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Mario Fritz – CISPA Helmholtz Center for Information Security

Mario Fritz – CISPA Helmholtz Center for Information Security

Prof. Dr. Mario Fritz


Faculty
CISPA Helmholtz Center for Information Security

Professor
Saarland University

Fellow
European Laboratory for Learning and Intelligent Systems (ELLIS)


Google Scholar 

Semantic Scholar


We are looking for PhD students and Post-Docs! Please get in touch.

My group is working on Trustworthy Information Processing with a focus on the intersection of AI & Machine Learning with Security & Privacy.


Recent projects and initiatives related to trustworthy AI/ML, health, privacy:

  • Coordinator and PI: European Lighthouse on Secure and Safe AI (ELSA)
  • Coordinator and PI: PriSyn: Representative, synthetic health data with strong privacy guarantees (BMBF)
  • PI: AIgency “Opportunities and Risks of generative AI in Cybersecurity” (BMBF)
  • PI: PrivateAIM – sichere verteilte Auswertung medizinischer Daten (Medizin Informatik Initiative)
  • Leading Scientist: Helmholtz Medical Security, Privacy, and AI Research Center (HMSP)
  • Coordinator and PI: PriSyn: Representative, synthetic health data with strong privacy guarantees
  • Coordinator and PI: ImageTox: Automated image-based detection of early toxicity events in zebrafish larvae
  • PI: Integrated Early Warning System for Local Recognition, Prevention, and Control for Epidemic Outbreaks (LOKI)
  • Partner-PI: The German Human Genome-Phenome Archive (GHGA)
  • Coordinator and PI: Trustworthy Federated Data Analytics Project (TFDA)
  • Coordinator and PI: Protecting Genetic Data with Synthetic Cohorts from Deep Generative Models (PRO-GENE-GEN)
  • Member of working group in “Forum Gesundheit” of BMBF: “AG Nutzbarmachung digitaler Daten für KI-Entwicklungen in der Gesundheitsforschung”

2011 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022

2025

Proceedings Articles

CausalGraph2LLM: Evaluating LLMs for Causal Queries

Ivaxi Sheth; Bahare Fatemi; Mario Fritz

CausalGraph2LLM: Evaluating LLMs for Causal Queries Proceedings Article

In: Findings of the Association for Computational Linguistics (NAACL), 2025.

Abstract | Links | BibTeX | Tags:

@inproceedings{sheth25acl,
title = {CausalGraph2LLM: Evaluating LLMs for Causal Queries},
author = {Ivaxi Sheth and Bahare Fatemi and Mario Fritz},
url = {https://arxiv.org/abs/2410.15939
https://arxiv.org/pdf/2410.15939},
year = {2025},
date = {2025-07-27},
urldate = {2025-07-27},
booktitle = {Findings of the Association for Computational Linguistics (NAACL)},
abstract = {https://arxiv.org/abs/2410.15939
https://arxiv.org/pdf/2410.15939},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

https://arxiv.org/abs/2410.15939
https://arxiv.org/pdf/2410.15939

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  • https://arxiv.org/abs/2410.15939
  • https://arxiv.org/pdf/2410.15939

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Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation

Yuxuan Zhou; Margret Keuper; Mario Fritz

Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation Proceedings Article

In: Annual Meeting of the Association for Computational Linguistics (ACL), 2025.

Links | BibTeX | Tags:

@inproceedings{zhou25acl,
title = {Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation},
author = {Yuxuan Zhou and Margret Keuper and Mario Fritz},
url = {https://arxiv.org/abs/2408.13586
https://arxiv.org/pdf/2408.13586},
year = {2025},
date = {2025-07-27},
booktitle = {Annual Meeting of the Association for Computational Linguistics (ACL)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/2408.13586
  • https://arxiv.org/pdf/2408.13586

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A Theory of LLM Sampling: Part Descriptive and Part Prescriptive

Sarath Sivaprasad; Pramod Kaushik; Sahar Abdelnabi; Mario Fritz

A Theory of LLM Sampling: Part Descriptive and Part Prescriptive Proceedings Article

In: Annual Meeting of the Association for Computational Linguistics (ACL), 2025.

Links | BibTeX | Tags:

@inproceedings{sarath25acl,
title = {A Theory of LLM Sampling: Part Descriptive and Part Prescriptive},
author = {Sarath Sivaprasad and Pramod Kaushik and Sahar Abdelnabi and Mario Fritz},
url = {https://arxiv.org/abs/2402.11005
https://arxiv.org/pdf/2402.11005},
year = {2025},
date = {2025-07-27},
booktitle = {Annual Meeting of the Association for Computational Linguistics (ACL)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/2402.11005
  • https://arxiv.org/pdf/2402.11005

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Stealix: Model Stealing via Prompt Evolution

Zhixiong Zhuang; Hui-Po Wang; Maria-Irina Nicolae; Mario Fritz

Stealix: Model Stealing via Prompt Evolution Proceedings Article

In: International Conference on Machine Learning (ICML), 2025.

BibTeX | Tags:

@inproceedings{zhuang25icml,
title = {Stealix: Model Stealing via Prompt Evolution},
author = {Zhixiong Zhuang and Hui-Po Wang and Maria-Irina Nicolae and Mario Fritz},
year = {2025},
date = {2025-07-13},
booktitle = {International Conference on Machine Learning (ICML)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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Pixel-level Certified Explanations via Randomized Smoothing

Alaa Anani; Tobias Lorenz; Mario Fritz; Bernt Schiele

Pixel-level Certified Explanations via Randomized Smoothing Proceedings Article

In: International Conference on Machine Learning (ICML), 2025.

BibTeX | Tags:

@inproceedings{anani25icml,
title = {Pixel-level Certified Explanations via Randomized Smoothing},
author = {Alaa Anani and Tobias Lorenz and Mario Fritz and Bernt Schiele},
year = {2025},
date = {2025-07-13},
booktitle = {International Conference on Machine Learning (ICML)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

Exploring the Potential of LLMs for Code Deobfuscation

David Beste; Grégoire Menguy; Hossein Hajipour; Mario Fritz; Antonio Emanuele; Sébastien Bardin; Thorsten Holz; Thorsten Eisenhofer; Lea Schönherr

Exploring the Potential of LLMs for Code Deobfuscation Proceedings Article

In: SIG SIDAR Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA), 2025.

BibTeX | Tags:

@inproceedings{beste25dmva,
title = {Exploring the Potential of LLMs for Code Deobfuscation},
author = {David Beste and Grégoire Menguy and Hossein Hajipour and Mario Fritz and Antonio Emanuele and Sébastien Bardin and Thorsten Holz and Thorsten Eisenhofer and Lea Schönherr},
year = {2025},
date = {2025-07-09},
booktitle = {SIG SIDAR Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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DocMIA: Document-Level Membership Inference Attacks against DocVQA Models

Khanh Nguyen; Raouf Kerkouche; Mario Fritz; Dimosthenis Karatzas

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models Proceedings Article

In: Thirteenth International Conference on Learning Representations (ICLR), 2025.

BibTeX | Tags:

@inproceedings{nguyen25iclr,
title = {DocMIA: Document-Level Membership Inference Attacks against DocVQA Models},
author = {Khanh Nguyen and Raouf Kerkouche and Mario Fritz and Dimosthenis Karatzas},
year = {2025},
date = {2025-04-24},
booktitle = {Thirteenth International Conference on Learning Representations (ICLR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?

Egor Zverev; Sahar Abdelnabi; Soroush Tabesh; Mario Fritz; Christoph H. Lampert

Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? Proceedings Article

In: Thirteenth International Conference on Learning Representations (ICLR), 2025.

Links | BibTeX | Tags:

@inproceedings{zverev25iclr,
title = {Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?},
author = {Egor Zverev and Sahar Abdelnabi and Soroush Tabesh and Mario Fritz and Christoph H. Lampert},
url = {https://arxiv.org/abs/2403.06833
https://arxiv.org/pdf/2403.06833},
year = {2025},
date = {2025-04-24},
booktitle = {Thirteenth International Conference on Learning Representations (ICLR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/2403.06833
  • https://arxiv.org/pdf/2403.06833

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Get my drift? Catching LLM Task Drift with Activation Deltas

Sahar Abdelnabi; Aideen Fay; Giovanni Cherubin; Ahmed Salem; Mario Fritz; Andrew Paverd

Get my drift? Catching LLM Task Drift with Activation Deltas Proceedings Article

In: IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) , 2025.

Links | BibTeX | Tags:

@inproceedings{abdelnabi25satml,
title = {Get my drift? Catching LLM Task Drift with Activation Deltas},
author = {Sahar Abdelnabi and Aideen Fay and Giovanni Cherubin and Ahmed Salem and Mario Fritz and Andrew Paverd},
url = {https://github.com/microsoft/TaskTracker},
year = {2025},
date = {2025-04-09},
urldate = {2025-04-09},
booktitle = {IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)
},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://github.com/microsoft/TaskTracker

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Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment

Yaling Shen; Zhixiong Zhuang; Kun Yuan; Maria-Irina Nicolae; Nassir Navab; Nicolas Padoy; Mario Fritz

Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment Proceedings Article

In: Association for the Advancement of Artificial Intelligence (AAAI), 2025.

Links | BibTeX | Tags:

@inproceedings{shen25aaai,
title = {Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment},
author = {Yaling Shen and Zhixiong Zhuang and Kun Yuan and Maria-Irina Nicolae and Nassir Navab and Nicolas Padoy and Mario Fritz },
url = {https://ojs.aaai.org/index.php/AAAI/article/view/32734
https://ojs.aaai.org/index.php/AAAI/article/view/32734/34889
},
year = {2025},
date = {2025-02-25},
urldate = {2025-02-25},
booktitle = {Association for the Advancement of Artificial Intelligence (AAAI)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://ojs.aaai.org/index.php/AAAI/article/view/32734
  • https://ojs.aaai.org/index.php/AAAI/article/view/32734/34889

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2024

Journal Articles

B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers

Moritz Böhle; Navdeeppal Singh; Mario Fritz; Bernt Schiele

B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers Journal Article

In: Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.

Links | BibTeX | Tags:

@article{boehle24tpami,
title = {B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers},
author = {Moritz Böhle and Navdeeppal Singh and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/2306.10898
https://arxiv.org/pdf/2306.10898.pdf},
year = {2024},
date = {2024-03-31},
journal = {Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

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  • https://arxiv.org/abs/2306.10898
  • https://arxiv.org/pdf/2306.10898.pdf

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A Unified View of Differentially Private Deep Generative Modeling

Dingfan Chen; Raouf Kerkouche; Mario Fritz

A Unified View of Differentially Private Deep Generative Modeling Journal Article

In: Transactions on Machine Learning Research (TMLR), 2024, ISSN: 2835-8856, (Survey Certification).

Links | BibTeX | Tags:

@article{chen2024unified,
title = {A Unified View of Differentially Private Deep Generative Modeling},
author = {Dingfan Chen and Raouf Kerkouche and Mario Fritz},
url = {https://openreview.net/pdf?id=YgmBD2c9qX},
issn = {2835-8856},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
journal = {Transactions on Machine Learning Research (TMLR)},
note = {Survey Certification},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

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  • https://openreview.net/pdf?id=YgmBD2c9qX

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Proceedings Articles

Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models

Hui-Po Wang; Mario Fritz

Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models Proceedings Article

In: Neural Information Processing Systems (NeurIPS), 2024.

Links | BibTeX | Tags:

@inproceedings{wang24neurips,
title = {Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models},
author = {Hui-Po Wang and Mario Fritz},
url = {https://arxiv.org/abs/2409.17836
https://arxiv.org/pdf/2409.17836},
year = {2024},
date = {2024-12-10},
booktitle = {Neural Information Processing Systems (NeurIPS)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/2409.17836
  • https://arxiv.org/pdf/2409.17836

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Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

Sahar Abdelnabi; Amr Gomaa; Sarath Sivaprasad andLea Schönherr; Mario Fritz

Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation Proceedings Article

In: Neural Information Processing Systems (NeurIPS), 2024.

Links | BibTeX | Tags:

@inproceedings{abdelnabi24neurips,
title = {Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation},
author = {Sahar Abdelnabi and Amr Gomaa and Sarath Sivaprasad andLea Schönherr and Mario Fritz},
url = {https://arxiv.org/abs/2309.17234
https://arxiv.org/pdf/2309.17234},
year = {2024},
date = {2024-12-10},
booktitle = {Neural Information Processing Systems (NeurIPS)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/2309.17234
  • https://arxiv.org/pdf/2309.17234

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Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition

Edoardo Debenedetti; Javier Rando; Daniel Paleka; Silaghi Fineas Florin; Dragos Albastroiu; Niv Cohen; Yuval Lemberg; Reshmi Ghosh; Rui Wen; Ahmed Salem; Giovanni Cherubin; Santiago Zanella-Beguelin; Robin Schmid; Victor Klemm; Takahiro Miki; Chenhao Li; Stefan Kraft; Mario Fritz; Florian Tramèr; Sahar Abdelnabi; Lea Schönherr

Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition Proceedings Article

In: Neural Information Processing Systems (NeurIPS), 2024.

Links | BibTeX | Tags:

@inproceedings{llmctf24neurips,
title = {Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition},
author = {Edoardo Debenedetti and Javier Rando and Daniel Paleka and Silaghi Fineas Florin and Dragos Albastroiu and Niv Cohen and Yuval Lemberg and Reshmi Ghosh and Rui Wen and Ahmed Salem and Giovanni Cherubin and Santiago Zanella-Beguelin and Robin Schmid and Victor Klemm and Takahiro Miki and Chenhao Li and Stefan Kraft and Mario Fritz and Florian Tramèr and Sahar Abdelnabi and Lea Schönherr},
url = {https://arxiv.org/abs/2406.07954
https://arxiv.org/pdf/2406.07954},
year = {2024},
date = {2024-12-10},
booktitle = {Neural Information Processing Systems (NeurIPS)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/2406.07954
  • https://arxiv.org/pdf/2406.07954

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LLM2Swarm: Robot Swarms that Responsively Reason, Plan, and Collaborate through LLMs

Volker Strobel; Marco Dorigo; Mario Fritz

LLM2Swarm: Robot Swarms that Responsively Reason, Plan, and Collaborate through LLMs Proceedings Article

In: NeurIPS Workshop on Open-World Agents (NeurIPS-W) , 2024.

Links | BibTeX | Tags:

@inproceedings{strobel24neurips,
title = {LLM2Swarm: Robot Swarms that Responsively Reason, Plan, and Collaborate through LLMs},
author = {Volker Strobel and Marco Dorigo and Mario Fritz},
url = {https://arxiv.org/abs/2410.11387
https://arxiv.org/pdf/2410.11387},
year = {2024},
date = {2024-12-09},
urldate = {2024-12-11},
booktitle = {NeurIPS Workshop on Open-World Agents (NeurIPS-W) },
howpublished = {Open-World Agents Workshop (NeurIPS-W) },
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/2410.11387
  • https://arxiv.org/pdf/2410.11387

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Hypothesizing Missing Causal Variables with LLMs

Ivaxi Sheth; Sahar Abdelnabi; Mario Fritz

Hypothesizing Missing Causal Variables with LLMs Proceedings Article

In: NeurIPS Workshop on CaLM: Causality and Large Models (NeurIPS-W), 2024.

Links | BibTeX | Tags:

@inproceedings{sheth24neuripsw1,
title = {Hypothesizing Missing Causal Variables with LLMs},
author = {Ivaxi Sheth and Sahar Abdelnabi and Mario Fritz},
url = {https://arxiv.org/abs/2409.02604
https://arxiv.org/pdf/2409.02604},
year = {2024},
date = {2024-12-09},
booktitle = {NeurIPS Workshop on CaLM: Causality and Large Models (NeurIPS-W)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/2409.02604
  • https://arxiv.org/pdf/2409.02604

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CausalGraph2LLM: Evaluating LLMs for Causal Queries

Ivaxi Sheth; Bahare Fatemi; Mario Fritz

CausalGraph2LLM: Evaluating LLMs for Causal Queries Proceedings Article

In: NeurIPS Workshop on CaLM: Causality and Large Models (NeurIPS-W), 2024.

Links | BibTeX | Tags:

@inproceedings{sheth24neuripsw2,
title = {CausalGraph2LLM: Evaluating LLMs for Causal Queries},
author = {Ivaxi Sheth and Bahare Fatemi and Mario Fritz},
url = {https://arxiv.org/abs/2410.15939
https://arxiv.org/pdf/2410.15939},
year = {2024},
date = {2024-12-09},
booktitle = {NeurIPS Workshop on CaLM: Causality and Large Models (NeurIPS-W)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/2410.15939
  • https://arxiv.org/pdf/2410.15939

Close

LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History

Akash Gupta; Ivaxi Sheth; Vyas Raina; Mark Gales; Mario Fritz

LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History Proceedings Article

In: Al-Onaizan, Yaser; Bansal, Mohit; Chen, Yun-Nung (Ed.): Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 14633–14652, Association for Computational Linguistics, Miami, Florida, USA, 2024.

Abstract | Links | BibTeX | Tags:

@inproceedings{gupta-etal-2024-llm,
title = {LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History},
author = {Akash Gupta and Ivaxi Sheth and Vyas Raina and Mark Gales and Mario Fritz},
editor = {Yaser Al-Onaizan and Mohit Bansal and Yun-Nung Chen},
url = {https://aclanthology.org/2024.emnlp-main.811
https://aclanthology.org/2024.emnlp-main.811.pdf},
year = {2024},
date = {2024-11-01},
urldate = {2024-11-01},
booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
pages = {14633–14652},
publisher = {Association for Computational Linguistics},
address = {Miami, Florida, USA},
abstract = {With the recent emergence of powerful instruction-tuned large language models (LLMs), various helpful conversational Artificial Intelligence (AI) systems have been deployed across many applications. When prompted by users, these AI systems successfully perform a wide range of tasks as part of a conversation. To provide some sort of memory and context, such approaches typically condition their output on the entire conversational history. Although this sensitivity to the conversational history can often lead to improved performance on subsequent tasks, we find that performance can in fact also be negatively impacted, if there is a _task-switch_. To the best of our knowledge, our work makes the first attempt to formalize the study of such vulnerabilities and interference of tasks in conversational LLMs caused by task-switches in the conversational history. Our experiments across 5 datasets with 15 task switches using popular LLMs reveal that many of the task-switches can lead to significant performance degradation.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

With the recent emergence of powerful instruction-tuned large language models (LLMs), various helpful conversational Artificial Intelligence (AI) systems have been deployed across many applications. When prompted by users, these AI systems successfully perform a wide range of tasks as part of a conversation. To provide some sort of memory and context, such approaches typically condition their output on the entire conversational history. Although this sensitivity to the conversational history can often lead to improved performance on subsequent tasks, we find that performance can in fact also be negatively impacted, if there is a _task-switch_. To the best of our knowledge, our work makes the first attempt to formalize the study of such vulnerabilities and interference of tasks in conversational LLMs caused by task-switches in the conversational history. Our experiments across 5 datasets with 15 task switches using popular LLMs reveal that many of the task-switches can lead to significant performance degradation.

Close

  • https://aclanthology.org/2024.emnlp-main.811
  • https://aclanthology.org/2024.emnlp-main.811.pdf

Close

Inside the Black Box: Detecting Data Leakage in Pre-trained Language Encoders

Yuan Xin; Zheng Li; Ning Yu; Dingfan Chen; Mario Fritz; Michael Backes; Yang Zhang

Inside the Black Box: Detecting Data Leakage in Pre-trained Language Encoders Proceedings Article

In: European Conference on Artificial Intelligence (ECAI), 2024.

Links | BibTeX | Tags:

@inproceedings{xin24ecai,
title = {Inside the Black Box: Detecting Data Leakage in Pre-trained Language Encoders},
author = {Yuan Xin and Zheng Li and Ning Yu and Dingfan Chen and Mario Fritz and Michael Backes and Yang Zhang},
url = {https://arxiv.org/abs/2408.11046
https://arxiv.org/pdf/2408.11046},
year = {2024},
date = {2024-10-19},
urldate = {2024-10-19},
booktitle = {European Conference on Artificial Intelligence (ECAI)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/2408.11046
  • https://arxiv.org/pdf/2408.11046

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FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks

Tobias Lorenz; Marta Kwiatkowska; Mario Fritz

FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks Proceedings Article

In: German Conference on Pattern Recognition (GCPR) , 2024, (to appear).

Links | BibTeX | Tags:

@inproceedings{lorenz24gcpr,
title = {FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks},
author = {Tobias Lorenz and Marta Kwiatkowska and Mario Fritz},
url = {https://arxiv.org/abs/2406.11522
https://arxiv.org/pdf/2406.11522},
year = {2024},
date = {2024-09-10},
urldate = {2024-09-10},
booktitle = {German Conference on Pattern Recognition (GCPR) },
note = {to appear},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/2406.11522
  • https://arxiv.org/pdf/2406.11522

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Privacy-Aware Document Visual Question Answering

Rubèn Pérez Tito; Khanh Nguyen; Marlon Tobaben; Raouf Kerkouche; Mohamed Ali Souibgui; Gangsoo Jung; Joonas Jälkö; Vincent Poulain D'Andecy; Aurelie Joseph; Lei Kang; Ernest Valveny; Antti Honkela; Mario Fritz; Dimosthenis Karatzas

Privacy-Aware Document Visual Question Answering Proceedings Article

In: International Conference on Document Analysis and Recognition (ICDAR), 2024.

Links | BibTeX | Tags:

@inproceedings{tito24icdar,
title = {Privacy-Aware Document Visual Question Answering},
author = {Rubèn Pérez Tito and Khanh Nguyen and Marlon Tobaben and Raouf Kerkouche and Mohamed Ali Souibgui and Gangsoo Jung and Joonas Jälkö and Vincent Poulain D'Andecy and Aurelie Joseph and Lei Kang and Ernest Valveny and Antti Honkela and Mario Fritz and Dimosthenis Karatzas},
url = {https://arxiv.org/pdf/2312.10108},
year = {2024},
date = {2024-08-30},
booktitle = {International Conference on Document Analysis and Recognition (ICDAR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/pdf/2312.10108

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SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models

Boyang Zhang; Zheng Li; Ziqing Yang; Xinlei He; Michael Backes; Mario Fritz; Yang Zhang

SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models Proceedings Article

In: USENIX Security Symposium (USENIX), 2024.

Links | BibTeX | Tags:

@inproceedings{boyang24usenix,
title = {SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models},
author = {Boyang Zhang and Zheng Li and Ziqing Yang and Xinlei He and Michael Backes and Mario Fritz and Yang Zhang},
url = {https://arxiv.org/abs/2310.12665
https://arxiv.org/pdf/2310.12665.pdf},
year = {2024},
date = {2024-08-24},
booktitle = {USENIX Security Symposium (USENIX)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/2310.12665
  • https://arxiv.org/pdf/2310.12665.pdf

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Stealthy Imitation: Reward-guided Environment-free Policy Stealing

Zhixiong Zhuang; Maria-Irina Nicolae; Mario Fritz

Stealthy Imitation: Reward-guided Environment-free Policy Stealing Proceedings Article

In: International Conference on Machine Learning (ICML), 2024.

Links | BibTeX | Tags:

@inproceedings{zhuang24icml,
title = {Stealthy Imitation: Reward-guided Environment-free Policy Stealing},
author = {Zhixiong Zhuang and Maria-Irina Nicolae and Mario Fritz},
url = {https://arxiv.org/abs/2405.07004
https://arxiv.org/pdf/2405.07004},
year = {2024},
date = {2024-07-21},
urldate = {2024-07-21},
booktitle = {International Conference on Machine Learning (ICML)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/2405.07004
  • https://arxiv.org/pdf/2405.07004

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Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing

Alaa Anani; Tobias Lorenz; Bernt Schiele; Mario Fritz

Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing Proceedings Article

In: International Conference on Machine Learning (ICML), 2024.

Links | BibTeX | Tags:

@inproceedings{anani24icml,
title = {Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing},
author = {Alaa Anani and Tobias Lorenz and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/2402.08400
https://arxiv.org/pdf/2402.08400},
year = {2024},
date = {2024-07-21},
booktitle = {International Conference on Machine Learning (ICML)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/2402.08400
  • https://arxiv.org/pdf/2402.08400

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MultiMax: Sparse and Multi-Modal Attention Learning

Yuxuan Zhou; Mario Fritz; Margret Keuper

MultiMax: Sparse and Multi-Modal Attention Learning Proceedings Article

In: International Conference on Machine Learning (ICML), 2024.

Links | BibTeX | Tags:

@inproceedings{zhou24icml,
title = {MultiMax: Sparse and Multi-Modal Attention Learning},
author = {Yuxuan Zhou and Mario Fritz and Margret Keuper},
url = {https://arxiv.org/abs/2406.01189
https://arxiv.org/pdf/2406.01189},
year = {2024},
date = {2024-07-21},
urldate = {2024-07-21},
booktitle = {International Conference on Machine Learning (ICML)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/2406.01189
  • https://arxiv.org/pdf/2406.01189

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Towards Biologically Plausible and Private Gene Expression Data Generation

Dingfan Chen; Marie Oestreich; Tejumade Afonja; Raouf Kerkouche; Matthias Becker; Mario Fritz

Towards Biologically Plausible and Private Gene Expression Data Generation Proceedings Article

In: The 24th Privacy Enhancing Technologies Symposium (PETS), 2024.

Links | BibTeX | Tags:

@inproceedings{chen24pets,
title = {Towards Biologically Plausible and Private Gene Expression Data Generation},
author = {Dingfan Chen and Marie Oestreich and Tejumade Afonja and Raouf Kerkouche and Matthias Becker and Mario Fritz},
url = {https://arxiv.org/abs/2402.04912
https://arxiv.org/pdf/2402.04912.pdf},
year = {2024},
date = {2024-07-15},
urldate = {2024-07-15},
booktitle = {The 24th Privacy Enhancing Technologies Symposium (PETS)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/2402.04912
  • https://arxiv.org/pdf/2402.04912.pdf

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FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations

Hui-Po Wang; Dingfan Chen; Raouf Kerkouche; Mario Fritz

FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations Proceedings Article

In: The 24th Privacy Enhancing Technologies Symposium (PETS), 2024.

Links | BibTeX | Tags:

@inproceedings{wang24pets,
title = {FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations},
author = {Hui-Po Wang and Dingfan Chen and Raouf Kerkouche and Mario Fritz},
url = {https://arxiv.org/abs/2302.01068
https://arxiv.org/pdf/2302.01068},
year = {2024},
date = {2024-07-15},
booktitle = {The 24th Privacy Enhancing Technologies Symposium (PETS)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/2302.01068
  • https://arxiv.org/pdf/2302.01068

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Tell me what you like and I know what you will share: Topical interest influences behavior toward news from high and low credible sources

Rebecca Weil; Sahar Abdelnabi; Mario Fritz; Rakibul Hasan

Tell me what you like and I know what you will share: Topical interest influences behavior toward news from high and low credible sources Proceedings Article

In: 4th International Workshop on Socio-Technical Aspects in Security, 2024.

Links | BibTeX | Tags:

@inproceedings{weil24stast,
title = {Tell me what you like and I know what you will share: Topical interest influences behavior toward news from high and low credible sources},
author = {Rebecca Weil and Sahar Abdelnabi and Mario Fritz and Rakibul Hasan },
url = {https://www.computer.org/csdl/proceedings-article/eurospw/2024/672900a504/1ZyWJ8iwiys},
year = {2024},
date = {2024-07-02},
urldate = {2024-07-02},
booktitle = {4th International Workshop on Socio-Technical Aspects in Security},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://www.computer.org/csdl/proceedings-article/eurospw/2024/672900a504/1ZyWJ8[...]

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SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models

Hossein Hajipour; Ning Yu; Cristian-Alexandru Staicu; Mario Fritz

SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models Proceedings Article

In: Findings of the Association for Computational Linguistics: NAACL 2024, 2024.

Links | BibTeX | Tags:

@inproceedings{hajipour24naacl,
title = {SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models},
author = {Hossein Hajipour and Ning Yu and Cristian-Alexandru Staicu and Mario Fritz},
url = {https://arxiv.org/abs/2210.04802
https://arxiv.org/pdf/2210.04802},
year = {2024},
date = {2024-06-16},
urldate = {2024-06-16},
booktitle = {Findings of the Association for Computational Linguistics: NAACL 2024},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/2210.04802
  • https://arxiv.org/pdf/2210.04802

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PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics

Derui Zhu; Dingfan Chen; Qing Li; Zongxiong Chen; Lei Ma; Jens Grossklags; Mario Fritz

PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics Proceedings Article

In: Findings of the Association for Computational Linguistics: NAACL 2024, 2024.

Links | BibTeX | Tags:

@inproceedings{zhu14naacl,
title = {PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics},
author = {Derui Zhu and Dingfan Chen and Qing Li and Zongxiong Chen and Lei Ma and Jens Grossklags and Mario Fritz},
url = {https://arxiv.org/abs/2404.04722
https://arxiv.org/pdf/2404.04722},
year = {2024},
date = {2024-06-16},
urldate = {2024-06-16},
booktitle = {Findings of the Association for Computational Linguistics: NAACL 2024},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/2404.04722
  • https://arxiv.org/pdf/2404.04722

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Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?

Egor Zverev; Sahar Abdelnabi; Mario Fritz; Christoph H. Lampert

Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? Proceedings Article

In: Workshop on Secure and Trustworthy Large Language Models at ICLR, 2024.

Links | BibTeX | Tags:

@inproceedings{zverev24setllm,
title = {Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?},
author = { Egor Zverev and Sahar Abdelnabi and Mario Fritz and Christoph H. Lampert},
url = {https://arxiv.org/abs/2403.06833
https://arxiv.org/pdf/2403.06833},
year = {2024},
date = {2024-05-11},
urldate = {2024-05-11},
booktitle = {Workshop on Secure and Trustworthy Large Language Models at ICLR},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/2403.06833
  • https://arxiv.org/pdf/2403.06833

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LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games

Sahar Abdelnabi; Amr Gomaa and Sarath Sivaprasad and  Lea Schönherr  and Mario Fritz

LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games Proceedings Article

In: ICLR 2024 Workshop on LLM Agents, 2024.

Links | BibTeX | Tags:

@inproceedings{abdelnabi24agents,
title = {LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games},
author = {Sahar Abdelnabi and Amr Gomaa and Sarath Sivaprasad and  Lea Schönherr  and Mario Fritz},
url = {https://arxiv.org/pdf/2309.17234},
year = {2024},
date = {2024-05-11},
urldate = {2024-05-11},
booktitle = {ICLR 2024 Workshop on LLM Agents},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/pdf/2309.17234

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On Adversarial Training without Perturbing All Examples

Max Losch; Mohamed Omran; David Stutz; Mario Fritz; Bernt Schiele

On Adversarial Training without Perturbing All Examples Proceedings Article

In: The Twelfth International Conference on Learning Representations (ICLR), 2024.

Links | BibTeX | Tags:

@inproceedings{losch24iclr,
title = {On Adversarial Training without Perturbing All Examples},
author = {Max Losch and Mohamed Omran and David Stutz and Mario Fritz and Bernt Schiele},
url = {https://openreview.net/forum?id=aS2Yl8s5OG
https://openreview.net/pdf?id=aS2Yl8s5OG},
year = {2024},
date = {2024-05-07},
urldate = {2024-05-07},
booktitle = {The Twelfth International Conference on Learning Representations (ICLR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://openreview.net/forum?id=aS2Yl8s5OG
  • https://openreview.net/pdf?id=aS2Yl8s5OG

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CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models

Hossein Hajipour; Keno Hassler; Thorsten Holz; Lea Schönherr; Mario Fritz

CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models Proceedings Article

In: 2nd IEEE Conference on Secure and Trustworthy Machine Learning (SATML), 2024.

Links | BibTeX | Tags:

@inproceedings{hajipour24satml,
title = {CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models},
author = {Hossein Hajipour and Keno Hassler and Thorsten Holz and Lea Schönherr and Mario Fritz},
url = {https://arxiv.org/abs/2302.04012
https://arxiv.org/pdf/2302.04012.pdf},
year = {2024},
date = {2024-04-09},
urldate = {2024-04-09},
booktitle = {2nd IEEE Conference on Secure and Trustworthy Machine Learning (SATML)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/2302.04012
  • https://arxiv.org/pdf/2302.04012.pdf

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Miscellaneous

Fundamental Risks in the Current Deployment of General-Purpose AI Models: What Have We (Not) Learnt From Cybersecurity?

Mario Fritz

Fundamental Risks in the Current Deployment of General-Purpose AI Models: What Have We (Not) Learnt From Cybersecurity? Miscellaneous

European AI Office Workshop: Evaluating General-Purpose AI Models with Systemic Risk, 2024.

Links | BibTeX | Tags:

@misc{fritz24aioffice,
title = {Fundamental Risks in the Current Deployment of General-Purpose AI Models: What Have We (Not) Learnt From Cybersecurity?},
author = {Mario Fritz},
url = {https://arxiv.org/abs/2501.01435
https://arxiv.org/pdf/2501.01435},
year = {2024},
date = {2024-12-13},
urldate = {2024-12-13},
howpublished = {European AI Office Workshop: Evaluating General-Purpose AI Models with Systemic Risk},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}

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  • https://arxiv.org/abs/2501.01435
  • https://arxiv.org/pdf/2501.01435

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ELSA Strategic Research Agenda: Facing the Grand  Challenges of Secure and Safe AI

Plamen Angelov; Battista Biggio; Mario Fritz; Antti Honkela; Dimosthenis Karatzas

ELSA Strategic Research Agenda: Facing the Grand Challenges of Secure and Safe AI Miscellaneous

2024.

Links | BibTeX | Tags:

@misc{angelov_2024_10469287,
title = {ELSA Strategic Research Agenda: Facing the Grand Challenges of Secure and Safe AI},
author = {Plamen Angelov and Battista Biggio and Mario Fritz and Antti Honkela and Dimosthenis Karatzas},
url = {https://doi.org/10.5281/zenodo.10469287
https://zenodo.org/records/10469287/files/ELSA_D5.3_D34_Strategic_Research_Agenda_PU_V1.0_FINAL.pdf?download=1},
doi = {10.5281/zenodo.10469287},
year = {2024},
date = {2024-04-01},
urldate = {2024-04-01},
publisher = {Zenodo},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}

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  • https://doi.org/10.5281/zenodo.10469287
  • https://zenodo.org/records/10469287/files/ELSA_D5.3_D34_Strategic_Research_Agend[...]
  • doi:10.5281/zenodo.10469287

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2023

Journal Articles

Optimising for Interpretability: Convolutional Dynamic Alignment Networks

Moritz Böhle; Mario Fritz; Bernt Schiele

Optimising for Interpretability: Convolutional Dynamic Alignment Networks Journal Article

In: Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 6, pp. 7625–7638, 2023.

Links | BibTeX | Tags:

@article{DBLP:journals/pami/BohleFS23,
title = {Optimising for Interpretability: Convolutional Dynamic Alignment Networks},
author = {Moritz Böhle and Mario Fritz and Bernt Schiele},
url = {https://doi.org/10.1109/TPAMI.2022.3226041},
doi = {10.1109/TPAMI.2022.3226041},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
journal = {Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
volume = {45},
number = {6},
pages = {7625–7638},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

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  • https://doi.org/10.1109/TPAMI.2022.3226041
  • doi:10.1109/TPAMI.2022.3226041

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Proceedings Articles

Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection

Kai Greshake; Sahar Abdelnabi; Shailesh Mishra; Christoph Endres; Thorsten Holz; Mario Fritz

Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection Proceedings Article

In: 16th ACM Workshop on Artificial Intelligence and Security (AISec), 2023.

Links | BibTeX | Tags:

@inproceedings{greshake23aisec,
title = {Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection},
author = {Kai Greshake and Sahar Abdelnabi and Shailesh Mishra and Christoph Endres and Thorsten Holz and Mario Fritz},
url = {https://arxiv.org/abs/2302.12173
https://arxiv.org/pdf/2302.12173.pdf},
year = {2023},
date = {2023-11-30},
booktitle = {16th ACM Workshop on Artificial Intelligence and Security (AISec)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/2302.12173
  • https://arxiv.org/pdf/2302.12173.pdf

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Certifiers Make Neural Networks Vulnerable to Availability Attacks

Tobias Lorenz, Marta Kwiatkowska, Mario Fritz

Certifiers Make Neural Networks Vulnerable to Availability Attacks Proceedings Article

In: 16th ACM Workshop on Artificial Intelligence and Security (AISec), 2023.

Links | BibTeX | Tags:

@inproceedings{lorenz23aisec,
title = {Certifiers Make Neural Networks Vulnerable to Availability Attacks},
author = {Tobias Lorenz, Marta Kwiatkowska, Mario Fritz},
url = {https://arxiv.org/abs/2108.11299
https://arxiv.org/pdf/2108.11299.pdf},
year = {2023},
date = {2023-11-30},
urldate = {2024-11-30},
booktitle = {16th ACM Workshop on Artificial Intelligence and Security (AISec)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/2108.11299
  • https://arxiv.org/pdf/2108.11299.pdf

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Certified Robust Models with Slack Control and Large Lipschitz Constants

Max Losch; David Stutz; Bernt Schiele; Mario Fritz

Certified Robust Models with Slack Control and Large Lipschitz Constants Proceedings Article

In: DAGM German Conference on Pattern Recognition (GCPR), 2023.

Links | BibTeX | Tags:

@inproceedings{losch23gcpr,
title = {Certified Robust Models with Slack Control and Large Lipschitz Constants},
author = {Max Losch and David Stutz and Bernt Schiele and Mario Fritz },
url = {https://arxiv.org/abs/2309.06166
https://arxiv.org/pdf/2309.06166.pdf},
year = {2023},
date = {2023-09-19},
urldate = {2024-09-19},
booktitle = {DAGM German Conference on Pattern Recognition (GCPR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/2309.06166
  • https://arxiv.org/pdf/2309.06166.pdf

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Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems

Sahar Abdelnabi; Mario Fritz

Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems Proceedings Article

In: USENIX Security Symposium (USENIX Security)}, 2023.

Links | BibTeX | Tags:

@inproceedings{abdelnabi23usenix,
title = {Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems},
author = {Sahar Abdelnabi and Mario Fritz},
url = {https://arxiv.org/abs/2209.03755
https://arxiv.org/pdf/2209.03755.pdf},
year = {2023},
date = {2023-08-09},
booktitle = {USENIX Security Symposium (USENIX Security)}},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/2209.03755
  • https://arxiv.org/pdf/2209.03755.pdf

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Compromising LLMs: The Advent of AI Malware

Kai Greshake; Sahar Abdelnabi; Shailesh Mishra; Christoph Endres; Thorsten Holz; Mario Fritz

Compromising LLMs: The Advent of AI Malware Proceedings Article

In: BlackHat, 2023.

Links | BibTeX | Tags:

@inproceedings{nokey,
title = {Compromising LLMs: The Advent of AI Malware },
author = {Kai Greshake and Sahar Abdelnabi and Shailesh Mishra and Christoph Endres and Thorsten Holz and Mario Fritz},
url = {https://i.blackhat.com/BH-US-23/Presentations/US-23-Greshake-Compromising-LLMS.pdf},
year = {2023},
date = {2023-08-09},
booktitle = {BlackHat},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://i.blackhat.com/BH-US-23/Presentations/US-23-Greshake-Compromising-LLMS.p[...]

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UnGANable: Defending Against GAN-based Face Manipulation

Zheng Li; Ning Yu; Ahmed Salem; Michael Backes; Mario Fritz; Yang Zhang

UnGANable: Defending Against GAN-based Face Manipulation Proceedings Article

In: USENIX Security Symposium (USENIX Security), 2023.

Links | BibTeX | Tags:

@inproceedings{li23usenix,
title = {UnGANable: Defending Against GAN-based Face Manipulation},
author = {Zheng Li and Ning Yu and Ahmed Salem and Michael Backes and Mario Fritz and Yang Zhang},
url = {https://arxiv.org/abs/2210.00957
https://arxiv.org/pdf/2210.00957.pdf},
year = {2023},
date = {2023-08-09},
booktitle = {USENIX Security Symposium (USENIX Security)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/2210.00957
  • https://arxiv.org/pdf/2210.00957.pdf

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From Attachments to SEO: Click Here to Learn More about Clickbait  PDFs!

Giada Stivala; Sahar Abdelnabi; Andrea Mengascini; Mariano Graziano; Mario Fritz; Giancarlo Pellegrino

From Attachments to SEO: Click Here to Learn More about Clickbait PDFs! Proceedings Article

In: Annual Computer Security Applications Conference, ACSAC 2023, Austin, TX, USA, December 4-8, 2023, pp. 14–28, ACM, 2023.

Links | BibTeX | Tags:

@inproceedings{DBLP:conf/acsac/StivalaAMGFP23,
title = {From Attachments to SEO: Click Here to Learn More about Clickbait PDFs!},
author = {Giada Stivala and Sahar Abdelnabi and Andrea Mengascini and Mariano Graziano and Mario Fritz and Giancarlo Pellegrino},
url = {https://doi.org/10.1145/3627106.3627172},
doi = {10.1145/3627106.3627172},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
booktitle = {Annual Computer Security Applications Conference, ACSAC 2023, Austin,
TX, USA, December 4-8, 2023},
pages = {14–28},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://doi.org/10.1145/3627106.3627172
  • doi:10.1145/3627106.3627172

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Client-specific Property Inference against Secure Aggregation in Federated  Learning

Raouf Kerkouche; Gergely Ács; Mario Fritz

Client-specific Property Inference against Secure Aggregation in Federated Learning Proceedings Article

In: Proceedings of the 22nd Workshop on Privacy in the Electronic Society (WPES), ACM, 2023.

Links | BibTeX | Tags:

@inproceedings{DBLP:conf/wpes/KerkoucheAF23,
title = {Client-specific Property Inference against Secure Aggregation in Federated Learning},
author = {Raouf Kerkouche and Gergely Ács and Mario Fritz},
url = {https://doi.org/10.1145/3603216.3624964
https://arxiv.org/abs/2303.03908},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
booktitle = {Proceedings of the 22nd Workshop on Privacy in the Electronic Society (WPES)},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://doi.org/10.1145/3603216.3624964
  • https://arxiv.org/abs/2303.03908

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Proceedings

Proceedings of the 7th ACM Computer Science in Cars Symposium, CSCS  2023, Darmstadt, Germany, 5 December 2023

Björn Brücher; Christoph Krauß; Mario Fritz; Hans-Joachim Hof; Oliver Wasenmüller (Ed.)

Proceedings of the 7th ACM Computer Science in Cars Symposium, CSCS 2023, Darmstadt, Germany, 5 December 2023 Proceedings

ACM, 2023.

Links | BibTeX | Tags:

@proceedings{DBLP:conf/cscs2/2023,
title = {Proceedings of the 7th ACM Computer Science in Cars Symposium, CSCS 2023, Darmstadt, Germany, 5 December 2023},
editor = {Björn Brücher and Christoph Krauß and Mario Fritz and Hans-Joachim Hof and Oliver Wasenmüller},
url = {https://doi.org/10.1145/3631204},
doi = {10.1145/3631204},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}

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  • https://doi.org/10.1145/3631204
  • doi:10.1145/3631204

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Technical Reports

Protik Bose Pranto; Waqar Hassan Khan andSahar Abdelnabi; Rebecca Weil; Mario Fritz; Rakibul Hasan

Understanding the Effect of Private Data in Disinformation Propagation Technical Report

2023.

Links | BibTeX | Tags:

@techreport{rakib23soups,
title = {Understanding the Effect of Private Data in Disinformation Propagation},
author = {Protik Bose Pranto and Waqar Hassan Khan andSahar Abdelnabi and Rebecca Weil and Mario Fritz and Rakibul Hasan},
url = {https://persue-lab-asu.github.io/assets/publications/SOUPS_23_poster_misinfo/abstract.pdf},
year = {2023},
date = {2023-08-06},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://persue-lab-asu.github.io/assets/publications/SOUPS_23_poster_misinfo/abs[...]

Close

Protik Bose Pranto; Waqar Hassan Khan; Sahar Abdelnabi; Rebecca Weil; Mario Fritz; Rakibul Hasan

From Bad to Worse: Using Private Data to Propagate Disinformation on Online Platforms with a Greater Efficiency Technical Report

2023.

Links | BibTeX | Tags:

@techreport{DBLP:journals/corr/abs-2306-04883,
title = {From Bad to Worse: Using Private Data to Propagate Disinformation on Online Platforms with a Greater Efficiency},
author = {Protik Bose Pranto and Waqar Hassan Khan and Sahar Abdelnabi and Rebecca Weil and Mario Fritz and Rakibul Hasan},
url = {https://doi.org/10.48550/arXiv.2306.04883
https://persue-lab-asu.github.io/assets/publications/CHI_23_Design_Policy_misinfo.pdf},
doi = {10.48550/ARXIV.2306.04883},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
journal = {CoRR},
volume = {abs/2306.04883},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://doi.org/10.48550/arXiv.2306.04883
  • https://persue-lab-asu.github.io/assets/publications/CHI_23_Design_Policy_misinf[...]
  • doi:10.48550/ARXIV.2306.04883

Close

2022

Journal Articles

Understanding Utility and Privacy of Demographic Data in Education Technology by Causal Analysis and Adversarial-Censoring

Rakibul Hasan; Mario Fritz

Understanding Utility and Privacy of Demographic Data in Education Technology by Causal Analysis and Adversarial-Censoring Journal Article

In: Proceedings on Privacy Enhancing Technologies, vol. 2022, no. 2, pp. 245–262, 2022.

Links | BibTeX | Tags:

@article{hasan22popets,
title = {Understanding Utility and Privacy of Demographic Data in Education Technology by Causal Analysis and Adversarial-Censoring},
author = {Rakibul Hasan and Mario Fritz},
url = {https://sciendo.com/it/article/10.2478/popets-2022-0044
https://doi.org/10.2478/popets-2022-0044
https://rakib062.github.io/files/EduTech_PETS_22_Preprint.pdf},
doi = {doi:10.2478/popets-2022-0044},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
journal = {Proceedings on Privacy Enhancing Technologies},
volume = {2022},
number = {2},
pages = {245--262},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

Close

  • https://sciendo.com/it/article/10.2478/popets-2022-0044
  • https://doi.org/10.2478/popets-2022-0044
  • https://rakib062.github.io/files/EduTech_PETS_22_Preprint.pdf
  • doi:doi:10.2478/popets-2022-0044

Close

Proceedings Articles

Private Set Generation with Discriminative Information

Dingfan Chen; Raouf Kerkouche; Mario Fritz

Private Set Generation with Discriminative Information Proceedings Article

In: Neural Information Processing Systems (NeurIPS), 2022.

Links | BibTeX | Tags:

@inproceedings{chen22neurips,
title = {Private Set Generation with Discriminative Information},
author = {Dingfan Chen and Raouf Kerkouche and Mario Fritz},
url = {https://arxiv.org/abs/2211.04446
https://arxiv.org/pdf/2211.04446.pdf},
year = {2022},
date = {2022-12-01},
booktitle = {Neural Information Processing Systems (NeurIPS)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/2211.04446
  • https://arxiv.org/pdf/2211.04446.pdf

Close

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models

Yugeng Liu; Rui Wen; Xinlei He; Ahmed Salem; Zhikun Zhang; Michael Backes; Emiliano De Cristofaro; Mario Fritz; Yang Zhang

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models Proceedings Article

In: USENIX Security Symposium (USENIX Security), 2022.

Links | BibTeX | Tags: 2022

@inproceedings{usenix22liu,
title = {ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models},
author = {Yugeng Liu and Rui Wen and Xinlei He and Ahmed Salem and Zhikun Zhang and Michael Backes and Emiliano De Cristofaro and Mario Fritz and Yang Zhang},
url = {https://arxiv.org/abs/2102.02551
https://arxiv.org/pdf/2102.02551.pdf},
year = {2022},
date = {2022-08-22},
urldate = {2022-08-22},
booktitle = {USENIX Security Symposium (USENIX Security)},
keywords = {2022},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/2102.02551
  • https://arxiv.org/pdf/2102.02551.pdf

Close

ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training

Hui-Po Wang; Sebastian Stich; Yang He; Mario Fritz

ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training Proceedings Article

In: International Conference on Machine Learning (ICML), 2022.

Links | BibTeX | Tags:

@inproceedings{wang2022progfed,
title = {ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training},
author = {Hui-Po Wang and Sebastian Stich and Yang He and Mario Fritz},
url = {https://proceedings.mlr.press/v162/wang22y/wang22y.pdf
https://github.com/a514514772/ProgFed},
year = {2022},
date = {2022-07-18},
urldate = {2022-01-01},
booktitle = {International Conference on Machine Learning (ICML)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://proceedings.mlr.press/v162/wang22y/wang22y.pdf
  • https://github.com/a514514772/ProgFed

Close

B-cos Networks: Alignment is All We Need for Interpretability

Moritz Böhle; Mario Fritz; Bernt Schiele

B-cos Networks: Alignment is All We Need for Interpretability Proceedings Article

In: Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

Links | BibTeX | Tags:

@inproceedings{boehle22cvpr,
title = {B-cos Networks: Alignment is All We Need for Interpretability},
author = {Moritz Böhle and Mario Fritz and Bernt Schiele},
url = {https://openaccess.thecvf.com/content/CVPR2022/papers/Bohle_B-Cos_Networks_Alignment_Is_All_We_Need_for_Interpretability_CVPR_2022_paper.pdf
https://github.com/moboehle/B-cos},
year = {2022},
date = {2022-06-19},
urldate = {2022-06-19},
booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://openaccess.thecvf.com/content/CVPR2022/papers/Bohle_B-Cos_Networks_Align[...]
  • https://github.com/moboehle/B-cos

Close

Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources

Sahar Abdelnabi; Rakibul Hasan; Mario Fritz

Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources Proceedings Article

In: Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

Links | BibTeX | Tags:

@inproceedings{abdelnabi22cvpr,
title = {Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources},
author = {Sahar Abdelnabi and Rakibul Hasan and Mario Fritz},
url = {https://arxiv.org/abs/2112.00061
https://arxiv.org/pdf/2112.00061.pdf},
year = {2022},
date = {2022-06-19},
urldate = {2022-06-19},
booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/2112.00061
  • https://arxiv.org/pdf/2112.00061.pdf

Close

Responsible Disclosure of Generative Models Using Scalable Fingerprinting

Ning Yu; Vladislav Skripniuk; Dingfan Chen; Larry S. Davi; Mario Fritz

Responsible Disclosure of Generative Models Using Scalable Fingerprinting Proceedings Article

In: International Conference on Representation Learning (ICLR), 2022.

Links | BibTeX | Tags:

@inproceedings{yu22iclr,
title = {Responsible Disclosure of Generative Models Using Scalable Fingerprinting},
author = {Ning Yu and Vladislav Skripniuk and Dingfan Chen and Larry S. Davi and Mario Fritz},
url = {https://arxiv.org/abs/2012.08726
https://arxiv.org/pdf/2012.08726.pdf},
year = {2022},
date = {2022-04-25},
urldate = {2022-04-25},
booktitle = {International Conference on Representation Learning (ICLR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/2012.08726
  • https://arxiv.org/pdf/2012.08726.pdf

Close

RelaxLoss: Defending Membership Inference Attacks without Losing Utility

Dingfan Chen; Ning Yu; Mario Fritz

RelaxLoss: Defending Membership Inference Attacks without Losing Utility Proceedings Article

In: International Conference on Representation Learning (ICLR), 2022.

BibTeX | Tags:

@inproceedings{chen22iclr,
title = {RelaxLoss: Defending Membership Inference Attacks without Losing Utility},
author = {Dingfan Chen and Ning Yu and Mario Fritz},
year = {2022},
date = {2022-04-25},
urldate = {2022-04-25},
booktitle = {International Conference on Representation Learning (ICLR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data

Shadi Rahimian; Raouf Kerkouche; Ina Kurth; Mario Fritz

Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data Proceedings Article

In: Conference on Health, Inference, and Learning (CHIL), 2022.

Links | BibTeX | Tags:

@inproceedings{Rahimian22chil,
title = {Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data},
author = {Shadi Rahimian and Raouf Kerkouche and Ina Kurth and Mario Fritz},
url = {https://arxiv.org/abs/2202.03758
https://arxiv.org/pdf/2202.03758.pdf
},
year = {2022},
date = {2022-04-07},
urldate = {2022-04-07},
booktitle = {Conference on Health, Inference, and Learning (CHIL)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/2202.03758
  • https://arxiv.org/pdf/2202.03758.pdf

Close

2021

Journal Articles

Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations

Max Losch; Mario Fritz; Bernt Schiele

Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations Journal Article

In: International Journal of Computer Vision (IJCV), 2021.

Links | BibTeX | Tags: 2021

@article{losch21ijcv,
title = {Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations},
author = {Max Losch and Mario Fritz and Bernt Schiele},
url = {https://link.springer.com/content/pdf/10.1007/s11263-021-01498-0.pdf},
year = {2021},
date = {2021-09-14},
journal = {International Journal of Computer Vision (IJCV)},
keywords = {2021},
pubstate = {published},
tppubtype = {article}
}

Close

  • https://link.springer.com/content/pdf/10.1007/s11263-021-01498-0.pdf

Close

Privacy considerations for sharing genomics data

Marie Oestreich; Dingfan Chen; Joachim L. Schultze; Mario Fritz; Matthias Becker

Privacy considerations for sharing genomics data Journal Article

In: EXCLI Journal, 2021.

Links | BibTeX | Tags: 2021

@article{oestreich21excli,
title = {Privacy considerations for sharing genomics data},
author = {Marie Oestreich and Dingfan Chen and Joachim L. Schultze and Mario Fritz and Matthias Becker},
url = {https://www.excli.de/index.php/excli/article/view/4002
https://www.excli.de/index.php/excli/article/view/4002/3892},
year = {2021},
date = {2021-07-16},
journal = {EXCLI Journal},
keywords = {2021},
pubstate = {published},
tppubtype = {article}
}

Close

  • https://www.excli.de/index.php/excli/article/view/4002
  • https://www.excli.de/index.php/excli/article/view/4002/3892

Close

Proceedings Articles

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data

Ning Yu; Vladislav Skripniuk; Sahar Abdelnabi; Mario Fritz

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data Proceedings Article

In: International Conference on Computer Vision (ICCV), 2021.

Links | BibTeX | Tags: 2021

@inproceedings{ning21iccv1,
title = {Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data},
author = {Ning Yu and Vladislav Skripniuk and Sahar Abdelnabi and Mario Fritz},
url = {preliminary version:
https://arxiv.org/abs/2007.08457
https://arxiv.org/pdf/2007.08457.pdf},
year = {2021},
date = {2021-10-12},
booktitle = {International Conference on Computer Vision (ICCV)},
keywords = {2021},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • preliminary version:
  • https://arxiv.org/abs/2007.08457
  • https://arxiv.org/pdf/2007.08457.pdf

Close

Dual Contrastive Loss and Attention for GANs

Ning Yu; Guilin Liu; Aysegul Dundar; Andrew Tao; Bryan Catanzaro; Larry Davis; Mario Fritz

Dual Contrastive Loss and Attention for GANs Proceedings Article

In: International Conference on Computer Vision (ICCV), 2021.

Links | BibTeX | Tags: 2021

@inproceedings{ning21iccv2,
title = {Dual Contrastive Loss and Attention for GANs},
author = {Ning Yu and Guilin Liu and Aysegul Dundar and Andrew Tao and Bryan Catanzaro and Larry Davis and Mario Fritz },
url = {preliminary version:
https://arxiv.org/abs/2103.16748
https://arxiv.org/pdf/2103.16748.pdf},
year = {2021},
date = {2021-10-11},
booktitle = {International Conference on Computer Vision (ICCV)},
keywords = {2021},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • preliminary version:
  • https://arxiv.org/abs/2103.16748
  • https://arxiv.org/pdf/2103.16748.pdf

Close

Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis

Yang He; Ning Yu; Margret Keuper; Mario Fritz

Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis Proceedings Article

In: 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021.

Links | BibTeX | Tags: 2021

@inproceedings{he21ijcai,
title = {Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis},
author = {Yang He and Ning Yu and Margret Keuper and Mario Fritz},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2021/05/ijcai21.pdf},
year = {2021},
date = {2021-08-21},
booktitle = {30th International Joint Conference on Artificial Intelligence (IJCAI)},
keywords = {2021},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2021/05/ijcai21[...]

Close

Convolutional Dynamic Alignment Networks for Interpretable Classifications

Moritz Bohle, Mario Fritz, Bernt Schiele

Convolutional Dynamic Alignment Networks for Interpretable Classifications Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

Links | BibTeX | Tags: 2021

@inproceedings{moritz21cvpr,
title = {Convolutional Dynamic Alignment Networks for Interpretable Classifications},
author = {Moritz Bohle, Mario Fritz, Bernt Schiele},
url = {https://openaccess.thecvf.com/content/CVPR2021/papers/Bohle_Convolutional_Dynamic_Alignment_Networks_for_Interpretable_Classifications_CVPR_2021_paper.pdf},
year = {2021},
date = {2021-06-22},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2021},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://openaccess.thecvf.com/content/CVPR2021/papers/Bohle_Convolutional_Dynami[...]

Close

Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers

Apratim Bhattacharyya; Daniel Olmeda Reino; Mario Fritz; Bernt Schiele

Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

Links | BibTeX | Tags: 2021

@inproceedings{apratim21cvpr,
title = {Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers},
author = {Apratim Bhattacharyya and Daniel Olmeda Reino and Mario Fritz and Bernt Schiele},
url = {https://openaccess.thecvf.com/content/CVPR2021/papers/Bhattacharyya_Euro-PVI_Pedestrian_Vehicle_Interactions_in_Dense_Urban_Centers_CVPR_2021_paper.pdf
https://www.mpi-inf.mpg.de/departments/computer-vision-and-machine-learning/research/euro-pvi-dataset},
year = {2021},
date = {2021-06-21},
urldate = {2021-06-21},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2021},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://openaccess.thecvf.com/content/CVPR2021/papers/Bhattacharyya_Euro-PVI_Ped[...]
  • https://www.mpi-inf.mpg.de/departments/computer-vision-and-machine-learning/rese[...]

Close

Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs

Hui-Po Wang; Ning Yu; Mario Fritz

Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

Links | BibTeX | Tags: 2021

@inproceedings{wang21cvpr,
title = {Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs},
author = {Hui-Po Wang and Ning Yu and Mario Fritz},
url = {https://arxiv.org/abs/2011.14107
https://arxiv.org/pdf/2011.14107.pdf},
year = {2021},
date = {2021-06-19},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2021},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/2011.14107
  • https://arxiv.org/pdf/2011.14107.pdf

Close

Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding

Sahar Abdelnabi; Mario Fritz

Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding Proceedings Article

In: IEEE Symposium on Security and Privacy (S&P), 2021.

Links | BibTeX | Tags: 2021

@inproceedings{abdelnabi21oakland,
title = {Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding},
author = {Sahar Abdelnabi and Mario Fritz},
url = {https://arxiv.org/abs/2009.03015
https://arxiv.org/pdf/2009.03015.pdf
https://github.com/S-Abdelnabi/awt
short video: https://www.youtube.com/watch?v=_Wc2OLVfD7Q
long video: https://www.youtube.com/watch?v=3wvgds9bYg4},
year = {2021},
date = {2021-05-21},
booktitle = {IEEE Symposium on Security and Privacy (S&P)},
keywords = {2021},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/2009.03015
  • https://arxiv.org/pdf/2009.03015.pdf
  • https://github.com/S-Abdelnabi/awt
  • short video: https://www.youtube.com/watch?v=_Wc2OLVfD7Q
  • long video: https://www.youtube.com/watch?v=3wvgds9bYg4

Close

Future Moment Assessment for Action Query

Qiuhong Ke; Mario Fritz; Bernt Schiele

Future Moment Assessment for Action Query Proceedings Article

In: IEEE Winter Conference on Applications of Computer Vision (WACV ’20), 2021.

Links | BibTeX | Tags: 2021

@inproceedings{wacv21ke,
title = {Future Moment Assessment for Action Query},
author = {Qiuhong Ke and Mario Fritz and Bernt Schiele},
url = {https://openaccess.thecvf.com/content/WACV2021/html/Ke_Future_Moment_Assessment_for_Action_Query_WACV_2021_paper.html
https://openaccess.thecvf.com/content/WACV2021/papers/Ke_Future_Moment_Assessment_for_Action_Query_WACV_2021_paper.pdf},
year = {2021},
date = {2021-01-05},
booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV ’20)},
keywords = {2021},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://openaccess.thecvf.com/content/WACV2021/html/Ke_Future_Moment_Assessment_[...]
  • https://openaccess.thecvf.com/content/WACV2021/papers/Ke_Future_Moment_Assessmen[...]

Close

Technical Reports

Backdoor Attacks on Network Certification via Data Poisoning

Tobias Lorenz; Marta Kwiatkowska; Mario Fritz

Backdoor Attacks on Network Certification via Data Poisoning Technical Report

arXiv:2108.11299, 2021.

Links | BibTeX | Tags: 2021

@techreport{lorenz21arxiv,
title = {Backdoor Attacks on Network Certification via Data Poisoning},
author = {Tobias Lorenz and Marta Kwiatkowska and Mario Fritz},
url = {https://arxiv.org/abs/2108.11299
https://arxiv.org/pdf/2108.11299.pdf},
year = {2021},
date = {2021-08-25},
type = {arXiv:2108.11299},
keywords = {2021},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/2108.11299
  • https://arxiv.org/pdf/2108.11299.pdf

Close

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models

Yugeng Liu; Rui Wen; Xinlei He; Ahmed Salem; Zhikun Zhang; Michael Backes; Emiliano De Cristofaro; Mario Fritz; Yang Zhang

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models Technical Report

arXiv:2102.02551, 2021.

Links | BibTeX | Tags: 2021

@techreport{liu21arxiv,
title = {ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models},
author = {Yugeng Liu and Rui Wen and Xinlei He and Ahmed Salem and Zhikun Zhang and Michael Backes and Emiliano De Cristofaro and Mario Fritz and Yang Zhang},
url = {https://arxiv.org/abs/2102.02551
https://arxiv.org/pdf/2102.02551.pdf},
year = {2021},
date = {2021-02-09},
type = {arXiv:2102.02551},
keywords = {2021},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/2102.02551
  • https://arxiv.org/pdf/2102.02551.pdf

Close

Workshops

"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models

Sahar Abdelnabi; Mario Fritz

"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models Workshop

Moving Target Defense Workshop in conjuncture with CCS, 2021.

Links | BibTeX | Tags: 2021

@workshop{abdelnabi21ccsw,
title = {"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models},
author = {Sahar Abdelnabi and Mario Fritz},
url = {https://arxiv.org/abs/2102.05104
https://arxiv.org/pdf/2102.05104.pdf},
year = {2021},
date = {2021-11-15},
booktitle = {Moving Target Defense Workshop in conjuncture with CCS},
keywords = {2021},
pubstate = {published},
tppubtype = {workshop}
}

Close

  • https://arxiv.org/abs/2102.05104
  • https://arxiv.org/pdf/2102.05104.pdf

Close

SampleFix: Learning to Generate Functionally Diverse Fixes

Hossein Hajipour; Apratim Bhattacharyya; Cristian-Alexandru Staicu; Mario Fritz

SampleFix: Learning to Generate Functionally Diverse Fixes Workshop

1st International Workshop on Machine Learning in Software Engineering in conjuncture with ECML PKDD, Springer, 2021.

Links | BibTeX | Tags: 2021

@workshop{hajipour20pkddw,
title = {SampleFix: Learning to Generate Functionally Diverse Fixes},
author = {Hossein Hajipour and Apratim Bhattacharyya and Cristian-Alexandru Staicu and Mario Fritz},
url = {https://arxiv.org/abs/1906.10502
https://arxiv.org/pdf/1906.10502.pdf},
year = {2021},
date = {2021-09-17},
booktitle = {1st International Workshop on Machine Learning in Software Engineering in conjuncture with ECML PKDD},
publisher = {Springer},
keywords = {2021},
pubstate = {published},
tppubtype = {workshop}
}

Close

  • https://arxiv.org/abs/1906.10502
  • https://arxiv.org/pdf/1906.10502.pdf

Close

IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis

Hossein Hajipour; Mateusz Malinowski; Mario Fritz

IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis Workshop

1st International Workshop on Machine Learning in Software Engineering in conjuncture with ECML PKDD, Springer, 2021.

Links | BibTeX | Tags: 2021

@workshop{hajipour21pkddw,
title = {IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis},
author = {Hossein Hajipour and Mateusz Malinowski and Mario Fritz},
url = {https://arxiv.org/abs/2006.10720
https://arxiv.org/pdf/2006.10720.pdf},
year = {2021},
date = {2021-09-17},
booktitle = {1st International Workshop on Machine Learning in Software Engineering in conjuncture with ECML PKDD},
publisher = {Springer},
keywords = {2021},
pubstate = {published},
tppubtype = {workshop}
}

Close

  • https://arxiv.org/abs/2006.10720
  • https://arxiv.org/pdf/2006.10720.pdf

Close

InfoScrub: Towards Attribute Privacy by Targeted Obfuscation

Hui-Po Wang; Tribhuvanesh Orekondy; Mario Fritz

InfoScrub: Towards Attribute Privacy by Targeted Obfuscation Workshop

CVPR Workshop on Fair, Data-Efficient, and Trusted Computer Vision (TCV), 2021.

Links | BibTeX | Tags: 2021

@workshop{wang21cvprs,
title = {InfoScrub: Towards Attribute Privacy by Targeted Obfuscation},
author = {Hui-Po Wang and Tribhuvanesh Orekondy and Mario Fritz},
url = {https://arxiv.org/abs/2005.10329
https://arxiv.org/pdf/2005.10329.pdf},
year = {2021},
date = {2021-06-21},
booktitle = {CVPR Workshop on Fair, Data-Efficient, and Trusted Computer Vision (TCV)},
keywords = {2021},
pubstate = {published},
tppubtype = {workshop}
}

Close

  • https://arxiv.org/abs/2005.10329
  • https://arxiv.org/pdf/2005.10329.pdf

Close

MLCapsule: Guarded Offline Deployment of Machine Learning as a Service

Lucjan Hanzlik; Yang Zhang; Kathrin Grosse; Ahmed Salem; Max Augustin; Michael Backes; Mario Fritz

MLCapsule: Guarded Offline Deployment of Machine Learning as a Service Workshop

CVPR Workshop on Fair, Data-Efficient, and Trusted Computer Vision (TCV), 2021.

Links | BibTeX | Tags: 2021

@workshop{hanzlik21cvprw,
title = {MLCapsule: Guarded Offline Deployment of Machine Learning as a Service},
author = {Lucjan Hanzlik and Yang Zhang and Kathrin Grosse and Ahmed Salem and Max Augustin and Michael Backes and Mario Fritz},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2021/06/mlcapsul_TCV_CR-4.pdf},
year = {2021},
date = {2021-06-20},
booktitle = {CVPR Workshop on Fair, Data-Efficient, and Trusted Computer Vision (TCV)},
keywords = {2021},
pubstate = {published},
tppubtype = {workshop}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2021/06/mlcapsu[...]

Close

2020

Journal Articles

 Person Recognition in Personal Photo Collections

Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele

Person Recognition in Personal Photo Collections Journal Article

In: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.

Links | BibTeX | Tags: 2020

@article{oh20tpami,
title = { Person Recognition in Personal Photo Collections },
author = {Seong Joon Oh and Rodrigo Benenson and Mario Fritz and Bernt Schiele},
url = {https://ieeexplore.ieee.org/document/8519337?source=authoralert},
year = {2020},
date = {2020-01-01},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
keywords = {2020},
pubstate = {published},
tppubtype = {article}
}

Close

  • https://ieeexplore.ieee.org/document/8519337?source=authoralert

Close

Deep Gaze Pooling: Inferring and Visually Decoding Search Intents From Human Gaze Fixations

Hosnieh Sattar; Mario Fritz; Andreas Bulling

Deep Gaze Pooling: Inferring and Visually Decoding Search Intents From Human Gaze Fixations Journal Article

In: Neurocomputing, vol. 387, pp. 369–382, 2020.

Links | BibTeX | Tags: 2020

@article{sattar20_neurocomp,
title = {Deep Gaze Pooling: Inferring and Visually Decoding Search Intents From Human Gaze Fixations},
author = {Hosnieh Sattar and Mario Fritz and Andreas Bulling},
url = {https://www.perceptualui.org/publications/sattar20_neurocomp.pdf},
doi = {10.1016/j.neucom.2020.01.028},
year = {2020},
date = {2020-01-01},
journal = {Neurocomputing},
volume = {387},
pages = {369–382},
keywords = {2020},
pubstate = {published},
tppubtype = {article}
}

Close

  • https://www.perceptualui.org/publications/sattar20_neurocomp.pdf
  • doi:10.1016/j.neucom.2020.01.028

Close

Proceedings Articles

GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators

Dingfan Chen; Tribhuvanesh Orekondy; Mario Fritz

GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators Proceedings Article

In: Neural Information Processing Systems (NeurIPS), 2020.

Links | BibTeX | Tags: 2020

@inproceedings{neurips20chen,
title = {GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators},
author = {Dingfan Chen and Tribhuvanesh Orekondy and Mario Fritz},
url = {https://arxiv.org/abs/2006.08265
https://arxiv.org/pdf/2006.08265.pdf},
year = {2020},
date = {2020-12-06},
booktitle = {Neural Information Processing Systems (NeurIPS)},
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/2006.08265
  • https://arxiv.org/pdf/2006.08265.pdf

Close

GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs

Dingfan Chen; Ning Yu; Yang Zhang; Mario Fritz

GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs Proceedings Article

In: ACM Conference on Computer and Communications Security (CCS) , 2020.

Links | BibTeX | Tags: 2020

@inproceedings{chen20ccs,
title = {GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs},
author = {Dingfan Chen and Ning Yu and Yang Zhang and Mario Fritz},
url = {https://arxiv.org/abs/1909.03935
https://arxiv.org/pdf/1909.03935.pdf},
year = {2020},
date = {2020-11-09},
booktitle = {ACM Conference on Computer and Communications Security (CCS) },
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/1909.03935
  • https://arxiv.org/pdf/1909.03935.pdf

Close

VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity

Sahar Abdelnabi; Katharina Krombholz; Mario Fritz

VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity Proceedings Article

In: ACM Conference on Computer and Communications Security (CCS) , 2020.

Links | BibTeX | Tags: 2020

@inproceedings{abdelnabi20ccs,
title = {VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity},
author = {Sahar Abdelnabi and Katharina Krombholz and Mario Fritz},
url = {https://arxiv.org/abs/1909.00300
https://arxiv.org/pdf/1909.00300.pdf},
year = {2020},
date = {2020-11-09},
booktitle = {ACM Conference on Computer and Communications Security (CCS) },
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/1909.00300
  • https://arxiv.org/pdf/1909.00300.pdf

Close

Haar Wavelet based Block Autoregressive Flows for Trajectories

Apratim Bhattacharyya; Christoph-Nikolas Straehle; Mario Fritz; Bernt Schiele

Haar Wavelet based Block Autoregressive Flows for Trajectories Proceedings Article

In: German Conference on Pattern Recognition (GCPR), 2020.

Links | BibTeX | Tags: 2020

@inproceedings{gcpr20bhattacharyya,
title = {Haar Wavelet based Block Autoregressive Flows for Trajectories},
author = {Apratim Bhattacharyya and Christoph-Nikolas Straehle and Mario Fritz and Bernt Schiele},
url = {https://unitc-my.sharepoint.com/personal/iigaf01_cloud_uni-tuebingen_de/Documents/gcpr_vmv_vcbm/gcpr/preprints/Apratim_Bhattacharyy_gcpr_0067_v01.pdf?originalPath=aHR0cHM6Ly91bml0Yy1teS5zaGFyZXBvaW50LmNvbS86YjovZy9wZXJzb25hbC9paWdhZjAxX2Nsb3VkX3VuaS10dWViaW5nZW5fZGUvRVpsOHdqUWRjdXhBa2VpTEo3NmNET3dCd2FQZjZpY2xUSTUxNkJ6VjdmbUV1dz9ydGltZT03YzZyZUgxbzJFZw
https://arxiv.org/abs/2009.09878
https://arxiv.org/pdf/2009.09878.pdf},
year = {2020},
date = {2020-09-30},
booktitle = {German Conference on Pattern Recognition (GCPR)},
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://unitc-my.sharepoint.com/personal/iigaf01_cloud_uni-tuebingen_de/Document[...]
  • https://arxiv.org/abs/2009.09878
  • https://arxiv.org/pdf/2009.09878.pdf

Close

Long-Tailed Recognition Using Class-Balanced Experts

Saurabh Sharma; Ning Yu; Mario Fritz; Bernt Schiele

Long-Tailed Recognition Using Class-Balanced Experts Proceedings Article

In: German Conference on Pattern Recognition (GCPR), 2020.

Links | BibTeX | Tags: 2020

@inproceedings{gcpr20sharma,
title = {Long-Tailed Recognition Using Class-Balanced Experts},
author = {Saurabh Sharma and Ning Yu and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/2004.03706
https://arxiv.org/pdf/2004.03706.pdf},
year = {2020},
date = {2020-09-29},
booktitle = {German Conference on Pattern Recognition (GCPR)},
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/2004.03706
  • https://arxiv.org/pdf/2004.03706.pdf

Close

Semantic Bottlenecks: Quantifying & Improving Inspectability of Deep Representations

Max Losch; Mario Fritz; Bernt Schiele

Semantic Bottlenecks: Quantifying & Improving Inspectability of Deep Representations Proceedings Article

In: German Conference on Patter Recognition (GCPR), 2020.

Links | BibTeX | Tags: 2020

@inproceedings{gcpr20losch,
title = {Semantic Bottlenecks: Quantifying & Improving Inspectability of Deep Representations},
author = {Max Losch and Mario Fritz and Bernt Schiele},
url = {https://unitc-my.sharepoint.com/personal/iigaf01_cloud_uni-tuebingen_de/Documents/gcpr_vmv_vcbm/gcpr/preprints/gcpr_0028_v01.pdf?originalPath=aHR0cHM6Ly91bml0Yy1teS5zaGFyZXBvaW50LmNvbS86YjovZy9wZXJzb25hbC9paWdhZjAxX2Nsb3VkX3VuaS10dWViaW5nZW5fZGUvRVhYM0ZsVEczS2RGaDZ3aDc4T1FBQWNCSGE5VmJwNWFFeDFZUURiSmZER21rdz9ydGltZT1WR052OUgxbzJFZw},
year = {2020},
date = {2020-09-29},
booktitle = {German Conference on Patter Recognition (GCPR)},
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://unitc-my.sharepoint.com/personal/iigaf01_cloud_uni-tuebingen_de/Document[...]

Close

Towards Automated Testing and Robustification by Semantic Adversarial Data Generation

Rakshith Shetty; Mario Fritz; Bernt Schiele

Towards Automated Testing and Robustification by Semantic Adversarial Data Generation Proceedings Article

In: European Conference on Computer Vision (ECCV), 2020.

Links | BibTeX | Tags: 2020

@inproceedings{shetty20eccv,
title = {Towards Automated Testing and Robustification by Semantic Adversarial Data Generation},
author = {Rakshith Shetty and Mario Fritz and Bernt Schiele},
url = {https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123470477.pdf},
year = {2020},
date = {2020-08-23},
booktitle = {European Conference on Computer Vision (ECCV)},
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123470477.pdf

Close

Inclusive GAN: Improving Data and Minority Coverage in Generative Models

Ning Yu; Ke Li; Peng Zhou; Jitendra Malik; Larry S. Davis; Mario Fritz

Inclusive GAN: Improving Data and Minority Coverage in Generative Models Proceedings Article

In: European Conference on Computer Vision (ECCV), 2020.

Links | BibTeX | Tags: 2020

@inproceedings{yu20eccv,
title = {Inclusive GAN: Improving Data and Minority Coverage in Generative Models},
author = {Ning Yu and Ke Li and Peng Zhou and Jitendra Malik and Larry S. Davis and Mario Fritz},
url = {https://arxiv.org/abs/2004.03355
https://arxiv.org/pdf/2004.03355.pdf},
year = {2020},
date = {2020-08-23},
booktitle = {European Conference on Computer Vision (ECCV)},
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/2004.03355
  • https://arxiv.org/pdf/2004.03355.pdf

Close

Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation

Yang He; Shadi Rahimian; Bernt Schiele; Mario Fritz

Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation Proceedings Article

In: European Conference on Computer Vision (ECCV), 2020.

Links | BibTeX | Tags: 2020

@inproceedings{he20eccv,
title = {Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation},
author = {Yang He and Shadi Rahimian and Bernt Schiele and Mario Fritz},
url = {https://github.com/SSAW14/segmentation_membership_inference
https://arxiv.org/abs/1912.09685
https://arxiv.org/pdf/1912.09685.pdf},
year = {2020},
date = {2020-08-23},
booktitle = {European Conference on Computer Vision (ECCV)},
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://github.com/SSAW14/segmentation_membership_inference
  • https://arxiv.org/abs/1912.09685
  • https://arxiv.org/pdf/1912.09685.pdf

Close

Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning

Ahmed Salem; Apratim Bhattacharyya; Michael Backes; Mario Fritz; Yang Zhang

Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning Proceedings Article

In: USENIX Security Symposium (USENIX Security 20), 2020.

Links | BibTeX | Tags: 2020

@inproceedings{salem20usenix,
title = {Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning},
author = {Ahmed Salem and Apratim Bhattacharyya and Michael Backes and Mario Fritz and Yang Zhang},
url = {preliminary version:
https://arxiv.org/abs/1904.01067
https://arxiv.org/pdf/1904.01067.pdf},
year = {2020},
date = {2020-08-12},
booktitle = {USENIX Security Symposium (USENIX Security 20)},
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • preliminary version:
  • https://arxiv.org/abs/1904.01067
  • https://arxiv.org/pdf/1904.01067.pdf

Close

Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing

Vedika Agarwal; Rakshith Shetty; Mario Fritz

Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition, 2020.

Links | BibTeX | Tags: 2020

@inproceedings{agarwal20cvpr,
title = {Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing},
author = {Vedika Agarwal and Rakshith Shetty and Mario Fritz
},
url = {preliminary version:
https://arxiv.org/abs/1912.07538
https://arxiv.org/pdf/1912.07538.pdf
https://rakshithshetty.github.io/CausalVQA/},
year = {2020},
date = {2020-06-15},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • preliminary version:
  • https://arxiv.org/abs/1912.07538
  • https://arxiv.org/pdf/1912.07538.pdf
  • https://rakshithshetty.github.io/CausalVQA/

Close

Normalizing Flows with Multi-scale Autoregressive Priors

Apratim Bhattacharyya; Shweta Mahajan; Mario Fritz; Bernt Schiele; Stefan Roth

Normalizing Flows with Multi-scale Autoregressive Priors Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition, 2020.

Links | BibTeX | Tags: 2020

@inproceedings{apratim20cvpr,
title = {Normalizing Flows with Multi-scale Autoregressive Priors},
author = {Apratim Bhattacharyya and Shweta Mahajan and Mario Fritz and Bernt Schiele and Stefan Roth},
url = {https://arxiv.org/abs/2004.03891
https://arxiv.org/pdf/2004.03891.pdf
https://github.com/visinf/mar-scf},
year = {2020},
date = {2020-06-14},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/2004.03891
  • https://arxiv.org/pdf/2004.03891.pdf
  • https://github.com/visinf/mar-scf

Close

Automatically Detecting Bystanders in Photos to Reduce Privacy Risks

Rakibul Hasan; David Crandall; Mario Fritz; Apu Kapadia

Automatically Detecting Bystanders in Photos to Reduce Privacy Risks Proceedings Article

In: IEEE Symposium on Security and Privacy (S&P), 2020.

Links | BibTeX | Tags: 2020

@inproceedings{hasan20sp,
title = {Automatically Detecting Bystanders in Photos to Reduce Privacy Risks},
author = {Rakibul Hasan and David Crandall and Mario Fritz and Apu Kapadia},
url = {https://homes.luddy.indiana.edu/kapadia/papers/hasan-oakland-20-preprint.pdf
https://www.youtube.com/watch?v=TDupeMj0bXg
https://www.youtube.com/watch?v=uwKM_S8RpTQ
},
year = {2020},
date = {2020-05-18},
booktitle = {IEEE Symposium on Security and Privacy (S&P)},
keywords = {2020},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://homes.luddy.indiana.edu/kapadia/papers/hasan-oakland-20-preprint.pdf
  • https://www.youtube.com/watch?v=TDupeMj0bXg
  • https://www.youtube.com/watch?v=uwKM_S8RpTQ

Close

Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks

Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz

Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks Proceedings Article

In: International Conference on Representation Learning (ICLR), 2020.

Links | BibTeX | Tags: 2019

@inproceedings{orekondy20iclr,
title = {Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks},
author = {Tribhuvanesh Orekondy and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/1906.10908
https://arxiv.org/pdf/1906.10908.pdf},
year = {2020},
date = {2020-04-30},
urldate = {2020-04-30},
booktitle = {International Conference on Representation Learning (ICLR)},
type = {arXiv:1906.10908 },
keywords = {2019},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/1906.10908
  • https://arxiv.org/pdf/1906.10908.pdf

Close

Technical Reports

CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning

Yang He; Maximilian Zenk; Mario Fritz

CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning Technical Report

arXiv:2012.08241 , 2020.

Links | BibTeX | Tags: 2020

@techreport{yang20arxiv,
title = {CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning},
author = {Yang He and Maximilian Zenk and Mario Fritz},
url = {https://arxiv.org/abs/2012.08241
https://arxiv.org/pdf/2012.08241.pdf},
year = {2020},
date = {2020-12-15},
type = {arXiv:2012.08241 },
keywords = {2020},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/2012.08241
  • https://arxiv.org/pdf/2012.08241.pdf

Close

Responsible Disclosure of Generative Models Using Scalable Fingerprinting

Ning Yu; Vladislav Skripniuk; Dingfan Chen; Larry Davis; Mario Fritz

Responsible Disclosure of Generative Models Using Scalable Fingerprinting Technical Report

arXiv:2012.08726 , 2020.

Links | BibTeX | Tags: 2020

@techreport{yu20arxiv,
title = {Responsible Disclosure of Generative Models Using Scalable Fingerprinting},
author = {Ning Yu and Vladislav Skripniuk and Dingfan Chen and Larry Davis and Mario Fritz},
url = {https://arxiv.org/abs/2012.08726
https://arxiv.org/pdf/2012.08726.pdf},
year = {2020},
date = {2020-12-15},
type = {arXiv:2012.08726 },
keywords = {2020},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/2012.08726
  • https://arxiv.org/pdf/2012.08726.pdf

Close

Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs

Hui-Po Wang; Ning Yu; Mario Fritz

Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs Technical Report

arXiv:2011.14107 , 2020.

Links | BibTeX | Tags: 2020

@techreport{po20arxiv,
title = {Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs},
author = {Hui-Po Wang and Ning Yu and Mario Fritz},
url = {https://arxiv.org/abs/2011.14107
https://arxiv.org/pdf/2011.14107.pdf},
year = {2020},
date = {2020-11-28},
type = {arXiv:2011.14107 },
keywords = {2020},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/2011.14107
  • https://arxiv.org/pdf/2011.14107.pdf

Close

Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding

Sahar Abdelnabi; Mario Fritz

Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding Technical Report

arXiv:2009.03015 [cs.CR], 2020.

Links | BibTeX | Tags: 2020

@techreport{abdelnabi20arxiv,
title = {Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding},
author = {Sahar Abdelnabi and Mario Fritz},
url = {https://arxiv.org/abs/2009.03015
https://arxiv.org/pdf/2009.03015.pdf},
year = {2020},
date = {2020-09-07},
type = {arXiv:2009.03015 [cs.CR]},
keywords = {2020},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/2009.03015
  • https://arxiv.org/pdf/2009.03015.pdf

Close

Black-Box Watermarking for Generative Adversarial Networks

Vladislav Skripniuk; Ning Yu; Sahar Abdelnabi; Mario Fritz

Black-Box Watermarking for Generative Adversarial Networks Technical Report

arXiv:2007.08457, 2020.

Links | BibTeX | Tags: 2020

@techreport{arxiv20skripniuk,
title = {Black-Box Watermarking for Generative Adversarial Networks},
author = {Vladislav Skripniuk and Ning Yu and Sahar Abdelnabi and Mario Fritz},
url = {https://arxiv.org/abs/2007.08457
https://arxiv.org/pdf/2007.08457.pdf},
year = {2020},
date = {2020-07-17},
type = {arXiv:2007.08457},
keywords = {2020},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/2007.08457
  • https://arxiv.org/pdf/2007.08457.pdf

Close

IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis

Hossein Hajipour; Mateusz Malinowski; Mario Fritz

IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis Technical Report

arXiv:2006.10720, 2020.

Links | BibTeX | Tags: 2020

@techreport{hajipour20arxiv,
title = {IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis},
author = {Hossein Hajipour and Mateusz Malinowski and Mario Fritz},
url = {https://arxiv.org/abs/2006.10720
https://arxiv.org/pdf/2006.10720.pdf},
year = {2020},
date = {2020-06-18},
type = {arXiv:2006.10720},
keywords = {2020},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/2006.10720
  • https://arxiv.org/pdf/2006.10720.pdf

Close

GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators

Dingfan Chen; Tribhuvanesh Orekondy; Mario Fritz

GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators Technical Report

arXiv:2006.08265 , 2020.

Links | BibTeX | Tags: 2020

@techreport{chen20arxiv,
title = {GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators},
author = {Dingfan Chen and Tribhuvanesh Orekondy and Mario Fritz},
url = {https://arxiv.org/abs/2006.08265
https://arxiv.org/pdf/2006.08265.pdf},
year = {2020},
date = {2020-06-16},
type = {arXiv:2006.08265 },
keywords = {2020},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/2006.08265
  • https://arxiv.org/pdf/2006.08265.pdf

Close

InfoScrub: Towards Attribute Privacy by Targeted Obfuscation

Hui-Po Wang; Tribhuvanesh Orekondy; Mario Fritz

InfoScrub: Towards Attribute Privacy by Targeted Obfuscation Technical Report

arXiv:2005.10329 , 2020.

Links | BibTeX | Tags: 2019

@techreport{wang20arxiv,
title = {InfoScrub: Towards Attribute Privacy by Targeted Obfuscation},
author = {Hui-Po Wang and Tribhuvanesh Orekondy and Mario Fritz},
url = {https://arxiv.org/abs/2005.10329
https://arxiv.org/pdf/2005.10329.pdf
},
year = {2020},
date = {2020-05-20},
type = {arXiv:2005.10329 },
keywords = {2019},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/2005.10329
  • https://arxiv.org/pdf/2005.10329.pdf

Close

 Inclusive GAN: Improving Data and Minority Coverage in Generative Models

Ning Yu; Ke Li; Peng Zhou; Jitendra Malik; Larry Davis; Mario Fritz

Inclusive GAN: Improving Data and Minority Coverage in Generative Models Technical Report

2020.

Links | BibTeX | Tags: 2020

@techreport{ning20arxiv,
title = { Inclusive GAN: Improving Data and Minority Coverage in Generative Models },
author = {Ning Yu and Ke Li and Peng Zhou and Jitendra Malik and Larry Davis and Mario Fritz},
url = {https://arxiv.org/abs/2004.03355
https://arxiv.org/pdf/2004.03355.pdf},
year = {2020},
date = {2020-04-07},
keywords = {2020},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/2004.03355
  • https://arxiv.org/pdf/2004.03355.pdf

Close

Long-Tailed Recognition Using Class-Balanced Experts

Saurabh Sharma; Ning Yu; Mario Fritz; Bernt Schiele

Long-Tailed Recognition Using Class-Balanced Experts Technical Report

arXiv:2004.03706 , 2020.

Links | BibTeX | Tags: 2020

@techreport{sharma20arxiv,
title = {Long-Tailed Recognition Using Class-Balanced Experts},
author = {Saurabh Sharma and Ning Yu and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/2004.03706
https://arxiv.org/pdf/2004.03706.pdf},
year = {2020},
date = {2020-04-07},
type = {arXiv:2004.03706 },
keywords = {2020},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/2004.03706
  • https://arxiv.org/pdf/2004.03706.pdf

Close

Workshops

SampleFix: Learning to Correct Programs by Sampling Diverse Fixes

Hossein Hajipour; Apratim Bhattacharyya; Mario Fritz

SampleFix: Learning to Correct Programs by Sampling Diverse Fixes Workshop

NeurIPS Workshop on Computer-Assisted Programming, 2020.

Links | BibTeX | Tags: 2019, 2020

@workshop{hajipour20neuripscap,
title = {SampleFix: Learning to Correct Programs by Sampling Diverse Fixes},
author = {Hossein Hajipour and Apratim Bhattacharyya and Mario Fritz},
url = {https://arxiv.org/abs/1906.10502
https://arxiv.org/pdf/1906.10502.pdf},
year = {2020},
date = {2020-12-06},
urldate = {2020-12-06},
booktitle = {NeurIPS Workshop on Computer-Assisted Programming},
keywords = {2019, 2020},
pubstate = {published},
tppubtype = {workshop}
}

Close

  • https://arxiv.org/abs/1906.10502
  • https://arxiv.org/pdf/1906.10502.pdf

Close

IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis

Hossein Hajipour; Mateusz Malinowski; Mario Fritz

IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis Workshop

NeurIPS Workshop on Computer-Assisted Programming, 2020.

Links | BibTeX | Tags: 2020

@workshop{neuripscap20hajipour,
title = {IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis},
author = {Hossein Hajipour and Mateusz Malinowski and Mario Fritz},
url = {https://arxiv.org/abs/2006.10720
https://arxiv.org/pdf/2006.10720.pdf},
year = {2020},
date = {2020-12-06},
booktitle = {NeurIPS Workshop on Computer-Assisted Programming},
keywords = {2020},
pubstate = {published},
tppubtype = {workshop}
}

Close

  • https://arxiv.org/abs/2006.10720
  • https://arxiv.org/pdf/2006.10720.pdf

Close

Haar Wavelet based Block Autoregressive Flows for Trajectories

Apratim Bhattacharyya; Christoph-Nikolas Straehle; Mario Fritz; Bernt Schiele

Haar Wavelet based Block Autoregressive Flows for Trajectories Workshop

NeurIPS Workshop on Machine Learning for Autonomous Driving, 2020.

Links | BibTeX | Tags: 2020

@workshop{neuripsml4ad20apratim,
title = {Haar Wavelet based Block Autoregressive Flows for Trajectories},
author = {Apratim Bhattacharyya and Christoph-Nikolas Straehle and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/2009.09878
https://arxiv.org/pdf/2009.09878.pdf},
year = {2020},
date = {2020-12-06},
booktitle = {NeurIPS Workshop on Machine Learning for Autonomous Driving},
keywords = {2020},
pubstate = {published},
tppubtype = {workshop}
}

Close

  • https://arxiv.org/abs/2009.09878
  • https://arxiv.org/pdf/2009.09878.pdf

Close

Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction

Hosnieh Sattar; Katharina Krombholz; Gerard Pons-Moll; Mario Fritz

Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction Workshop

Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security CVCOPS (ECCV-W), 2020.

Links | BibTeX | Tags: 2020

@workshop{cvcops20sattar,
title = {Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction},
author = {Hosnieh Sattar and Katharina Krombholz and Gerard Pons-Moll and Mario Fritz
},
url = {https://arxiv.org/abs/1905.11503
https://arxiv.org/pdf/1905.11503.pdf},
year = {2020},
date = {2020-08-28},
booktitle = {Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security CVCOPS (ECCV-W)},
keywords = {2020},
pubstate = {published},
tppubtype = {workshop}
}

Close

  • https://arxiv.org/abs/1905.11503
  • https://arxiv.org/pdf/1905.11503.pdf

Close

Synthetic Convolutional Features for Improved Semantic Segmentation

Yang He; Bernt Schiele; Mario Fritz

Synthetic Convolutional Features for Improved Semantic Segmentation Workshop

Workshop on Assistive Computer Vision and Robotics at European Conference on Computer Vision (ECCV-W), 2020.

Links | BibTeX | Tags: 2020

@workshop{eccvw20he,
title = {Synthetic Convolutional Features for Improved Semantic Segmentation},
author = {Yang He and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/2009.08849
https://arxiv.org/pdf/2009.08849.pdf},
year = {2020},
date = {2020-08-28},
booktitle = {Workshop on Assistive Computer Vision and Robotics at European Conference on Computer Vision (ECCV-W)},
keywords = {2020},
pubstate = {published},
tppubtype = {workshop}
}

Close

  • https://arxiv.org/abs/2009.08849
  • https://arxiv.org/pdf/2009.08849.pdf

Close

2019

Journal Articles

MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation

Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling

MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation Journal Article

In: Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.

Links | BibTeX | Tags: 2017, 2018, 2019

@article{xucong19tpami,
title = {MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation},
author = {Xucong Zhang and Yusuke Sugano and Mario Fritz and Andreas Bulling},
url = {https://arxiv.org/abs/1711.09017
https://arxiv.org/pdf/1711.09017.pdf},
year = {2019},
date = {2019-02-04},
urldate = {2019-02-04},
journal = {Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
keywords = {2017, 2018, 2019},
pubstate = {published},
tppubtype = {article}
}

Close

  • https://arxiv.org/abs/1711.09017
  • https://arxiv.org/pdf/1711.09017.pdf

Close

Book Sections

Towards reverse-engineering black-box neural networks

Seong Joon Oh; Bernt Schiele; Mario Fritz

Towards reverse-engineering black-box neural networks Book Section

In: Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 2019.

Links | BibTeX | Tags: 2019

@incollection{oh20xai,
title = {Towards reverse-engineering black-box neural networks},
author = {Seong Joon Oh and Bernt Schiele and Mario Fritz},
url = {https://link.springer.com/chapter/10.1007/978-3-030-28954-6_7},
year = {2019},
date = {2019-09-10},
booktitle = {Explainable AI: Interpreting, Explaining and Visualizing Deep Learning},
keywords = {2019},
pubstate = {published},
tppubtype = {incollection}
}

Close

  • https://link.springer.com/chapter/10.1007/978-3-030-28954-6_7

Close

Proceedings Articles

Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints

Ning Yu; Larry Davis; Mario Fritz

Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints Proceedings Article

In: International Conference on Computer Vision (ICCV), 2019.

Links | BibTeX | Tags: 2019

@inproceedings{yu19iccv,
title = {Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints},
author = {Ning Yu and Larry Davis and Mario Fritz},
url = {//arxiv.org/abs/1811.08180
//arxiv.org/pdf/1811.08180.pdf
},
year = {2019},
date = {2019-10-30},
urldate = {2019-10-30},
booktitle = {International Conference on Computer Vision (ICCV)},
keywords = {2019},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • //arxiv.org/abs/1811.08180
  • //arxiv.org/pdf/1811.08180.pdf

Close

Deep Appearance Maps

Maxim Maximov; Tobias Ritschel; Laura Leal-Taixe; Mario Fritz

Deep Appearance Maps Proceedings Article

In: International Conference on Computer Vision (ICCV), 2019.

Links | BibTeX | Tags: 2019

@inproceedings{maximov19iccv,
title = {Deep Appearance Maps},
author = {Maxim Maximov and Tobias Ritschel and Laura Leal-Taixe and Mario Fritz},
url = {//arxiv.org/abs/1804.00863
//arxiv.org/pdf/1804.00863.pdf},
year = {2019},
date = {2019-10-29},
urldate = {2019-10-29},
booktitle = {International Conference on Computer Vision (ICCV)},
keywords = {2019},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • //arxiv.org/abs/1804.00863
  • //arxiv.org/pdf/1804.00863.pdf

Close

Knockoff Nets: Stealing Functionality of Black-Box Models

Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz

Knockoff Nets: Stealing Functionality of Black-Box Models Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

Links | BibTeX | Tags: 2019

@inproceedings{orekondy19cvpr,
title = {Knockoff Nets: Stealing Functionality of Black-Box Models },
author = {Tribhuvanesh Orekondy and Bernt Schiele and Mario Fritz},
url = {preliminary version:
https://arxiv.org/abs/1812.02766
https://arxiv.org/pdf/1812.02766},
year = {2019},
date = {2019-06-18},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2019},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • preliminary version:
  • https://arxiv.org/abs/1812.02766
  • https://arxiv.org/pdf/1812.02766

Close

Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation

Rakshith Shetty; Bernt Schiele; Mario Fritz

Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

Links | BibTeX | Tags: 2019

@inproceedings{shetty19cvpr,
title = {Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation},
author = {Rakshith Shetty and Bernt Schiele and Mario Fritz},
url = {preliminary version:
https://arxiv.org/abs/1812.06707
https://arxiv.org/pdf/1812.06707.pdf},
year = {2019},
date = {2019-06-17},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2019},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • preliminary version:
  • https://arxiv.org/abs/1812.06707
  • https://arxiv.org/pdf/1812.06707.pdf

Close

Time-Conditioned Action Anticipation in One Shot

Qiuhong Ke; Mario Fritz; Bernt Schiele

Time-Conditioned Action Anticipation in One Shot Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

BibTeX | Tags: 2019

@inproceedings{ke19cvpr,
title = {Time-Conditioned Action Anticipation in One Shot},
author = {Qiuhong Ke and Mario Fritz and Bernt Schiele},
year = {2019},
date = {2019-06-16},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2019},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods

Apratim Bhattacharyya; Mario Fritz; Bernt Schiele

Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods Proceedings Article

In: International Conference on Representation Learning (ICLR), 2019.

Links | BibTeX | Tags: 2019

@inproceedings{apratim19iclr,
title = {Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods},
author = {Apratim Bhattacharyya and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/1810.00746
https://arxiv.org/pdf/1810.00746.pdf},
year = {2019},
date = {2019-05-06},
booktitle = {International Conference on Representation Learning (ICLR)},
keywords = {2019},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/1810.00746
  • https://arxiv.org/pdf/1810.00746.pdf

Close

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

Ahmed Salem; Yang Zhang; Mathias Humbert; Mario Fritz; Michael Backes

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models Proceedings Article

In: Annual Network and Distributed System Security Symposium (NDSS), 2019.

Links | BibTeX | Tags: 2019

@inproceedings{ndss19salem,
title = {ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models},
author = {Ahmed Salem and Yang Zhang and Mathias Humbert and Mario Fritz and Michael Backes},
url = {preliminary:
https://arxiv.org/abs/1806.01246
https://arxiv.org/pdf/1806.01246.pdf
},
year = {2019},
date = {2019-02-24},
urldate = {2019-02-24},
booktitle = {Annual Network and Distributed System Security Symposium (NDSS)},
keywords = {2019},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • preliminary:
  • https://arxiv.org/abs/1806.01246
  • https://arxiv.org/pdf/1806.01246.pdf

Close

Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources

Hosnieh Sattar; Gerard Pons-Moll; Mario Fritz

Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources Proceedings Article

In: IEEE Winter Conference on Applications of Computer Vision (WACV), 2019.

Links | BibTeX | Tags: 2019

@inproceedings{sattar19wacv,
title = {Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources },
author = {Hosnieh Sattar and Gerard Pons-Moll and Mario Fritz},
url = {preliminary:
//arxiv.org/abs/1807.03235
//arxiv.org/pdf/1807.03235.pdf},
year = {2019},
date = {2019-01-08},
urldate = {2019-01-08},
booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
keywords = {2019},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • preliminary:
  • //arxiv.org/abs/1807.03235
  • //arxiv.org/pdf/1807.03235.pdf

Close

Technical Reports

Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation

Yang He; Shadi Rahimian; Bernt Schiele; Mario Fritz

Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation Technical Report

arXiv:1912.09685, 2019.

Links | BibTeX | Tags: 2019, 2020

@techreport{he19arxiv,
title = {Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation},
author = {Yang He and Shadi Rahimian and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/1912.09685
https://arxiv.org/pdf/1912.09685.pdf},
year = {2019},
date = {2019-12-19},
type = {arXiv:1912.09685},
keywords = {2019, 2020},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1912.09685
  • https://arxiv.org/pdf/1912.09685.pdf

Close

Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing

Vedika Agarwal; Rakshith Shetty; Mario Fritz

Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing Technical Report

2019.

Links | BibTeX | Tags: 2019, 2020

@techreport{agarwal19arxiv,
title = {Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing},
author = {Vedika Agarwal and Rakshith Shetty and Mario Fritz
},
url = {https://arxiv.org/abs/1912.07538
https://arxiv.org/pdf/1912.07538.pdf},
year = {2019},
date = {2019-12-16},
keywords = {2019, 2020},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1912.07538
  • https://arxiv.org/pdf/1912.07538.pdf

Close

"Best-of-Many-Samples" Distribution Matching

Apratim Bhattacharyya; Mario Fritz; Bernt Schiele

"Best-of-Many-Samples" Distribution Matching Technical Report

arXiv:1909.12598, 2019.

Links | BibTeX | Tags: 2019

@techreport{bhattacharyya19arxivb,
title = {"Best-of-Many-Samples" Distribution Matching},
author = {Apratim Bhattacharyya and Mario Fritz and Bernt Schiele},
url = {//arxiv.org/abs/1909.12598
//arxiv.org/pdf/1909.12598.pdf},
year = {2019},
date = {2019-09-27},
urldate = {2019-09-27},
type = {arXiv:1909.12598},
keywords = {2019},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • //arxiv.org/abs/1909.12598
  • //arxiv.org/pdf/1909.12598.pdf

Close

GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs

Dingfan Chen; Ning Yu; Yang Zhang; Mario Fritz

GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs Technical Report

arXiv:1909.03935, 2019.

Links | BibTeX | Tags: 2019

@techreport{chen19arxiv,
title = {GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs},
author = {Dingfan Chen and Ning Yu and Yang Zhang and Mario Fritz},
url = {https://arxiv.org/abs/1909.03935
https://arxiv.org/pdf/1909.03935.pdf},
year = {2019},
date = {2019-09-09},
urldate = {2019-09-09},
type = {arXiv:1909.03935},
keywords = {2019},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1909.03935
  • https://arxiv.org/pdf/1909.03935.pdf

Close

WhiteNet: Phishing Website Detection by Visual Whitelists

Sahar Abdelnabi; Katharina Krombholz; Mario Fritz

WhiteNet: Phishing Website Detection by Visual Whitelists Technical Report

arXiv:1909.00300, 2019.

Links | BibTeX | Tags: 2019

@techreport{abdelnabi19arxiv,
title = {WhiteNet: Phishing Website Detection by Visual Whitelists},
author = {Sahar Abdelnabi and Katharina Krombholz and Mario Fritz},
url = {https://arxiv.org/abs/1909.00300
https://arxiv.org/pdf/1909.00300.pdf},
year = {2019},
date = {2019-09-01},
urldate = {2019-09-01},
type = {arXiv:1909.00300},
keywords = {2019},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1909.00300
  • https://arxiv.org/pdf/1909.00300.pdf

Close

Conditional Flow Variational Autoencoders for Structured Sequence Prediction

Apratim Bhattacharyya; Michael Hanselmann; Mario Fritz; Bernt Schiele; Christoph-Nikolas Straehle

Conditional Flow Variational Autoencoders for Structured Sequence Prediction Technical Report

arXiv:1908.09008, 2019.

Links | BibTeX | Tags: 2019

@techreport{bhattacharyya19arxiv,
title = {Conditional Flow Variational Autoencoders for Structured Sequence Prediction},
author = {Apratim Bhattacharyya and Michael Hanselmann and Mario Fritz and Bernt Schiele and Christoph-Nikolas Straehle},
url = {https://arxiv.org/abs/1908.09008
https://arxiv.org/pdf/1908.09008.pdf},
year = {2019},
date = {2019-08-24},
urldate = {2019-08-24},
type = {arXiv:1908.09008},
keywords = {2019},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1908.09008
  • https://arxiv.org/pdf/1908.09008.pdf

Close

Interpretability Beyond Classification Output: Semantic Bottleneck Networks

Max Losch; Mario Fritz; Bernt Schiele

Interpretability Beyond Classification Output: Semantic Bottleneck Networks Technical Report

arXiv:1907.10882 , 2019.

Links | BibTeX | Tags: 2019

@techreport{losch19arxiv,
title = {Interpretability Beyond Classification Output: Semantic Bottleneck Networks},
author = {Max Losch and Mario Fritz and Bernt Schiele},
url = {//arxiv.org/abs/1907.10882
//arxiv.org/pdf/1907.10882.pdf},
year = {2019},
date = {2019-07-25},
urldate = {2019-07-25},
type = {arXiv:1907.10882 },
keywords = {2019},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • //arxiv.org/abs/1907.10882
  • //arxiv.org/pdf/1907.10882.pdf

Close

Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks

Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz

Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks Technical Report

2019.

Links | BibTeX | Tags: 2019

@techreport{orekondy19arxiv,
title = {Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks},
author = {Tribhuvanesh Orekondy and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/1906.10908
https://arxiv.org/pdf/1906.10908.pdf},
year = {2019},
date = {2019-06-26},
urldate = {2019-06-26},
keywords = {2019},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1906.10908
  • https://arxiv.org/pdf/1906.10908.pdf

Close

SampleFix: Learning to Correct Programs by Sampling Diverse Fixes

Hossein Hajipour; Apratim Bhattacharyya; Mario Fritz

SampleFix: Learning to Correct Programs by Sampling Diverse Fixes Technical Report

arXiv:1906.10502, 2019.

Links | BibTeX | Tags: 2019

@techreport{hajipour19arxiv,
title = {SampleFix: Learning to Correct Programs by Sampling Diverse Fixes},
author = {Hossein Hajipour and Apratim Bhattacharyya and Mario Fritz},
url = {//arxiv.org/abs/1906.10502
//arxiv.org/pdf/1906.10502.pdf},
year = {2019},
date = {2019-06-24},
urldate = {2019-06-24},
type = {arXiv:1906.10502},
keywords = {2019},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • //arxiv.org/abs/1906.10502
  • //arxiv.org/pdf/1906.10502.pdf

Close

Shape Evasion: Preventing Body Shape Inference of Multi-Stage Approaches

Hosnieh Sattar; Katharina Krombholz; Gerard Pons-Moll; Mario Fritz

Shape Evasion: Preventing Body Shape Inference of Multi-Stage Approaches Technical Report

arXiv:1905.11503 , 2019.

Links | BibTeX | Tags: 2019

@techreport{sattar19arxiv,
title = {Shape Evasion: Preventing Body Shape Inference of Multi-Stage Approaches},
author = {Hosnieh Sattar and Katharina Krombholz and Gerard Pons-Moll and Mario Fritz},
url = {//arxiv.org/abs/1905.11503
//arxiv.org/pdf/1905.11503.pdf},
year = {2019},
date = {2019-05-30},
urldate = {2019-05-30},
type = {arXiv:1905.11503 },
keywords = {2019},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • //arxiv.org/abs/1905.11503
  • //arxiv.org/pdf/1905.11503.pdf

Close

Learning Manipulation under Physics Constraints with Visual Perception

Wenbin Li; Ales Leonardis; Jeannette Bohg; Mario Fritz

Learning Manipulation under Physics Constraints with Visual Perception Technical Report

2019.

Links | BibTeX | Tags: 2019

@techreport{li19arxiv,
title = {Learning Manipulation under Physics Constraints with Visual Perception},
author = {Wenbin Li and Ales Leonardis and Jeannette Bohg and Mario Fritz},
url = {//arxiv.org/abs/1904.09860
//arxiv.org/pdf/1904.09860.pdf
},
year = {2019},
date = {2019-04-19},
urldate = {2019-04-19},
keywords = {2019},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • //arxiv.org/abs/1904.09860
  • //arxiv.org/pdf/1904.09860.pdf

Close

Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning

Ahmed Salem; Apratim Bhattacharyya; Michael Backes; Mario Fritz; Yang Zhang

Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning Technical Report

2019.

Links | BibTeX | Tags: 2019

@techreport{salem19arxiv,
title = {Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning},
author = {Ahmed Salem and Apratim Bhattacharyya and Michael Backes and Mario Fritz and Yang Zhang},
url = {//arxiv.org/abs/1904.01067
//arxiv.org/pdf/1904.01067.pdf},
year = {2019},
date = {2019-04-03},
journal = {arXiv:1904.01067},
keywords = {2019},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • //arxiv.org/abs/1904.01067
  • //arxiv.org/pdf/1904.01067.pdf

Close

Workshops

Differential Privacy Defenses and Sampling Attacks for Membership Inference

Shadi Rahimian; Tribhuvanesh Orekondy; Mario Fritz

Differential Privacy Defenses and Sampling Attacks for Membership Inference Workshop

NeurIPS Workshop on Privacy in Machine Learning (PRIML), 2019.

Links | BibTeX | Tags: 2019

@workshop{Rahimian19priml,
title = {Differential Privacy Defenses and Sampling Attacks for Membership Inference},
author = {Shadi Rahimian and Tribhuvanesh Orekondy and Mario Fritz},
url = {https://priml-workshop.github.io/priml2019/papers/PriML2019_paper_47.pdf},
year = {2019},
date = {2019-12-14},
booktitle = {NeurIPS Workshop on Privacy in Machine Learning (PRIML)},
keywords = {2019},
pubstate = {published},
tppubtype = {workshop}
}

Close

  • https://priml-workshop.github.io/priml2019/papers/PriML2019_paper_47.pdf

Close

Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning

Ahmed Salem; Apratim Bhattacharyya; Michael Backes; Mario Fritz; Yang Zhang

Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning Workshop

Hot Topics in Privacy Enhancing Technologies (HotPETs), 2019.

Links | BibTeX | Tags: 2019

@workshop{salem19hotpet,
title = {Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning},
author = {Ahmed Salem and Apratim Bhattacharyya and Michael Backes and Mario Fritz and Yang Zhang},
url = {https://arxiv.org/abs/1904.01067
https://arxiv.org/pdf/1904.01067.pdf},
year = {2019},
date = {2019-07-19},
urldate = {2019-07-19},
booktitle = {Hot Topics in Privacy Enhancing Technologies (HotPETs)},
keywords = {2019},
pubstate = {published},
tppubtype = {workshop}
}

Close

  • https://arxiv.org/abs/1904.01067
  • https://arxiv.org/pdf/1904.01067.pdf

Close

Understanding and Recognizing Bystanders in Images for Privacy Protection

Rakibul Hasan; David Crandall; Mario Fritz; Apu Kapadia

Understanding and Recognizing Bystanders in Images for Privacy Protection Workshop

Privacy, Usability, and Transparency (PUT) @ PETs, 2019.

Links | BibTeX | Tags: 2019

@workshop{hasan19put,
title = {Understanding and Recognizing Bystanders in Images for Privacy Protection},
author = {Rakibul Hasan and David Crandall and Mario Fritz and Apu Kapadia},
url = {https://petsymposium.org/2019/files/workshop/abstracts/PUT_2019_paper_15.pdf},
year = {2019},
date = {2019-07-15},
urldate = {2019-07-15},
booktitle = {Privacy, Usability, and Transparency (PUT) @ PETs},
keywords = {2019},
pubstate = {published},
tppubtype = {workshop}
}

Close

  • https://petsymposium.org/2019/files/workshop/abstracts/PUT_2019_paper_15.pdf

Close

2018

Journal Articles

Advanced Steel Microstructural Classification by Deep Learning Methods

Seyedmajid Azimi; Dominik Britz; Michael Engstler; Mario Fritz; Frank Mücklich

Advanced Steel Microstructural Classification by Deep Learning Methods Journal Article

In: Scientific Reports, 2018.

Links | BibTeX | Tags: 2018

@article{majid17srep,
title = {Advanced Steel Microstructural Classification by Deep Learning Methods},
author = {Seyedmajid Azimi and Dominik Britz and Michael Engstler and Mario Fritz and Frank Mücklich},
url = {https://www.nature.com/articles/s41598-018-20037-5
https://www.nature.com/articles/s41598-018-20037-5.pdf},
year = {2018},
date = {2018-02-01},
urldate = {2018-02-01},
journal = {Scientific Reports},
publisher = {Nature Publishing Group},
keywords = {2018},
pubstate = {published},
tppubtype = {article}
}

Close

  • https://www.nature.com/articles/s41598-018-20037-5
  • https://www.nature.com/articles/s41598-018-20037-5.pdf

Close

Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning

Stamatios Georgoulis; Konstantinos Rematas; Tobias Ritschel; Efstratios Gavves; Mario Fritz; Luc Van Gool; Tinne Tuytelaars

Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning Journal Article

In: Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.

BibTeX | Tags: 2017, 2018

@article{gergoulis18tpami,
title = {Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning},
author = {Stamatios Georgoulis and Konstantinos Rematas and Tobias Ritschel and Efstratios Gavves and Mario Fritz and Luc Van Gool and Tinne Tuytelaars},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
journal = {Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
keywords = {2017, 2018},
pubstate = {published},
tppubtype = {article}
}

Close

Proceedings Articles

Adversarial Scene Editing: Automatic Object Removal from Weak Supervision

Rakshith Shetty; Mario Fritz; Bernt Schiele

Adversarial Scene Editing: Automatic Object Removal from Weak Supervision Proceedings Article

In: Neural Information Processing Systems (NIPS), 2018.

Links | BibTeX | Tags: 2018

@inproceedings{shetty18nips,
title = {Adversarial Scene Editing: Automatic Object Removal from Weak Supervision },
author = {Rakshith Shetty and Mario Fritz and Bernt Schiele},
url = {preliminary:
https://arxiv.org/abs/1806.01911
https://arxiv.org/pdf/1806.01911.pdf},
year = {2018},
date = {2018-12-03},
booktitle = {Neural Information Processing Systems (NIPS)},
keywords = {2018},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • preliminary:
  • https://arxiv.org/abs/1806.01911
  • https://arxiv.org/pdf/1806.01911.pdf

Close

Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes

Yang He; Bernt Schiele; Mario Fritz

Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes Proceedings Article

In: European Conference on Computer Vision (ECCV), 2018.

Links | BibTeX | Tags: 2018

@inproceedings{he18eccv,
title = {Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes},
author = {Yang He and Bernt Schiele and Mario Fritz},
url = {http://openaccess.thecvf.com/content_ECCV_2018/papers/Yang_He_Diverse_Conditional_Image_ECCV_2018_paper.pdf},
year = {2018},
date = {2018-09-12},
booktitle = {European Conference on Computer Vision (ECCV)},
keywords = {2018},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • http://openaccess.thecvf.com/content_ECCV_2018/papers/Yang_He_Diverse_Conditiona[...]

Close

A Hybrid Model for Identity Obfuscation by Face Replacement

Qianru Sun; Ayush Tewari; Weipeng Xu; Mario Fritz; Christian Theobalt; Bernt Schiele

A Hybrid Model for Identity Obfuscation by Face Replacement Proceedings Article

In: European Conference on Computer Vision, 2018.

Links | BibTeX | Tags: 2018

@inproceedings{sun18eccv,
title = {A Hybrid Model for Identity Obfuscation by Face Replacement},
author = {Qianru Sun and Ayush Tewari and Weipeng Xu and Mario Fritz and Christian Theobalt and Bernt Schiele},
url = {https://arxiv.org/abs/1804.04779
https://arxiv.org/pdf/1804.04779.pdf},
year = {2018},
date = {2018-09-09},
booktitle = {European Conference on Computer Vision},
keywords = {2018},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/1804.04779
  • https://arxiv.org/pdf/1804.04779.pdf

Close

Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions

Misha Wagner; Hector Basevi; Rakshith Shetty; Wenbin Li; Mateusz Malinowski; Mario Fritz; Ales Leonardis

Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions Proceedings Article

In: Visual Learning and Embodied Agents in Simulation Environments Workshop at European Conference on Computer Vision, 2018.

Links | BibTeX | Tags: 2018

@inproceedings{wagner18eccvw,
title = {Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions},
author = {Misha Wagner and Hector Basevi and Rakshith Shetty and Wenbin Li and Mateusz Malinowski and Mario Fritz and Ales Leonardis},
url = {https://arxiv.org/abs/1809.03707
https://arxiv.org/pdf/1809.03707.pdf},
year = {2018},
date = {2018-09-08},
booktitle = {Visual Learning and Embodied Agents in Simulation Environments Workshop at European Conference on Computer Vision},
keywords = {2018},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/1809.03707
  • https://arxiv.org/pdf/1809.03707.pdf

Close

Sequential Attacks on Agents for Long-Term Adversarial Goals

Edgar Tretschk; Seong Joon Oh; Mario Fritz

Sequential Attacks on Agents for Long-Term Adversarial Goals Proceedings Article

In: 2. ACM Computer Science in Cars Symposium -- Future Challenges in Artificial Intelligence & Security for Autonomous Vehicles, 2018.

BibTeX | Tags: 2018

@inproceedings{edgar18cscs,
title = {Sequential Attacks on Agents for Long-Term Adversarial Goals},
author = {Edgar Tretschk and Seong Joon Oh and Mario Fritz}},
year = {2018},
date = {2018-09-01},
booktitle = {2. ACM Computer Science in Cars Symposium -- Future Challenges in Artificial Intelligence & Security for Autonomous Vehicles},
keywords = {2018},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation

Rakshith Shetty; Bernt Schiele; Mario Fritz

A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation Proceedings Article

In: 27th USENIX Security Symposium (USENIX Security 18), 2018.

Links | BibTeX | Tags: 2018

@inproceedings{usenix18rakshith,
title = {A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation},
author = {Rakshith Shetty and Bernt Schiele and Mario Fritz},
url = {preliminary version:
https://arxiv.org/abs/1711.01921
https://arxiv.org/pdf/1711.01921.pdf
},
year = {2018},
date = {2018-08-17},
urldate = {2018-08-17},
booktitle = {27th USENIX Security Symposium (USENIX Security 18)},
keywords = {2018},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • preliminary version:
  • https://arxiv.org/abs/1711.01921
  • https://arxiv.org/pdf/1711.01921.pdf

Close

Accurate and Diverse Sampling of Sequences based on a “Best of Many” Sample Objective

Apratim Bhattacharyya; Bernt Schiele; Mario Fritz

Accurate and Diverse Sampling of Sequences based on a “Best of Many” Sample Objective Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

Links | BibTeX | Tags: 2018

@inproceedings{apratim18cvprb,
title = {Accurate and Diverse Sampling of Sequences based on a “Best of Many” Sample Objective},
author = {Apratim Bhattacharyya and Bernt Schiele and Mario Fritz},
url = {http://openaccess.thecvf.com/content_cvpr_2018/CameraReady/3890.pdf},
year = {2018},
date = {2018-06-22},
urldate = {2018-06-22},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2018},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • http://openaccess.thecvf.com/content_cvpr_2018/CameraReady/3890.pdf

Close

Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images

Tribhuvanesh Orekondy; Mario Fritz; Bernt Schiele

Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

Links | BibTeX | Tags: 2018

@inproceedings{tribhu18cvpr,
title = {Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images},
author = {Tribhuvanesh Orekondy and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/1712.01066
https://arxiv.org/pdf/1712.01066.pdf},
year = {2018},
date = {2018-06-18},
urldate = {2018-06-18},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2018},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/1712.01066
  • https://arxiv.org/pdf/1712.01066.pdf

Close

Natural and Effective Obfuscation by Head Inpainting

Qianru Sun; Liqian Ma; Seong Joon Oh; Luc Van Gool; Bernt Schiele; Mario Fritz

Natural and Effective Obfuscation by Head Inpainting Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

Links | BibTeX | Tags: 2018

@inproceedings{sun18cvpr,
title = {Natural and Effective Obfuscation by Head Inpainting},
author = {Qianru Sun and Liqian Ma and Seong Joon Oh and Luc Van Gool and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/1711.09001
https://arxiv.org/pdf/1711.09001.pdf},
year = {2018},
date = {2018-06-18},
urldate = {2018-06-18},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2018},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/1711.09001
  • https://arxiv.org/pdf/1711.09001.pdf

Close

Disentangled Person Image Generation

Liqian Ma; Qianru Sun; Stamatios Georgoulis; Luc Van Gool; Bernt Schiele; Mario Fritz

Disentangled Person Image Generation Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

Links | BibTeX | Tags: 2018

@inproceedings{ma18cvpr,
title = {Disentangled Person Image Generation },
author = {Liqian Ma and Qianru Sun and Stamatios Georgoulis and Luc Van Gool and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/1712.02621
https://arxiv.org/pdf/1712.02621.pdf},
year = {2018},
date = {2018-06-18},
urldate = {2018-06-18},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2018},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/1712.02621
  • https://arxiv.org/pdf/1712.02621.pdf

Close

Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty

Apratim Bhattacharyya; Mario Fritz; Bernt Schiele

Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

Links | BibTeX | Tags: 2018

@inproceedings{apratim18cvpr,
title = {Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty},
author = {Apratim Bhattacharyya and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/1711.09026
https://arxiv.org/pdf/1711.09026.pdf},
year = {2018},
date = {2018-06-18},
urldate = {2018-06-18},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2018},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/1711.09026
  • https://arxiv.org/pdf/1711.09026.pdf

Close

Towards Reverse-Engineering Black-Box Neural Networks

Seong Joon Oh; Max Augustin; Bernt Schiele; Mario Fritz

Towards Reverse-Engineering Black-Box Neural Networks Proceedings Article

In: Internation Conference on Representation Learning (ICLR), 2018.

Links | BibTeX | Tags: 2018

@inproceedings{joon18icrl,
title = {Towards Reverse-Engineering Black-Box Neural Networks},
author = {Seong Joon Oh and Max Augustin and Bernt Schiele and Mario Fritz},
url = {https://github.com/coallaoh/WhitenBlackBox
https://arxiv.org/abs/1711.01768
https://arxiv.org/pdf/1711.01768.pdf},
year = {2018},
date = {2018-04-30},
urldate = {2018-04-30},
booktitle = {Internation Conference on Representation Learning (ICLR)},
keywords = {2018},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://github.com/coallaoh/WhitenBlackBox
  • https://arxiv.org/abs/1711.01768
  • https://arxiv.org/pdf/1711.01768.pdf

Close

Long-Term Image Boundary Prediction

Apratim Bhattacharyya; Mateusz Malinowski; Bernt Schiele; Mario Fritz

Long-Term Image Boundary Prediction Proceedings Article

In: Association for the Advancement of Artificial Intelligence (AAAI), 2018.

Links | BibTeX | Tags: 2018

@inproceedings{apratim18aaai,
title = {Long-Term Image Boundary Prediction},
author = {Apratim Bhattacharyya and Mateusz Malinowski and Bernt Schiele and Mario Fritz},
url = {https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/17280/16540},
year = {2018},
date = {2018-02-02},
urldate = {2018-02-02},
booktitle = {Association for the Advancement of Artificial Intelligence (AAAI)},
keywords = {2018},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/17280/16540

Close

Technical Reports

Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation

Rakshith Shetty; Bernt Schiele; Mario Fritz

Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation Technical Report

arXiv:1812.06707, 2018.

Links | BibTeX | Tags: 2018

@techreport{shetty8arxiv,
title = {Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation},
author = {Rakshith Shetty and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/1812.06707
https://arxiv.org/pdf/1812.06707.pdf},
year = {2018},
date = {2018-12-17},
type = {arXiv:1812.06707},
keywords = {2018},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1812.06707
  • https://arxiv.org/pdf/1812.06707.pdf

Close

Knockoff Nets: Stealing Functionality of Black-Box Models

Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz

Knockoff Nets: Stealing Functionality of Black-Box Models Technical Report

arXiv:1812.02766, 2018.

Links | BibTeX | Tags: 2018

@techreport{tribhu18arxivb,
title = {Knockoff Nets: Stealing Functionality of Black-Box Models},
author = {Tribhuvanesh Orekondy and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/1812.02766
https://arxiv.org/pdf/1812.02766.pdf
},
year = {2018},
date = {2018-12-10},
type = {arXiv:1812.02766},
keywords = {2018},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1812.02766
  • https://arxiv.org/pdf/1812.02766.pdf

Close

Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images

Ning Yu; Larry Davis; Mario Fritz

Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images Technical Report

2018.

Links | BibTeX | Tags: 2018

@techreport{yu18arxiv,
title = {Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images},
author = {Ning Yu and Larry Davis and Mario Fritz},
url = {https://arxiv.org/abs/1811.08180
https://arxiv.org/pdf/1811.08180.pdf},
year = {2018},
date = {2018-11-21},
keywords = {2018},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1811.08180
  • https://arxiv.org/pdf/1811.08180.pdf

Close

MLCapsule: Guarded Offline Deployment of Machine Learning as a Service

Lucjan Hanzlik; Yang Zhang; Kathrin Grosse; Ahmed Salem; Max Augustin; Michael Backes; Mario Fritz

MLCapsule: Guarded Offline Deployment of Machine Learning as a Service Technical Report

arXiv:1808.00590 [cs.CR], 2018.

Links | BibTeX | Tags: 2018

@techreport{hanzlik18arixv,
title = {MLCapsule: Guarded Offline Deployment of Machine Learning as a Service},
author = {Lucjan Hanzlik and Yang Zhang and Kathrin Grosse and Ahmed Salem and Max Augustin and Michael Backes and Mario Fritz},
url = {https://arxiv.org/abs/1808.00590
https://arxiv.org/pdf/1808.00590.pdf},
year = {2018},
date = {2018-08-03},
type = {arXiv:1808.00590 [cs.CR]},
keywords = {2018},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1808.00590
  • https://arxiv.org/pdf/1808.00590.pdf

Close

Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources

Hosnieh Sattar; Gerard Pons-Moll; Mario Fritz

Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources Technical Report

arXiv:1807.03235, 2018.

Links | BibTeX | Tags: 2018

@techreport{sattar18arxiv,
title = {Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources},
author = {Hosnieh Sattar and Gerard Pons-Moll and Mario Fritz},
url = {//arxiv.org/abs/1807.03235
//arxiv.org/pdf/1807.03235.pdf
},
year = {2018},
date = {2018-07-10},
urldate = {2018-07-10},
type = {arXiv:1807.03235},
keywords = {2018},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • //arxiv.org/abs/1807.03235
  • //arxiv.org/pdf/1807.03235.pdf

Close

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

Ahmed Salem; Yang Zhang; Mathias Humbert; Mario Fritz; Michael Backes

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models Technical Report

arXiv:1806.01246 [cs.CR], 2018.

Links | BibTeX | Tags: 2018

@techreport{salem18arxiv,
title = {ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models},
author = {Ahmed Salem and Yang Zhang and Mathias Humbert and Mario Fritz and Michael Backes},
url = {https://arxiv.org/abs/1806.01246
https://arxiv.org/pdf/1806.01246.pdf
},
year = {2018},
date = {2018-06-05},
type = {arXiv:1806.01246 [cs.CR]},
keywords = {2018},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1806.01246
  • https://arxiv.org/pdf/1806.01246.pdf

Close

Adversarial Scene Editing: Automatic Object Removal from Weak Supervision

Rakshith Shetty; Mario Fritz; Bernt Schiele

Adversarial Scene Editing: Automatic Object Removal from Weak Supervision Technical Report

2018.

Links | BibTeX | Tags: 2018

@techreport{rakshith18arxiv,
title = {Adversarial Scene Editing: Automatic Object Removal from Weak Supervision},
author = {Rakshith Shetty and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/1806.01911
https://arxiv.org/pdf/1806.01911.pdf},
year = {2018},
date = {2018-06-05},
keywords = {2018},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1806.01911
  • https://arxiv.org/pdf/1806.01911.pdf

Close

Sequential Attacks on Agents for Long-Term Adversarial Goals

Edgar Tretschk; Seong Joon Oh; Mario Fritz

Sequential Attacks on Agents for Long-Term Adversarial Goals Technical Report

arXiv:1805.12487, 2018.

Links | BibTeX | Tags: 2018

@techreport{tretschk18arxiv,
title = {Sequential Attacks on Agents for Long-Term Adversarial Goals},
author = {Edgar Tretschk and Seong Joon Oh and Mario Fritz},
url = {https://arxiv.org/abs/1805.12487
https://arxiv.org/pdf/1805.12487.pdf
},
year = {2018},
date = {2018-05-31},
type = {arXiv:1805.12487},
keywords = {2018},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1805.12487
  • https://arxiv.org/pdf/1805.12487.pdf

Close

Understanding and Controlling User Linkability in Decentralized Learning

Tribhuvanesh Orekondy; Seong Joon Oh; Bernt Schiele; Mario Fritz

Understanding and Controlling User Linkability in Decentralized Learning Technical Report

arXiv:1805.05838 [cs.CR], 2018.

Links | BibTeX | Tags: 2018

@techreport{tribhu18arxiv,
title = {Understanding and Controlling User Linkability in Decentralized Learning},
author = {Tribhuvanesh Orekondy and Seong Joon Oh and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/1805.05838
https://arxiv.org/pdf/1805.05838.pdf},
year = {2018},
date = {2018-05-16},
urldate = {2018-05-16},
type = {arXiv:1805.05838 [cs.CR]},
keywords = {2018},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1805.05838
  • https://arxiv.org/pdf/1805.05838.pdf

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A Hybrid Model for Identity Obfuscation by Face Replacement

Qianru Sun; Ayush Tewari; Weipeng Xu; Mario Fritz; Christian Theobalt; Bernt Schiele

A Hybrid Model for Identity Obfuscation by Face Replacement Technical Report

arXiv:1804.04779 [cs.CV], 2018.

Links | BibTeX | Tags: 2018

@techreport{sun18arxiv,
title = {A Hybrid Model for Identity Obfuscation by Face Replacement},
author = {Qianru Sun and Ayush Tewari and Weipeng Xu and Mario Fritz and Christian Theobalt and Bernt Schiele},
url = {https://arxiv.org/abs/1804.04779
https://arxiv.org/pdf/1804.04779.pdf},
year = {2018},
date = {2018-04-13},
urldate = {2018-04-13},
type = {arXiv:1804.04779 [cs.CV]},
keywords = {2018},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1804.04779
  • https://arxiv.org/pdf/1804.04779.pdf

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Deep Appearance Maps

Maxim Maximov; Tobias Ritschel; Mario Fritz

Deep Appearance Maps Technical Report

arXiv:1804.00863 [cs.CV], 2018.

Links | BibTeX | Tags: 2018

@techreport{maximov18arxiv,
title = {Deep Appearance Maps},
author = {Maxim Maximov and Tobias Ritschel and Mario Fritz},
url = {https://arxiv.org/abs/1804.00863
https://arxiv.org/pdf/1804.00863.pdf},
year = {2018},
date = {2018-04-03},
urldate = {2018-04-03},
type = {arXiv:1804.00863 [cs.CV]},
keywords = {2018},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1804.00863
  • https://arxiv.org/pdf/1804.00863.pdf

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2017

Journal Articles

Ask Your Neurons: A Deep Learning Approach to Visual Question Answering

Mateusz Malinowski; Marcus Rohrbach; Mario Fritz

Ask Your Neurons: A Deep Learning Approach to Visual Question Answering Journal Article

In: International Journal of Computer Vision (IJCV), 2017, (to appear).

Links | BibTeX | Tags: 2017

@article{malinowski17ijcv,
title = {Ask Your Neurons: A Deep Learning Approach to Visual Question Answering},
author = {Mateusz Malinowski and Marcus Rohrbach and Mario Fritz},
url = {http://arxiv.org/abs/1605.02697
https://arxiv.org/pdf/1605.02697},
year = {2017},
date = {2017-07-07},
urldate = {2017-07-07},
journal = {International Journal of Computer Vision (IJCV)},
note = {to appear},
keywords = {2017},
pubstate = {published},
tppubtype = {article}
}

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  • http://arxiv.org/abs/1605.02697
  • https://arxiv.org/pdf/1605.02697

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Novel Views of Objects from a Single Image

Konstantinos Rematas; Chuong Nguyen; Tobias Ritschel; Mario Fritz; Tinne Tuytelaars

Novel Views of Objects from a Single Image Journal Article

In: Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.

Links | BibTeX | Tags: 2016, 2017

@article{rematas17tpami,
title = {Novel Views of Objects from a Single Image},
author = {Konstantinos Rematas and Chuong Nguyen and Tobias Ritschel and Mario Fritz and Tinne Tuytelaars},
url = {http://homes.cs.washington.edu/~krematas/ViewSynthesis/
http://arxiv.org/abs/1602.00328
http://arxiv.org/pdf/1602.00328},
year = {2017},
date = {2017-01-01},
urldate = {2017-01-01},
journal = {Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
keywords = {2016, 2017},
pubstate = {published},
tppubtype = {article}
}

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  • http://homes.cs.washington.edu/~krematas/ViewSynthesis/
  • http://arxiv.org/abs/1602.00328
  • http://arxiv.org/pdf/1602.00328

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Proceedings Articles

Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling

Hosnieh Sattar; Andreas Bulling; Mario Fritz

Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling Proceedings Article

In: Mutual Benefits of Cognitive and Computer Vision Workshop at International Conference on Computer Vision (ICCV-W), 2017.

Links | BibTeX | Tags: 2017

@inproceedings{sattar17iccvw,
title = {Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling},
author = {Hosnieh Sattar and Andreas Bulling and Mario Fritz},
url = {https://arxiv.org/abs/1611.10162
https://arxiv.org/pdf/1611.10162.pdf
https://www.youtube.com/watch?v=wPeyK5jkjUU},
year = {2017},
date = {2017-10-30},
urldate = {2017-10-30},
booktitle = {Mutual Benefits of Cognitive and Computer Vision Workshop at International Conference on Computer Vision (ICCV-W)},
keywords = {2017},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/1611.10162
  • https://arxiv.org/pdf/1611.10162.pdf
  • https://www.youtube.com/watch?v=wPeyK5jkjUU

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Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images

Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz

Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images Proceedings Article

In: IEEE International Conference on Computer Vision (ICCV), 2017.

Links | BibTeX | Tags: 2017

@inproceedings{orekondy17iccv,
title = {Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images},
author = {Tribhuvanesh Orekondy and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/1703.10660
https://arxiv.org/pdf/1703.10660.pdf
https://tribhuvanesh.github.io/vpa/},
year = {2017},
date = {2017-10-29},
urldate = {2017-10-29},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
keywords = {2017},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/1703.10660
  • https://arxiv.org/pdf/1703.10660.pdf
  • https://tribhuvanesh.github.io/vpa/

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Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training

Rakshith Shetty; Marcus Rohrbach; Lisa Anne Hendricks; Mario Fritz; Bernt Schiele

Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training Proceedings Article

In: IEEE International Conference on Computer Vision (ICCV), 2017.

Links | BibTeX | Tags: 2017

@inproceedings{rakshith17iccv,
title = {Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training},
author = {Rakshith Shetty and Marcus Rohrbach and Lisa Anne Hendricks and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/1703.10476
https://arxiv.org/pdf/1703.10476.pdf},
year = {2017},
date = {2017-10-28},
urldate = {2017-10-28},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
keywords = {2017},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/1703.10476
  • https://arxiv.org/pdf/1703.10476.pdf

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Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective

Seong Joon Oh; Mario Fritz; Bernt Schiele

Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective Proceedings Article

In: IEEE International Conference on Computer Vision (ICCV), 2017, 2017.

Links | BibTeX | Tags: 2017

@inproceedings{oh17iccv,
title = {Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective},
author = {Seong Joon Oh and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/1703.09471
https://arxiv.org/pdf/1703.09471.pdf},
year = {2017},
date = {2017-10-27},
urldate = {2017-10-27},
booktitle = {IEEE International Conference on Computer Vision (ICCV), 2017},
keywords = {2017},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/1703.09471
  • https://arxiv.org/pdf/1703.09471.pdf

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What Is Around The Camera?

Stamatios Georgoulis; Konstantinos Rematas; Tobias Ritschel; Mario Fritz; Tinne Tuytelaars; Luc Van Gool

What Is Around The Camera? Proceedings Article

In: IEEE International Conference on Computer Vision (ICCV), 2017.

Links | BibTeX | Tags: 2017

@inproceedings{stam17iccv,
title = {What Is Around The Camera?},
author = {Stamatios Georgoulis and Konstantinos Rematas and Tobias Ritschel and Mario Fritz and Tinne Tuytelaars and Luc Van Gool},
url = {https://arxiv.org/abs/1611.09325
https://arxiv.org/pdf/1611.09325.pdf},
year = {2017},
date = {2017-10-26},
urldate = {2017-10-26},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
keywords = {2017},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/1611.09325
  • https://arxiv.org/pdf/1611.09325.pdf

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Learning Dilation Factors for Semantic Segmentation of Street Scenes

Yang He; Margret Keuper; Bernt Schiele; Mario Fritz

Learning Dilation Factors for Semantic Segmentation of Street Scenes Proceedings Article

In: German Conference on Pattern Recognition (GCPR), 2017.

Links | BibTeX | Tags: 2017

@inproceedings{he17gcpr,
title = {Learning Dilation Factors for Semantic Segmentation of Street Scenes},
author = {Yang He and Margret Keuper and Bernt Schiele and Mario Fritz},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/main51.pdf},
year = {2017},
date = {2017-09-13},
urldate = {2017-09-13},
booktitle = {German Conference on Pattern Recognition (GCPR)},
keywords = {2017},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/main51.[...]

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STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling

Yang He; Wei-Chen Chiu; Margret Keuper; Mario Fritz

STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

Links | BibTeX | Tags: 2017

@inproceedings{yang17cvpr,
title = {STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling},
author = {Yang He and Wei-Chen Chiu and Margret Keuper and Mario Fritz},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/cvpr2017.pdf
https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/2002-supp.pdf},
year = {2017},
date = {2017-07-25},
urldate = {2017-07-25},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2017},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/cvpr201[...]
  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/2002-su[...]

Close

A Domain Based Approach to Social Relation Recognition

Qianru Sun; Bernt Schiele; Mario Fritz

A Domain Based Approach to Social Relation Recognition Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

Links | BibTeX | Tags: 2017

@inproceedings{sun17cvpr,
title = {A Domain Based Approach to Social Relation Recognition},
author = {Qianru Sun and Bernt Schiele and Mario Fritz },
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/main_paper.pdf
https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/1289-supp.pdf},
year = {2017},
date = {2017-07-24},
urldate = {2017-07-24},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2017},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/main_pa[...]
  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/1289-su[...]

Close

Exploiting saliency for object segmentation from image level labels

Seong Joon Oh; Rodrigo Benenson; Anna Khoreva; Zeynep Akata; Mario Fritz; Bernt Schiele

Exploiting saliency for object segmentation from image level labels Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

Links | BibTeX | Tags: 2017

@inproceedings{joon17cvpr,
title = {Exploiting saliency for object segmentation from image level labels},
author = {Seong Joon Oh and Rodrigo Benenson and Anna Khoreva and Zeynep Akata and Mario Fritz and Bernt Schiele},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/cvpr2017-1.pdf
https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/1802-supp.pdf},
year = {2017},
date = {2017-07-23},
urldate = {2017-07-23},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2017},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/cvpr201[...]
  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/1802-su[...]

Close

It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation

Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling

It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation Proceedings Article

In: 1st International Workshop on Deep Affective Learning and Context Modeling at Computer Vision and Pattern Recognition Conference (CVPR-W), 2017.

Links | BibTeX | Tags: 2017

@inproceedings{xucong17cvprw,
title = {It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation},
author = {Xucong Zhang and Yusuke Sugano and Mario Fritz and Andreas Bulling},
url = {https://arxiv.org/abs/1611.08860
https://arxiv.org/pdf/1611.08860.pdf},
year = {2017},
date = {2017-07-22},
urldate = {2017-07-22},
booktitle = {1st International Workshop on Deep Affective Learning and Context Modeling at Computer Vision and Pattern Recognition Conference (CVPR-W)},
keywords = {2017},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://arxiv.org/abs/1611.08860
  • https://arxiv.org/pdf/1611.08860.pdf

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Visual Stability Prediction for Robotic Manipulation

Wenbin Li; Ales Leonardis; Mario Fritz

Visual Stability Prediction for Robotic Manipulation Proceedings Article

In: IEEE International Conference on Robotics and Automation (ICRA), 2017, (to appear).

Links | BibTeX | Tags: 2017

@inproceedings{li17icra,
title = {Visual Stability Prediction for Robotic Manipulation},
author = {Wenbin Li and Ales Leonardis and Mario Fritz},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/icra2017-visualstabilitypredictionforroboticmanipulation.pdf},
year = {2017},
date = {2017-05-23},
urldate = {2017-05-23},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
note = {to appear},
keywords = {2017},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/icra201[...]

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Miscellaneous

Long-Term On-Board Prediction of Pedestrians in Traffic Scenes

Apratim Bhattacharyya; Mario Fritz; Bernt Schiele

Long-Term On-Board Prediction of Pedestrians in Traffic Scenes Miscellaneous

Conference on Robot Learning (CoRL), 2017.

Links | BibTeX | Tags: 2017

@misc{apratim17corl,
title = {Long-Term On-Board Prediction of Pedestrians in Traffic Scenes},
author = {Apratim Bhattacharyya and Mario Fritz and Bernt Schiele},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/CoRL2017_final.pdf},
year = {2017},
date = {2017-10-29},
urldate = {2017-10-29},
howpublished = {Conference on Robot Learning (CoRL)},
keywords = {2017},
pubstate = {published},
tppubtype = {misc}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/CoRL201[...]

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From Understanding to Controlling Privacy against Automatic Person Identification in Social Media

Seong Joon Oh; Mario Fritz; Bernt Schiele

From Understanding to Controlling Privacy against Automatic Person Identification in Social Media Miscellaneous

The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS 2017), 2017.

Links | BibTeX | Tags: 2017

@misc{oh17iccvw,
title = {From Understanding to Controlling Privacy against Automatic Person Identification in Social Media},
author = {Seong Joon Oh and Mario Fritz and Bernt Schiele},
url = {http://vision.soic.indiana.edu/bright-and-dark-workshop-2017/From_Understanding_to_Controlling_Privacy_against_Automatic_Person_Recognition_in_Social_Media.pdf},
year = {2017},
date = {2017-07-21},
urldate = {2017-07-21},
howpublished = {The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS 2017)},
keywords = {2017},
pubstate = {published},
tppubtype = {misc}
}

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  • http://vision.soic.indiana.edu/bright-and-dark-workshop-2017/From_Understanding_[...]

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Visual Stability Prediction and Its Application to Manipulation

Wenbin Li; Ales Leonardis; Mario Fritz

Visual Stability Prediction and Its Application to Manipulation Miscellaneous

AAAI Spring Symposium Series: Interactive Multi-Sensory Object Perception for Embodied Agents, 2017.

Links | BibTeX | Tags: 2017

@misc{li16aaai,
title = {Visual Stability Prediction and Its Application to Manipulation},
author = {Wenbin Li and Ales Leonardis and Mario Fritz},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/aaai-visualstabilitymanipulation.pdf
extended version:
https://arxiv.org/abs/1609.04861},
year = {2017},
date = {2017-01-01},
urldate = {2017-01-01},
howpublished = {AAAI Spring Symposium Series: Interactive Multi-Sensory Object Perception for Embodied Agents},
keywords = {2017},
pubstate = {published},
tppubtype = {misc}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/aaai-vi[...]
  • extended version:
  • https://arxiv.org/abs/1609.04861

Close

Technical Reports

Disentangled Person Image Generation

Liqian Ma; Qianru Sun; Stamatios Georgoulis; Luc Van Gool; Bernt Schiele; Mario Fritz

Disentangled Person Image Generation Technical Report

arXiv:1712.02621 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

@techreport{ma17arxiv,
title = {Disentangled Person Image Generation},
author = {Liqian Ma and Qianru Sun and Stamatios Georgoulis and Luc Van Gool and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/1712.02621
https://arxiv.org/pdf/1712.02621.pdf},
year = {2017},
date = {2017-12-08},
urldate = {2017-12-08},
type = {arXiv:1712.02621 [cs.CV]},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1712.02621
  • https://arxiv.org/pdf/1712.02621.pdf

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Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images

Tribhuvanesh Orekondy; Mario Fritz; Bernt Schiele

Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images Technical Report

arXiv:1712.01066 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

@techreport{orekondy17arxiv,
title = {Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images},
author = {Tribhuvanesh Orekondy and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/1712.01066
https://arxiv.org/pdf/1712.01066.pdf},
year = {2017},
date = {2017-12-05},
urldate = {2017-12-05},
type = {arXiv:1712.01066 [cs.CV]},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1712.01066
  • https://arxiv.org/pdf/1712.01066.pdf

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Natural and Effective Obfuscation by Head Inpainting

Qianru Sun; Liqian Ma; Seong Joon Oh; Luc Van Gool; Bernt Schiele; Mario Fritz

Natural and Effective Obfuscation by Head Inpainting Technical Report

arXiv:1711.09001 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

@techreport{sun17arix,
title = {Natural and Effective Obfuscation by Head Inpainting},
author = {Qianru Sun and Liqian Ma and Seong Joon Oh and Luc Van Gool and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/1711.09001
https://arxiv.org/pdf/1711.09001.pdf},
year = {2017},
date = {2017-11-27},
urldate = {2017-11-27},
type = {arXiv:1711.09001 [cs.CV]},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1711.09001
  • https://arxiv.org/pdf/1711.09001.pdf

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Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty

Apratim Bhattacharyya; Mario Fritz; Bernt Schiele

Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty Technical Report

arXiv:1711.09026 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

@techreport{apratim17arxiv,
title = {Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty},
author = {Apratim Bhattacharyya and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/1711.09026
https://arxiv.org/pdf/1711.09026.pdf
},
year = {2017},
date = {2017-11-26},
urldate = {2017-11-26},
type = {arXiv:1711.09026 [cs.CV]},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1711.09026
  • https://arxiv.org/pdf/1711.09026.pdf

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A4NT : Author Attribute Anonymity by Adversarial Training of Neural Machine Translation

Rakshith Shetty; Bernt Schiele; Mario Fritz

A4NT : Author Attribute Anonymity by Adversarial Training of Neural Machine Translation Technical Report

arXiv:1711.01921, 2017.

Links | BibTeX | Tags: 2017

@techreport{rakshith17arxivb,
title = {A4NT : Author Attribute Anonymity by Adversarial Training of Neural Machine Translation},
author = {Rakshith Shetty and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/1711.01921
https://arxiv.org/pdf/1711.01921.pdf},
year = {2017},
date = {2017-11-08},
urldate = {2017-11-08},
type = {arXiv:1711.01921},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1711.01921
  • https://arxiv.org/pdf/1711.01921.pdf

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Whitening Black-Box Neural Networks

Seong Joon Oh; Max Augustin; Bernt Schiele; Mario Fritz

Whitening Black-Box Neural Networks Technical Report

arXiv:1711.01768, 2017.

Links | BibTeX | Tags: 2017

@techreport{oh17arxiv2b,
title = {Whitening Black-Box Neural Networks},
author = {Seong Joon Oh and Max Augustin and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/1711.01768
https://arxiv.org/pdf/1711.01768.pdf},
year = {2017},
date = {2017-11-07},
urldate = {2017-11-07},
type = {arXiv:1711.01768},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1711.01768
  • https://arxiv.org/pdf/1711.01768.pdf

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Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning

Wenbin Li; Jeannette Bohg; Mario Fritz

Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning Technical Report

arXiv:1711.00267, 2017.

Links | BibTeX | Tags: 2017

@techreport{li17arxiv,
title = {Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning},
author = {Wenbin Li and Jeannette Bohg and Mario Fritz},
url = {https://arxiv.org/abs/1711.00267
https://arxiv.org/pdf/1711.00267.pdf},
year = {2017},
date = {2017-11-06},
urldate = {2017-11-06},
type = {arXiv:1711.00267},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1711.00267
  • https://arxiv.org/pdf/1711.00267.pdf

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Person Recognition in Social Media Photos

Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele

Person Recognition in Social Media Photos Technical Report

no. arXiv:1710.03224 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

@techreport{oh07arxiv,
title = {Person Recognition in Social Media Photos},
author = {Seong Joon Oh and Rodrigo Benenson and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/1710.03224
https://arxiv.org/pdf/1710.03224.pdf},
year = {2017},
date = {2017-10-09},
urldate = {2017-10-09},
number = {arXiv:1710.03224 [cs.CV]},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1710.03224
  • https://arxiv.org/pdf/1710.03224.pdf

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Advanced Steel Microstructure Classification by Deep Learning Methods

Seyed Majid Azimi; Dominik Britz; Michael Engstler; Mario Fritz; Frank Muecklich

Advanced Steel Microstructure Classification by Deep Learning Methods Technical Report

arXiv:1706.06480 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

@techreport{azimi17arxiv,
title = {Advanced Steel Microstructure Classification by Deep Learning Methods},
author = {Seyed Majid Azimi and Dominik Britz and Michael Engstler and Mario Fritz and Frank Muecklich},
url = {https://arxiv.org/abs/1706.06480
https://arxiv.org/pdf/1706.06480.pdf},
year = {2017},
date = {2017-06-21},
urldate = {2017-06-21},
type = {arXiv:1706.06480 [cs.CV]},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1706.06480
  • https://arxiv.org/pdf/1706.06480.pdf

Close

Visual Decoding of Targets During Visual Search From Human Eye Fixations

Hosnieh Sattar; Mario Fritz; Andreas Bulling

Visual Decoding of Targets During Visual Search From Human Eye Fixations Technical Report

arXiv:1706.05993 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

@techreport{sattar17arxiv,
title = {Visual Decoding of Targets During Visual Search From Human Eye Fixations},
author = {Hosnieh Sattar and Mario Fritz and Andreas Bulling},
url = {https://arxiv.org/abs/1706.05993
https://arxiv.org/pdf/1706.05993.pdf},
year = {2017},
date = {2017-06-19},
urldate = {2017-06-19},
type = {arXiv:1706.05993 [cs.CV]},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1706.05993
  • https://arxiv.org/pdf/1706.05993.pdf

Close

Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images

Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz

Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images Technical Report

arXiv:1703.10660 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

@techreport{tribhu17arxiv,
title = {Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images},
author = {Tribhuvanesh Orekondy and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/1703.10660
https://arxiv.org/pdf/1703.10660.pdf
},
year = {2017},
date = {2017-04-03},
urldate = {2017-04-03},
type = {arXiv:1703.10660 [cs.CV]},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1703.10660
  • https://arxiv.org/pdf/1703.10660.pdf

Close

Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training

Rakshith Shetty; Marcus Rohrbach; Lisa Anne Hendricks; Mario Fritz; Bernt Schiele

Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training Technical Report

arXiv:1703.10476 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

@techreport{rakshith17arxiv,
title = {Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training},
author = {Rakshith Shetty and Marcus Rohrbach and Lisa Anne Hendricks and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/1703.10476
https://arxiv.org/pdf/1703.10476.pdf},
year = {2017},
date = {2017-03-31},
urldate = {2017-03-31},
type = {arXiv:1703.10476 [cs.CV]},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1703.10476
  • https://arxiv.org/pdf/1703.10476.pdf

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Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective

Seong Joon Oh; Mario Fritz; Bernt Schiele

Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective Technical Report

arXiv:1703.09471 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

@techreport{oh17arxiv2,
title = {Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective},
author = {Seong Joon Oh and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/1703.09471
https://arxiv.org/pdf/1703.09471.pdf},
year = {2017},
date = {2017-03-30},
urldate = {2017-03-30},
type = {arXiv:1703.09471 [cs.CV]},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1703.09471
  • https://arxiv.org/pdf/1703.09471.pdf

Close

Exploiting saliency for object segmentation from image level labels

Seong Joon Oh; Rodrigo Benenson; Anna Khoreva; Zeynep Akata; Mario Fritz; Bernt Schiele

Exploiting saliency for object segmentation from image level labels Technical Report

arXiv:1701.08261 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

@techreport{oh17arxiv,
title = {Exploiting saliency for object segmentation from image level labels},
author = {Seong Joon Oh and Rodrigo Benenson and Anna Khoreva and Zeynep Akata and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/1701.08261
https://arxiv.org/pdf/1701.08261.pdf},
year = {2017},
date = {2017-01-31},
urldate = {2017-01-31},
type = {arXiv:1701.08261 [cs.CV]},
keywords = {2017},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1701.08261
  • https://arxiv.org/pdf/1701.08261.pdf

Close

2016

Proceedings Articles

Faceless Person Recognition; Privacy Implications in Social Media

Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele

Faceless Person Recognition; Privacy Implications in Social Media Proceedings Article

In: European Conference on Computer Vision (ECCV), 2016, (to appear).

Links | BibTeX | Tags: 2016

@inproceedings{joon16eccv,
title = {Faceless Person Recognition; Privacy Implications in Social Media},
author = {Seong Joon Oh and Rodrigo Benenson and Mario Fritz and Bernt Schiele},
url = {https://arxiv.org/abs/1607.08438
https://arxiv.org/pdf/1607.08438v1.pdf
},
year = {2016},
date = {2016-10-11},
booktitle = {European Conference on Computer Vision (ECCV)},
note = {to appear},
keywords = {2016},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/1607.08438
  • https://arxiv.org/pdf/1607.08438v1.pdf

Close

VConv-DAE: Deep Volumetric Shape Learning Without Object Labels

Abhishek Sharma; Oliver Grau; Mario Fritz

VConv-DAE: Deep Volumetric Shape Learning Without Object Labels Proceedings Article

In: Geometry Meets Deep Learning Workshop at European Conference on Computer Vision (ECCV-W), 2016.

Links | BibTeX | Tags: 2016

@inproceedings{sharma16eccvw,
title = {VConv-DAE: Deep Volumetric Shape Learning Without Object Labels},
author = {Abhishek Sharma and Oliver Grau and Mario Fritz},
url = {https://cispa.saarland/group/fritz/vconv-dae-deep-volumetric-shape-learning-without-object-labels/
http://arxiv.org/abs/1604.03755
http://arxiv.org/pdf/1604.03755v3.pdf},
year = {2016},
date = {2016-10-10},
booktitle = {Geometry Meets Deep Learning Workshop at European Conference on Computer Vision (ECCV-W)},
keywords = {2016},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://cispa.saarland/group/fritz/vconv-dae-deep-volumetric-shape-learning-with[...]
  • http://arxiv.org/abs/1604.03755
  • http://arxiv.org/pdf/1604.03755v3.pdf

Close

Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles

Wei-Chen Chiu; Fabio Galasso; Mario Fritz

Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles Proceedings Article

In: Asian Conference on Computer Vision (ACCV), 2016, (to appear).

Links | BibTeX | Tags: 2016

@inproceedings{chiu16accv,
title = {Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles},
author = {Wei-Chen Chiu and Fabio Galasso and Mario Fritz},
url = {https://arxiv.org/abs/1609.00836
https://arxiv.org/pdf/1609.00836v2.pdf},
year = {2016},
date = {2016-10-01},
booktitle = {Asian Conference on Computer Vision (ACCV)},
note = {to appear},
keywords = {2016},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://arxiv.org/abs/1609.00836
  • https://arxiv.org/pdf/1609.00836v2.pdf

Close

Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task

Ashkan Mokarian; Mateusz Malinowski; Mario Fritz

Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task Proceedings Article

In: British Machine Vision Conference (BMVC), 2016, (to appear).

Links | BibTeX | Tags: 2016

@inproceedings{ashkan16bmvc,
title = {Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task},
author = {Ashkan Mokarian and Mateusz Malinowski and Mario Fritz},
url = {http://arxiv.org/abs/1608.02717
http://arxiv.org/pdf/1608.02717v1.pdf
},
year = {2016},
date = {2016-09-19},
booktitle = {British Machine Vision Conference (BMVC)},
note = {to appear},
keywords = {2016},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • http://arxiv.org/abs/1608.02717
  • http://arxiv.org/pdf/1608.02717v1.pdf

Close

Deep Reflectance Maps

Konstantinos Rematas; Tobias Ritschel; Mario Fritz; Efstratios Gavves; Tinne Tuytelaars

Deep Reflectance Maps Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

Links | BibTeX | Tags: 2016

@inproceedings{rematas16cvpr,
title = {Deep Reflectance Maps },
author = {Konstantinos Rematas and Tobias Ritschel and Mario Fritz and Efstratios Gavves and Tinne Tuytelaars},
url = {http://arxiv.org/abs/1511.04384
http://arxiv.org/pdf/1511.04384v1.pdf
http://homes.cs.washington.edu/~krematas/DRM/},
year = {2016},
date = {2016-07-01},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2016},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • http://arxiv.org/abs/1511.04384
  • http://arxiv.org/pdf/1511.04384v1.pdf
  • http://homes.cs.washington.edu/~krematas/DRM/

Close

Multi-Cue Zero-Shot Learning with Strong Supervision

Zeynep Akata; Mateusz Malinowski; Mario Fritz; Bernt Schiele

Multi-Cue Zero-Shot Learning with Strong Supervision Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

Links | BibTeX | Tags: 2016

@inproceedings{akata16cvpr,
title = {Multi-Cue Zero-Shot Learning with Strong Supervision},
author = {Zeynep Akata and Mateusz Malinowski and Mario Fritz and Bernt Schiele},
url = {https://www.mpi-inf.mpg.de/index.php?id=2935
http://arxiv.org/abs/1603.08754
http://arxiv.org/pdf/1603.08754v1.pdf
},
year = {2016},
date = {2016-06-26},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2016},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://www.mpi-inf.mpg.de/index.php?id=2935
  • http://arxiv.org/abs/1603.08754
  • http://arxiv.org/pdf/1603.08754v1.pdf

Close

I-Pic: A Platform for Privacy-Compliant Image Capture

Paarijaat Aditya; Rijurekha Sen; Seong Joon Oh; Rodrigo Benenson; Bobby Bhattacharjee; Peter Druschel; Tongtong Wu; Mario Fritz; Bernt Schiele

I-Pic: A Platform for Privacy-Compliant Image Capture Proceedings Article

In: The 14th International Conference on Mobile Systems, Applications, and Services (MobiSys'16), Singapore, 2016.

Links | BibTeX | Tags: 2016

@inproceedings{aditya-2016-ipic,
title = {I-Pic: A Platform for Privacy-Compliant Image Capture},
author = {Paarijaat Aditya and Rijurekha Sen and Seong Joon Oh and Rodrigo Benenson and Bobby Bhattacharjee and Peter Druschel and Tongtong Wu and Mario Fritz and Bernt Schiele},
url = {https://scalable.mpi-inf.mpg.de/files/2016/05/ipic-mobisys2016.pdf},
year = {2016},
date = {2016-06-25},
booktitle = {The 14th International Conference on Mobile Systems, Applications, and Services (MobiSys'16)},
address = {Singapore},
keywords = {2016},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://scalable.mpi-inf.mpg.de/files/2016/05/ipic-mobisys2016.pdf

Close

Learning to Select Long Track Features for  Structure-From-Motion & Visual SLAM

Jonas Scheer; Mario Fritz; Oliver Grau

Learning to Select Long Track Features for Structure-From-Motion & Visual SLAM Proceedings Article

In: German Conference on Pattern Recognition (GCPR), 2016.

BibTeX | Tags: 2016

@inproceedings{scheer16gcpr,
title = {Learning to Select Long Track Features for Structure-From-Motion & Visual SLAM },
author = {Jonas Scheer and Mario Fritz and Oliver Grau},
year = {2016},
date = {2016-06-25},
booktitle = {German Conference on Pattern Recognition (GCPR)},
keywords = {2016},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

Contextual Media Retrieval Using Natural Language Queries

Sreyasi Nag Chowdhury; Mateusz Malinowski; Andreas Bulling; Mario Fritz

Contextual Media Retrieval Using Natural Language Queries Proceedings Article

In: ACM International Conference on Multimedia Retrieval (ICMR), 2016, (to appear).

Links | BibTeX | Tags: 2016

@inproceedings{sreyasi16icmr,
title = {Contextual Media Retrieval Using Natural Language Queries},
author = {Sreyasi Nag Chowdhury and Mateusz Malinowski and Andreas Bulling and Mario Fritz},
url = {http://arxiv.org/abs/1602.04983
http://arxiv.org/pdf/1602.04983v1.pdf},
year = {2016},
date = {2016-06-06},
booktitle = {ACM International Conference on Multimedia Retrieval (ICMR)},
note = {to appear},
keywords = {2016},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • http://arxiv.org/abs/1602.04983
  • http://arxiv.org/pdf/1602.04983v1.pdf

Close

Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space

Wenbin Li; Mario Fritz

Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space Proceedings Article

In: IEEE Winter Conference on Applications of Computer Vision (WACV), 2016.

Links | BibTeX | Tags: 2016

@inproceedings{li16wacv,
title = {Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space},
author = {Wenbin Li and Mario Fritz},
url = {https://scalable.mpi-inf.mpg.de/files/2016/01/main_wacv.pdf
http://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/research/human-activity-recognition/recognition-of-ongoing-complex-activities-by-sequence-prediction-over-a-hierarchical-label-space/},
year = {2016},
date = {2016-05-07},
booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
keywords = {2016},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://scalable.mpi-inf.mpg.de/files/2016/01/main_wacv.pdf
  • http://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/r[...]

Close

Miscellaneous

Visual Stability Prediction and Its Application to Manipulation

Wenbin Li; Ales Leonardis; Mario Fritz

Visual Stability Prediction and Its Application to Manipulation Miscellaneous

NIPS Workshop on Intuitive Physics, 2016.

Links | BibTeX | Tags: 2016

@misc{li16nipsw,
title = {Visual Stability Prediction and Its Application to Manipulation},
author = {Wenbin Li and Ales Leonardis and Mario Fritz},
url = {https://scalable.mpi-inf.mpg.de/files/2016/11/ExtendedAbtract_VisualStabilityToManipulation.pdf
extended version:
https://arxiv.org/abs/1609.04861},
year = {2016},
date = {2016-11-29},
urldate = {2016-11-29},
howpublished = {NIPS Workshop on Intuitive Physics},
keywords = {2016},
pubstate = {published},
tppubtype = {misc}
}

Close

  • https://scalable.mpi-inf.mpg.de/files/2016/11/ExtendedAbtract_VisualStabilityToM[...]
  • extended version:
  • https://arxiv.org/abs/1609.04861

Close

Long Term Boundary Extrapolation for Deterministic Motion

Apratim Bhattacharyya; Mateusz Malinowski; Mario Fritz

Long Term Boundary Extrapolation for Deterministic Motion Miscellaneous

NIPS Workshop on Intuitive Physics, 2016.

Links | BibTeX | Tags: 2016

@misc{apratim16nipsw,
title = {Long Term Boundary Extrapolation for Deterministic Motion},
author = {Apratim Bhattacharyya and Mateusz Malinowski and Mario Fritz},
url = {https://scalable.mpi-inf.mpg.de/files/2016/11/NIPS.pdf
extended version:
https://arxiv.org/abs/1611.08841},
year = {2016},
date = {2016-11-29},
howpublished = {NIPS Workshop on Intuitive Physics},
keywords = {2016},
pubstate = {published},
tppubtype = {misc}
}

Close

  • https://scalable.mpi-inf.mpg.de/files/2016/11/NIPS.pdf
  • extended version:
  • https://arxiv.org/abs/1611.08841

Close

Faceless Person Recognition; Privacy Implications in Social Media

Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele

Faceless Person Recognition; Privacy Implications in Social Media Miscellaneous

4th Workshop on Web-scale Vision and Social Media (VSM), ECCV'16, 2016.

Links | BibTeX | Tags: 2016

@misc{joon16eccv-w,
title = {Faceless Person Recognition; Privacy Implications in Social Media},
author = {Seong Joon Oh and Rodrigo Benenson and Mario Fritz and Bernt Schiele},
url = {https://scalable.mpi-inf.mpg.de/files/2016/10/16.pdf},
year = {2016},
date = {2016-10-10},
howpublished = {4th Workshop on Web-scale Vision and Social Media (VSM), ECCV'16},
keywords = {2016},
pubstate = {published},
tppubtype = {misc}
}

Close

  • https://scalable.mpi-inf.mpg.de/files/2016/10/16.pdf

Close

Ask Your Neurons Again: Analysis of Deep Methods with Global Image Representation

Mateusz Malinowski; Mario Fritz

Ask Your Neurons Again: Analysis of Deep Methods with Global Image Representation Miscellaneous

VQA Challenge Workshop at CVPR, 2016.

Abstract | Links | BibTeX | Tags: 2016

@misc{malinowski16vqa,
title = {Ask Your Neurons Again: Analysis of Deep Methods with Global Image Representation},
author = {Mateusz Malinowski and Mario Fritz},
url = {https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/research/vision-and-language/visual-turing-challenge/
},
year = {2016},
date = {2016-01-01},
urldate = {2016-01-01},
booktitle = {VQA Challenge Workshop at CVPR},
abstract = {We are addressing an open-ended question answering task about real-world images. With the help of currently available methods developed in Computer Vision and Natural Language Processing, we would like to push an architecture with a global visual representation to its limits. In our contribution, we show how to achieve competitive performance on VQA with global visual features (Residual Net) together with a carefully desgined architecture.},
howpublished = {VQA Challenge Workshop at CVPR},
keywords = {2016},
pubstate = {published},
tppubtype = {misc}
}

Close

We are addressing an open-ended question answering task about real-world images. With the help of currently available methods developed in Computer Vision and Natural Language Processing, we would like to push an architecture with a global visual representation to its limits. In our contribution, we show how to achieve competitive performance on VQA with global visual features (Residual Net) together with a carefully desgined architecture.

Close

  • https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/[...]

Close

PhD Theses

Bayesian Non-Parametrics for Multi-Modal Segmentation

Wei-Chen Chiu

Bayesian Non-Parametrics for Multi-Modal Segmentation PhD Thesis

2016.

Links | BibTeX | Tags: 2016

@phdthesis{chiu16phd,
title = {Bayesian Non-Parametrics for Multi-Modal Segmentation},
author = {Wei-Chen Chiu},
url = {http://scidok.sulb.uni-saarland.de/volltexte/2016/6637/pdf/walon_thesis.pdf},
year = {2016},
date = {2016-09-13},
keywords = {2016},
pubstate = {published},
tppubtype = {phdthesis}
}

Close

  • http://scidok.sulb.uni-saarland.de/volltexte/2016/6637/pdf/walon_thesis.pdf

Close

Technical Reports

Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling

Hosnieh Sattar; Andreas Bulling; Mario Fritz

Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling Technical Report

arXiv:1611.10162 [cs.CV], 2016.

Links | BibTeX | Tags: 2016, 2017

@techreport{sattar16arxiv,
title = {Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling},
author = {Hosnieh Sattar and Andreas Bulling and Mario Fritz},
url = {https://arxiv.org/abs/1611.10162
https://arxiv.org/pdf/1611.10162.pdf},
year = {2016},
date = {2016-12-01},
urldate = {2016-12-01},
type = {arXiv:1611.10162 [cs.CV]},
keywords = {2016, 2017},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1611.10162
  • https://arxiv.org/pdf/1611.10162.pdf

Close

Long-Term Image Boundary Extrapolation

Apratim Bhattacharyya; Mateusz Malinowski; Bernt Schiele; Mario Fritz

Long-Term Image Boundary Extrapolation Technical Report

arXiv:1611.08841 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

@techreport{apratim16ariv,
title = {Long-Term Image Boundary Extrapolation},
author = {Apratim Bhattacharyya and Mateusz Malinowski and Bernt Schiele and Mario Fritz},
url = {https://arxiv.org/abs/1611.08841
https://arxiv.org/pdf/1611.08841.pdf},
year = {2016},
date = {2016-11-29},
type = {arXiv:1611.08841 [cs.CV]},
keywords = {2016},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1611.08841
  • https://arxiv.org/pdf/1611.08841.pdf

Close

Natural Illumination from Multiple Materials Using Deep Learning

Stamatios Georgoulis; Konstantinos Rematas; Tobias Ritschel; Mario Fritz; Tinne Tuytelaars; Luc Van Gool

Natural Illumination from Multiple Materials Using Deep Learning Technical Report

arXiv:1611.09325 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

@techreport{georgoulis16arxiv,
title = {Natural Illumination from Multiple Materials Using Deep Learning},
author = {Stamatios Georgoulis and Konstantinos Rematas and Tobias Ritschel and Mario Fritz and Tinne Tuytelaars and Luc Van Gool},
url = {http://homes.esat.kuleuven.be/~sgeorgou/multinatillum/
https://arxiv.org/abs/1611.09325
https://arxiv.org/pdf/1611.09325.pdf},
year = {2016},
date = {2016-11-29},
type = {arXiv:1611.09325 [cs.CV]},
keywords = {2016},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://homes.esat.kuleuven.be/~sgeorgou/multinatillum/
  • https://arxiv.org/abs/1611.09325
  • https://arxiv.org/pdf/1611.09325.pdf

Close

It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation

Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling

It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation Technical Report

arXiv:1611.08860 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

@techreport{xucong16arxiv,
title = {It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation},
author = {Xucong Zhang and Yusuke Sugano and Mario Fritz and Andreas Bulling},
url = {https://arxiv.org/abs/1611.08860
https://arxiv.org/pdf/1611.08860.pdf},
year = {2016},
date = {2016-11-29},
urldate = {2016-11-29},
type = {arXiv:1611.08860 [cs.CV]},
keywords = {2016},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1611.08860
  • https://arxiv.org/pdf/1611.08860.pdf

Close

Tutorial on Answering Questions about Images with Deep Learning

Mateusz Malinowski; Mario Fritz

Tutorial on Answering Questions about Images with Deep Learning Technical Report

arXiv:1610.01076 [cs.CV], 2016, (Tutorial given at 2nd Summer School on Integrating Vision and Language: Deep Learning).

Links | BibTeX | Tags: 2016

@techreport{malinowski16tutorial,
title = {Tutorial on Answering Questions about Images with Deep Learning},
author = {Mateusz Malinowski and Mario Fritz},
url = {https://arxiv.org/abs/1610.01076
https://arxiv.org/pdf/1610.01076.pdf},
year = {2016},
date = {2016-10-04},
type = {arXiv:1610.01076 [cs.CV]},
note = {Tutorial given at 2nd Summer School on Integrating Vision and Language: Deep Learning},
keywords = {2016},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1610.01076
  • https://arxiv.org/pdf/1610.01076.pdf

Close

Visual Stability Prediction and Its Application to Manipulation

Wenbin Li; Ales Leonardis; Mario Fritz

Visual Stability Prediction and Its Application to Manipulation Technical Report

arXiv:1609.04861 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

@techreport{li16arxivb,
title = {Visual Stability Prediction and Its Application to Manipulation},
author = {Wenbin Li and Ales Leonardis and Mario Fritz},
url = {https://arxiv.org/abs/1609.04861
https://arxiv.org/pdf/1609.04861.pdf},
year = {2016},
date = {2016-09-15},
urldate = {2016-09-15},
type = {arXiv:1609.04861 [cs.CV]},
keywords = {2016},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://arxiv.org/abs/1609.04861
  • https://arxiv.org/pdf/1609.04861.pdf

Close

Spatio-Temporal Image Boundary Extrapolation

Apratim Bhattacharyya; Mateusz Malinowski; Mario Fritz

Spatio-Temporal Image Boundary Extrapolation Technical Report

arXiv:1605.07363 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

@techreport{bhattacharyya16arxiv,
title = {Spatio-Temporal Image Boundary Extrapolation},
author = {Apratim Bhattacharyya and Mateusz Malinowski and Mario Fritz},
url = {http://arxiv.org/abs/1605.07363
http://arxiv.org/pdf/1605.07363.pdf},
year = {2016},
date = {2016-05-25},
type = {arXiv:1605.07363 [cs.CV]},
keywords = {2016},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://arxiv.org/abs/1605.07363
  • http://arxiv.org/pdf/1605.07363.pdf

Close

Ask Your Neurons: A Deep Learning Approach to Visual Question Answering

Mateusz Malinowski; Marcus Rohrbach; Mario Fritz

Ask Your Neurons: A Deep Learning Approach to Visual Question Answering Technical Report

arXiv:1605.02697 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

@techreport{malinowski16arxiv,
title = {Ask Your Neurons: A Deep Learning Approach to Visual Question Answering},
author = {Mateusz Malinowski and Marcus Rohrbach and Mario Fritz},
url = {http://arxiv.org/abs/1605.02697
https://arxiv.org/pdf/1605.02697},
year = {2016},
date = {2016-05-10},
urldate = {2016-05-10},
journal = {arXiv:1605.02697 [cs.CV]},
type = {arXiv:1605.02697 [cs.CV]},
keywords = {2016},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://arxiv.org/abs/1605.02697
  • https://arxiv.org/pdf/1605.02697

Close

VConv-DAE: Deep Volumetric Shape Learning Without Object Labels

Abhishek Sharma; Oliver Grau; Mario Fritz

VConv-DAE: Deep Volumetric Shape Learning Without Object Labels Technical Report

arXiv:1604.03755 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

@techreport{sharma16arxiv,
title = {VConv-DAE: Deep Volumetric Shape Learning Without Object Labels},
author = {Abhishek Sharma and Oliver Grau and Mario Fritz},
url = {https://cispa.saarland/group/fritz/vconv-dae-deep-volumetric-shape-learning-without-object-labels/
http://arxiv.org/abs/1604.03755
http://arxiv.org/pdf/1604.03755.pdf},
year = {2016},
date = {2016-04-14},
type = {arXiv:1604.03755 [cs.CV]},
keywords = {2016},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://cispa.saarland/group/fritz/vconv-dae-deep-volumetric-shape-learning-with[...]
  • http://arxiv.org/abs/1604.03755
  • http://arxiv.org/pdf/1604.03755.pdf

Close

RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling

Yang He; Wei-Chen Chiu; Margret Keuper; Mario Fritz

RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling Technical Report

arXiv:1604.02388 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

@techreport{he16arxiv,
title = {RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling},
author = {Yang He and Wei-Chen Chiu and Margret Keuper and Mario Fritz},
url = {http://arxiv.org/abs/1604.02388
http://arxiv.org/pdf/1604.02388.pdf
},
year = {2016},
date = {2016-04-11},
type = { arXiv:1604.02388 [cs.CV]},
keywords = {2016},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://arxiv.org/abs/1604.02388
  • http://arxiv.org/pdf/1604.02388.pdf

Close

To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction

Wenbin Li; Seyedmajid Azimi; Ales Leonardis; Mario Fritz

To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction Technical Report

arXiv:1604.00066 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

@techreport{li16arxiv,
title = {To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction},
author = {Wenbin Li and Seyedmajid Azimi and Ales Leonardis and Mario Fritz},
url = {http://arxiv.org/abs/1604.00066
http://arxiv.org/pdf/1604.00066.pdf},
year = {2016},
date = {2016-04-04},
type = {arXiv:1604.00066 [cs.CV]},
keywords = {2016},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://arxiv.org/abs/1604.00066
  • http://arxiv.org/pdf/1604.00066.pdf

Close

DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination

Stamatios Georgoulis; Konstantinos Rematas; Tobias Ritschel; Mario Fritz; Luc Van Gool; Tinne Tuytelaars

DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination Technical Report

arXiv:1602.00328 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

@techreport{RematasArxiv2016,
title = {DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination},
author = {Stamatios Georgoulis and Konstantinos Rematas and Tobias Ritschel and Mario Fritz and Luc Van Gool and Tinne Tuytelaars},
url = {http://homes.esat.kuleuven.be/~sgeorgou/DeLight/
http://arxiv.org/abs/1603.08240
http://arxiv.org/pdf/1603.08240.pdf},
year = {2016},
date = {2016-03-30},
type = {arXiv:1602.00328 [cs.CV]},
keywords = {2016},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://homes.esat.kuleuven.be/~sgeorgou/DeLight/
  • http://arxiv.org/abs/1603.08240
  • http://arxiv.org/pdf/1603.08240.pdf

Close

Multi-Cue Zero-Shot Learning with Strong Supervision

Zeynep Akata; Mateusz Malinowski; Mario Fritz; Bernt Schiele

Multi-Cue Zero-Shot Learning with Strong Supervision Technical Report

arXiv:1603.08754 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

@techreport{zeynep16arxiv,
title = {Multi-Cue Zero-Shot Learning with Strong Supervision},
author = {Zeynep Akata and Mateusz Malinowski and Mario Fritz and Bernt Schiele
},
url = {https://www.mpi-inf.mpg.de/index.php?id=2935
http://arxiv.org/abs/1603.08754
http://arxiv.org/pdf/1603.08754.pdf
},
year = {2016},
date = {2016-03-29},
type = {arXiv:1603.08754 [cs.CV]},
keywords = {2016},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://www.mpi-inf.mpg.de/index.php?id=2935
  • http://arxiv.org/abs/1603.08754
  • http://arxiv.org/pdf/1603.08754.pdf

Close

Novel Views of Objects from a Single Image

Konstantinos Rematas; Chuong Nguyen; Tobias Ritschel; Mario Fritz; Tinne Tuytelaars

Novel Views of Objects from a Single Image Technical Report

arXiv:1602.00328 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

@techreport{rematas16arxiv,
title = {Novel Views of Objects from a Single Image},
author = {Konstantinos Rematas and Chuong Nguyen and Tobias Ritschel and Mario Fritz and Tinne Tuytelaars},
url = {http://homes.esat.kuleuven.be/~krematas/ViewSynthesis/
http://arxiv.org/abs/1602.00328
http://arxiv.org/pdf/1602.00328v1.pdf},
year = {2016},
date = {2016-02-01},
urldate = {2016-02-01},
type = {arXiv:1602.00328 [cs.CV]},
keywords = {2016},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://homes.esat.kuleuven.be/~krematas/ViewSynthesis/
  • http://arxiv.org/abs/1602.00328
  • http://arxiv.org/pdf/1602.00328v1.pdf

Close

Contextual Media Retrieval Using Natural Language Queries

Sreyasi Nag Chowdhury; Mateusz Malinowski; Andreas Bulling; Mario Fritz

Contextual Media Retrieval Using Natural Language Queries Technical Report

arXiv:1602.04983 [cs.IR], 2016.

Links | BibTeX | Tags: 2016

@techreport{sreyasi16arxiv,
title = {Contextual Media Retrieval Using Natural Language Queries},
author = {Sreyasi Nag Chowdhury and Mateusz Malinowski and Andreas Bulling and Mario Fritz},
url = {http://arxiv.org/abs/1602.04983
http://arxiv.org/pdf/1602.04983v1.pdf},
year = {2016},
date = {2016-02-01},
type = {arXiv:1602.04983 [cs.IR]},
keywords = {2016},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://arxiv.org/abs/1602.04983
  • http://arxiv.org/pdf/1602.04983v1.pdf

Close

2015

Journal Articles

Learning to detect visual grasp affordance

Hyun Oh Song; Mario Fritz; Daniel Goehring; Trevor Darrell

Learning to detect visual grasp affordance Journal Article

In: IEEE Transactions on Automation Science and Engineering (TASE), 2015.

Links | BibTeX | Tags: 2015

@article{song15tase,
title = {Learning to detect visual grasp affordance},
author = {Hyun Oh Song and Mario Fritz and Daniel Goehring and Trevor Darrell},
url = {https://scalable.mpi-inf.mpg.de/files/2015/02/main_tase.pdf
https://www.youtube.com/watch?v=C3HU1Tb5hF4},
year = {2015},
date = {2015-03-01},
journal = {IEEE Transactions on Automation Science and Engineering (TASE)},
keywords = {2015},
pubstate = {published},
tppubtype = {article}
}

Close

  • https://scalable.mpi-inf.mpg.de/files/2015/02/main_tase.pdf
  • https://www.youtube.com/watch?v=C3HU1Tb5hF4

Close

Proceedings Articles

Ask Your Neurons: A Neural-based Approach to Answering Questions about Images

Mateusz Malinowski; Marcus Rohrbach; Mario Fritz

Ask Your Neurons: A Neural-based Approach to Answering Questions about Images Proceedings Article

In: IEEE International Conference on Computer Vision (ICCV), 2015, (oral).

Links | BibTeX | Tags: 2015

@inproceedings{malinowski15iccv,
title = {Ask Your Neurons: A Neural-based Approach to Answering Questions about Images},
author = {Mateusz Malinowski and Marcus Rohrbach and Mario Fritz},
url = {preliminary version:
http://arxiv.org/abs/1505.01121
http://arxiv.org/pdf/1505.01121.pdf
http://www.d2.mpi-inf.mpg.de/visual-turing-challenge
please cite IJCV version: Ask Your Neurons: A Deep Learning Approach to Visual Question Answering},
year = {2015},
date = {2015-12-03},
urldate = {2015-12-03},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
note = {oral},
keywords = {2015},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • preliminary version:
  • http://arxiv.org/abs/1505.01121
  • http://arxiv.org/pdf/1505.01121.pdf
  • http://www.d2.mpi-inf.mpg.de/visual-turing-challenge
  • please cite IJCV version: Ask Your Neurons: A Deep Learning Approach to Visual Q[...]

Close

See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG

Wei-Chen Chiu; Mario Fritz

See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG Proceedings Article

In: IEEE International Conference on Computer Vision (ICCV), 2015.

Links | BibTeX | Tags: 2015

@inproceedings{chiu15iccv,
title = {See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG},
author = {Wei-Chen Chiu and Mario Fritz},
url = {https://sites.google.com/site/walonchiu/projects/diffhog
http://arxiv.org/abs/1505.00663
http://arxiv.org/pdf/1505.00663v4.pdf
},
year = {2015},
date = {2015-12-02},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
keywords = {2015},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://sites.google.com/site/walonchiu/projects/diffhog
  • http://arxiv.org/abs/1505.00663
  • http://arxiv.org/pdf/1505.00663v4.pdf

Close

Person Recognition in Personal Photo Collections

Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele

Person Recognition in Personal Photo Collections Proceedings Article

In: IEEE International Conference on Computer Vision (ICCV), 2015.

Links | BibTeX | Tags: 2015

@inproceedings{oh15iccv,
title = {Person Recognition in Personal Photo Collections},
author = {Seong Joon Oh and Rodrigo Benenson and Mario Fritz and Bernt Schiele},
url = {http://arxiv.org/abs/1509.03502
https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/research/people-detection-pose-estimation-and-tracking/person-recognition-in-personal-photo-collections/
},
year = {2015},
date = {2015-12-01},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
keywords = {2015},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • http://arxiv.org/abs/1509.03502
  • https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/[...]

Close

Teaching Robots the Use of Human Tools from Demonstration with Non-Dexterous End-Effectors

Wenbin Li; Mario Fritz

Teaching Robots the Use of Human Tools from Demonstration with Non-Dexterous End-Effectors Proceedings Article

In: IEEE RAS International Conference on Humanoid Robots (HUMANOIDS), 2015, (to appear).

Links | BibTeX | Tags: 2015

@inproceedings{li15humanoids,
title = {Teaching Robots the Use of Human Tools from Demonstration with Non-Dexterous End-Effectors},
author = {Wenbin Li and Mario Fritz},
url = {https://scalable.mpi-inf.mpg.de/files/2015/10/main.pdf},
year = {2015},
date = {2015-11-03},
booktitle = {IEEE RAS International Conference on Humanoid Robots (HUMANOIDS)},
note = {to appear},
keywords = {2015},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://scalable.mpi-inf.mpg.de/files/2015/10/main.pdf

Close

 Appearance-based gaze estimation in the wild

Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling

Appearance-based gaze estimation in the wild Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

Links | BibTeX | Tags: 2015

@inproceedings{xucong15cvpr,
title = { Appearance-based gaze estimation in the wild},
author = {Xucong Zhang and Yusuke Sugano and Mario Fritz and Andreas Bulling},
url = {https://scalable.mpi-inf.mpg.de/files/2015/09/zhang_CVPR15.pdf},
year = {2015},
date = {2015-08-02},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2015},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://scalable.mpi-inf.mpg.de/files/2015/09/zhang_CVPR15.pdf

Close

Prediction of search targets from fixations in open-world settings

Hosnieh Sattar; Sabine Müller; Mario Fritz; Andreas Bulling

Prediction of search targets from fixations in open-world settings Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

Links | BibTeX | Tags: 2015

@inproceedings{sattar15cvpr,
title = {Prediction of search targets from fixations in open-world settings},
author = {Hosnieh Sattar and Sabine Müller and Mario Fritz and Andreas Bulling},
url = {https://scalable.mpi-inf.mpg.de/files/2015/09/sattar15_cvpr.pdf},
year = {2015},
date = {2015-08-01},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {2015},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://scalable.mpi-inf.mpg.de/files/2015/09/sattar15_cvpr.pdf

Close

Joint Segmentation and Activity Discovery using Semantic and Temporal Priors

Julia Seiter; Wei-Chen Chiu; Mario Fritz; Oliver Amft; Gerhard Troester

Joint Segmentation and Activity Discovery using Semantic and Temporal Priors Proceedings Article

In: IEEE Internation Conference on Pervasive Computing and Communication (PERCOM), 2015.

Links | BibTeX | Tags: 2014

@inproceedings{seiter15percom,
title = {Joint Segmentation and Activity Discovery using Semantic and Temporal Priors},
author = {Julia Seiter and Wei-Chen Chiu and Mario Fritz and Oliver Amft and Gerhard Troester},
url = {https://scalable.mpi-inf.mpg.de/files/2015/02/PID3540259.pdf},
year = {2015},
date = {2015-03-23},
booktitle = {IEEE Internation Conference on Pervasive Computing and Communication (PERCOM)},
keywords = {2014},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://scalable.mpi-inf.mpg.de/files/2015/02/PID3540259.pdf

Close

Hard to Cheat: A Turing Test based on Answering Questions about Images

Mateusz Malinowski; Mario Fritz

Hard to Cheat: A Turing Test based on Answering Questions about Images Proceedings Article

In: AAAI Workshop Beyond The Turing Test, 2015.

Links | BibTeX | Tags: 2015

@inproceedings{malinowski15aaai,
title = {Hard to Cheat: A Turing Test based on Answering Questions about Images},
author = {Mateusz Malinowski and Mario Fritz},
url = {http://arxiv.org/abs/1501.03302
http://www.d2.mpi-inf.mpg.de/visual-turing-challenge},
year = {2015},
date = {2015-01-30},
booktitle = {AAAI Workshop Beyond The Turing Test},
keywords = {2015},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • http://arxiv.org/abs/1501.03302
  • http://www.d2.mpi-inf.mpg.de/visual-turing-challenge

Close

Masters Theses

Contextual Media Retrieval Using Natural Language Queries

Sreyasi Nag Chowdhury

Contextual Media Retrieval Using Natural Language Queries Masters Thesis

Saarland University, 2015.

BibTeX | Tags: 2015

@mastersthesis{chowdhury15master,
title = {Contextual Media Retrieval Using Natural Language Queries},
author = {Sreyasi Nag Chowdhury},
year = {2015},
date = {2015-01-16},
school = {Saarland University},
keywords = {2015},
pubstate = {published},
tppubtype = {mastersthesis}
}

Close

Miscellaneous

Bridging the Gap Between Synthetic and Real Data

Mario Fritz

Bridging the Gap Between Synthetic and Real Data Miscellaneous

Machine Learning with Interdependent and Non-identically Distributed Data (Dagstuhl Seminar 15152), 2015, (to appear).

Links | BibTeX | Tags: 2015

@misc{fritz15dagstuhl,
title = {Bridging the Gap Between Synthetic and Real Data},
author = {Mario Fritz},
editor = {Trevor Darrell and Marius Kloft and Massimiliano Pontil and Gunnar Rätsch},
url = {https://scalable.mpi-inf.mpg.de/files/2015/09/mario_fritz.pdf},
year = {2015},
date = {2015-09-30},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
howpublished = {Machine Learning with Interdependent and Non-identically Distributed Data (Dagstuhl Seminar 15152)},
note = {to appear},
keywords = {2015},
pubstate = {published},
tppubtype = {misc}
}

Close

  • https://scalable.mpi-inf.mpg.de/files/2015/09/mario_fritz.pdf

Close

Technical Reports

Deep Reflectance Maps

Konstantinos Rematas; Tobias Ritschel; Mario Fritz; Efstratios Gavves; Tinne Tuytelaars

Deep Reflectance Maps Technical Report

arXiv:1511.04384 [cs.CV], 2015.

Links | BibTeX | Tags: 2015

@techreport{kostas15arxiv,
title = {Deep Reflectance Maps},
author = {Konstantinos Rematas and Tobias Ritschel and Mario Fritz and Efstratios Gavves and Tinne Tuytelaars},
url = {http://arxiv.org/abs/1511.04384
http://arxiv.org/pdf/1511.04384.pdf
http://homes.cs.washington.edu/~krematas/DRM/},
year = {2015},
date = {2015-11-16},
type = {arXiv:1511.04384 [cs.CV]},
keywords = {2015},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://arxiv.org/abs/1511.04384
  • http://arxiv.org/pdf/1511.04384.pdf
  • http://homes.cs.washington.edu/~krematas/DRM/

Close

Person Recognition in Personal Photo Collections

Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele

Person Recognition in Personal Photo Collections Technical Report

arXiv:1509.03502 [cs.CV], 2015.

Links | BibTeX | Tags: 2015

@techreport{oh15arxiv,
title = {Person Recognition in Personal Photo Collections},
author = {Seong Joon Oh and Rodrigo Benenson and Mario Fritz and Bernt Schiele}},
url = {http://arxiv.org/abs/1509.03502
http://arxiv.org/pdf/1509.03502v1.pdf},
year = {2015},
date = {2015-09-15},
type = {arXiv:1509.03502 [cs.CV]},
keywords = {2015},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://arxiv.org/abs/1509.03502
  • http://arxiv.org/pdf/1509.03502v1.pdf

Close

 Appearance-based gaze estimation in the wild

Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling

Appearance-based gaze estimation in the wild Technical Report

arXiv:1504.02863, 2015.

Links | BibTeX | Tags: 2015

@techreport{xucong15arxiv,
title = { Appearance-based gaze estimation in the wild},
author = {Xucong Zhang and Yusuke Sugano and Mario Fritz and Andreas Bulling},
url = {http://arxiv.org/abs/1504.02863
http://arxiv.org/pdf/1504.02863v1.pdf},
year = {2015},
date = {2015-07-16},
type = {arXiv:1504.02863},
keywords = {2015},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://arxiv.org/abs/1504.02863
  • http://arxiv.org/pdf/1504.02863v1.pdf

Close

Prediction of search targets from fixations in open-world settings

Hosnieh Sattar; Sabine Müller; Mario Fritz; Andreas Bulling

Prediction of search targets from fixations in open-world settings Technical Report

arXiv:1502.05137 [cs.CV], 2015.

Links | BibTeX | Tags: 2015

@techreport{sattar15arxiv,
title = {Prediction of search targets from fixations in open-world settings},
author = {Hosnieh Sattar and Sabine Müller and Mario Fritz and Andreas Bulling},
url = {http://arxiv.org/abs/1502.05137
http://arxiv.org/pdf/1502.05137v3.pdf},
year = {2015},
date = {2015-07-15},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
type = {arXiv:1502.05137 [cs.CV]},
keywords = {2015},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://arxiv.org/abs/1502.05137
  • http://arxiv.org/pdf/1502.05137v3.pdf

Close

Ask Your Neurons: A Neural-based Approach to Answering Questions about Images

Mateusz Malinowski; Marcus Rohrbach; Mario Fritz

Ask Your Neurons: A Neural-based Approach to Answering Questions about Images Technical Report

arXiv:1505.01121, 2015.

Links | BibTeX | Tags: 2015

@techreport{malinowski15arxiv,
title = {Ask Your Neurons: A Neural-based Approach to Answering Questions about Images},
author = {Mateusz Malinowski and Marcus Rohrbach and Mario Fritz},
url = {http://arxiv.org/abs/1505.01121
http://arxiv.org/pdf/1505.01121.pdf
http://www.d2.mpi-inf.mpg.de/visual-turing-challenge},
year = {2015},
date = {2015-05-06},
urldate = {2015-05-06},
type = {arXiv:1505.01121},
keywords = {2015},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://arxiv.org/abs/1505.01121
  • http://arxiv.org/pdf/1505.01121.pdf
  • http://www.d2.mpi-inf.mpg.de/visual-turing-challenge

Close

See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG

Wei-Chen Chiu; Mario Fritz

See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG Technical Report

arXiv:1505.00663 [cs.CV], 2015.

Links | BibTeX | Tags: 2015

@techreport{chiu15arxiv_hog,
title = {See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG},
author = {Wei-Chen Chiu and Mario Fritz},
url = {https://sites.google.com/site/walonchiu/projects/diffhog
http://arxiv.org/abs/1505.00663
http://arxiv.org/pdf/1505.00663v4.pdf},
year = {2015},
date = {2015-05-05},
type = {arXiv:1505.00663 [cs.CV]},
keywords = {2015},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • https://sites.google.com/site/walonchiu/projects/diffhog
  • http://arxiv.org/abs/1505.00663
  • http://arxiv.org/pdf/1505.00663v4.pdf

Close

GazeDPM: Early Integration of Gaze Information in Deformable Part Models

Iaroslav Shcherbatyi; Andreas Bulling; Mario Fritz

GazeDPM: Early Integration of Gaze Information in Deformable Part Models Technical Report

arXiv:1505.05753 [cs.CV], 2015.

Links | BibTeX | Tags: 2015

@techreport{Shcherbatyi15arxiv,
title = {GazeDPM: Early Integration of Gaze Information in Deformable Part Models},
author = {Iaroslav Shcherbatyi and Andreas Bulling and Mario Fritz},
url = {http://arxiv.org/abs/1505.05753
http://arxiv.org/pdf/1505.05753v1.pdf},
year = {2015},
date = {2015-05-05},
type = {arXiv:1505.05753 [cs.CV]},
keywords = {2015},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://arxiv.org/abs/1505.05753
  • http://arxiv.org/pdf/1505.05753v1.pdf

Close

2014

Proceedings Articles

A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input

Mateusz Malinowski; Mario Fritz

A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input Proceedings Article

In: Neural Information Processing Systems (NIPS), 2014.

Links | BibTeX | Tags: 2014

@inproceedings{malinowski14nips,
title = {A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input},
author = {Mateusz Malinowski and Mario Fritz},
url = {http://papers.nips.cc/paper/5411-a-multi-world-approach-to-question-answering-about-real-world-scenes-based-on-uncertain-input.pdf
http://www.d2.mpi-inf.mpg.de/visual-turing-challenge},
year = {2014},
date = {2014-12-26},
booktitle = {Neural Information Processing Systems (NIPS)},
keywords = {2014},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • http://papers.nips.cc/paper/5411-a-multi-world-approach-to-question-answering-ab[...]
  • http://www.d2.mpi-inf.mpg.de/visual-turing-challenge

Close

Anytime Recognition of Objects and Scenes

Sergey Karayev; Mario Fritz; Trevor Darrell

Anytime Recognition of Objects and Scenes Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014, (oral).

Links | BibTeX | Tags: 2014

@inproceedings{karayev14cvpr,
title = {Anytime Recognition of Objects and Scenes},
author = {Sergey Karayev and Mario Fritz and Trevor Darrell},
url = {https://scalable.mpi-inf.mpg.de/files/2014/04/paper_final.pdf
http://sergeykarayev.com/recognition-on-a-budget/},
year = {2014},
date = {2014-12-17},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
note = {oral},
keywords = {2014},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://scalable.mpi-inf.mpg.de/files/2014/04/paper_final.pdf
  • http://sergeykarayev.com/recognition-on-a-budget/

Close

Image-based Synthesis and Re-Synthesis of Viewpoints Guided by 3D Models

Konstantinos Rematas; Tobias Ritschel; Mario Fritz; Tinne Tuytelaars

Image-based Synthesis and Re-Synthesis of Viewpoints Guided by 3D Models Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014, (oral).

Links | BibTeX | Tags: 2014

@inproceedings{kostas14cvpr,
title = {Image-based Synthesis and Re-Synthesis of Viewpoints Guided by 3D Models},
author = {Konstantinos Rematas and Tobias Ritschel and Mario Fritz and Tinne Tuytelaars},
url = {https://scalable.mpi-inf.mpg.de/files/2014/04/ImageBasedSynthesis.pdf
http://homes.esat.kuleuven.be/~krematas/imgSynth/},
year = {2014},
date = {2014-12-08},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
note = {oral},
keywords = {2014},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://scalable.mpi-inf.mpg.de/files/2014/04/ImageBasedSynthesis.pdf
  • http://homes.esat.kuleuven.be/~krematas/imgSynth/

Close

Towards a Visual Turing Challenge

Mateusz Malinowski; Mario Fritz

Towards a Visual Turing Challenge Proceedings Article

In: NIPS Workshop on Learning Semantics, 2014.

Links | BibTeX | Tags: 2014

@inproceedings{visual_turing_challenge,
title = {Towards a Visual Turing Challenge},
author = {Mateusz Malinowski and Mario Fritz},
url = {http://arxiv.org/abs/1410.8027
http://www.d2.mpi-inf.mpg.de/visual-turing-challenge},
year = {2014},
date = {2014-10-30},
booktitle = {NIPS Workshop on Learning Semantics},
keywords = {2014},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • http://arxiv.org/abs/1410.8027
  • http://www.d2.mpi-inf.mpg.de/visual-turing-challenge

Close

Object Disambiguation for Augmented Reality Applications

Wei-Chen Chiu; Gregory S. Johnson; Daniel Mcculley; Oliver Grau; Mario Fritz

Object Disambiguation for Augmented Reality Applications Proceedings Article

In: British Machine Vision Conference (BMVC), 2014.

Links | BibTeX | Tags: 2014

@inproceedings{walon14bmvc,
title = {Object Disambiguation for Augmented Reality Applications},
author = {Wei-Chen Chiu and Gregory S. Johnson and Daniel Mcculley and Oliver Grau and Mario Fritz},
url = {https://sites.google.com/site/walonchiu/projects/disambiguation
https://scalable.mpi-inf.mpg.de/files/2014/09/walon2014bmvc.pdf},
year = {2014},
date = {2014-09-01},
booktitle = {British Machine Vision Conference (BMVC)},
keywords = {2014},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://sites.google.com/site/walonchiu/projects/disambiguation
  • https://scalable.mpi-inf.mpg.de/files/2014/09/walon2014bmvc.pdf

Close

Ubic: Bridging the Gap Between Digital Cryptography and the Physical World

Mark Simkin; Dominique Schröder; Andreas Bulling; Mario Fritz

Ubic: Bridging the Gap Between Digital Cryptography and the Physical World Proceedings Article

In: European Symposium on Research in Computer Security (ESORICS), 2014.

Links | BibTeX | Tags: 2014

@inproceedings{simkin14esorics,
title = {Ubic: Bridging the Gap Between Digital Cryptography and the Physical World},
author = {Mark Simkin and Dominique Schröder and Andreas Bulling and Mario Fritz},
url = {https://scalable.mpi-inf.mpg.de/files/2014/09/ubic.pdf},
year = {2014},
date = {2014-08-01},
booktitle = {European Symposium on Research in Computer Security (ESORICS)},
keywords = {2014},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://scalable.mpi-inf.mpg.de/files/2014/09/ubic.pdf

Close

Scene Segmentation in Adverse Vision Conditions

Evgeny Levinkov

Scene Segmentation in Adverse Vision Conditions Proceedings Article

In: Young Researcher Forum at GCPR based on master thesis supervised by Mario Fritz, 2014.

Links | BibTeX | Tags: 2014

@inproceedings{levinkov14yrf,
title = {Scene Segmentation in Adverse Vision Conditions},
author = {Evgeny Levinkov},
url = {https://scalable.mpi-inf.mpg.de/files/2014/08/main175.pdf},
year = {2014},
date = {2014-01-08},
booktitle = {Young Researcher Forum at GCPR based on master thesis supervised by Mario Fritz},
keywords = {2014},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://scalable.mpi-inf.mpg.de/files/2014/08/main175.pdf

Close

Learning Multi-Scale Representations for Material Classification

Wenbin Li

Learning Multi-Scale Representations for Material Classification Proceedings Article

In: Young Researcher Forum at GCPR based on master thesis supervised by Mario Fritz, 2014.

Links | BibTeX | Tags: 2014

@inproceedings{wenbin14yrf,
title = {Learning Multi-Scale Representations for Material Classification},
author = {Wenbin Li},
url = {https://scalable.mpi-inf.mpg.de/files/2014/08/main176.pdf},
year = {2014},
date = {2014-01-04},
booktitle = {Young Researcher Forum at GCPR based on master thesis supervised by Mario Fritz},
keywords = {2014},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://scalable.mpi-inf.mpg.de/files/2014/08/main176.pdf

Close

Technical Reports

A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation

Mateusz Malinowski; Mario Fritz

A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation Technical Report

arXiv:1411.5190 [cs.CV], 2014.

Links | BibTeX | Tags: 2014

@techreport{malinowski14spatial,
title = {A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation},
author = {Mateusz Malinowski and Mario Fritz},
url = {http://arxiv.org/abs/1411.5190
http://arxiv.org/pdf/1411.5190v1.pdf},
year = {2014},
date = {2014-10-29},
type = {arXiv:1411.5190 [cs.CV]},
keywords = {2014},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://arxiv.org/abs/1411.5190
  • http://arxiv.org/pdf/1411.5190v1.pdf

Close

Learning Multi-Scale Representations for Material Classification

Wenbin Li; Mario Fritz

Learning Multi-Scale Representations for Material Classification Technical Report

arXiv:1408.2938 [cs.CV], 2014.

Links | BibTeX | Tags: 2014

@techreport{li14multiscale,
title = {Learning Multi-Scale Representations for Material Classification},
author = {Wenbin Li and Mario Fritz},
url = {http://arxiv.org/abs/1408.2938
http://arxiv.org/pdf/1408.2938v1.pdf},
year = {2014},
date = {2014-02-01},
type = {arXiv:1408.2938 [cs.CV]},
keywords = {2014},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://arxiv.org/abs/1408.2938
  • http://arxiv.org/pdf/1408.2938v1.pdf

Close

Ubic: Bridging the gap between digital cryptography and the physical  world

Mark Simkin; Andreas Bulling; Mario Fritz; Dominique Schroeder

Ubic: Bridging the gap between digital cryptography and the physical world Technical Report

arXiv:1403.1343 [cs.CR], 2014.

Links | BibTeX | Tags: 2014

@techreport{simkin14ubic,
title = {Ubic: Bridging the gap between digital cryptography and the physical world},
author = {Mark Simkin and Andreas Bulling and Mario Fritz and Dominique
Schroeder},
url = {http://arxiv-web3.library.cornell.edu/abs/1403.1343
https://ca.cs.uni-saarland.de/ubic/
http://www.cebit.de/product/ubicrypt/437871/J842163},
year = {2014},
date = {2014-01-16},
type = {arXiv:1403.1343 [cs.CR]},
keywords = {2014},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://arxiv-web3.library.cornell.edu/abs/1403.1343
  • https://ca.cs.uni-saarland.de/ubic/
  • http://www.cebit.de/product/ubicrypt/437871/J842163

Close

2013

Book Sections

A Category-Level 3D Object Dataset: Putting the Kinect to Work

Allison Janoch; Sergey Karayev; Yangqing Jia; Jonathan T. Barron; Mario Fritz; Kate Saenko; Trevor Darrell

A Category-Level 3D Object Dataset: Putting the Kinect to Work Book Section

In: Fossati, Andrea; Gall, Juergen; Grabner, Helmut; Ren, Xiaofeng; Konolige, Kurt (Ed.): Consumer Depth Cameras for Computer Vision, Springer London, 2013.

Links | BibTeX | Tags: 2013

@incollection{b3do,
title = {A Category-Level 3D Object Dataset: Putting the Kinect to Work},
author = {Allison Janoch and Sergey Karayev and Yangqing Jia and Jonathan T. Barron and Mario Fritz and Kate Saenko and Trevor Darrell},
editor = {Andrea Fossati and Juergen Gall and Helmut Grabner and Xiaofeng Ren and Kurt Konolige},
url = {http://dx.doi.org/10.1007/978-1-4471-4640-7_8},
year = {2013},
date = {2013-08-01},
booktitle = {Consumer Depth Cameras for Computer Vision},
publisher = {Springer London},
series = {Advances in Computer Vision and Pattern Recognition},
keywords = {2013},
pubstate = {published},
tppubtype = {incollection}
}

Close

  • http://dx.doi.org/10.1007/978-1-4471-4640-7_8

Close

Proceedings Articles

Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling

Evgeny Levinkov; Mario Fritz

Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling Proceedings Article

In: IEEE International Conference on Computer Vision (ICCV), 2013.

Links | BibTeX | Tags: 2013

@inproceedings{levinkov13iccv,
title = {Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling},
author = {Evgeny Levinkov and Mario Fritz},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/levinkov13iccv.pdf
http://www.d2.mpi-inf.mpg.de/sequential-bayesian-update},
year = {2013},
date = {2013-12-03},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
keywords = {2013},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/levinko[...]
  • http://www.d2.mpi-inf.mpg.de/sequential-bayesian-update

Close

Learning Smooth Pooling Regions for Visual Recognition

Mateusz Malinowski; Mario Fritz

Learning Smooth Pooling Regions for Visual Recognition Proceedings Article

In: British Machine Vision Conference (BMVC), 2013.

Links | BibTeX | Tags: 2013

@inproceedings{mateusz13bmvc,
title = {Learning Smooth Pooling Regions for Visual Recognition},
author = {Mateusz Malinowski and Mario Fritz},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/bmvc13_main.pdf},
year = {2013},
date = {2013-09-09},
booktitle = {British Machine Vision Conference (BMVC)},
keywords = {2013},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/bmvc13_[...]

Close

Dynamic Feature Selection for Classification on a Budget

Sergey Karayev; Mario Fritz; Trevor Darrell

Dynamic Feature Selection for Classification on a Budget Proceedings Article

In: ICML Workshop on Prediction with Sequential Models, 2013.

Links | BibTeX | Tags: 2013

@inproceedings{karayev13icmlw,
title = {Dynamic Feature Selection for Classification on a Budget},
author = {Sergey Karayev and Mario Fritz and Trevor Darrell},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/icmlw_2013_dynamic_feature_selection.pdf},
year = {2013},
date = {2013-07-01},
booktitle = {ICML Workshop on Prediction with Sequential Models},
keywords = {2013},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/icmlw_2[...]

Close

Multi-Class Video Co-Segmentation with a Generative Multi-Video Model

Wei-Chen Chiu; Mario Fritz

Multi-Class Video Co-Segmentation with a Generative Multi-Video Model Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.

Links | BibTeX | Tags:

@inproceedings{walon13cvpr,
title = {Multi-Class Video Co-Segmentation with a Generative Multi-Video Model},
author = {Wei-Chen Chiu and Mario Fritz},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/chiu13cvpr.pdf
https://sites.google.com/site/walonchiu/projects/cosegmentation},
year = {2013},
date = {2013-01-01},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/chiu13c[...]
  • https://sites.google.com/site/walonchiu/projects/cosegmentation

Close

Masters Theses

 Scene Segmentation in Adverse Vision Conditions

Evgeny Levinkov

Scene Segmentation in Adverse Vision Conditions Masters Thesis

Saarland University, 2013.

Links | BibTeX | Tags: 2013

@mastersthesis{levinkov13master,
title = { Scene Segmentation in Adverse Vision Conditions},
author = {Evgeny Levinkov},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/Thesis.pdf},
year = {2013},
date = {2013-02-28},
school = {Saarland University},
keywords = {2013},
pubstate = {published},
tppubtype = {mastersthesis}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/Thesis.[...]

Close

Multi-Scale Feature Learning for Material Recognition

Wenbin Li

Multi-Scale Feature Learning for Material Recognition Masters Thesis

Saarland University, 2013.

BibTeX | Tags: 2013

@mastersthesis{wenbin13multiscale,
title = {Multi-Scale Feature Learning for Material Recognition},
author = {Wenbin Li},
year = {2013},
date = {2013-01-31},
school = {Saarland University},
keywords = {2013},
pubstate = {published},
tppubtype = {mastersthesis}
}

Close

Technical Reports

Learnable Pooling Regions for Image Classification

Mateusz Malinowski; Mario Fritz

Learnable Pooling Regions for Image Classification Technical Report

arXiv:1301.3516 [cs.CV], 2013, (Workshop at International Conference on Learning Representations).

Links | BibTeX | Tags: 2013

@techreport{malinowski13arxiv,
title = {Learnable Pooling Regions for Image Classification},
author = {Mateusz Malinowski and Mario Fritz},
url = {http://arxiv.org/abs/1301.3516
http://arxiv.org/pdf/1301.3516v1.pdf},
year = {2013},
date = {2013-01-01},
journal = {CoRR},
volume = {abs/1301.3516},
organization = {CoRR, abs/1301.3516},
type = {arXiv:1301.3516 [cs.CV]},
note = {Workshop at International Conference on Learning Representations},
keywords = {2013},
pubstate = {published},
tppubtype = {techreport}
}

Close

  • http://arxiv.org/abs/1301.3516
  • http://arxiv.org/pdf/1301.3516v1.pdf

Close

2012

Journal Articles

A Geometric Approach To Robotic Laundry Folding

Stephen Miller; Jur van den Berg; Mario Fritz; Trevor Darrell; Ken Goldberg; Pieter Abbeel

A Geometric Approach To Robotic Laundry Folding Journal Article

In: International Journal of Robotics Research (IJRR), 2012.

Links | BibTeX | Tags:

@article{2011MillerA-Geo,
title = {A Geometric Approach To Robotic Laundry Folding},
author = {Stephen Miller and Jur van den Berg and Mario Fritz and Trevor Darrell and Ken Goldberg and Pieter Abbeel},
url = {http://intl-ijr.sagepub.com/content/31/2/249},
year = {2012},
date = {2012-01-01},
journal = {International Journal of Robotics Research (IJRR)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

Close

  • http://intl-ijr.sagepub.com/content/31/2/249

Close

Proceedings Articles

Kernel Density Topic Models: Visual Topics Without Visual Words

Konstantinos Rematas; Mario Fritz; Tinne Tuytelaars

Kernel Density Topic Models: Visual Topics Without Visual Words Proceedings Article

In: NIPS Workshop Modern Non-Parametric Methods in Machine Learning, 2012.

Links | BibTeX | Tags: 2013

@inproceedings{rematas12NIPSW,
title = {Kernel Density Topic Models: Visual Topics Without Visual Words},
author = {Konstantinos Rematas and Mario Fritz and Tinne Tuytelaars},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/rematas_kernel.pdf},
year = {2012},
date = {2012-12-01},
booktitle = {NIPS Workshop Modern Non-Parametric Methods in Machine Learning},
keywords = {2013},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/rematas[...]

Close

Active Metric Learning for Object Recognition

Sandra Ebert; Mario Fritz; Bernt Schiele

Active Metric Learning for Object Recognition Proceedings Article

In: DAGM/OAGM Symposium, 2012.

Links | BibTeX | Tags:

@inproceedings{ebertdagm12,
title = {Active Metric Learning for Object Recognition},
author = {Sandra Ebert and Mario Fritz and Bernt Schiele},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/EbertDAGM2012.pdf},
year = {2012},
date = {2012-01-01},
booktitle = {DAGM/OAGM Symposium},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/EbertDA[...]

Close

Semi-Supervised Learning on a Budget: Scaling up to Large Datasets

Sandra Ebert; Mario Fritz; Bernt Schiele

Semi-Supervised Learning on a Budget: Scaling up to Large Datasets Proceedings Article

In: Asian Conference on Computer Vision (ACCV), 2012.

Links | BibTeX | Tags:

@inproceedings{ebert12accv,
title = {Semi-Supervised Learning on a Budget: Scaling up to Large Datasets},
author = {Sandra Ebert and Mario Fritz and Bernt Schiele},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/ebert12accv.pdf},
year = {2012},
date = {2012-01-01},
booktitle = {Asian Conference on Computer Vision (ACCV)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/ebert12[...]

Close

The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image

Konstantinos Rematas; Mario Fritz; Tinne Tuytelaars

The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image Proceedings Article

In: Asian Conference on Computer Vision (ACCV), 2012.

Links | BibTeX | Tags:

@inproceedings{kostas12accv,
title = {The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image},
author = {Konstantinos Rematas and Mario Fritz and Tinne Tuytelaars},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/rematasACCV12.pdf},
year = {2012},
date = {2012-01-01},
booktitle = {Asian Conference on Computer Vision (ACCV)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/rematas[...]

Close

Timely Object Recognition

Sergey Karayev; Tobias Baumgartner; Mario Fritz; Trevor Darrell

Timely Object Recognition Proceedings Article

In: Advances in Neural Information Processing Systems (NIPS), 2012.

Links | BibTeX | Tags:

@inproceedings{karayev12nips,
title = {Timely Object Recognition},
author = {Sergey Karayev and Tobias Baumgartner and Mario Fritz and Trevor Darrell},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/nips_2012_timely_object_recognition.pdf
http://sergeykarayev.com/work/timely/},
year = {2012},
date = {2012-01-01},
booktitle = {Advances in Neural Information Processing Systems (NIPS)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

Close

  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/nips_20[...]
  • http://sergeykarayev.com/work/timely/

Close

Sparselet Models for Efficient Multiclass Object Detection

Hyun Oh Song; Stefan Zickler; Tim Althoff; Ross Girshick; Mario Fritz; Christopher Geyer; Pedro Felzenszwalb; Trevor Darrell

Sparselet Models for Efficient Multiclass Object Detection Proceedings Article

In: European Conference on Computer Vision (ECCV), 2012.

Links | BibTeX | Tags:

@inproceedings{song12eccv,
title = {Sparselet Models for Efficient Multiclass Object Detection},
author = {Hyun Oh Song and Stefan Zickler and Tim Althoff and Ross Girshick and Mario Fritz and Christopher Geyer and Pedro Felzenszwalb and Trevor Darrell},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/sparselets-eccv.pdf
http://www.eecs.berkeley.edu/~song/sparselets/
},
year = {2012},
date = {2012-01-01},
booktitle = {European Conference on Computer Vision (ECCV)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/sparsel[...]
  • http://www.eecs.berkeley.edu/~song/sparselets/

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Recognizing Materials from Virtual Examples

Wenbin Li; Mario Fritz

Recognizing Materials from Virtual Examples Proceedings Article

In: European Conference on Computer Vision (ECCV), 2012.

Links | BibTeX | Tags:

@inproceedings{li12eccv,
title = {Recognizing Materials from Virtual Examples},
author = {Wenbin Li and Mario Fritz},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/li12eccv.pdf
http://www.d2.mpi-inf.mpg.de/mpi-vips},
year = {2012},
date = {2012-01-01},
booktitle = {European Conference on Computer Vision (ECCV)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/li12ecc[...]
  • http://www.d2.mpi-inf.mpg.de/mpi-vips

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RALF: A Reinforced Active Learning Formulation for Object Class Recognition

Sandra Ebert; Mario Fritz; Schiele

RALF: A Reinforced Active Learning Formulation for Object Class Recognition Proceedings Article

In: IEEE Computer Vision and Pattern Recognition (CVPR), 2012.

Links | BibTeX | Tags:

@inproceedings{ebert12cvpr,
title = {RALF: A Reinforced Active Learning Formulation for Object Class Recognition},
author = {Sandra Ebert and Mario Fritz and Schiele},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/EbertCVPR2012.pdf
https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/RALF_poster.pdf
http://www.d2.mpi-inf.mpg.de/content/ralf-reinforced-active-learning-formulation},
year = {2012},
date = {2012-01-01},
booktitle = {IEEE Computer Vision and Pattern Recognition (CVPR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/EbertCV[...]
  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/RALF_po[...]
  • http://www.d2.mpi-inf.mpg.de/content/ralf-reinforced-active-learning-formulation

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2011

Proceedings Articles

Parameterized Shape Models for Clothing

Stephen Miller; Mario Fritz; Trevor Darrell; Pieter Abbeel

Parameterized Shape Models for Clothing Proceedings Article

In: IEEE International Conference on Robotics and Automation (ICRA), 2011.

Links | BibTeX | Tags:

@inproceedings{2011MillerParam,
title = {Parameterized Shape Models for Clothing},
author = {Stephen Miller and Mario Fritz and Trevor Darrell and Pieter Abbeel},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/MillerFritzDarrellAbbeel_ICRA2011.pdf
http://rll.berkeley.edu/2011_ICRA_shapemodels/},
year = {2011},
date = {2011-01-01},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/MillerF[...]
  • http://rll.berkeley.edu/2011_ICRA_shapemodels/

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A Probabilistic Model for Recursive Factorized Image Features

Sergey Karayev; Mario Fritz; Sanja Fidler; Trevor Darrell

A Probabilistic Model for Recursive Factorized Image Features Proceedings Article

In: IEEE Computer Vision and Pattern Recognition (CVPR), 2011.

Links | BibTeX | Tags:

@inproceedings{2011KarayevA-Pro,
title = {A Probabilistic Model for Recursive Factorized Image Features},
author = {Sergey Karayev and Mario Fritz and Sanja Fidler and Trevor Darrell},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/1888.pdf
http://sergeykarayev.com/work/files/rlda/poster.pdf},
year = {2011},
date = {2011-01-01},
booktitle = {IEEE Computer Vision and Pattern Recognition (CVPR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/1888.pd[...]
  • http://sergeykarayev.com/work/files/rlda/poster.pdf

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Pick your Neighborhood -- Improving Labels and Neighborhood Structure for Label Propagation

Sandra Ebert; Mario Fritz; Bernt Schiele

Pick your Neighborhood -- Improving Labels and Neighborhood Structure for Label Propagation Proceedings Article

In: Pattern Recognition, DAGM Symposium, 2011.

Links | BibTeX | Tags:

@inproceedings{2011EbertPick-,
title = {Pick your Neighborhood -- Improving Labels and Neighborhood Structure for Label Propagation},
author = {Sandra Ebert and Mario Fritz and Bernt Schiele},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/EbertDAGM2011.pdf},
year = {2011},
date = {2011-01-01},
booktitle = {Pattern Recognition, DAGM Symposium},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/EbertDA[...]

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Improving the Kinect by Cross-Modal Stereo

Wei-Chen Chiu; Ulf Blanke; Mario Fritz

Improving the Kinect by Cross-Modal Stereo Proceedings Article

In: British Machine Vision Conference (BMVC), 2011.

Links | BibTeX | Tags:

@inproceedings{2011ChiuImpro,
title = {Improving the Kinect by Cross-Modal Stereo},
author = {Wei-Chen Chiu and Ulf Blanke and Mario Fritz},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/chiu11bmvc.pdf
https://sites.google.com/site/walonchiu/projects/cross_modal},
year = {2011},
date = {2011-01-01},
booktitle = {British Machine Vision Conference (BMVC)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/chiu11b[...]
  • https://sites.google.com/site/walonchiu/projects/cross_modal

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Practical 3-D Object Detection Using Category and Instance-level Appearance Models

Kate Saenko; Sergey Karayev; Yangqing Yia; Alex Shyr; Allie Janoch; Jonathan Long; Mario Fritz; Trevor Darrell

Practical 3-D Object Detection Using Category and Instance-level Appearance Models Proceedings Article

In: IEEE International Conference on Intelligent Robots and Systems (IROS), 2011.

Links | BibTeX | Tags:

@inproceedings{2011SaenkoPract,
title = {Practical 3-D Object Detection Using Category and Instance-level Appearance Models},
author = {Kate Saenko and Sergey Karayev and Yangqing Yia and Alex Shyr and Allie Janoch and Jonathan Long and Mario Fritz and Trevor Darrell},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/iros2011.pdf},
year = {2011},
date = {2011-01-01},
booktitle = {IEEE International Conference on Intelligent Robots and Systems (IROS)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/iros201[...]

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Perception for the Manipulation of Socks

Ping Chuan Wang; Stephen Miller; Mario Fritz; Trevor Darrell; Pieter Abbeel

Perception for the Manipulation of Socks Proceedings Article

In: IEEE International Conference on Intelligent Robots and Systems (IROS), 2011.

Links | BibTeX | Tags:

@inproceedings{2011AbbeelPerce,
title = {Perception for the Manipulation of Socks},
author = {Ping Chuan Wang and Stephen Miller and Mario Fritz and Trevor Darrell and Pieter Abbeel},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/WangMillerFritzDarrellAbbeel_IROS2011.pdf
http://www.stanford.edu/~sdmiller/media/index.html#paper2},
year = {2011},
date = {2011-01-01},
booktitle = {IEEE International Conference on Intelligent Robots and Systems (IROS)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/WangMil[...]
  • http://www.stanford.edu/~sdmiller/media/index.html#paper2

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The NBNN kernel

Tinne Tuytelaars; Mario Fritz; Kate Saenko; Trevor Darrell

The NBNN kernel Proceedings Article

In: IEEE International Conference on Computer Vision (ICCV), 2011.

Links | BibTeX | Tags:

@inproceedings{2011TuytelaarsKerna,
title = {The NBNN kernel},
author = {Tinne Tuytelaars and Mario Fritz and Kate Saenko and Trevor Darrell},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/tuytelaars_al-nbnn_kernel-iccv11.pdf},
year = {2011},
date = {2011-01-01},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/tuytela[...]

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I spy with my little eye: Learning Optimal Filters for Cross-Modal Stereo under Projected Patterns

Wei-Chen Chiu; Ulf Blanke; Mario Fritz

I spy with my little eye: Learning Optimal Filters for Cross-Modal Stereo under Projected Patterns Proceedings Article

In: IEEE Workshop on Consumer Depth Cameras for Computer Vision, 2011.

Links | BibTeX | Tags:

@inproceedings{2011ChiuI-spy,
title = {I spy with my little eye: Learning Optimal Filters for Cross-Modal Stereo under Projected Patterns},
author = {Wei-Chen Chiu and Ulf Blanke and Mario Fritz},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/Wei-ChenChiuSpyWithLittleEye_CDC4CV2011.pdf.pdf
https://sites.google.com/site/walonchiu/projects/cross_modal},
year = {2011},
date = {2011-01-01},
booktitle = {IEEE Workshop on Consumer Depth Cameras for Computer Vision},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/Wei-Che[...]
  • https://sites.google.com/site/walonchiu/projects/cross_modal

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Visual Grasp Affordances From Appearance-Based Cues

Hyun Oh Song; Mario Fritz; Chunhui Gu; Trevor Darrell

Visual Grasp Affordances From Appearance-Based Cues Proceedings Article

In: IEEE Workshop on Challenges and Opportunities in Robot Perception, 2011.

Links | BibTeX | Tags:

@inproceedings{2011SongVisua,
title = {Visual Grasp Affordances From Appearance-Based Cues},
author = {Hyun Oh Song and Mario Fritz and Chunhui Gu and Trevor Darrell},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/PID2062211.pdf
https://www.youtube.com/watch?v=C3HU1Tb5hF4},
year = {2011},
date = {2011-01-01},
booktitle = {IEEE Workshop on Challenges and Opportunities in Robot Perception},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/PID2062[...]
  • https://www.youtube.com/watch?v=C3HU1Tb5hF4

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A Category-Level 3-D Object Dataset: Putting the Kinect to Work

Allison Janoch; Sergey Karayev; Yangqing Jia; Jonathan T. Barron; Mario Fritz; Kate Saenko; Trevor Darrell

A Category-Level 3-D Object Dataset: Putting the Kinect to Work Proceedings Article

In: IEEE Workshop on Consumer Depth Cameras for Computer Vision, 2011.

Links | BibTeX | Tags:

@inproceedings{2011JanochA-Cat,
title = {A Category-Level 3-D Object Dataset: Putting the Kinect to Work},
author = {Allison Janoch and Sergey Karayev and Yangqing Jia and Jonathan T. Barron and Mario Fritz and Kate Saenko and Trevor Darrell},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/B3DO_ICCV_2011.pdf
http://kinectdata.com},
year = {2011},
date = {2011-01-01},
booktitle = {IEEE Workshop on Consumer Depth Cameras for Computer Vision},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/B3DO_IC[...]
  • http://kinectdata.com

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Masters Theses

Optimization Algorithms in the Reconstruction of MR Images: A Comparative Study

Mateusz Malinowski

Optimization Algorithms in the Reconstruction of MR Images: A Comparative Study Masters Thesis

Saarland University, 2011.

Links | BibTeX | Tags: 2011

@mastersthesis{mateusz_optimization_in_mri,
title = {Optimization Algorithms in the Reconstruction of MR Images: A Comparative Study},
author = {Mateusz Malinowski},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/MRI-Recon-Msc.pdf},
year = {2011},
date = {2011-07-01},
school = {Saarland University},
type = {Master's Thesis},
keywords = {2011},
pubstate = {published},
tppubtype = {mastersthesis}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/06/MRI-Rec[...]

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2010

Journal Articles

Tutor-based learning of visual categories using different levels of supervision

Mario Fritz; Geert-Jan M. Kruijff; Bernt Schiele

Tutor-based learning of visual categories using different levels of supervision Journal Article

In: Computer Vision and Image Understanding, vol. 114, pp. 564–573, 2010, ISSN: 1077-3142.

Links | BibTeX | Tags:

@article{2010FritzTutor,
title = {Tutor-based learning of visual categories using different levels of supervision},
author = {Mario Fritz and Geert-Jan M. Kruijff and Bernt Schiele},
url = {http://www.sciencedirect.com/science/article/pii/S1077314210000238},
issn = {1077-3142},
year = {2010},
date = {2010-01-01},
journal = {Computer Vision and Image Understanding},
volume = {114},
pages = {564–573},
publisher = {Elsevier Science Inc.},
address = {New York, NY, USA},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

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  • http://www.sciencedirect.com/science/article/pii/S1077314210000238

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Classifying materials in the real world

Barbara Caputo; Hayman, Eric; Mario Fritz; Eklundh, Jan-Olof

Classifying materials in the real world Journal Article

In: Image and Vision Computing, vol. 28, pp. 150–163, 2010, ISSN: 0262-8856.

Links | BibTeX | Tags:

@article{2010CaputoClass,
title = {Classifying materials in the real world},
author = {Barbara Caputo and Hayman, Eric and Mario Fritz and Eklundh, Jan-Olof},
url = {http://www.sciencedirect.com/science/article/pii/S0262885609001097},
issn = {0262-8856},
year = {2010},
date = {2010-01-01},
journal = {Image and Vision Computing},
volume = {28},
pages = {150–163},
publisher = {Butterworth-Heinemann},
address = {Newton, MA, USA},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

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  • http://www.sciencedirect.com/science/article/pii/S0262885609001097

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Book Sections

Categorical Perception

Mario Fritz; Mykhaylo Andriluka; Sanja Fidler; Michael Stark; Ales Leonardis; Bernt Schiele

Categorical Perception Book Section

In: Cognitive Systems, Springer, 2010.

Links | BibTeX | Tags:

@incollection{2010FritzCateg,
title = {Categorical Perception},
author = {Mario Fritz and Mykhaylo Andriluka and Sanja Fidler and Michael Stark and Ales Leonardis and Bernt Schiele},
url = {http://link.springer.com/chapter/10.1007%2F978-3-642-11694-0_4},
year = {2010},
date = {2010-01-01},
booktitle = {Cognitive Systems},
publisher = {Springer},
series = {Cognitive Systems Monographs},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}

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  • http://link.springer.com/chapter/10.1007%2F978-3-642-11694-0_4

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Multi-Modal Learning

Danijel Skocaj; Matej Kristan; Alen Vrecko; Ales Leonardis; Mario Fritz; Michael Stark; Bernt Schiele; Somboon Hongeng; Jeremy L. Wyatt

Multi-Modal Learning Book Section

In: Cognitive Systems, Springer, 2010.

Links | BibTeX | Tags:

@incollection{2010SkocajMulti,
title = {Multi-Modal Learning},
author = {Danijel Skocaj and Matej Kristan and Alen Vrecko and Ales Leonardis and Mario Fritz and Michael Stark and Bernt Schiele and Somboon Hongeng and Jeremy L. Wyatt},
url = {http://link.springer.com/chapter/10.1007%2F978-3-642-11694-0_7},
year = {2010},
date = {2010-01-01},
booktitle = {Cognitive Systems},
publisher = {Springer},
series = {Cognitive Systems Monographs},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}

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  • http://link.springer.com/chapter/10.1007%2F978-3-642-11694-0_7

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Size Matters: Metric Visual Search Constraints from Monocular Metadata

Mario Fritz; Kate Saenko; Trevor Darrell

Size Matters: Metric Visual Search Constraints from Monocular Metadata Book Section

In: Advances in Neural Information Processing Systems (NIPS), 2010.

Links | BibTeX | Tags:

@incollection{2010FritzSize-,
title = {Size Matters: Metric Visual Search Constraints from Monocular Metadata},
author = {Mario Fritz and Kate Saenko and Trevor Darrell},
url = {http://books.nips.cc/papers/files/nips23/NIPS2010_1221.pdf},
year = {2010},
date = {2010-01-01},
booktitle = {Advances in Neural Information Processing Systems (NIPS)},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}

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  • http://books.nips.cc/papers/files/nips23/NIPS2010_1221.pdf

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Proceedings Articles

Adapting visual category models to new domains

Kate Saenko; Brian Kulis; Mario Fritz; Trevor Darrell

Adapting visual category models to new domains Proceedings Article

In: European Conference on Computer Vision (ECCV), 2010.

Links | BibTeX | Tags:

@inproceedings{2010SaenkoAdapt,
title = {Adapting visual category models to new domains},
author = {Kate Saenko and Brian Kulis and Mario Fritz and Trevor Darrell},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/05/saenko_eccv_2010.pdf},
year = {2010},
date = {2010-01-01},
booktitle = {European Conference on Computer Vision (ECCV)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/05/saenko_[...]

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2009

Book Sections

Towards Integration of Different Paradigms in Modeling, Representation and Learning of Visual Categories

Mario Fritz; Bernt Schiele

Towards Integration of Different Paradigms in Modeling, Representation and Learning of Visual Categories Book Section

In: Object Categorization: Computer and Human Vision Perspectives, Cambridge University Press, 2009.

Links | BibTeX | Tags:

@incollection{2009FritzTowar,
title = {Towards Integration of Different Paradigms in Modeling, Representation and Learning of Visual Categories},
author = {Mario Fritz and Bernt Schiele},
url = {http://ebooks.cambridge.org/chapter.jsf?bid=CBO9780511635465&cid=CBO9780511635465A026},
year = {2009},
date = {2009-01-01},
booktitle = {Object Categorization: Computer and Human Vision Perspectives},
publisher = {Cambridge University Press},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}

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  • http://ebooks.cambridge.org/chapter.jsf?bid=CBO9780511635465&cid=CBO97805116[...]

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Proceedings Articles

Discriminative Structure Learning of Hierarchical Representations for Object Detection

Paul Schnitzspan; Mario Fritz; Stefan Roth; Bernt Schiele

Discriminative Structure Learning of Hierarchical Representations for Object Detection Proceedings Article

In: IEEE Computer Vision and Pattern Recognition (CVPR), 2009.

Links | BibTeX | Tags:

@inproceedings{2009SchnitzspanDiscr,
title = {Discriminative Structure Learning of Hierarchical Representations for Object Detection},
author = {Paul Schnitzspan and Mario Fritz and Stefan Roth and Bernt Schiele},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/05/schnitzspan09cvpr_compressed.pdf},
year = {2009},
date = {2009-01-01},
booktitle = {IEEE Computer Vision and Pattern Recognition (CVPR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/05/schnitz[...]

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An Additive Latent Feature Model for Transparent Object Recognition

Mario Fritz; Michael Black; Gary Bradski; Sergey Karayev; Trevor Darrell

An Additive Latent Feature Model for Transparent Object Recognition Proceedings Article

In: Advances in Neural Information Processing Systems (NIPS), 2009, ((oral)).

Links | BibTeX | Tags:

@inproceedings{2009FritzAn-Ad,
title = {An Additive Latent Feature Model for Transparent Object Recognition},
author = {Mario Fritz and Michael Black and Gary Bradski and Sergey Karayev and Trevor Darrell},
url = {http://books.nips.cc/papers/files/nips22/NIPS2009_0397.pdf},
year = {2009},
date = {2009-01-01},
booktitle = {Advances in Neural Information Processing Systems (NIPS)},
note = {(oral)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • http://books.nips.cc/papers/files/nips22/NIPS2009_0397.pdf

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PhD Theses

Modeling, Representing and Learning of Visual Categories

Mario Fritz

Modeling, Representing and Learning of Visual Categories PhD Thesis

TU Darmstadt, 2009.

BibTeX | Tags:

@phdthesis{2009FritzModel,
title = {Modeling, Representing and Learning of Visual Categories},
author = {Mario Fritz},
year = {2009},
date = {2009-01-01},
school = {TU Darmstadt},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}

Close

Proceedings

Computer Vision Systems, 7th International Conference on Computer Vision Systems, ICVS 2009, Liege, Belgium, October 13-15, 2009, Proceedings

Mario Fritz; Bernt Schiele; Justus H. Piater (Ed.)

Computer Vision Systems, 7th International Conference on Computer Vision Systems, ICVS 2009, Liege, Belgium, October 13-15, 2009, Proceedings Proceedings

Springer, vol. 5815, 2009, ISBN: 978-3-642-04666-7.

Links | BibTeX | Tags:

@proceedings{2009Compu,
title = {Computer Vision Systems, 7th International Conference on Computer Vision Systems, ICVS 2009, Liege, Belgium, October 13-15, 2009, Proceedings},
editor = {Mario Fritz and Bernt Schiele and Justus H. Piater},
url = {http://link.springer.com/book/10.1007/978-3-642-04667-4/page/1},
isbn = {978-3-642-04666-7},
year = {2009},
date = {2009-01-01},
journal = {ICVS},
volume = {5815},
publisher = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}

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  • http://link.springer.com/book/10.1007/978-3-642-04667-4/page/1

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2008

Proceedings Articles

Discovery of activity patterns using topic models

Tam Huynh; Mario Fritz; Bernt Schiele

Discovery of activity patterns using topic models Proceedings Article

In: International Conference on Ubiquitous computing (UbiComp), 2008.

Links | BibTeX | Tags:

@inproceedings{2008HuynhDisco,
title = {Discovery of activity patterns using topic models},
author = {Tam Huynh and Mario Fritz and Bernt Schiele},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/05/ubicomp2008.pdf},
year = {2008},
date = {2008-01-01},
booktitle = {International Conference on Ubiquitous computing (UbiComp)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/05/ubicomp[...]

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Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features

Paul Schnitzspan; Mario Fritz; Bernt Schiele

Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features Proceedings Article

In: European Conference on Computer Vision (ECCV), 2008.

Links | BibTeX | Tags:

@inproceedings{2008SchnitzspanHiera,
title = {Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features},
author = {Paul Schnitzspan and Mario Fritz and Bernt Schiele},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/05/schnitzspan08eccv.pdf},
year = {2008},
date = {2008-01-01},
booktitle = {European Conference on Computer Vision (ECCV)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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  • https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/05/schnitz[...]

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Decomposition, Discovery and Detection of Visual Categories Using Topic Models

Mario Fritz; Bernt Schiele

Decomposition, Discovery and Detection of Visual Categories Using Topic Models Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.

Links | BibTeX | Tags:

@inproceedings{2008FritzDecom,
title = {Decomposition, Discovery and Detection of Visual Categories Using Topic Models},
author = {Mario Fritz and Bernt Schiele},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/05/fritz08cvpr.pdf},
year = {2008},
date = {2008-01-01},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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2007

Proceedings Articles

Towards Robust Pedestrian Detection in Crowded Image Sequences

Edgar Seemann; Mario Fritz; Bernt Schiele

Towards Robust Pedestrian Detection in Crowded Image Sequences Proceedings Article

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007.

Links | BibTeX | Tags:

@inproceedings{2007SeemannTowar,
title = {Towards Robust Pedestrian Detection in Crowded Image Sequences},
author = {Edgar Seemann and Mario Fritz and Bernt Schiele},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/05/seemann07cvpr.pdf},
year = {2007},
date = {2007-01-01},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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Cross-Modal Learning of Visual Categories using Different Levels of Supervision

Mario Fritz; Geert-Jan Kruijff; Bernt Schiele

Cross-Modal Learning of Visual Categories using Different Levels of Supervision Proceedings Article

In: International Conference on Vision Systems (ICVS), 2007.

Links | BibTeX | Tags:

@inproceedings{2007FritzCross,
title = {Cross-Modal Learning of Visual Categories using Different Levels of Supervision},
author = {Mario Fritz and Geert-Jan Kruijff and Bernt Schiele},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/05/fritz07icvs.pdf},
year = {2007},
date = {2007-01-01},
booktitle = {International Conference on Vision Systems (ICVS)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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2006

Proceedings Articles

The 2005 PASCAL Visual Object Classes Challenge

Mark Everingham; Andrew Zisserman; Christopher K. I. Williams; Luc Van Gool; Moray Allan; Christopher M. Bishop; Olivier Chapelle; Navneet Dalal; Thomas Deselaers; Gyuri Dork'o; Stefan Duffner; Jan Eichhorn; Jason D. R. Farquhar; Mario Fritz; Christophe Garcia; Tom Griffiths; Fr'ed'eric Jurie; Thomas Keysers; Markus Koskela; Jorma Laaksonen; Larlus, Diane; Bastian Leibe; Hongying Meng; Hermann Ney; Bernt Schiele; Corde

The 2005 PASCAL Visual Object Classes Challenge Proceedings Article

In: Selected Proceedings of the first PASCAL Challenges Workshop, 2006.

Links | BibTeX | Tags:

@inproceedings{2006EveringhamThe-2,
title = {The 2005 PASCAL Visual Object Classes Challenge},
author = {Mark Everingham and Andrew Zisserman and Christopher K. I. Williams and Luc Van Gool and Moray Allan and Christopher M. Bishop and Olivier Chapelle and Navneet Dalal and Thomas Deselaers and Gyuri Dork'o and Stefan Duffner and Jan Eichhorn and Jason D. R. Farquhar and Mario Fritz and Christophe Garcia and Tom Griffiths and Fr'ed'eric Jurie and Thomas Keysers and Markus Koskela and Jorma Laaksonen and Larlus, Diane and Bastian Leibe and Hongying Meng and Hermann Ney and Bernt Schiele and Corde},
url = {http://pascallin.ecs.soton.ac.uk/challenges/VOC/voc2005/chapter.pdf},
year = {2006},
date = {2006-01-01},
booktitle = {Selected Proceedings of the first PASCAL Challenges Workshop},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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Towards Unsupervised Discovery of Visual Categories

Mario Fritz; Bernt Schiele

Towards Unsupervised Discovery of Visual Categories Proceedings Article

In: Pattern Recognition, DAGM Symposium, 2006.

Links | BibTeX | Tags:

@inproceedings{2006FritzTowar,
title = {Towards Unsupervised Discovery of Visual Categories},
author = {Mario Fritz and Bernt Schiele},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/05/fritz06dagm.pdf},
year = {2006},
date = {2006-01-01},
booktitle = {Pattern Recognition, DAGM Symposium},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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2005

Proceedings Articles

Integrating Representative and Discriminant Models for Object Category Detection

Mario Fritz; Bastian Leibe; Barbara Caputo; Bernt Schiele

Integrating Representative and Discriminant Models for Object Category Detection Proceedings Article

In: IEEE International Conference on Computer Vision (ICCV), 2005.

Links | BibTeX | Tags:

@inproceedings{2005FritzInteg,
title = {Integrating Representative and Discriminant Models for Object Category Detection},
author = {Mario Fritz and Bastian Leibe and Barbara Caputo and Bernt Schiele},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/05/fritz05iccv.pdf},
year = {2005},
date = {2005-01-01},
booktitle = {IEEE International Conference on Computer Vision (ICCV)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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2004

Proceedings Articles

On the Significance of Real-World Conditions for Material Classification

Hayman, Eric; Barbara Caputo; Mario Fritz; Eklundh, Jan-Olof

On the Significance of Real-World Conditions for Material Classification Proceedings Article

In: European Conference on Computer Vision (ECCV), 2004.

Links | BibTeX | Tags:

@inproceedings{2004HaymanOn-th,
title = {On the Significance of Real-World Conditions for Material Classification},
author = {Hayman, Eric and Barbara Caputo and Mario Fritz and Eklundh, Jan-Olof},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/05/hayman.pdf},
year = {2004},
date = {2004-01-01},
booktitle = {European Conference on Computer Vision (ECCV)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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Miscellaneous

Categorization by Local Information Using Support Vector Machines

Mario Fritz

Categorization by Local Information Using Support Vector Machines Miscellaneous

Master Thesis, 2004.

Links | BibTeX | Tags:

@misc{masterthesis,
title = {Categorization by Local Information Using Support Vector Machines},
author = {Mario Fritz},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/11/da00.pdf},
year = {2004},
date = {2004-01-01},
school = {University of Erlangen-Nuremberg and KTH},
howpublished = {Master Thesis},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}

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2002

Proceedings Articles

Object Tracking and Pose Estimation Using Light-Field Object Models

Matthias Zobel; Mario Fritz; Ingo Scholz

Object Tracking and Pose Estimation Using Light-Field Object Models Proceedings Article

In: Vision, Modeling, and Visualization Conference (VMV), 2002.

Links | BibTeX | Tags:

@inproceedings{2002ZobelObjec,
title = {Object Tracking and Pose Estimation Using Light-Field Object Models},
author = {Matthias Zobel and Mario Fritz and Ingo Scholz},
url = {https://cispa.saarland/group/fritz/wp-content/blogs.dir/13/files/2020/05/zobeletal.pdf},
year = {2002},
date = {2002-01-01},
booktitle = {Vision, Modeling, and Visualization Conference (VMV)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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Miscellaneous

3D Objektverfolgung mit Lichtfeldern (3D object tracking using light-fields)

Mario Fritz

3D Objektverfolgung mit Lichtfeldern (3D object tracking using light-fields) Miscellaneous

2002, (student thesis).

BibTeX | Tags:

@misc{studentthesis,
title = {3D Objektverfolgung mit Lichtfeldern (3D object tracking using light-fields)},
author = {Mario Fritz},
year = {2002},
date = {2002-01-01},
school = {University of Erlangen-Nuremberg},
note = {student thesis},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}

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