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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 health:

  • Leading Scientist
    Helmholtz Medical Security, Privacy, and AI Research Center (HMSP)
  • 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)
  • Partner-PI
    The German Human Genome-Phenome Archive (GHGA)
  • Member of working group in “Forum Gesundheit” of BMBF
    “AG Nutzbarmachung digitaler Daten für KI-Entwicklungen in der Gesundheitsforschung”

Recent publications:

  • IJCAI’21: Beyond the Spectrum: Detecting GAN-generated Images via Re-synthesis
  • S&P’21: Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding
  • CVPR’21: Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs
  • CVPR’21: Convolutional Dynamic Alignment Networks for Interpretable Classifications
  • CVPR’21: Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers
  • CVPR-W’21: MLCapsule: Guarded Offline Deployment of Machine Learning as a Service
  • CVPR-W’21: InfoScrub: Towards Attribute Privacy by Targeted Obfuscation
  • WACV’21: Future Moment Assessment for Action Query
  • NeurIPS’20: GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
  • NeurIPS-W’20: SampleFix: Learning to Correct Programs by Sampling Diverse Fixes
  • NeurIPS-W’20: IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis
  • NeurIPS-W’20: Haar Wavelet based Block Autoregressive Flows for Trajectories
  • CCS’20: VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity
  • CCS’20: GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs
  • S&P’20: Automatically Detecting Bystanders in Photos to Reduce Privacy Risks
  • USENIX Security’20: Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning
  • ICLR’20: Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks
  • CVPR’20: Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing
  • CVPR’20: Normalizing Flows with Multi-scale Autoregressive Priors
  • ECCV’20: Towards Automated Testing and Robustification by Semantic Adversarial Data Generation
  • ECCV’20: Inclusive GAN: Improving Data and Minority Coverage in Generative Models
  • ECCV’20: Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation
  • ECCV-W’20: Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction
  • ECCV-W’20: Synthetic Convolutional Features for Improved Semantic Segmentation
  • NEUCOM’20: Deep gaze pooling: Inferring and visually decoding search intents from human gaze fixations
  • GCPR’20: Semantic Bottlenecks: Quantifying & Improving Inspectability of Deep Representations
  • GCPR’20: Long-Tailed Recognition Using Class-Balanced Experts
  • GCPR’20: Haar Wavelet based Block Autoregressive Flows for Trajectories
  • TPAMI’20: Person Recognition in Personal Photo Collections
  • Explainable AI Book: Towards reverse-engineering black-box neural networks

Most recent work on ArXiv:

  • ArXiv’21 “What’s in the box?!”: Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models
  • ArXiv’21: ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
  • ArXiv’21: Responsible Disclosure of Generative Models Using Scalable Fingerprinting
  • ArXiv’20: CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning
  • ArXiv’20: Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding
  • ArXiv’20: Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries
  • ArXiv’20: Black-Box Watermarking for Generative Adversarial Networks
  • ArXiv’20: InfoScrub: Towards Attribute Privacy by Targeted Obfuscation

News, talks, events:

  • Runner-up Inria/CNIL Privacy Protection Prize 2020
    S&P’20 paper: “Automatically Detecting Bystanders in Photos to Reduce Privacy Risks”
  • Co-Organizers of ICLR’21 Workshop on “Synthetic Data Generation – Quality, Privacy, Bias”
  • Co-Organizers of CVPR’21 Workshop on “QuoVadis: Interdisciplinary, Socio-Technical Workshop on the Future of Computer Vision and Pattern Recognition (QuoVadis-CVPR)”
  • Co-Organizers of CVPR’21 Workshop on “Causality in Vision”
  • Founding member of Saarbrücken Artificial Intelligence & Machine Learning (SAM) unit of the European Laboratory of Learning and Intelligent Systems (ELLIS)
  • Lecturer at Digital CISPA Summer School 2020
  • Co-Organizer of Third International Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS) at ECCV 2020
  • Co-Organizer: 4. ACM Symposium on Computer Science in Cars: Future Challenges in Artificial Intelligence & Security for Autonomous Vehicles CSCS’20
  • Keynote at Workshop Machine Learning for Cybersecurity, ECMLPKDD’19
  • Talk at Cyber Defense Campus (CYD) Conference on Artificial Intelligence in Defence and Security
  • Co-Organizer of Second International Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS) at CVPR 2019
  • Co-Organizer: 3. ACM Symposium on Computer Science in Cars: Future Challenges in Artificial Intelligence & Security for Autonomous Vehicles CSCS’19
  • Leading scientist at new Helmholtz Medical Security and Privacy Research Center
  • Member of ACM Technical Policy Committee Europe
  • Mateusz Malinowski received the DAGM MVTec dissertation award as well as the Dr.-Eduard-Martin award for his PhD
  • Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
2011 2013 2014 2015 2016 2017 2018 2019 2020 2021

Show all

2017

Journal Articles
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

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},
journal = {Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
keywords = {2016, 2017},
pubstate = {published},
tppubtype = {article}
}

Close

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

Close

2016

Inproceedings
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 Inproceedings

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 Inproceedings

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 Inproceedings

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 Inproceedings

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 Inproceedings

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 Inproceedings

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 Inproceedings

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 Inproceedings

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 Inproceedings

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 Inproceedings

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},
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},
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},
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},
type = {arXiv:1611.08860 [cs.CV]},
keywords = {2016},
pubstate = {published},
tppubtype = {techreport}
}

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

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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}
}

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  • https://arxiv.org/abs/1610.01076
  • https://arxiv.org/pdf/1610.01076.pdf

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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 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},
type = {arXiv:1609.04861 [cs.CV]},
keywords = {2016},
pubstate = {published},
tppubtype = {techreport}
}

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  • https://arxiv.org/abs/1609.04861
  • https://arxiv.org/pdf/1609.04861.pdf

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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}
}

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  • http://arxiv.org/abs/1605.07363
  • http://arxiv.org/pdf/1605.07363.pdf

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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},
journal = {arXiv:1605.02697 [cs.CV]},
type = {arXiv:1605.02697 [cs.CV]},
keywords = {2016},
pubstate = {published},
tppubtype = {techreport}
}

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

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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}
}

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  • 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

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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}
}

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  • http://arxiv.org/abs/1604.02388
  • http://arxiv.org/pdf/1604.02388.pdf

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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}
}

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  • http://arxiv.org/abs/1604.00066
  • http://arxiv.org/pdf/1604.00066.pdf

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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}
}

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  • http://homes.esat.kuleuven.be/~sgeorgou/DeLight/
  • http://arxiv.org/abs/1603.08240
  • http://arxiv.org/pdf/1603.08240.pdf

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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}
}

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

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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 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},
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

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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}
}

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

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