
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, privacy, AI:
Recent work on DeepFake detecting, misinformation, attribution,and responsible disclosure:
- CVPR’22: Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources
- ICLR’22: Responsible Disclosure of Generative Models Using Scalable Fingerprinting
- ICCV’21: Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
- S&P’21: Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding
- IJCAI’21: Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
- CVPR’21: Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs
- ICCV’19: Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints
Recent publications:
- ICML’22: ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
- CVPR’22: Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources
- CVPR’22: B-cos Networks: Alignment is All We Need for Interpretability
- CHIL’22: Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data
- ICLR’22: Responsible Disclosure of Generative Models Using Scalable Fingerprinting
- ICLR’22: RelaxLoss: Defending Membership Inference Attacks without Losing Utility
- Usenix’22: ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
- PETS’22: Understanding Utility and Privacy of Demographic Data in Education Technology by Causal Analysis and Adversarial-Censoring
- IJCV’21: Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations
- CCS-W’21: Differential Privacy Defenses and Sampling Attacks for Membership Inference
- CCS-W’21: “What’s in the box?!”: Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models
- PKDD-W’21: IReEn: Reverse-Engineering of Black-Box Functions via Iterative Neural Program Synthesis
- PKDD-W’21: SampleFix: Learning to Generate Functionally Diverse Fixes
- ICCV’21: Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
- ICCV’21: Dual Contrastive Loss and Attention for GANs
- EXCLI’21: Privacy Considerations for Sharing Genomics Data
- IJCAI’21: Beyond the Spectrum: Detecting Deepfakes 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
Most recent work on ArXiv:
- ArXiv’21: Backdoor Attacks on Network Certification via Data Poisoning
- ArXiv’21: ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
News, talks, events:
2022
Journal Articles
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.
@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}
}
Inproceedings
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 Inproceedings
In: USENIX Security Symposium (USENIX Security), 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}
}
Moritz Böhle; Mario Fritz; Bernt Schiele
B-cos Networks: Alignment is All We Need for Interpretability Inproceedings
In: Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
@inproceedings{boehle22cvpr,
title = {B-cos Networks: Alignment is All We Need for Interpretability},
author = {Moritz Böhle and Mario Fritz and Bernt Schiele},
year = {2022},
date = {2022-06-19},
urldate = {2022-06-19},
booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Sahar Abdelnabi; Rakibul Hasan; Mario Fritz
Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources Inproceedings
In: Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
@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}
}
Ning Yu; Vladislav Skripniuk; Dingfan Chen; Larry S. Davi; Mario Fritz
Responsible Disclosure of Generative Models Using Scalable Fingerprinting Inproceedings
In: International Conference on Representation Learning (ICLR), 2022.
@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}
}
Dingfan Chen; Ning Yu; Mario Fritz
RelaxLoss: Defending Membership Inference Attacks without Losing Utility Inproceedings
In: International Conference on Representation Learning (ICLR), 2022.
@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}
}
Shadi Rahimian; Raouf Kerkouche; Ina Kurth; Mario Fritz
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data Inproceedings
In: Conference on Health, Inference, and Learning (CHIL), 2022, (to appear).
@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},
booktitle = {Conference on Health, Inference, and Learning (CHIL)},
note = {to appear},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2021
Journal Articles
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.
@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}
}
Marie Oestreich; Dingfan Chen; Joachim L. Schultze; Mario Fritz; Matthias Becker
Privacy considerations for sharing genomics data Journal Article
In: EXCLI Journal, 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}
}
Inproceedings
Ning Yu; Vladislav Skripniuk; Sahar Abdelnabi; Mario Fritz
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data Inproceedings
In: International Conference on Computer Vision (ICCV), 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}
}
Ning Yu; Guilin Liu; Aysegul Dundar; Andrew Tao; Bryan Catanzaro; Larry Davis; Mario Fritz
Dual Contrastive Loss and Attention for GANs Inproceedings
In: International Conference on Computer Vision (ICCV), 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}
}
Yang He; Ning Yu; Margret Keuper; Mario Fritz
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis Inproceedings
In: 30th International Joint Conference on Artificial Intelligence (IJCAI), 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}
}
Moritz Bohle, Mario Fritz, Bernt Schiele
Convolutional Dynamic Alignment Networks for Interpretable Classifications Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 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}
}
Apratim Bhattacharyya; Daniel Olmeda Reino; Mario Fritz; Bernt Schiele
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 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}
}
Hui-Po Wang; Ning Yu; Mario Fritz
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 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}
}
Sahar Abdelnabi; Mario Fritz
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding Inproceedings
In: IEEE Symposium on Security and Privacy (S&P), 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}
}
Qiuhong Ke; Mario Fritz; Bernt Schiele
Future Moment Assessment for Action Query Inproceedings
In: IEEE Winter Conference on Applications of Computer Vision (WACV ’20), 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}
}
Technical Reports
Tobias Lorenz; Marta Kwiatkowska; Mario Fritz
Backdoor Attacks on Network Certification via Data Poisoning Technical Report
arXiv:2108.11299, 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}
}
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.
@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}
}
Workshops
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.
@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}
}
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.
@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}
}
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.
@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}
}
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.
@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}
}
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.
@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}
}
2020
Journal Articles
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.
@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}
}
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.
@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}
}
Inproceedings
Dingfan Chen; Tribhuvanesh Orekondy; Mario Fritz
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators Inproceedings
In: Neural Information Processing Systems (NeurIPS), 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}
}
Dingfan Chen; Ning Yu; Yang Zhang; Mario Fritz
GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs Inproceedings
In: ACM Conference on Computer and Communications Security (CCS) , 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}
}
Sahar Abdelnabi; Katharina Krombholz; Mario Fritz
VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity Inproceedings
In: ACM Conference on Computer and Communications Security (CCS) , 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}
}

Apratim Bhattacharyya; Christoph-Nikolas Straehle; Mario Fritz; Bernt Schiele
Haar Wavelet based Block Autoregressive Flows for Trajectories Inproceedings
In: German Conference on Pattern Recognition (GCPR), 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}
}
Saurabh Sharma; Ning Yu; Mario Fritz; Bernt Schiele
Long-Tailed Recognition Using Class-Balanced Experts Inproceedings
In: German Conference on Pattern Recognition (GCPR), 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}
}
Max Losch; Mario Fritz; Bernt Schiele
Semantic Bottlenecks: Quantifying & Improving Inspectability of Deep Representations Inproceedings
In: German Conference on Patter Recognition (GCPR), 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}
}
Rakshith Shetty; Mario Fritz; Bernt Schiele
Towards Automated Testing and Robustification by Semantic Adversarial Data Generation Inproceedings
In: European Conference on Computer Vision (ECCV), 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}
}
Ning Yu; Ke Li; Peng Zhou; Jitendra Malik; Larry S. Davis; Mario Fritz
Inclusive GAN: Improving Data and Minority Coverage in Generative Models Inproceedings
In: European Conference on Computer Vision (ECCV), 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}
}
Yang He; Shadi Rahimian; Bernt Schiele; Mario Fritz
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation Inproceedings
In: European Conference on Computer Vision (ECCV), 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}
}
Ahmed Salem; Apratim Bhattacharyya; Michael Backes; Mario Fritz; Yang Zhang
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning Inproceedings
In: USENIX Security Symposium (USENIX Security 20), 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}
}
Vedika Agarwal; Rakshith Shetty; Mario Fritz
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition, 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}
}
Apratim Bhattacharyya; Shweta Mahajan; Mario Fritz; Bernt Schiele; Stefan Roth
Normalizing Flows with Multi-scale Autoregressive Priors Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition, 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}
}
Rakibul Hasan; David Crandall; Mario Fritz; Apu Kapadia
Automatically Detecting Bystanders in Photos to Reduce Privacy Risks Inproceedings
In: IEEE Symposium on Security and Privacy (S&P), 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}
}
Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz
Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks Inproceedings
In: International Conference on Representation Learning (ICLR), 2020.
@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}
}
Technical Reports
Yang He; Maximilian Zenk; Mario Fritz
CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning Technical Report
arXiv:2012.08241 , 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}
}
Ning Yu; Vladislav Skripniuk; Dingfan Chen; Larry Davis; Mario Fritz
Responsible Disclosure of Generative Models Using Scalable Fingerprinting Technical Report
arXiv:2012.08726 , 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}
}
Hui-Po Wang; Ning Yu; Mario Fritz
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs Technical Report
arXiv:2011.14107 , 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}
}
Sahar Abdelnabi; Mario Fritz
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding Technical Report
arXiv:2009.03015 [cs.CR], 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}
}
Vladislav Skripniuk; Ning Yu; Sahar Abdelnabi; Mario Fritz
Black-Box Watermarking for Generative Adversarial Networks Technical Report
arXiv:2007.08457, 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}
}
Hossein Hajipour; Mateusz Malinowski; Mario Fritz
IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis Technical Report
arXiv:2006.10720, 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}
}
Dingfan Chen; Tribhuvanesh Orekondy; Mario Fritz
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators Technical Report
arXiv:2006.08265 , 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}
}
Hui-Po Wang; Tribhuvanesh Orekondy; Mario Fritz
InfoScrub: Towards Attribute Privacy by Targeted Obfuscation Technical Report
arXiv:2005.10329 , 2020.
@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}
}
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.
@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}
}
Saurabh Sharma; Ning Yu; Mario Fritz; Bernt Schiele
Long-Tailed Recognition Using Class-Balanced Experts Technical Report
arXiv:2004.03706 , 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}
}
Workshops
Hossein Hajipour; Apratim Bhattacharyya; Mario Fritz
SampleFix: Learning to Correct Programs by Sampling Diverse Fixes Workshop
NeurIPS Workshop on Computer-Assisted Programming, 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}
}
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.
@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}
}
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.
@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}
}
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.
@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}
}
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.
@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}
}
2019
Journal Articles
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.
@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}
}
Incollections
Seong Joon Oh; Bernt Schiele; Mario Fritz
Towards reverse-engineering black-box neural networks Incollection
In: Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 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}
}
Inproceedings
Ning Yu; Larry Davis; Mario Fritz
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints Inproceedings
In: International Conference on Computer Vision (ICCV), 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}
}
Maxim Maximov; Tobias Ritschel; Laura Leal-Taixe; Mario Fritz
Deep Appearance Maps Inproceedings
In: International Conference on Computer Vision (ICCV), 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}
}
Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz
Knockoff Nets: Stealing Functionality of Black-Box Models Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 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}
}
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 Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 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}
}
Qiuhong Ke; Mario Fritz; Bernt Schiele
Time-Conditioned Action Anticipation in One Shot Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 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}
}
Apratim Bhattacharyya; Mario Fritz; Bernt Schiele
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods Inproceedings
In: International Conference on Representation Learning (ICLR), 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}
}
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 Inproceedings
In: Annual Network and Distributed System Security Symposium (NDSS), 2019, (to appear).
@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},
booktitle = {Annual Network and Distributed System Security Symposium (NDSS)},
note = {to appear},
keywords = {2019},
pubstate = {published},
tppubtype = {inproceedings}
}
Hosnieh Sattar; Gerard Pons-Moll; Mario Fritz
Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources Inproceedings
In: IEEE Winter Conference on Applications of Computer Vision (WACV), 2019, (to appear).
@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)},
note = {to appear},
keywords = {2019},
pubstate = {published},
tppubtype = {inproceedings}
}
Technical Reports
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.
@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}
}
Vedika Agarwal; Rakshith Shetty; Mario Fritz
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing Technical Report
2019.
@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}
}
Apratim Bhattacharyya; Mario Fritz; Bernt Schiele
"Best-of-Many-Samples" Distribution Matching Technical Report
arXiv:1909.12598, 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}
}
Dingfan Chen; Ning Yu; Yang Zhang; Mario Fritz
GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs Technical Report
arXiv:1909.03935, 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}
}
Sahar Abdelnabi; Katharina Krombholz; Mario Fritz
WhiteNet: Phishing Website Detection by Visual Whitelists Technical Report
arXiv:1909.00300, 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}
}
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.
@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}
}
Max Losch; Mario Fritz; Bernt Schiele
Interpretability Beyond Classification Output: Semantic Bottleneck Networks Technical Report
arXiv:1907.10882 , 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}
}
Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz
Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks Technical Report
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}
}
Hossein Hajipour; Apratim Bhattacharyya; Mario Fritz
SampleFix: Learning to Correct Programs by Sampling Diverse Fixes Technical Report
arXiv:1906.10502, 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}
}
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.
@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}
}
Wenbin Li; Ales Leonardis; Jeannette Bohg; Mario Fritz
Learning Manipulation under Physics Constraints with Visual Perception Technical Report
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}
}
Ahmed Salem; Apratim Bhattacharyya; Michael Backes; Mario Fritz; Yang Zhang
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning Technical Report
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}
}
Workshops
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.
@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}
}
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.
@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}
}
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.
@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}
}
2018
Journal Articles
Seyedmajid Azimi; Dominik Britz; Michael Engstler; Mario Fritz; Frank Mücklich
Advanced Steel Microstructural Classification by Deep Learning Methods Journal Article
In: Scientific Reports, 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}
}
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.
@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}
}
Inproceedings
Rakshith Shetty; Mario Fritz; Bernt Schiele
Adversarial Scene Editing: Automatic Object Removal from Weak Supervision Inproceedings
In: Neural Information Processing Systems (NIPS), 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}
}
Yang He; Bernt Schiele; Mario Fritz
Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes Inproceedings
In: European Conference on Computer Vision (ECCV), 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}
}
Qianru Sun; Ayush Tewari; Weipeng Xu; Mario Fritz; Christian Theobalt; Bernt Schiele
A Hybrid Model for Identity Obfuscation by Face Replacement Inproceedings
In: European Conference on Computer Vision, 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}
}
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 Inproceedings
In: Visual Learning and Embodied Agents in Simulation Environments Workshop at European Conference on Computer Vision, 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}
}
Edgar Tretschk; Seong Joon Oh; Mario Fritz
Sequential Attacks on Agents for Long-Term Adversarial Goals Inproceedings
In: 2. ACM Computer Science in Cars Symposium -- Future Challenges in Artificial Intelligence & Security for Autonomous Vehicles, 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}
}
Rakshith Shetty; Bernt Schiele; Mario Fritz
A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation Inproceedings
In: 27th USENIX Security Symposium (USENIX Security 18), 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}
}
Apratim Bhattacharyya; Bernt Schiele; Mario Fritz
Accurate and Diverse Sampling of Sequences based on a “Best of Many” Sample Objective Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 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}
}
Tribhuvanesh Orekondy; Mario Fritz; Bernt Schiele
Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 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}
}
Qianru Sun; Liqian Ma; Seong Joon Oh; Luc Van Gool; Bernt Schiele; Mario Fritz
Natural and Effective Obfuscation by Head Inpainting Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 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}
}
Liqian Ma; Qianru Sun; Stamatios Georgoulis; Luc Van Gool; Bernt Schiele; Mario Fritz
Disentangled Person Image Generation Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 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}
}
Apratim Bhattacharyya; Mario Fritz; Bernt Schiele
Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 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}
}
Seong Joon Oh; Max Augustin; Bernt Schiele; Mario Fritz
Towards Reverse-Engineering Black-Box Neural Networks Inproceedings
In: Internation Conference on Representation Learning (ICLR), 2018, (to appear).
@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)},
note = {to appear},
keywords = {2018},
pubstate = {published},
tppubtype = {inproceedings}
}
Apratim Bhattacharyya; Mateusz Malinowski; Bernt Schiele; Mario Fritz
Long-Term Image Boundary Prediction Inproceedings
In: Association for the Advancement of Artificial Intelligence (AAAI), 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}
}
Technical Reports
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.
@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}
}
Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz
Knockoff Nets: Stealing Functionality of Black-Box Models Technical Report
arXiv:1812.02766, 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}
}
Ning Yu; Larry Davis; Mario Fritz
Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images Technical Report
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}
}
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.
@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}
}
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.
@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}
}
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.
@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}
}
Rakshith Shetty; Mario Fritz; Bernt Schiele
Adversarial Scene Editing: Automatic Object Removal from Weak Supervision Technical Report
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}
}
Edgar Tretschk; Seong Joon Oh; Mario Fritz
Sequential Attacks on Agents for Long-Term Adversarial Goals Technical Report
arXiv:1805.12487, 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}
}
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.
@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}
}
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.
@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}
}
Maxim Maximov; Tobias Ritschel; Mario Fritz
Deep Appearance Maps Technical Report
arXiv:1804.00863 [cs.CV], 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}
}
2017
Journal Articles
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).
@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}
}
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.
@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}
}
Inproceedings
Hosnieh Sattar; Andreas Bulling; Mario Fritz
Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling Inproceedings
In: Mutual Benefits of Cognitive and Computer Vision Workshop at International Conference on Computer Vision (ICCV-W), 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}
}
Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images Inproceedings
In: IEEE International Conference on Computer Vision (ICCV), 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}
}
Rakshith Shetty; Marcus Rohrbach; Lisa Anne Hendricks; Mario Fritz; Bernt Schiele
Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training Inproceedings
In: IEEE International Conference on Computer Vision (ICCV), 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}
}
Seong Joon Oh; Mario Fritz; Bernt Schiele
Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective Inproceedings
In: IEEE International Conference on Computer Vision (ICCV), 2017, 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}
}
Stamatios Georgoulis; Konstantinos Rematas; Tobias Ritschel; Mario Fritz; Tinne Tuytelaars; Luc Van Gool
What Is Around The Camera? Inproceedings
In: IEEE International Conference on Computer Vision (ICCV), 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}
}
Yang He; Margret Keuper; Bernt Schiele; Mario Fritz
Learning Dilation Factors for Semantic Segmentation of Street Scenes Inproceedings
In: German Conference on Pattern Recognition (GCPR), 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}
}
Yang He; Wei-Chen Chiu; Margret Keuper; Mario Fritz
STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 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}
}
Qianru Sun; Bernt Schiele; Mario Fritz
A Domain Based Approach to Social Relation Recognition Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 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}
}
Seong Joon Oh; Rodrigo Benenson; Anna Khoreva; Zeynep Akata; Mario Fritz; Bernt Schiele
Exploiting saliency for object segmentation from image level labels Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 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}
}
Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling
It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation Inproceedings
In: 1st International Workshop on Deep Affective Learning and Context Modeling at Computer Vision and Pattern Recognition Conference (CVPR-W), 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}
}
Wenbin Li; Ales Leonardis; Mario Fritz
Visual Stability Prediction for Robotic Manipulation Inproceedings
In: IEEE International Conference on Robotics and Automation (ICRA), 2017, (to appear).
@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}
}
Miscellaneous
Apratim Bhattacharyya; Mario Fritz; Bernt Schiele
Long-Term On-Board Prediction of Pedestrians in Traffic Scenes Miscellaneous
Conference on Robot Learning (CoRL), 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}
}
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.
@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}
}
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.
@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}
}
Technical Reports
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.
@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}
}
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.
@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}
}
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.
@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}
}
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.
@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}
}
Rakshith Shetty; Bernt Schiele; Mario Fritz
A4NT : Author Attribute Anonymity by Adversarial Training of Neural Machine Translation Technical Report
arXiv:1711.01921, 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}
}
Seong Joon Oh; Max Augustin; Bernt Schiele; Mario Fritz
Whitening Black-Box Neural Networks Technical Report
arXiv:1711.01768, 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}
}
Wenbin Li; Jeannette Bohg; Mario Fritz
Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning Technical Report
arXiv:1711.00267, 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}
}
Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele
Person Recognition in Social Media Photos Technical Report
no. arXiv:1710.03224 [cs.CV], 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}
}
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.
@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}
}
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.
@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}
}
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.
@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}
}
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.
@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}
}
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.
@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}
}
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.
@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}
}
2016
Inproceedings
Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele
Faceless Person Recognition; Privacy Implications in Social Media Inproceedings
In: European Conference on Computer Vision (ECCV), 2016, (to appear).
@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}
}
Abhishek Sharma; Oliver Grau; Mario Fritz
VConv-DAE: Deep Volumetric Shape Learning Without Object Labels Inproceedings
In: Geometry Meets Deep Learning Workshop at European Conference on Computer Vision (ECCV-W), 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}
}
Wei-Chen Chiu; Fabio Galasso; Mario Fritz
Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles Inproceedings
In: Asian Conference on Computer Vision (ACCV), 2016, (to appear).
@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}
}
Ashkan Mokarian; Mateusz Malinowski; Mario Fritz
Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task Inproceedings
In: British Machine Vision Conference (BMVC), 2016, (to appear).
@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}
}
Konstantinos Rematas; Tobias Ritschel; Mario Fritz; Efstratios Gavves; Tinne Tuytelaars
Deep Reflectance Maps Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 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}
}
Zeynep Akata; Mateusz Malinowski; Mario Fritz; Bernt Schiele
Multi-Cue Zero-Shot Learning with Strong Supervision Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 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}
}
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
In: The 14th International Conference on Mobile Systems, Applications, and Services (MobiSys'16), Singapore, 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}
}
Jonas Scheer; Mario Fritz; Oliver Grau
Learning to Select Long Track Features for Structure-From-Motion & Visual SLAM Inproceedings
In: German Conference on Pattern Recognition (GCPR), 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}
}
Sreyasi Nag Chowdhury; Mateusz Malinowski; Andreas Bulling; Mario Fritz
Contextual Media Retrieval Using Natural Language Queries Inproceedings
In: ACM International Conference on Multimedia Retrieval (ICMR), 2016, (to appear).
@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}
}
Wenbin Li; Mario Fritz
Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space Inproceedings
In: IEEE Winter Conference on Applications of Computer Vision (WACV), 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}
}
Miscellaneous
Wenbin Li; Ales Leonardis; Mario Fritz
Visual Stability Prediction and Its Application to Manipulation Miscellaneous
NIPS Workshop on Intuitive Physics, 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}
}
Apratim Bhattacharyya; Mateusz Malinowski; Mario Fritz
Long Term Boundary Extrapolation for Deterministic Motion Miscellaneous
NIPS Workshop on Intuitive Physics, 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}
}
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.
@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}
}

Mateusz Malinowski; Mario Fritz
Ask Your Neurons Again: Analysis of Deep Methods with Global Image Representation Miscellaneous
VQA Challenge Workshop at CVPR, 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}
}
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.
PhD Theses
Wei-Chen Chiu
Bayesian Non-Parametrics for Multi-Modal Segmentation PhD Thesis
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}
}
Technical Reports
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.
@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}
}
Apratim Bhattacharyya; Mateusz Malinowski; Bernt Schiele; Mario Fritz
Long-Term Image Boundary Extrapolation Technical Report
arXiv:1611.08841 [cs.CV], 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}
}
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.
@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}
}
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.
@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}
}
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).
@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}
}
Wenbin Li; Ales Leonardis; Mario Fritz
Visual Stability Prediction and Its Application to Manipulation Technical Report
arXiv:1609.04861 [cs.CV], 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}
}
Apratim Bhattacharyya; Mateusz Malinowski; Mario Fritz
Spatio-Temporal Image Boundary Extrapolation Technical Report
arXiv:1605.07363 [cs.CV], 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}
}
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.
@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}
}
Abhishek Sharma; Oliver Grau; Mario Fritz
VConv-DAE: Deep Volumetric Shape Learning Without Object Labels Technical Report
arXiv:1604.03755 [cs.CV], 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}
}
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.
@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}
}
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.
@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}
}
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.
@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}
}
Zeynep Akata; Mateusz Malinowski; Mario Fritz; Bernt Schiele
Multi-Cue Zero-Shot Learning with Strong Supervision Technical Report
arXiv:1603.08754 [cs.CV], 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}
}
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.
@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}
}
Sreyasi Nag Chowdhury; Mateusz Malinowski; Andreas Bulling; Mario Fritz
Contextual Media Retrieval Using Natural Language Queries Technical Report
arXiv:1602.04983 [cs.IR], 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}
}
2015
Journal Articles
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.
@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}
}
Inproceedings
Mateusz Malinowski; Marcus Rohrbach; Mario Fritz
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images Inproceedings
In: IEEE International Conference on Computer Vision (ICCV), 2015, (oral).
@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}
}
Wei-Chen Chiu; Mario Fritz
See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG Inproceedings
In: IEEE International Conference on Computer Vision (ICCV), 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}
}
Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele
Person Recognition in Personal Photo Collections Inproceedings
In: IEEE International Conference on Computer Vision (ICCV), 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}
}
Wenbin Li; Mario Fritz
Teaching Robots the Use of Human Tools from Demonstration with Non-Dexterous End-Effectors Inproceedings
In: IEEE RAS International Conference on Humanoid Robots (HUMANOIDS), 2015, (to appear).
@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}
}
Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling
Appearance-based gaze estimation in the wild Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 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}
}
Hosnieh Sattar; Sabine Müller; Mario Fritz; Andreas Bulling
Prediction of search targets from fixations in open-world settings Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 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}
}
Julia Seiter; Wei-Chen Chiu; Mario Fritz; Oliver Amft; Gerhard Troester
Joint Segmentation and Activity Discovery using Semantic and Temporal Priors Inproceedings
In: IEEE Internation Conference on Pervasive Computing and Communication (PERCOM), 2015.
@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}
}
Mateusz Malinowski; Mario Fritz
Hard to Cheat: A Turing Test based on Answering Questions about Images Inproceedings
In: AAAI Workshop Beyond The Turing Test, 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}
}
Masters Theses
Sreyasi Nag Chowdhury
Contextual Media Retrieval Using Natural Language Queries Masters Thesis
Saarland University, 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}
}
Miscellaneous
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).
@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}
}
Technical Reports
Konstantinos Rematas; Tobias Ritschel; Mario Fritz; Efstratios Gavves; Tinne Tuytelaars
Deep Reflectance Maps Technical Report
arXiv:1511.04384 [cs.CV], 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}
}
Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele
Person Recognition in Personal Photo Collections Technical Report
arXiv:1509.03502 [cs.CV], 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}
}
Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling
Appearance-based gaze estimation in the wild Technical Report
arXiv:1504.02863, 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}
}
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.
@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}
}
Mateusz Malinowski; Marcus Rohrbach; Mario Fritz
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images Technical Report
arXiv:1505.01121, 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}
}
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.
@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}
}
Iaroslav Shcherbatyi; Andreas Bulling; Mario Fritz
GazeDPM: Early Integration of Gaze Information in Deformable Part Models Technical Report
arXiv:1505.05753 [cs.CV], 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}
}
2014
Inproceedings
Mateusz Malinowski; Mario Fritz
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input Inproceedings
In: Neural Information Processing Systems (NIPS), 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}
}
Sergey Karayev; Mario Fritz; Trevor Darrell
Anytime Recognition of Objects and Scenes Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014, (oral).
@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}
}
Konstantinos Rematas; Tobias Ritschel; Mario Fritz; Tinne Tuytelaars
Image-based Synthesis and Re-Synthesis of Viewpoints Guided by 3D Models Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014, (oral).
@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}
}
Mateusz Malinowski; Mario Fritz
Towards a Visual Turing Challenge Inproceedings
In: NIPS Workshop on Learning Semantics, 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}
}
Wei-Chen Chiu; Gregory S. Johnson; Daniel Mcculley; Oliver Grau; Mario Fritz
Object Disambiguation for Augmented Reality Applications Inproceedings
In: British Machine Vision Conference (BMVC), 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}
}
Mark Simkin; Dominique Schröder; Andreas Bulling; Mario Fritz
Ubic: Bridging the Gap Between Digital Cryptography and the Physical World Inproceedings
In: European Symposium on Research in Computer Security (ESORICS), 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}
}
Evgeny Levinkov
Scene Segmentation in Adverse Vision Conditions Inproceedings
In: Young Researcher Forum at GCPR based on master thesis supervised by Mario Fritz, 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}
}
Wenbin Li
Learning Multi-Scale Representations for Material Classification Inproceedings
In: Young Researcher Forum at GCPR based on master thesis supervised by Mario Fritz, 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}
}
Technical Reports
Mateusz Malinowski; Mario Fritz
A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation Technical Report
arXiv:1411.5190 [cs.CV], 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}
}
Wenbin Li; Mario Fritz
Learning Multi-Scale Representations for Material Classification Technical Report
arXiv:1408.2938 [cs.CV], 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}
}
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.
@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}
}
2013
Incollections
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 Incollection
In: Fossati, Andrea; Gall, Juergen; Grabner, Helmut; Ren, Xiaofeng; Konolige, Kurt (Ed.): Consumer Depth Cameras for Computer Vision, Springer London, 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}
}
Inproceedings
Evgeny Levinkov; Mario Fritz
Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling Inproceedings
In: IEEE International Conference on Computer Vision (ICCV), 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}
}
Mateusz Malinowski; Mario Fritz
Learning Smooth Pooling Regions for Visual Recognition Inproceedings
In: British Machine Vision Conference (BMVC), 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}
}
Sergey Karayev; Mario Fritz; Trevor Darrell
Dynamic Feature Selection for Classification on a Budget Inproceedings
In: ICML Workshop on Prediction with Sequential Models, 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}
}
Wei-Chen Chiu; Mario Fritz
Multi-Class Video Co-Segmentation with a Generative Multi-Video Model Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
@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}
}
Masters Theses
Evgeny Levinkov
Scene Segmentation in Adverse Vision Conditions Masters Thesis
Saarland University, 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}
}
Wenbin Li
Multi-Scale Feature Learning for Material Recognition Masters Thesis
Saarland University, 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}
}
Technical Reports
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).
@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}
}
2012
Journal Articles
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.
@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}
}
Inproceedings
Konstantinos Rematas; Mario Fritz; Tinne Tuytelaars
Kernel Density Topic Models: Visual Topics Without Visual Words Inproceedings
In: NIPS Workshop Modern Non-Parametric Methods in Machine Learning, 2012.
@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}
}
Sandra Ebert; Mario Fritz; Bernt Schiele
Active Metric Learning for Object Recognition Inproceedings
In: DAGM/OAGM Symposium, 2012.
@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}
}
Sandra Ebert; Mario Fritz; Bernt Schiele
Semi-Supervised Learning on a Budget: Scaling up to Large Datasets Inproceedings
In: Asian Conference on Computer Vision (ACCV), 2012.
@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}
}
Konstantinos Rematas; Mario Fritz; Tinne Tuytelaars
The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image Inproceedings
In: Asian Conference on Computer Vision (ACCV), 2012.
@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}
}
Sergey Karayev; Tobias Baumgartner; Mario Fritz; Trevor Darrell
Timely Object Recognition Inproceedings
In: Advances in Neural Information Processing Systems (NIPS), 2012.
@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}
}
Hyun Oh Song; Stefan Zickler; Tim Althoff; Ross Girshick; Mario Fritz; Christopher Geyer; Pedro Felzenszwalb; Trevor Darrell
Sparselet Models for Efficient Multiclass Object Detection Inproceedings
In: European Conference on Computer Vision (ECCV), 2012.
@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}
}
Wenbin Li; Mario Fritz
Recognizing Materials from Virtual Examples Inproceedings
In: European Conference on Computer Vision (ECCV), 2012.
@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}
}
Sandra Ebert; Mario Fritz; Schiele
RALF: A Reinforced Active Learning Formulation for Object Class Recognition Inproceedings
In: IEEE Computer Vision and Pattern Recognition (CVPR), 2012.
@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}
}
2011
Inproceedings
Stephen Miller; Mario Fritz; Trevor Darrell; Pieter Abbeel
Parameterized Shape Models for Clothing Inproceedings
In: IEEE International Conference on Robotics and Automation (ICRA), 2011.
@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}
}
Sergey Karayev; Mario Fritz; Sanja Fidler; Trevor Darrell
A Probabilistic Model for Recursive Factorized Image Features Inproceedings
In: IEEE Computer Vision and Pattern Recognition (CVPR), 2011.
@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}
}
Sandra Ebert; Mario Fritz; Bernt Schiele
Pick your Neighborhood -- Improving Labels and Neighborhood Structure for Label Propagation Inproceedings
In: Pattern Recognition, DAGM Symposium, 2011.
@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}
}
Wei-Chen Chiu; Ulf Blanke; Mario Fritz
Improving the Kinect by Cross-Modal Stereo Inproceedings
In: British Machine Vision Conference (BMVC), 2011.
@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}
}
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 Inproceedings
In: IEEE International Conference on Intelligent Robots and Systems (IROS), 2011.
@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}
}
Ping Chuan Wang; Stephen Miller; Mario Fritz; Trevor Darrell; Pieter Abbeel
Perception for the Manipulation of Socks Inproceedings
In: IEEE International Conference on Intelligent Robots and Systems (IROS), 2011.
@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}
}
Tinne Tuytelaars; Mario Fritz; Kate Saenko; Trevor Darrell
The NBNN kernel Inproceedings
In: IEEE International Conference on Computer Vision (ICCV), 2011.
@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}
}
Wei-Chen Chiu; Ulf Blanke; Mario Fritz
I spy with my little eye: Learning Optimal Filters for Cross-Modal Stereo under Projected Patterns Inproceedings
In: IEEE Workshop on Consumer Depth Cameras for Computer Vision, 2011.
@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}
}
Hyun Oh Song; Mario Fritz; Chunhui Gu; Trevor Darrell
Visual Grasp Affordances From Appearance-Based Cues Inproceedings
In: IEEE Workshop on Challenges and Opportunities in Robot Perception, 2011.
@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}
}
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 Inproceedings
In: IEEE Workshop on Consumer Depth Cameras for Computer Vision, 2011.
@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}
}
Masters Theses
Mateusz Malinowski
Optimization Algorithms in the Reconstruction of MR Images: A Comparative Study Masters Thesis
Saarland University, 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}
}
2010
Journal Articles
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.
@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}
}
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.
@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}
}
Incollections
Mario Fritz; Mykhaylo Andriluka; Sanja Fidler; Michael Stark; Ales Leonardis; Bernt Schiele
Categorical Perception Incollection
In: Cognitive Systems, Springer, 2010.
@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}
}
Danijel Skocaj; Matej Kristan; Alen Vrecko; Ales Leonardis; Mario Fritz; Michael Stark; Bernt Schiele; Somboon Hongeng; Jeremy L. Wyatt
Multi-Modal Learning Incollection
In: Cognitive Systems, Springer, 2010.
@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}
}
Mario Fritz; Kate Saenko; Trevor Darrell
Size Matters: Metric Visual Search Constraints from Monocular Metadata Incollection
In: Advances in Neural Information Processing Systems (NIPS), 2010.
@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}
}
Inproceedings
Kate Saenko; Brian Kulis; Mario Fritz; Trevor Darrell
Adapting visual category models to new domains Inproceedings
In: European Conference on Computer Vision (ECCV), 2010.
@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}
}
2009
Incollections
Mario Fritz; Bernt Schiele
Towards Integration of Different Paradigms in Modeling, Representation and Learning of Visual Categories Incollection
In: Object Categorization: Computer and Human Vision Perspectives, Cambridge University Press, 2009.
@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}
}
Inproceedings
Paul Schnitzspan; Mario Fritz; Stefan Roth; Bernt Schiele
Discriminative Structure Learning of Hierarchical Representations for Object Detection Inproceedings
In: IEEE Computer Vision and Pattern Recognition (CVPR), 2009.
@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}
}
Mario Fritz; Michael Black; Gary Bradski; Sergey Karayev; Trevor Darrell
An Additive Latent Feature Model for Transparent Object Recognition Inproceedings
In: Advances in Neural Information Processing Systems (NIPS), 2009, ((oral)).
@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}
}
PhD Theses
Mario Fritz
Modeling, Representing and Learning of Visual Categories PhD Thesis
TU Darmstadt, 2009.
@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}
}
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 Proceeding
Springer, vol. 5815, 2009, ISBN: 978-3-642-04666-7.
@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}
}
2008
Inproceedings
Tam Huynh; Mario Fritz; Bernt Schiele
Discovery of activity patterns using topic models Inproceedings
In: International Conference on Ubiquitous computing (UbiComp), 2008.
@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}
}
Paul Schnitzspan; Mario Fritz; Bernt Schiele
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features Inproceedings
In: European Conference on Computer Vision (ECCV), 2008.
@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}
}
Mario Fritz; Bernt Schiele
Decomposition, Discovery and Detection of Visual Categories Using Topic Models Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
@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}
}
2007
Inproceedings
Edgar Seemann; Mario Fritz; Bernt Schiele
Towards Robust Pedestrian Detection in Crowded Image Sequences Inproceedings
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007.
@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}
}
Mario Fritz; Geert-Jan Kruijff; Bernt Schiele
Cross-Modal Learning of Visual Categories using Different Levels of Supervision Inproceedings
In: International Conference on Vision Systems (ICVS), 2007.
@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}
}
2006
Inproceedings

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 Inproceedings
In: Selected Proceedings of the first PASCAL Challenges Workshop, 2006.
@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}
}
Mario Fritz; Bernt Schiele
Towards Unsupervised Discovery of Visual Categories Inproceedings
In: Pattern Recognition, DAGM Symposium, 2006.
@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}
}
2005
Inproceedings
Mario Fritz; Bastian Leibe; Barbara Caputo; Bernt Schiele
Integrating Representative and Discriminant Models for Object Category Detection Inproceedings
In: IEEE International Conference on Computer Vision (ICCV), 2005.
@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}
}
2004
Inproceedings
Hayman, Eric; Barbara Caputo; Mario Fritz; Eklundh, Jan-Olof
On the Significance of Real-World Conditions for Material Classification Inproceedings
In: European Conference on Computer Vision (ECCV), 2004.
@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}
}
Miscellaneous
Mario Fritz
Categorization by Local Information Using Support Vector Machines Miscellaneous
Master Thesis, 2004.
@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}
}
2002
Inproceedings
Matthias Zobel; Mario Fritz; Ingo Scholz
Object Tracking and Pose Estimation Using Light-Field Object Models Inproceedings
In: Vision, Modeling, and Visualization Conference (VMV), 2002.
@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}
}
Miscellaneous
Mario Fritz
3D Objektverfolgung mit Lichtfeldern (3D object tracking using light-fields) Miscellaneous
2002, (student thesis).
@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}
}