
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:
2017
Journal Articles
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}
}
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}
}