Publications on Google Scholar

Publications on Semantic Scholar

2022

Inproceedings

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

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

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

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

Links | BibTeX | Tags: 2022

2021

Journal Articles

Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations

Max Losch; Mario Fritz; Bernt Schiele

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

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

Links | BibTeX | Tags: 2021

Privacy considerations for sharing genomics data

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

Privacy considerations for sharing genomics data Journal Article

In: EXCLI Journal, 2021.

Links | BibTeX | Tags: 2021

Inproceedings

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

Ning Yu; Vladislav Skripniuk; Sahar Abdelnabi; Mario Fritz

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

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

Links | BibTeX | Tags: 2021

Dual Contrastive Loss and Attention for GANs

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

Dual Contrastive Loss and Attention for GANs Inproceedings

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

Links | BibTeX | Tags: 2021

Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis

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.

Links | BibTeX | Tags: 2021

Convolutional Dynamic Alignment Networks for Interpretable Classifications

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.

Links | BibTeX | Tags: 2021

Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers

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

Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers Inproceedings

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

Links | BibTeX | Tags: 2021

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

Hui-Po Wang; Ning Yu; Mario Fritz

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

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

Links | BibTeX | Tags: 2021

Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding

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.

Links | BibTeX | Tags: 2021

Future Moment Assessment for Action Query

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.

Links | BibTeX | Tags: 2021

Technical Reports

Backdoor Attacks on Network Certification via Data Poisoning

Tobias Lorenz; Marta Kwiatkowska; Mario Fritz

Backdoor Attacks on Network Certification via Data Poisoning Technical Report

arXiv:2108.11299, 2021.

Links | BibTeX | Tags: 2021

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

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

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

arXiv:2102.02551, 2021.

Links | BibTeX | Tags: 2021

Workshops

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

Sahar Abdelnabi; Mario Fritz

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

Moving Target Defense Workshop in conjuncture with CCS, 2021.

Links | BibTeX | Tags: 2021

SampleFix: Learning to Generate Functionally Diverse Fixes

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

SampleFix: Learning to Generate Functionally Diverse Fixes Workshop

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

Links | BibTeX | Tags: 2021

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

Hossein Hajipour; Mateusz Malinowski; Mario Fritz

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

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

Links | BibTeX | Tags: 2021

InfoScrub: Towards Attribute Privacy by Targeted Obfuscation

Hui-Po Wang; Tribhuvanesh Orekondy; Mario Fritz

InfoScrub: Towards Attribute Privacy by Targeted Obfuscation Workshop

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

Links | BibTeX | Tags: 2021

MLCapsule: Guarded Offline Deployment of Machine Learning as a Service

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

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

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

Links | BibTeX | Tags: 2021

2020

Journal Articles

 Person Recognition in Personal Photo Collections

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

Person Recognition in Personal Photo Collections Journal Article

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

Links | BibTeX | Tags: 2020

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

Hosnieh Sattar; Mario Fritz; Andreas Bulling

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

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

Links | BibTeX | Tags: 2020

Inproceedings

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

Dingfan Chen; Tribhuvanesh Orekondy; Mario Fritz

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

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

Links | BibTeX | Tags: 2020

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

Dingfan Chen; Ning Yu; Yang Zhang; Mario Fritz

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

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

Links | BibTeX | Tags: 2020

VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity

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.

Links | BibTeX | Tags: 2020

Haar Wavelet based Block Autoregressive Flows for Trajectories

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

Haar Wavelet based Block Autoregressive Flows for Trajectories Inproceedings

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

Links | BibTeX | Tags: 2020

Long-Tailed Recognition Using Class-Balanced Experts

Saurabh Sharma; Ning Yu; Mario Fritz; Bernt Schiele

Long-Tailed Recognition Using Class-Balanced Experts Inproceedings

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

Links | BibTeX | Tags: 2020

Semantic Bottlenecks: Quantifying & Improving Inspectability of Deep Representations

Max Losch; Mario Fritz; Bernt Schiele

Semantic Bottlenecks: Quantifying & Improving Inspectability of Deep Representations Inproceedings

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

Links | BibTeX | Tags: 2020

Towards Automated Testing and Robustification by Semantic Adversarial Data Generation

Rakshith Shetty; Mario Fritz; Bernt Schiele

Towards Automated Testing and Robustification by Semantic Adversarial Data Generation Inproceedings

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

Links | BibTeX | Tags: 2020

Inclusive GAN: Improving Data and Minority Coverage in Generative Models

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

Inclusive GAN: Improving Data and Minority Coverage in Generative Models Inproceedings

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

Links | BibTeX | Tags: 2020

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

Yang He; Shadi Rahimian; Bernt Schiele; Mario Fritz

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

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

Links | BibTeX | Tags: 2020

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

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

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

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

Links | BibTeX | Tags: 2020

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

Vedika Agarwal; Rakshith Shetty; Mario Fritz

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

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

Links | BibTeX | Tags: 2020

Normalizing Flows with Multi-scale Autoregressive Priors

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.

Links | BibTeX | Tags: 2020

Automatically Detecting Bystanders in Photos to Reduce Privacy Risks

Rakibul Hasan; David Crandall; Mario Fritz; Apu Kapadia

Automatically Detecting Bystanders in Photos to Reduce Privacy Risks Inproceedings

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

Links | BibTeX | Tags: 2020

Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks

Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz

Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks Inproceedings

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

Links | BibTeX | Tags: 2019

Technical Reports

CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning

Yang He; Maximilian Zenk; Mario Fritz

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

arXiv:2012.08241 , 2020.

Links | BibTeX | Tags: 2020

Responsible Disclosure of Generative Models Using Scalable Fingerprinting

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

Responsible Disclosure of Generative Models Using Scalable Fingerprinting Technical Report

arXiv:2012.08726 , 2020.

Links | BibTeX | Tags: 2020

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

Hui-Po Wang; Ning Yu; Mario Fritz

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

arXiv:2011.14107 , 2020.

Links | BibTeX | Tags: 2020

Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding

Sahar Abdelnabi; Mario Fritz

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

arXiv:2009.03015 [cs.CR], 2020.

Links | BibTeX | Tags: 2020

Black-Box Watermarking for Generative Adversarial Networks

Vladislav Skripniuk; Ning Yu; Sahar Abdelnabi; Mario Fritz

Black-Box Watermarking for Generative Adversarial Networks Technical Report

arXiv:2007.08457, 2020.

Links | BibTeX | Tags: 2020

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

Hossein Hajipour; Mateusz Malinowski; Mario Fritz

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

arXiv:2006.10720, 2020.

Links | BibTeX | Tags: 2020

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

Dingfan Chen; Tribhuvanesh Orekondy; Mario Fritz

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

arXiv:2006.08265 , 2020.

Links | BibTeX | Tags: 2020

InfoScrub: Towards Attribute Privacy by Targeted Obfuscation

Hui-Po Wang; Tribhuvanesh Orekondy; Mario Fritz

InfoScrub: Towards Attribute Privacy by Targeted Obfuscation Technical Report

arXiv:2005.10329 , 2020.

Links | BibTeX | Tags: 2019

 Inclusive GAN: Improving Data and Minority Coverage in Generative Models

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

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

2020.

Links | BibTeX | Tags: 2020

Long-Tailed Recognition Using Class-Balanced Experts

Saurabh Sharma; Ning Yu; Mario Fritz; Bernt Schiele

Long-Tailed Recognition Using Class-Balanced Experts Technical Report

arXiv:2004.03706 , 2020.

Links | BibTeX | Tags: 2020

Workshops

SampleFix: Learning to Correct Programs by Sampling Diverse Fixes

Hossein Hajipour; Apratim Bhattacharyya; Mario Fritz

SampleFix: Learning to Correct Programs by Sampling Diverse Fixes Workshop

NeurIPS Workshop on Computer-Assisted Programming, 2020.

Links | BibTeX | Tags: 2019, 2020

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

Hossein Hajipour; Mateusz Malinowski; Mario Fritz

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

NeurIPS Workshop on Computer-Assisted Programming, 2020.

Links | BibTeX | Tags: 2020

Haar Wavelet based Block Autoregressive Flows for Trajectories

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

Haar Wavelet based Block Autoregressive Flows for Trajectories Workshop

NeurIPS Workshop on Machine Learning for Autonomous Driving, 2020.

Links | BibTeX | Tags: 2020

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

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

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

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

Links | BibTeX | Tags: 2020

Synthetic Convolutional Features for Improved Semantic Segmentation

Yang He; Bernt Schiele; Mario Fritz

Synthetic Convolutional Features for Improved Semantic Segmentation Workshop

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

Links | BibTeX | Tags: 2020

2019

Journal Articles

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

Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling

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

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

Links | BibTeX | Tags: 2017, 2018, 2019

Incollections

Towards reverse-engineering black-box neural networks

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.

Links | BibTeX | Tags: 2019

Inproceedings

Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints

Ning Yu; Larry Davis; Mario Fritz

Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints Inproceedings

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

Links | BibTeX | Tags: 2019

Deep Appearance Maps

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

Deep Appearance Maps Inproceedings

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

Links | BibTeX | Tags: 2019

Knockoff Nets: Stealing Functionality of Black-Box Models

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.

Links | BibTeX | Tags: 2019

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

Rakshith Shetty; Bernt Schiele; Mario Fritz

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

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

Links | BibTeX | Tags: 2019

Time-Conditioned Action Anticipation in One Shot

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.

BibTeX | Tags: 2019

Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods

Apratim Bhattacharyya; Mario Fritz; Bernt Schiele

Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods Inproceedings

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

Links | BibTeX | Tags: 2019

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

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

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

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

Links | BibTeX | Tags: 2019

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

Hosnieh Sattar; Gerard Pons-Moll; Mario Fritz

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

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

Links | BibTeX | Tags: 2019

Technical Reports

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

Yang He; Shadi Rahimian; Bernt Schiele; Mario Fritz

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

arXiv:1912.09685, 2019.

Links | BibTeX | Tags: 2019, 2020

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

Vedika Agarwal; Rakshith Shetty; Mario Fritz

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

2019.

Links | BibTeX | Tags: 2019, 2020

"Best-of-Many-Samples" Distribution Matching

Apratim Bhattacharyya; Mario Fritz; Bernt Schiele

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

arXiv:1909.12598, 2019.

Links | BibTeX | Tags: 2019

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

Dingfan Chen; Ning Yu; Yang Zhang; Mario Fritz

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

arXiv:1909.03935, 2019.

Links | BibTeX | Tags: 2019

WhiteNet: Phishing Website Detection by Visual Whitelists

Sahar Abdelnabi; Katharina Krombholz; Mario Fritz

WhiteNet: Phishing Website Detection by Visual Whitelists Technical Report

arXiv:1909.00300, 2019.

Links | BibTeX | Tags: 2019

Conditional Flow Variational Autoencoders for Structured Sequence Prediction

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

Conditional Flow Variational Autoencoders for Structured Sequence Prediction Technical Report

arXiv:1908.09008, 2019.

Links | BibTeX | Tags: 2019

Interpretability Beyond Classification Output: Semantic Bottleneck Networks

Max Losch; Mario Fritz; Bernt Schiele

Interpretability Beyond Classification Output: Semantic Bottleneck Networks Technical Report

arXiv:1907.10882 , 2019.

Links | BibTeX | Tags: 2019

Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks

Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz

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

2019.

Links | BibTeX | Tags: 2019

SampleFix: Learning to Correct Programs by Sampling Diverse Fixes

Hossein Hajipour; Apratim Bhattacharyya; Mario Fritz

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

arXiv:1906.10502, 2019.

Links | BibTeX | Tags: 2019

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

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

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

arXiv:1905.11503 , 2019.

Links | BibTeX | Tags: 2019

Learning Manipulation under Physics Constraints with Visual Perception

Wenbin Li; Ales Leonardis; Jeannette Bohg; Mario Fritz

Learning Manipulation under Physics Constraints with Visual Perception Technical Report

2019.

Links | BibTeX | Tags: 2019

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

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

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

2019.

Links | BibTeX | Tags: 2019

Workshops

Differential Privacy Defenses and Sampling Attacks for Membership Inference

Shadi Rahimian; Tribhuvanesh Orekondy; Mario Fritz

Differential Privacy Defenses and Sampling Attacks for Membership Inference Workshop

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

Links | BibTeX | Tags: 2019

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

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

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

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

Links | BibTeX | Tags: 2019

Understanding and Recognizing Bystanders in Images for Privacy Protection

Rakibul Hasan; David Crandall; Mario Fritz; Apu Kapadia

Understanding and Recognizing Bystanders in Images for Privacy Protection Workshop

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

Links | BibTeX | Tags: 2019

2018

Journal Articles

Advanced Steel Microstructural Classification by Deep Learning Methods

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

Advanced Steel Microstructural Classification by Deep Learning Methods Journal Article

In: Scientific Reports, 2018.

Links | BibTeX | Tags: 2018

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

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

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

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

BibTeX | Tags: 2017, 2018

Inproceedings

Adversarial Scene Editing: Automatic Object Removal from Weak Supervision

Rakshith Shetty; Mario Fritz; Bernt Schiele

Adversarial Scene Editing: Automatic Object Removal from Weak Supervision Inproceedings

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

Links | BibTeX | Tags: 2018

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

Yang He; Bernt Schiele; Mario Fritz

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

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

Links | BibTeX | Tags: 2018

A Hybrid Model for Identity Obfuscation by Face Replacement

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

A Hybrid Model for Identity Obfuscation by Face Replacement Inproceedings

In: European Conference on Computer Vision, 2018.

Links | BibTeX | Tags: 2018

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

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

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

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

Links | BibTeX | Tags: 2018

Sequential Attacks on Agents for Long-Term Adversarial Goals

Edgar Tretschk; Seong Joon Oh; Mario Fritz

Sequential Attacks on Agents for Long-Term Adversarial Goals Inproceedings

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

BibTeX | Tags: 2018

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

Rakshith Shetty; Bernt Schiele; Mario Fritz

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

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

Links | BibTeX | Tags: 2018

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

Apratim Bhattacharyya; Bernt Schiele; Mario Fritz

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

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

Links | BibTeX | Tags: 2018

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

Tribhuvanesh Orekondy; Mario Fritz; Bernt Schiele

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

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

Links | BibTeX | Tags: 2018

Natural and Effective Obfuscation by Head Inpainting

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

Natural and Effective Obfuscation by Head Inpainting Inproceedings

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

Links | BibTeX | Tags: 2018

Disentangled Person Image Generation

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.

Links | BibTeX | Tags: 2018

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

Apratim Bhattacharyya; Mario Fritz; Bernt Schiele

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

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

Links | BibTeX | Tags: 2018

Towards Reverse-Engineering Black-Box Neural Networks

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).

Links | BibTeX | Tags: 2018

Long-Term Image Boundary Prediction

Apratim Bhattacharyya; Mateusz Malinowski; Bernt Schiele; Mario Fritz

Long-Term Image Boundary Prediction Inproceedings

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

Links | BibTeX | Tags: 2018

Technical Reports

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

Rakshith Shetty; Bernt Schiele; Mario Fritz

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

arXiv:1812.06707, 2018.

Links | BibTeX | Tags: 2018

Knockoff Nets: Stealing Functionality of Black-Box Models

Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz

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

arXiv:1812.02766, 2018.

Links | BibTeX | Tags: 2018

Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images

Ning Yu; Larry Davis; Mario Fritz

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

2018.

Links | BibTeX | Tags: 2018

MLCapsule: Guarded Offline Deployment of Machine Learning as a Service

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

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

arXiv:1808.00590 [cs.CR], 2018.

Links | BibTeX | Tags: 2018

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

Hosnieh Sattar; Gerard Pons-Moll; Mario Fritz

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

arXiv:1807.03235, 2018.

Links | BibTeX | Tags: 2018

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

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

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

arXiv:1806.01246 [cs.CR], 2018.

Links | BibTeX | Tags: 2018

Adversarial Scene Editing: Automatic Object Removal from Weak Supervision

Rakshith Shetty; Mario Fritz; Bernt Schiele

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

2018.

Links | BibTeX | Tags: 2018

Sequential Attacks on Agents for Long-Term Adversarial Goals

Edgar Tretschk; Seong Joon Oh; Mario Fritz

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

arXiv:1805.12487, 2018.

Links | BibTeX | Tags: 2018

Understanding and Controlling User Linkability in Decentralized Learning

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

Understanding and Controlling User Linkability in Decentralized Learning Technical Report

arXiv:1805.05838 [cs.CR], 2018.

Links | BibTeX | Tags: 2018

A Hybrid Model for Identity Obfuscation by Face Replacement

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

A Hybrid Model for Identity Obfuscation by Face Replacement Technical Report

arXiv:1804.04779 [cs.CV], 2018.

Links | BibTeX | Tags: 2018

Deep Appearance Maps

Maxim Maximov; Tobias Ritschel; Mario Fritz

Deep Appearance Maps Technical Report

arXiv:1804.00863 [cs.CV], 2018.

Links | BibTeX | Tags: 2018

2017

Journal Articles

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

Mateusz Malinowski; Marcus Rohrbach; Mario Fritz

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

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

Links | BibTeX | Tags: 2017

Novel Views of Objects from a Single Image

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

Novel Views of Objects from a Single Image Journal Article

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

Links | BibTeX | Tags: 2016, 2017

Inproceedings

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

Hosnieh Sattar; Andreas Bulling; Mario Fritz

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

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

Links | BibTeX | Tags: 2017

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

Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz

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

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

Links | BibTeX | Tags: 2017

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

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

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

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

Links | BibTeX | Tags: 2017

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

Seong Joon Oh; Mario Fritz; Bernt Schiele

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

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

Links | BibTeX | Tags: 2017

What Is Around The Camera?

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.

Links | BibTeX | Tags: 2017

Learning Dilation Factors for Semantic Segmentation of Street Scenes

Yang He; Margret Keuper; Bernt Schiele; Mario Fritz

Learning Dilation Factors for Semantic Segmentation of Street Scenes Inproceedings

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

Links | BibTeX | Tags: 2017

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

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

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

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

Links | BibTeX | Tags: 2017

A Domain Based Approach to Social Relation Recognition

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.

Links | BibTeX | Tags: 2017

Exploiting saliency for object segmentation from image level labels

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

Exploiting saliency for object segmentation from image level labels Inproceedings

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

Links | BibTeX | Tags: 2017

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

Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling

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

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

Links | BibTeX | Tags: 2017

Visual Stability Prediction for Robotic Manipulation

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).

Links | BibTeX | Tags: 2017

Miscellaneous

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

Apratim Bhattacharyya; Mario Fritz; Bernt Schiele

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

Conference on Robot Learning (CoRL), 2017.

Links | BibTeX | Tags: 2017

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

Seong Joon Oh; Mario Fritz; Bernt Schiele

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

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

Links | BibTeX | Tags: 2017

Visual Stability Prediction and Its Application to Manipulation

Wenbin Li; Ales Leonardis; Mario Fritz

Visual Stability Prediction and Its Application to Manipulation Miscellaneous

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

Links | BibTeX | Tags: 2017

Technical Reports

Disentangled Person Image Generation

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

Disentangled Person Image Generation Technical Report

arXiv:1712.02621 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

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

Tribhuvanesh Orekondy; Mario Fritz; Bernt Schiele

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

arXiv:1712.01066 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

Natural and Effective Obfuscation by Head Inpainting

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

Natural and Effective Obfuscation by Head Inpainting Technical Report

arXiv:1711.09001 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

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

Apratim Bhattacharyya; Mario Fritz; Bernt Schiele

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

arXiv:1711.09026 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

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

Rakshith Shetty; Bernt Schiele; Mario Fritz

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

arXiv:1711.01921, 2017.

Links | BibTeX | Tags: 2017

Whitening Black-Box Neural Networks

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

Whitening Black-Box Neural Networks Technical Report

arXiv:1711.01768, 2017.

Links | BibTeX | Tags: 2017

Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning

Wenbin Li; Jeannette Bohg; Mario Fritz

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

arXiv:1711.00267, 2017.

Links | BibTeX | Tags: 2017

Person Recognition in Social Media Photos

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

Person Recognition in Social Media Photos Technical Report

(arXiv:1710.03224 [cs.CV]), 2017.

Links | BibTeX | Tags: 2017

Advanced Steel Microstructure Classification by Deep Learning Methods

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

Advanced Steel Microstructure Classification by Deep Learning Methods Technical Report

arXiv:1706.06480 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

Visual Decoding of Targets During Visual Search From Human Eye Fixations

Hosnieh Sattar; Mario Fritz; Andreas Bulling

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

arXiv:1706.05993 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

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

Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz

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

arXiv:1703.10660 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

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

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

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

arXiv:1703.10476 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

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

Seong Joon Oh; Mario Fritz; Bernt Schiele

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

arXiv:1703.09471 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

Exploiting saliency for object segmentation from image level labels

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

Exploiting saliency for object segmentation from image level labels Technical Report

arXiv:1701.08261 [cs.CV], 2017.

Links | BibTeX | Tags: 2017

2016

Inproceedings

Faceless Person Recognition; Privacy Implications in Social Media

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

Faceless Person Recognition; Privacy Implications in Social Media Inproceedings

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

Links | BibTeX | Tags: 2016

VConv-DAE: Deep Volumetric Shape Learning Without Object Labels

Abhishek Sharma; Oliver Grau; Mario Fritz

VConv-DAE: Deep Volumetric Shape Learning Without Object Labels Inproceedings

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

Links | BibTeX | Tags: 2016

Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles

Wei-Chen Chiu; Fabio Galasso; Mario Fritz

Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles Inproceedings

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

Links | BibTeX | Tags: 2016

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

Ashkan Mokarian; Mateusz Malinowski; Mario Fritz

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

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

Links | BibTeX | Tags: 2016

Deep Reflectance Maps

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.

Links | BibTeX | Tags: 2016

Multi-Cue Zero-Shot Learning with Strong Supervision

Zeynep Akata; Mateusz Malinowski; Mario Fritz; Bernt Schiele

Multi-Cue Zero-Shot Learning with Strong Supervision Inproceedings

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

Links | BibTeX | Tags: 2016

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

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

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

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

Links | BibTeX | Tags: 2016

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

Jonas Scheer; Mario Fritz; Oliver Grau

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

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

BibTeX | Tags: 2016

Contextual Media Retrieval Using Natural Language Queries

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).

Links | BibTeX | Tags: 2016

Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space

Wenbin Li; Mario Fritz

Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space Inproceedings

In: IEEE Winter Conference on Applications of Computer Vision (WACV), 2016.

Links | BibTeX | Tags: 2016

Miscellaneous

Visual Stability Prediction and Its Application to Manipulation

Wenbin Li; Ales Leonardis; Mario Fritz

Visual Stability Prediction and Its Application to Manipulation Miscellaneous

NIPS Workshop on Intuitive Physics, 2016.

Links | BibTeX | Tags: 2016

Long Term Boundary Extrapolation for Deterministic Motion

Apratim Bhattacharyya; Mateusz Malinowski; Mario Fritz

Long Term Boundary Extrapolation for Deterministic Motion Miscellaneous

NIPS Workshop on Intuitive Physics, 2016.

Links | BibTeX | Tags: 2016

Faceless Person Recognition; Privacy Implications in Social Media

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

Faceless Person Recognition; Privacy Implications in Social Media Miscellaneous

4th Workshop on Web-scale Vision and Social Media (VSM), ECCV'16, 2016.

Links | BibTeX | Tags: 2016

Ask Your Neurons Again: Analysis of Deep Methods with Global Image Representation

Mateusz Malinowski; Mario Fritz

Ask Your Neurons Again: Analysis of Deep Methods with Global Image Representation Miscellaneous

VQA Challenge Workshop at CVPR, 2016.

Abstract | Links | BibTeX | Tags: 2016

PhD Theses

Bayesian Non-Parametrics for Multi-Modal Segmentation

Wei-Chen Chiu

Bayesian Non-Parametrics for Multi-Modal Segmentation PhD Thesis

2016.

Links | BibTeX | Tags: 2016

Technical Reports

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

Hosnieh Sattar; Andreas Bulling; Mario Fritz

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

arXiv:1611.10162 [cs.CV], 2016.

Links | BibTeX | Tags: 2016, 2017

Long-Term Image Boundary Extrapolation

Apratim Bhattacharyya; Mateusz Malinowski; Bernt Schiele; Mario Fritz

Long-Term Image Boundary Extrapolation Technical Report

arXiv:1611.08841 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

Natural Illumination from Multiple Materials Using Deep Learning

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

Natural Illumination from Multiple Materials Using Deep Learning Technical Report

arXiv:1611.09325 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

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

Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling

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

arXiv:1611.08860 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

Tutorial on Answering Questions about Images with Deep Learning

Mateusz Malinowski; Mario Fritz

Tutorial on Answering Questions about Images with Deep Learning Technical Report

arXiv:1610.01076 [cs.CV], 2016, (Tutorial given at 2nd Summer School on Integrating Vision and Language: Deep Learning).

Links | BibTeX | Tags: 2016

Visual Stability Prediction and Its Application to Manipulation

Wenbin Li; Ales Leonardis; Mario Fritz

Visual Stability Prediction and Its Application to Manipulation Technical Report

arXiv:1609.04861 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

Spatio-Temporal Image Boundary Extrapolation

Apratim Bhattacharyya; Mateusz Malinowski; Mario Fritz

Spatio-Temporal Image Boundary Extrapolation Technical Report

arXiv:1605.07363 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

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

Mateusz Malinowski; Marcus Rohrbach; Mario Fritz

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

arXiv:1605.02697 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

VConv-DAE: Deep Volumetric Shape Learning Without Object Labels

Abhishek Sharma; Oliver Grau; Mario Fritz

VConv-DAE: Deep Volumetric Shape Learning Without Object Labels Technical Report

arXiv:1604.03755 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling

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

RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling Technical Report

arXiv:1604.02388 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction

Wenbin Li; Seyedmajid Azimi; Ales Leonardis; Mario Fritz

To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction Technical Report

arXiv:1604.00066 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination

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

DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination Technical Report

arXiv:1602.00328 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

Multi-Cue Zero-Shot Learning with Strong Supervision

Zeynep Akata; Mateusz Malinowski; Mario Fritz; Bernt Schiele

Multi-Cue Zero-Shot Learning with Strong Supervision Technical Report

arXiv:1603.08754 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

Novel Views of Objects from a Single Image

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

Novel Views of Objects from a Single Image Technical Report

arXiv:1602.00328 [cs.CV], 2016.

Links | BibTeX | Tags: 2016

Contextual Media Retrieval Using Natural Language Queries

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

Contextual Media Retrieval Using Natural Language Queries Technical Report

arXiv:1602.04983 [cs.IR], 2016.

Links | BibTeX | Tags: 2016

2015

Journal Articles

Learning to detect visual grasp affordance

Hyun Oh Song; Mario Fritz; Daniel Goehring; Trevor Darrell

Learning to detect visual grasp affordance Journal Article

In: IEEE Transactions on Automation Science and Engineering (TASE), 2015.

Links | BibTeX | Tags: 2015

Inproceedings

Ask Your Neurons: A Neural-based Approach to Answering Questions about Images

Mateusz Malinowski; Marcus Rohrbach; Mario Fritz

Ask Your Neurons: A Neural-based Approach to Answering Questions about Images Inproceedings

In: IEEE International Conference on Computer Vision (ICCV), 2015, (oral).

Links | BibTeX | Tags: 2015

See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG

Wei-Chen Chiu; Mario Fritz

See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG Inproceedings

In: IEEE International Conference on Computer Vision (ICCV), 2015.

Links | BibTeX | Tags: 2015

Person Recognition in Personal Photo Collections

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.

Links | BibTeX | Tags: 2015

Teaching Robots the Use of Human Tools from Demonstration with Non-Dexterous End-Effectors

Wenbin Li; Mario Fritz

Teaching Robots the Use of Human Tools from Demonstration with Non-Dexterous End-Effectors Inproceedings

In: IEEE RAS International Conference on Humanoid Robots (HUMANOIDS), 2015, (to appear).

Links | BibTeX | Tags: 2015

 Appearance-based gaze estimation in the wild

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.

Links | BibTeX | Tags: 2015

Prediction of search targets from fixations in open-world settings

Hosnieh Sattar; Sabine Müller; Mario Fritz; Andreas Bulling

Prediction of search targets from fixations in open-world settings Inproceedings

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

Links | BibTeX | Tags: 2015

Joint Segmentation and Activity Discovery using Semantic and Temporal Priors

Julia Seiter; Wei-Chen Chiu; Mario Fritz; Oliver Amft; Gerhard Troester

Joint Segmentation and Activity Discovery using Semantic and Temporal Priors Inproceedings

In: IEEE Internation Conference on Pervasive Computing and Communication (PERCOM), 2015.

Links | BibTeX | Tags: 2014

Hard to Cheat: A Turing Test based on Answering Questions about Images

Mateusz Malinowski; Mario Fritz

Hard to Cheat: A Turing Test based on Answering Questions about Images Inproceedings

In: AAAI Workshop Beyond The Turing Test, 2015.

Links | BibTeX | Tags: 2015

Masters Theses

Contextual Media Retrieval Using Natural Language Queries

Sreyasi Nag Chowdhury

Contextual Media Retrieval Using Natural Language Queries Masters Thesis

Saarland University, 2015.

BibTeX | Tags: 2015

Miscellaneous

Bridging the Gap Between Synthetic and Real Data

Mario Fritz

Bridging the Gap Between Synthetic and Real Data Miscellaneous

Machine Learning with Interdependent and Non-identically Distributed Data (Dagstuhl Seminar 15152), 2015, (to appear).

Links | BibTeX | Tags: 2015

Technical Reports

Deep Reflectance Maps

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

Deep Reflectance Maps Technical Report

arXiv:1511.04384 [cs.CV], 2015.

Links | BibTeX | Tags: 2015

Person Recognition in Personal Photo Collections

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

Person Recognition in Personal Photo Collections Technical Report

arXiv:1509.03502 [cs.CV], 2015.

Links | BibTeX | Tags: 2015

 Appearance-based gaze estimation in the wild

Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling

Appearance-based gaze estimation in the wild Technical Report

arXiv:1504.02863, 2015.

Links | BibTeX | Tags: 2015

Prediction of search targets from fixations in open-world settings

Hosnieh Sattar; Sabine Müller; Mario Fritz; Andreas Bulling

Prediction of search targets from fixations in open-world settings Technical Report

arXiv:1502.05137 [cs.CV], 2015.

Links | BibTeX | Tags: 2015

Ask Your Neurons: A Neural-based Approach to Answering Questions about Images

Mateusz Malinowski; Marcus Rohrbach; Mario Fritz

Ask Your Neurons: A Neural-based Approach to Answering Questions about Images Technical Report

arXiv:1505.01121, 2015.

Links | BibTeX | Tags: 2015

See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG

Wei-Chen Chiu; Mario Fritz

See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG Technical Report

arXiv:1505.00663 [cs.CV], 2015.

Links | BibTeX | Tags: 2015

GazeDPM: Early Integration of Gaze Information in Deformable Part Models

Iaroslav Shcherbatyi; Andreas Bulling; Mario Fritz

GazeDPM: Early Integration of Gaze Information in Deformable Part Models Technical Report

arXiv:1505.05753 [cs.CV], 2015.

Links | BibTeX | Tags: 2015

2014

Inproceedings

A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input

Mateusz Malinowski; Mario Fritz

A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input Inproceedings

In: Neural Information Processing Systems (NIPS), 2014.

Links | BibTeX | Tags: 2014

Anytime Recognition of Objects and Scenes

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).

Links | BibTeX | Tags: 2014

Image-based Synthesis and Re-Synthesis of Viewpoints Guided by 3D Models

Konstantinos Rematas; Tobias Ritschel; Mario Fritz; Tinne Tuytelaars

Image-based Synthesis and Re-Synthesis of Viewpoints Guided by 3D Models Inproceedings

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014, (oral).

Links | BibTeX | Tags: 2014

Towards a Visual Turing Challenge

Mateusz Malinowski; Mario Fritz

Towards a Visual Turing Challenge Inproceedings

In: NIPS Workshop on Learning Semantics, 2014.

Links | BibTeX | Tags: 2014

Object Disambiguation for Augmented Reality Applications

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.

Links | BibTeX | Tags: 2014

Ubic: Bridging the Gap Between Digital Cryptography and the Physical World

Mark Simkin; Dominique Schröder; Andreas Bulling; Mario Fritz

Ubic: Bridging the Gap Between Digital Cryptography and the Physical World Inproceedings

In: European Symposium on Research in Computer Security (ESORICS), 2014.

Links | BibTeX | Tags: 2014

Scene Segmentation in Adverse Vision Conditions

Evgeny Levinkov

Scene Segmentation in Adverse Vision Conditions Inproceedings

In: Young Researcher Forum at GCPR based on master thesis supervised by Mario Fritz, 2014.

Links | BibTeX | Tags: 2014

Learning Multi-Scale Representations for Material Classification

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.

Links | BibTeX | Tags: 2014

Technical Reports

A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation

Mateusz Malinowski; Mario Fritz

A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation Technical Report

arXiv:1411.5190 [cs.CV], 2014.

Links | BibTeX | Tags: 2014

Learning Multi-Scale Representations for Material Classification

Wenbin Li; Mario Fritz

Learning Multi-Scale Representations for Material Classification Technical Report

arXiv:1408.2938 [cs.CV], 2014.

Links | BibTeX | Tags: 2014

Ubic: Bridging the gap between digital cryptography and the physical  world

Mark Simkin; Andreas Bulling; Mario Fritz; Dominique Schroeder

Ubic: Bridging the gap between digital cryptography and the physical world Technical Report

arXiv:1403.1343 [cs.CR], 2014.

Links | BibTeX | Tags: 2014

2013

Incollections

A Category-Level 3D Object Dataset: Putting the Kinect to Work

Allison Janoch; Sergey Karayev; Yangqing Jia; Jonathan T. Barron; Mario Fritz; Kate Saenko; Trevor Darrell

A Category-Level 3D Object Dataset: Putting the Kinect to Work Incollection

In: Fossati, Andrea; Gall, Juergen; Grabner, Helmut; Ren, Xiaofeng; Konolige, Kurt (Ed.): Consumer Depth Cameras for Computer Vision, Springer London, 2013.

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Inproceedings

Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling

Evgeny Levinkov; Mario Fritz

Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling Inproceedings

In: IEEE International Conference on Computer Vision (ICCV), 2013.

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Learning Smooth Pooling Regions for Visual Recognition

Mateusz Malinowski; Mario Fritz

Learning Smooth Pooling Regions for Visual Recognition Inproceedings

In: British Machine Vision Conference (BMVC), 2013.

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Dynamic Feature Selection for Classification on a Budget

Sergey Karayev; Mario Fritz; Trevor Darrell

Dynamic Feature Selection for Classification on a Budget Inproceedings

In: ICML Workshop on Prediction with Sequential Models, 2013.

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Multi-Class Video Co-Segmentation with a Generative Multi-Video Model

Wei-Chen Chiu; Mario Fritz

Multi-Class Video Co-Segmentation with a Generative Multi-Video Model Inproceedings

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.

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Masters Theses

 Scene Segmentation in Adverse Vision Conditions

Evgeny Levinkov

Scene Segmentation in Adverse Vision Conditions Masters Thesis

Saarland University, 2013.

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Multi-Scale Feature Learning for Material Recognition

Wenbin Li

Multi-Scale Feature Learning for Material Recognition Masters Thesis

Saarland University, 2013.

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Technical Reports

Learnable Pooling Regions for Image Classification

Mateusz Malinowski; Mario Fritz

Learnable Pooling Regions for Image Classification Technical Report

arXiv:1301.3516 [cs.CV], , 2013, (Workshop at International Conference on Learning Representations).

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2012

Journal Articles

A Geometric Approach To Robotic Laundry Folding

Stephen Miller; Jur van den Berg; Mario Fritz; Trevor Darrell; Ken Goldberg; Pieter Abbeel

A Geometric Approach To Robotic Laundry Folding Journal Article

In: International Journal of Robotics Research (IJRR), 2012.

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Inproceedings

Kernel Density Topic Models: Visual Topics Without Visual Words

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.

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Active Metric Learning for Object Recognition

Sandra Ebert; Mario Fritz; Bernt Schiele

Active Metric Learning for Object Recognition Inproceedings

In: DAGM/OAGM Symposium, 2012.

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Semi-Supervised Learning on a Budget: Scaling up to Large Datasets

Sandra Ebert; Mario Fritz; Bernt Schiele

Semi-Supervised Learning on a Budget: Scaling up to Large Datasets Inproceedings

In: Asian Conference on Computer Vision (ACCV), 2012.

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The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image

Konstantinos Rematas; Mario Fritz; Tinne Tuytelaars

The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image Inproceedings

In: Asian Conference on Computer Vision (ACCV), 2012.

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Timely Object Recognition

Sergey Karayev; Tobias Baumgartner; Mario Fritz; Trevor Darrell

Timely Object Recognition Inproceedings

In: Advances in Neural Information Processing Systems (NIPS), 2012.

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Sparselet Models for Efficient Multiclass Object Detection

Hyun Oh Song; Stefan Zickler; Tim Althoff; Ross Girshick; Mario Fritz; Christopher Geyer; Pedro Felzenszwalb; Trevor Darrell

Sparselet Models for Efficient Multiclass Object Detection Inproceedings

In: European Conference on Computer Vision (ECCV), 2012.

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Recognizing Materials from Virtual Examples

Wenbin Li; Mario Fritz

Recognizing Materials from Virtual Examples Inproceedings

In: European Conference on Computer Vision (ECCV), 2012.

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RALF: A Reinforced Active Learning Formulation for Object Class Recognition

Sandra Ebert; Mario Fritz; Schiele

RALF: A Reinforced Active Learning Formulation for Object Class Recognition Inproceedings

In: IEEE Computer Vision and Pattern Recognition (CVPR), 2012.

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2011

Inproceedings

Parameterized Shape Models for Clothing

Stephen Miller; Mario Fritz; Trevor Darrell; Pieter Abbeel

Parameterized Shape Models for Clothing Inproceedings

In: IEEE International Conference on Robotics and Automation (ICRA), 2011.

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A Probabilistic Model for Recursive Factorized Image Features

Sergey Karayev; Mario Fritz; Sanja Fidler; Trevor Darrell

A Probabilistic Model for Recursive Factorized Image Features Inproceedings

In: IEEE Computer Vision and Pattern Recognition (CVPR), 2011.

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Pick your Neighborhood -- Improving Labels and Neighborhood Structure for Label Propagation

Sandra Ebert; Mario Fritz; Bernt Schiele

Pick your Neighborhood -- Improving Labels and Neighborhood Structure for Label Propagation Inproceedings

In: Pattern Recognition, DAGM Symposium, 2011.

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Improving the Kinect by Cross-Modal Stereo

Wei-Chen Chiu; Ulf Blanke; Mario Fritz

Improving the Kinect by Cross-Modal Stereo Inproceedings

In: British Machine Vision Conference (BMVC), 2011.

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Practical 3-D Object Detection Using Category and Instance-level Appearance Models

Kate Saenko; Sergey Karayev; Yangqing Yia; Alex Shyr; Allie Janoch; Jonathan Long; Mario Fritz; Trevor Darrell

Practical 3-D Object Detection Using Category and Instance-level Appearance Models Inproceedings

In: IEEE International Conference on Intelligent Robots and Systems (IROS), 2011.

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Perception for the Manipulation of Socks

Ping Chuan Wang; Stephen Miller; Mario Fritz; Trevor Darrell; Pieter Abbeel

Perception for the Manipulation of Socks Inproceedings

In: IEEE International Conference on Intelligent Robots and Systems (IROS), 2011.

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The NBNN kernel

Tinne Tuytelaars; Mario Fritz; Kate Saenko; Trevor Darrell

The NBNN kernel Inproceedings

In: IEEE International Conference on Computer Vision (ICCV), 2011.

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I spy with my little eye: Learning Optimal Filters for Cross-Modal Stereo under Projected Patterns

Wei-Chen Chiu; Ulf Blanke; Mario Fritz

I spy with my little eye: Learning Optimal Filters for Cross-Modal Stereo under Projected Patterns Inproceedings

In: IEEE Workshop on Consumer Depth Cameras for Computer Vision, 2011.

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Visual Grasp Affordances From Appearance-Based Cues

Hyun Oh Song; Mario Fritz; Chunhui Gu; Trevor Darrell

Visual Grasp Affordances From Appearance-Based Cues Inproceedings

In: IEEE Workshop on Challenges and Opportunities in Robot Perception, 2011.

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A Category-Level 3-D Object Dataset: Putting the Kinect to Work

Allison Janoch; Sergey Karayev; Yangqing Jia; Jonathan T. Barron; Mario Fritz; Kate Saenko; Trevor Darrell

A Category-Level 3-D Object Dataset: Putting the Kinect to Work Inproceedings

In: IEEE Workshop on Consumer Depth Cameras for Computer Vision, 2011.

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Masters Theses

Optimization Algorithms in the Reconstruction of MR Images: A Comparative Study

Mateusz Malinowski

Optimization Algorithms in the Reconstruction of MR Images: A Comparative Study Masters Thesis

Saarland University, 2011.

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2010

Journal Articles

Tutor-based learning of visual categories using different levels of supervision

Mario Fritz; Geert-Jan M. Kruijff; Bernt Schiele

Tutor-based learning of visual categories using different levels of supervision Journal Article

In: Computer Vision and Image Understanding, 114 , pp. 564–573, 2010, ISSN: 1077-3142.

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Classifying materials in the real world

Barbara Caputo; Hayman, Eric; Mario Fritz; Eklundh, Jan-Olof

Classifying materials in the real world Journal Article

In: Image and Vision Computing, 28 , pp. 150–163, 2010, ISSN: 0262-8856.

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Incollections

Categorical Perception

Mario Fritz; Mykhaylo Andriluka; Sanja Fidler; Michael Stark; Ales Leonardis; Bernt Schiele

Categorical Perception Incollection

In: Cognitive Systems, Springer, 2010.

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Multi-Modal Learning

Danijel Skocaj; Matej Kristan; Alen Vrecko; Ales Leonardis; Mario Fritz; Michael Stark; Bernt Schiele; Somboon Hongeng; Jeremy L. Wyatt

Multi-Modal Learning Incollection

In: Cognitive Systems, Springer, 2010.

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Size Matters: Metric Visual Search Constraints from Monocular Metadata

Mario Fritz; Kate Saenko; Trevor Darrell

Size Matters: Metric Visual Search Constraints from Monocular Metadata Incollection

In: Advances in Neural Information Processing Systems (NIPS), 2010.

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Inproceedings

Adapting visual category models to new domains

Kate Saenko; Brian Kulis; Mario Fritz; Trevor Darrell

Adapting visual category models to new domains Inproceedings

In: European Conference on Computer Vision (ECCV), 2010.

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2009

Incollections

Towards Integration of Different Paradigms in Modeling, Representation and Learning of Visual Categories

Mario Fritz; Bernt Schiele

Towards Integration of Different Paradigms in Modeling, Representation and Learning of Visual Categories Incollection

In: Object Categorization: Computer and Human Vision Perspectives, Cambridge University Press, 2009.

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Inproceedings

Discriminative Structure Learning of Hierarchical Representations for Object Detection

Paul Schnitzspan; Mario Fritz; Stefan Roth; Bernt Schiele

Discriminative Structure Learning of Hierarchical Representations for Object Detection Inproceedings

In: IEEE Computer Vision and Pattern Recognition (CVPR), 2009.

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An Additive Latent Feature Model for Transparent Object Recognition

Mario Fritz; Michael Black; Gary Bradski; Sergey Karayev; Trevor Darrell

An Additive Latent Feature Model for Transparent Object Recognition Inproceedings

In: Advances in Neural Information Processing Systems (NIPS), 2009, ((oral)).

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PhD Theses

Modeling, Representing and Learning of Visual Categories

Mario Fritz

Modeling, Representing and Learning of Visual Categories PhD Thesis

TU Darmstadt, 2009.

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Proceedings

Computer Vision Systems, 7th International Conference on Computer Vision Systems, ICVS 2009, Liege, Belgium, October 13-15, 2009, Proceedings

Mario Fritz; Bernt Schiele; Justus H. Piater (Ed.)

Computer Vision Systems, 7th International Conference on Computer Vision Systems, ICVS 2009, Liege, Belgium, October 13-15, 2009, Proceedings Proceeding

Springer, 5815 , 2009, ISBN: 978-3-642-04666-7.

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2008

Inproceedings

Discovery of activity patterns using topic models

Tam Huynh; Mario Fritz; Bernt Schiele

Discovery of activity patterns using topic models Inproceedings

In: International Conference on Ubiquitous computing (UbiComp), 2008.

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Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features

Paul Schnitzspan; Mario Fritz; Bernt Schiele

Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features Inproceedings

In: European Conference on Computer Vision (ECCV), 2008.

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Decomposition, Discovery and Detection of Visual Categories Using Topic Models

Mario Fritz; Bernt Schiele

Decomposition, Discovery and Detection of Visual Categories Using Topic Models Inproceedings

In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.

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2007

Inproceedings

Towards Robust Pedestrian Detection in Crowded Image Sequences

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.

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Cross-Modal Learning of Visual Categories using Different Levels of Supervision

Mario Fritz; Geert-Jan Kruijff; Bernt Schiele

Cross-Modal Learning of Visual Categories using Different Levels of Supervision Inproceedings

In: International Conference on Vision Systems (ICVS), 2007.

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2006

Inproceedings

The 2005 PASCAL Visual Object Classes Challenge

Mark Everingham; Andrew Zisserman; Christopher K. I. Williams; Luc Van Gool; Moray Allan; Christopher M. Bishop; Olivier Chapelle; Navneet Dalal; Thomas Deselaers; Gyuri Dork'o; Stefan Duffner; Jan Eichhorn; Jason D. R. Farquhar; Mario Fritz; Christophe Garcia; Tom Griffiths; Fr'ed'eric Jurie; Thomas Keysers; Markus Koskela; Jorma Laaksonen; Larlus, Diane; Bastian Leibe; Hongying Meng; Hermann Ney; Bernt Schiele; Corde

The 2005 PASCAL Visual Object Classes Challenge Inproceedings

In: Selected Proceedings of the first PASCAL Challenges Workshop, 2006.

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Towards Unsupervised Discovery of Visual Categories

Mario Fritz; Bernt Schiele

Towards Unsupervised Discovery of Visual Categories Inproceedings

In: Pattern Recognition, DAGM Symposium, 2006.

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2005

Inproceedings

Integrating Representative and Discriminant Models for Object Category Detection

Mario Fritz; Bastian Leibe; Barbara Caputo; Bernt Schiele

Integrating Representative and Discriminant Models for Object Category Detection Inproceedings

In: IEEE International Conference on Computer Vision (ICCV), 2005.

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2004

Inproceedings

On the Significance of Real-World Conditions for Material Classification

Hayman, Eric; Barbara Caputo; Mario Fritz; Eklundh, Jan-Olof

On the Significance of Real-World Conditions for Material Classification Inproceedings

In: European Conference on Computer Vision (ECCV), 2004.

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Miscellaneous

Categorization by Local Information Using Support Vector Machines

Mario Fritz

Categorization by Local Information Using Support Vector Machines Miscellaneous

Master Thesis, 2004.

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2002

Inproceedings

Object Tracking and Pose Estimation Using Light-Field Object Models

Matthias Zobel; Mario Fritz; Ingo Scholz

Object Tracking and Pose Estimation Using Light-Field Object Models Inproceedings

In: Vision, Modeling, and Visualization Conference (VMV), 2002.

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Miscellaneous

3D Objektverfolgung mit Lichtfeldern (3D object tracking using light-fields)

Mario Fritz

3D Objektverfolgung mit Lichtfeldern (3D object tracking using light-fields) Miscellaneous

2002, (student thesis).

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