| 2026 | ACL | Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews. | Sai Suresh Macharla Vasu, Ivaxi Sheth, Hui-Po Wang, Ruta Binkyte, Mario Fritz |
| 2026 | ACL | ProxyPrompt: Securing System Prompts against Prompt Extraction Attacks. | Zhixiong Zhuang, Maria-Irina Nicolae, Hui-Po Wang, Mario Fritz |
| 2026 | EACL | Funny or Persuasive, but Not Both: Evaluating Fine-Grained Multi-Concept Control in LLMs. | Arya Labroo, Ivaxi Sheth, Vyas Raina, Amaani Ahmed, Mario Fritz |
| 2026 | WACV | Deepfake Detection that Generalizes Across Benchmarks. | Andrii Yermakov, Jan Cech, Jiri Matas, Mario Fritz |
| 2026 | SP | Inspectable AI for Science: A Research Object Approach to Generative AI Governance. | Ruta Binkyte, Sharif Abuaddba, Chamikara Mahawaga Arachchige, Ming Ding, Natasha Fernandes, Mario Fritz |
| 2025 | AAAI | Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment. | Yaling Shen, Zhixiong Zhuang, Kun Yuan, Maria-Irina Nicolae, Nassir Navab, Nicolas Padoy, Mario Fritz |
| 2025 | ACL | Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation. | Yuxuan Zhou, Margret Keuper, Mario Fritz |
| 2025 | ACL | A Theory of Response Sampling in LLMs: Part Descriptive and Part Prescriptive. | Sarath Sivaprasad, Pramod Kaushik, Sahar Abdelnabi, Mario Fritz |
| 2025 | CCS | CSCS '25 - Cyber Security in CarS Workshop. | Hans-Joachim Hof, Mario Fritz, Christoph Krau |
| 2025 | CCS | 3D-Sec '25: The 1st ACM Workshop on Deepfake, Deception, and Disinformation Security. | Simon S. Woo, Shahroz Tariq, Sharif Abuadbba, Kristen Moore, Tim Walita, Bimal Viswanath, Mario Fritz |
| 2025 | DIMVA | Exploring the Potential of LLMs for Code Deobfuscation. | David Beste, Grgoire Menguy, Hossein Hajipour, Mario Fritz, Antonio Emanuele Cin, Sbastien Bardin, Thorsten Holz, Thorsten Eisenhofer, Lea Schnherr |
| 2025 | EMNLP | Accept or Deny? Evaluating LLM Fairness and Performance in Loan Approval across Table-to-Text Serialization Approaches. | Israel Abebe Azime, Deborah Dormah Kanubala, Tejumade Afonja, Mario Fritz, Isabel Valera, Dietrich Klakow, Philipp Slusallek |
| 2025 | EMNLP | Context-Aware Reasoning On Parametric Knowledge for Inferring Causal Variables. | Ivaxi Sheth, Sahar Abdelnabi, Mario Fritz |
| 2025 | ICLR | DocMIA: Document-Level Membership Inference Attacks against DocVQA Models. | Khanh Nguyen, Raouf Kerkouche, Mario Fritz, Dimosthenis Karatzas |
| 2025 | ICLR | Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? | Egor Zverev, Sahar Abdelnabi, Soroush Tabesh, Mario Fritz, Christoph H. Lampert |
| 2025 | ICML | Pixel-level Certified Explanations via Randomized Smoothing. | Alaa Anani, Tobias Lorenz, Mario Fritz, Bernt Schiele |
| 2025 | ICML | Stealix: Model Stealing via Prompt Evolution. | Zhixiong Zhuang, Hui-Po Wang, Maria-Irina Nicolae, Mario Fritz |
| 2025 | MICCAI | Automated Detection of Abnormalities in Zebrafish Development. | Sarath Sivaprasad, Hui-Po Wang, Anna-Lisa Jckel, Jonas Baumann, Carole Baumann, Jennifer Herrmann, Mario Fritz |
| 2025 | NAACL | CausalGraph2LLM: Evaluating LLMs for Causal Queries. | Ivaxi Sheth, Bahare Fatemi, Mario Fritz |
| 2025 | SEC | Certifiably Robust Malware Detectors by Design. | Pierre-Franois Gimenez, Sarath Sivaprasad, Mario Fritz |
| 2024 | CCS | CSCS '24 - Cyber Security in CarS Workshop. | Mario Fritz, Christoph Krau, Hans-Joachim Hof |
| 2024 | ECAI | Inside the Black Box: Detecting Data Leakage in Pre-Trained Language Encoders. | Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes, Yang Zhang |
| 2024 | EMNLP | LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History. | Akash Gupta, Ivaxi Sheth, Vyas Raina, Mark J. F. Gales, Mario Fritz |
| 2024 | ICDAR | Privacy-Aware Document Visual Question Answering. | Rubn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Joonas Jlk, Vincent Poulain D'Andecy, Aurlie Joseph, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas |
| 2024 | ICLR | On Adversarial Training without Perturbing all Examples. | Max Maria Losch, Mohamed Omran, David Stutz, Mario Fritz, Bernt Schiele |
| 2024 | ICML | MultiMax: Sparse and Multi-Modal Attention Learning. | Yuxuan Zhou, Mario Fritz, Margret Keuper |
| 2024 | ICML | Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing. | Alaa Anani, Tobias Lorenz, Bernt Schiele, Mario Fritz |
| 2024 | ICML | Stealthy Imitation: Reward-guided Environment-free Policy Stealing. | Zhixiong Zhuang, Maria-Irina Nicolae, Mario Fritz |
| 2024 | NAACL | SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models. | Hossein Hajipour, Ning Yu, Cristian-Alexandru Staicu, Mario Fritz |
| 2024 | NAACL | PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics. | Derui Zhu, Dingfan Chen, Qing Li, Zongxiong Chen, Lei Ma, Jens Grossklags, Mario Fritz |
| 2023 | ACSAC | From Attachments to SEO: Click Here to Learn More about Clickbait PDFs! | Giada Stivala, Sahar Abdelnabi, Andrea Mengascini, Mariano Graziano, Mario Fritz, Giancarlo Pellegrino |
| 2023 | CCS | Certifiers Make Neural Networks Vulnerable to Availability Attacks. | Tobias Lorenz, Marta Kwiatkowska, Mario Fritz |
| 2023 | CCS | Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection. | Sahar Abdelnabi, Kai Greshake, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz |
| 2022 | CVPR | Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources. | Sahar Abdelnabi, Rakibul Hasan, Mario Fritz |
| 2022 | CVPR | B-cos Networks: Alignment is All We Need for Interpretability. | Moritz Bhle, Mario Fritz, Bernt Schiele |
| 2022 | ICLR | RelaxLoss: Defending Membership Inference Attacks without Losing Utility. | Dingfan Chen, Ning Yu, Mario Fritz |
| 2022 | ICLR | Responsible Disclosure of Generative Models Using Scalable Fingerprinting. | Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry S. Davis, Mario Fritz |
| 2022 | ICML | ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training. | Hui-Po Wang, Sebastian U. Stich, Yang He, Mario Fritz |
| 2021 | CCS | What's in the box: Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models. | Sahar Abdelnabi, Mario Fritz |
| 2021 | CCS | Differential Privacy Defenses and Sampling Attacks for Membership Inference. | Shadi Rahimian, Tribhuvanesh Orekondy, Mario Fritz |
| 2021 | CVPR | Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers. | Apratim Bhattacharyya, Daniel Olmeda Reino, Mario Fritz, Bernt Schiele |
| 2021 | CVPR | Convolutional Dynamic Alignment Networks for Interpretable Classifications. | Moritz Bhle, Mario Fritz, Bernt Schiele |
| 2021 | CVPR | MLCapsule: Guarded Offline Deployment of Machine Learning as a Service. | Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Maximilian Augustin, Michael Backes, Mario Fritz |
| 2021 | CVPR | InfoScrub: Towards Attribute Privacy by Targeted Obfuscation. | Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz |
| 2021 | CVPR | Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs. | Hui-Po Wang, Ning Yu, Mario Fritz |
| 2021 | ICCV | Dual Contrastive Loss and Attention for GANs. | Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz |
| 2021 | ICCV | Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data. | Ning Yu, Vladislav Skripniuk, Sahar Abdelnabi, Mario Fritz |
| 2021 | IJCAI | Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. | Yang He, Ning Yu, Margret Keuper, Mario Fritz |
| 2021 | WACV | Future Moment Assessment for Action Query. | Qiuhong Ke, Mario Fritz, Bernt Schiele |
| 2021 | SP | Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding. | Sahar Abdelnabi, Mario Fritz |
| 2020 | CCS | VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity. | Sahar Abdelnabi, Katharina Krombholz, Mario Fritz |
| 2020 | CCS | GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models. | Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz |
| 2020 | CVPR | Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing. | Vedika Agarwal, Rakshith Shetty, Mario Fritz |
| 2020 | CVPR | Normalizing Flows With Multi-Scale Autoregressive Priors. | Apratim Bhattacharyya, Shweta Mahajan, Mario Fritz, Bernt Schiele, Stefan Roth |
| 2020 | ECCV | Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation. | Yang He, Shadi Rahimian, Bernt Schiele, Mario Fritz |
| 2020 | ECCV | Synthetic Convolutional Features for Improved Semantic Segmentation. | Yang He, Bernt Schiele, Mario Fritz |
| 2020 | ECCV | Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction. | Hosnieh Sattar, Katharina Krombholz, Gerard Pons-Moll, Mario Fritz |
| 2020 | ECCV | Towards Automated Testing and Robustification by Semantic Adversarial Data Generation. | Rakshith Shetty, Mario Fritz, Bernt Schiele |
| 2020 | ECCV | Inclusive GAN: Improving Data and Minority Coverage in Generative Models. | Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz |
| 2020 | ICLR | Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks. | Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz |
| 2020 | SP | Automatically Detecting Bystanders in Photos to Reduce Privacy Risks. | Rakibul Hasan, David J. Crandall, Mario Fritz, Apu Kapadia |
| 2019 | CVPR | Time-Conditioned Action Anticipation in One Shot. | Qiuhong Ke, Mario Fritz, Bernt Schiele |
| 2019 | CVPR | Knockoff Nets: Stealing Functionality of Black-Box Models. | Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz |
| 2019 | CVPR | 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 |
| 2019 | ICCV | Deep Appearance Maps. | Maxim Maximov, Tobias Ritschel, Laura Leal-Taix, Mario Fritz |
| 2019 | ICCV | Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints. | Ning Yu, Larry Davis, Mario Fritz |
| 2019 | ICLR | Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods. | Apratim Bhattacharyya, Mario Fritz, Bernt Schiele |
| 2019 | NDSS | ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models. | Ahmed Salem, Yang Zhang, Mathias Humbert, Pascal Berrang, Mario Fritz, Michael Backes |
| 2019 | WACV | Fashion Is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources. | Hosnieh Sattar, Gerard Pons-Moll, Mario Fritz |
| 2018 | AAAI | Long-Term Image Boundary Prediction. | Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz |
| 2018 | CVPR | Long-Term On-Board Prediction of People in Traffic Scenes Under Uncertainty. | Apratim Bhattacharyya, Mario Fritz, Bernt Schiele |
| 2018 | CVPR | Accurate and Diverse Sampling of Sequences Based on a "Best of Many" Sample Objective. | Apratim Bhattacharyya, Bernt Schiele, Mario Fritz |
| 2018 | CVPR | Disentangled Person Image Generation. | Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz |
| 2018 | CVPR | Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images. | Tribhuvanesh Orekondy, Mario Fritz, Bernt Schiele |
| 2018 | CVPR | Natural and Effective Obfuscation by Head Inpainting. | Qianru Sun, Liqian Ma, Seong Joon Oh, Luc Van Gool, Bernt Schiele, Mario Fritz |
| 2018 | ECCV | Workshop on Interactive and Adaptive Learning in an Open World. | Alexander Freytag, Vittorio Ferrari, Mario Fritz, Uwe Franke, Terrance E. Boult, Juergen Gall, Walter J. Scheirer, Angela Yao, Erik Rodner |
| 2018 | ECCV | Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes. | Yang He, Bernt Schiele, Mario Fritz |
| 2018 | ECCV | A Hybrid Model for Identity Obfuscation by Face Replacement. | Qianru Sun, Ayush Tewari, Weipeng Xu, Mario Fritz, Christian Theobalt, Bernt Schiele |
| 2018 | ECCV | 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 |
| 2018 | ICLR | Towards Reverse-Engineering Black-Box Neural Networks. | Seong Joon Oh, Max Augustin, Mario Fritz, Bernt Schiele |
| 2017 | CVPR | STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling. | Yang He, Wei-Chen Chiu, Margret Keuper, Mario Fritz |
| 2017 | CVPR | Exploiting Saliency for Object Segmentation from Image Level Labels. | Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele |
| 2017 | CVPR | A Domain Based Approach to Social Relation Recognition. | Qianru Sun, Bernt Schiele, Mario Fritz |
| 2017 | CVPR | It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation. | Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling |
| 2017 | ICCV | What is Around the Camera? | Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, Luc Van Gool |
| 2017 | ICCV | Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective. | Seong Joon Oh, Mario Fritz, Bernt Schiele |
| 2017 | ICCV | Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images. | Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz |
| 2017 | ICCV | Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training. | Rakshith Shetty, Marcus Rohrbach, Lisa Anne Hendricks, Mario Fritz, Bernt Schiele |
| 2017 | ICRA | Visual stability prediction for robotic manipulation. | Wenbin Li, Ales Leonardis, Mario Fritz |
| 2016 | ACCV | Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles. | Wei-Chen Chiu, Fabio Galasso, Mario Fritz |
| 2016 | BMVC | Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task. | Mateusz Malinowski, Ashkan Mokarian, Mario Fritz |
| 2016 | CVPR | Multi-cue Zero-Shot Learning with Strong Supervision. | Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele |
| 2016 | CVPR | Deep Reflectance Maps. | Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Efstratios Gavves, Tinne Tuytelaars |
| 2016 | ECCV | Faceless Person Recognition: Privacy Implications in Social Media. | Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele |
| 2016 | ECCV | VConv-DAE: Deep Volumetric Shape Learning Without Object Labels. | Abhishek Sharma, Oliver Grau, Mario Fritz |
| 2016 | Mobisys | I-Pic: A Platform for Privacy-Compliant Image Capture. | Paarijaat Aditya, Rijurekha Sen, Peter Druschel, Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele, Bobby Bhattacharjee, Tong Tong Wu |
| 2016 | Mobisys | Demo: I-Pic: A Platform for Privacy-Compliant Image Capture. | Paarijaat Aditya, Rijurekha Sen, Peter Druschel, Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele, Bobby Bhattacharjee, Tong Tong Wu |
| 2016 | WACV | Recognition of ongoing complex activities by sequence prediction over a hierarchical label space. | Wenbin Li, Mario Fritz |
| 2015 | CVPR | Prediction of search targets from fixations in open-world settings. | Hosnieh Sattar, Sabine Mller, Mario Fritz, Andreas Bulling |
| 2015 | CVPR | Appearance-based gaze estimation in the wild. | Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling |
| 2015 | ICCV | See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG. | Walon Wei-Chen Chiu, Mario Fritz |
| 2015 | ICCV | Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images. | Mateusz Malinowski, Marcus Rohrbach, Mario Fritz |
| 2015 | ICCV | Person Recognition in Personal Photo Collections. | Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele |
| 2015 | PERCOM | Joint segmentation and activity discovery using semantic and temporal priors. | Julia Seiter, Walon Wei-Chen Chiu, Mario Fritz, Oliver Amft, Gerhard Trster |
| 2014 | BMVC | Object Disambiguation for Augmented Reality Applications. | Walon Wei-Chen Chiu, Gregory Johnson, Daniel McCulley, Oliver Grau, Mario Fritz |
| 2014 | CVPR | Anytime Recognition of Objects and Scenes. | Sergey Karayev, Mario Fritz, Trevor Darrell |
| 2014 | CVPR | Image-Based Synthesis and Re-synthesis of Viewpoints Guided by 3D Models. | Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars |
| 2014 | ESORICS | Ubic: Bridging the Gap between Digital Cryptography and the Physical World. | Mark Simkin, Dominique Schrder, Andreas Bulling, Mario Fritz |
| 2013 | BMVC | Learning Smooth Pooling Regions for Visual Recognition. | Mateusz Malinowski, Mario Fritz |
| 2013 | CVPR | Multi-class Video Co-segmentation with a Generative Multi-video Model. | Walon Wei-Chen Chiu, Mario Fritz |
| 2013 | ICCV | Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling. | Evgeny Levinkov, Mario Fritz |
| 2012 | ACCV | Semi-Supervised Learning on a Budget: Scaling Up to Large Datasets. | Sandra Ebert, Mario Fritz, Bernt Schiele |
| 2012 | ACCV | The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image. | Konstantinos Rematas, Mario Fritz, Tinne Tuytelaars |
| 2012 | CVPR | RALF: A reinforced active learning formulation for object class recognition. | Sandra Ebert, Mario Fritz, Bernt Schiele |
| 2012 | ECCV | Recognizing Materials from Virtual Examples. | Wenbin Li, Mario Fritz |
| 2012 | ECCV | Sparselet Models for Efficient Multiclass Object Detection. | Hyun Oh Song, Stefan Zickler, Tim Althoff, Ross B. Girshick, Mario Fritz, Christopher Geyer, Pedro F. Felzenszwalb, Trevor Darrell |
| 2011 | BMVC | Improving the Kinect by Cross-Modal Stereo. | Walon Wei-Chen Chiu, Ulf Blanke, Mario Fritz |
| 2011 | CVPR | A probabilistic model for recursive factorized image features. | Sergey Karayev, Mario Fritz, Sanja Fidler, Trevor Darrell |
| 2011 | ICCV | The NBNN kernel. | Tinne Tuytelaars, Mario Fritz, Kate Saenko, Trevor Darrell |
| 2011 | ICRA | Parametrized shape models for clothing. | Stephen Miller, Mario Fritz, Trevor Darrell, Pieter Abbeel |
| 2011 | IROS | Practical 3-D object detection using category and instance-level appearance models. | Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell |
| 2011 | IROS | Perception for the manipulation of socks. | Ping Chuan Wang, Stephen Miller, Mario Fritz, Trevor Darrell, Pieter Abbeel |
| 2010 | ECCV | Adapting Visual Category Models to New Domains. | Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darrell |
| 2009 | CVPR | Discriminative structure learning of hierarchical representations for object detection. | Paul Schnitzspan, Mario Fritz, Stefan Roth, Bernt Schiele |
| 2008 | CVPR | Decomposition, discovery and detection of visual categories using topic models. | Mario Fritz, Bernt Schiele |
| 2008 | ECCV | Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features. | Paul Schnitzspan, Mario Fritz, Bernt Schiele |
| 2007 | CVPR | Towards Robust Pedestrian Detection in Crowded Image Sequences. | Edgar Seemann, Mario Fritz, Bernt Schiele |
| 2005 | ICCV | Integrating Representative and Discriminative Models for Object Category Detection. | Mario Fritz, Bastian Leibe, Barbara Caputo, Bernt Schiele |
| 2004 | ECCV | On the Significance of Real-World Conditions for Material Classification. | Eric Hayman, Barbara Caputo, Mario Fritz, Jan-Olof Eklundh |