Mario Fritz

According to our database, Mario Fritz authored at least 233 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

B-Cos Alignment for Inherently Interpretable CNNs and Vision Transformers.

Moritz Böhle, Navdeeppal Singh, Mario Fritz, Bernt Schiele

IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

A Unified View of Differentially Private Deep Generative Modeling.

Dingfan Chen, Raouf Kerkouche, Mario Fritz

Trans. Mach. Learn. Res., 2024

FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations.

Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz

Proc. Priv. Enhancing Technol., 2024

CausalGraph2LLM: Evaluating LLMs for Causal Queries.

Ivaxi Sheth, Bahare Fatemi, Mario Fritz

CoRR, 2024

LLM4GRN: Discovering Causal Gene Regulatory Networks with LLMs - Evaluation through Synthetic Data Generation.

Tejumade Afonja, Ivaxi Sheth, Ruta Binkyte, Waqar Hanif, Thomas Ulas, Matthias Becker, Mario Fritz

CoRR, 2024

LLM2Swarm: Robot Swarms that Responsively Reason, Plan, and Collaborate through LLMs.

Volker Strobel, Marco Dorigo, Mario Fritz

CoRR, 2024

HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training Data.

Hossein Hajipour, Lea Schönherr, Thorsten Holz, Mario Fritz

CoRR, 2024

Hypothesizing Missing Causal Variables with LLMs.

Ivaxi Sheth, Sahar Abdelnabi, Mario Fritz

CoRR, 2024

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

CoRR, 2024

FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks.

Tobias Lorenz, Marta Kwiatkowska, Mario Fritz

CoRR, 2024

Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition.

Edoardo Debenedetti, Javier Rando, Daniel Paleka, Silaghi Fineas Florin, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi, Lea Schönherr

CoRR, 2024

Are you still on track!? Catching LLM Task Drift with Activations.

Sahar Abdelnabi, Aideen Fay, Giovanni Cherubin, Ahmed Salem, Mario Fritz, Andrew Paverd

CoRR, 2024

Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?

Egor Zverev, Sahar Abdelnabi, Mario Fritz, Christoph H. Lampert

CoRR, 2024

Exploring Value Biases: How LLMs Deviate Towards the Ideal.

Sarath Sivaprasad, Pramod Kaushik, Sahar Abdelnabi, Mario Fritz

CoRR, 2024

Towards Biologically Plausible and Private Gene Expression Data Generation.

Dingfan Chen, Marie Oestreich, Tejumade Afonja, Raouf Kerkouche, Matthias Becker, Mario Fritz

CoRR, 2024

Private and Collaborative Kaplan-Meier Estimators.

Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz

Proceedings of the 23rd Workshop on Privacy in the Electronic Society, 2024

SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models.

Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang

Proceedings of the 33rd USENIX Security Symposium, 2024

CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models.

Hossein Hajipour, Keno Hassler, Thorsten Holz, Lea Schönherr, Mario Fritz

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models.

Hossein Hajipour, Ning Yu, Cristian-Alexandru Staicu, Mario Fritz

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Stealthy Imitation: Reward-guided Environment-free Policy Stealing.

Zhixiong Zhuang, Maria-Irina Nicolae, Mario Fritz

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing.

Alaa Anani, Tobias Lorenz, Bernt Schiele, Mario Fritz

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MultiMax: Sparse and Multi-Modal Attention Learning.

Yuxuan Zhou, Mario Fritz, Margret Keuper

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On Adversarial Training without Perturbing all Examples.

Max Maria Losch, Mohamed Omran, David Stutz, Mario Fritz, Bernt Schiele

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Privacy-Aware Document Visual Question Answering.

Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Joonas Jälkö, Vincent Poulain D'Andecy, Aurélie Joseph, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas

Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

Tell Me What You Like and I Know What You Will Share: Topical Interest Influences Behavior Toward News From High and Low Credible Sources.

Rebecca Weil, Sahar Abdelnabi, Mario Fritz, Rakibul Hasan

Proceedings of the IEEE European Symposium on Security and Privacy Workshops, 2024

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

CSCS '24 - Cyber Security in CarS Workshop.

Mario Fritz, Christoph Krauß, Hans-Joachim Hof

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

Optimising for Interpretability: Convolutional Dynamic Alignment Networks.

Moritz Böhle, Mario Fritz, Bernt Schiele

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Privacy-Aware Document Visual Question Answering.

Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas

CoRR, 2023

Going Beyond Familiar Features for Deep Anomaly Detection.

Sarath Sivaprasad, Mario Fritz

CoRR, 2023

LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games.

Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad, Lea Schönherr, Mario Fritz

CoRR, 2023

A Large-Scale Study of Phishing PDF Documents.

Giada Stivala, Sahar Abdelnabi, Andrea Mengascini, Mariano Graziano, Mario Fritz, Giancarlo Pellegrino

CoRR, 2023

From Bad to Worse: Using Private Data to Propagate Disinformation on Online Platforms with a Greater Efficiency.

Protik Bose Pranto, Waqar Hassan Khan, Sahar Abdelnabi, Rebecca Weil, Mario Fritz, Rakibul Hasan

CoRR, 2023

More than you've asked for: A Comprehensive Analysis of Novel Prompt Injection Threats to Application-Integrated Large Language Models.

Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz

CoRR, 2023

Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy.

Derui Zhu, Dingfan Chen, Jens Grossklags, Mario Fritz

CoRR, 2023

Systematically Finding Security Vulnerabilities in Black-Box Code Generation Models.

Hossein Hajipour, Thorsten Holz, Lea Schönherr, Mario Fritz

CoRR, 2023

Fed-GLOSS-DP: Federated, Global Learning using Synthetic Sets with Record Level Differential Privacy.

Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz

CoRR, 2023

Holistically Explainable Vision Transformers.

Moritz Böhle, Mario Fritz, Bernt Schiele

CoRR, 2023

Client-specific Property Inference against Secure Aggregation in Federated Learning.

Raouf Kerkouche, Gergely Ács, Mario Fritz

Proceedings of the 22nd Workshop on Privacy in the Electronic Society, 2023

UnGANable: Defending Against GAN-based Face Manipulation.

Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang

Proceedings of the 32nd USENIX Security Symposium, 2023

Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems.

Sahar Abdelnabi, Mario Fritz

Proceedings of the 32nd USENIX Security Symposium, 2023

Certified Robust Models with Slack Control and Large Lipschitz Constants.

Max Maria Losch, David Stutz, Bernt Schiele, Mario Fritz

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

MargCTGAN: A "Marginally" Better CTGAN for the Low Sample Regime.

Tejumade Afonja, Dingfan Chen, Mario Fritz

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

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

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

Certifiers Make Neural Networks Vulnerable to Availability Attacks.

Tobias Lorenz, Marta Kwiatkowska, Mario Fritz

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

From Attachments to SEO: Click Here to Learn More about Clickbait PDFs!

Giada Stivala, Sahar Abdelnabi, Andrea Mengascini, Mariano Graziano, Mario Fritz, Giancarlo Pellegrino

Proceedings of the Annual Computer Security Applications Conference, 2023

2022

Understanding Utility and Privacy of Demographic Data in Education Technology by Causal Analysis and Adversarial-Censoring.

Rakibul Hasan, Mario Fritz

Proc. Priv. Enhancing Technol., 2022

SimSCOOD: Systematic Analysis of Out-of-Distribution Behavior of Source Code Models.

Hossein Hajipour, Ning Yu, Cristian-Alexandru Staicu, Mario Fritz

CoRR, 2022

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

Proceedings of the 31st USENIX Security Symposium, 2022

Private Set Generation with Discriminative Information.

Dingfan Chen, Raouf Kerkouche, Mario Fritz

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training.

Hui-Po Wang, Sebastian U. Stich, Yang He, Mario Fritz

Proceedings of the International Conference on Machine Learning, 2022

Responsible Disclosure of Generative Models Using Scalable Fingerprinting.

Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry S. Davis, Mario Fritz

Proceedings of the Tenth International Conference on Learning Representations, 2022

RelaxLoss: Defending Membership Inference Attacks without Losing Utility.

Dingfan Chen, Ning Yu, Mario Fritz

Proceedings of the Tenth International Conference on Learning Representations, 2022

B-cos Networks: Alignment is All We Need for Interpretability.

Moritz Böhle, Mario Fritz, Bernt Schiele

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources.

Sahar Abdelnabi, Rakibul Hasan, Mario Fritz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data.

Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz

Proceedings of the Conference on Health, Inference, and Learning, 2022

2021

Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations.

Max Maria Losch, Mario Fritz, Bernt Schiele

Int. J. Comput. Vis., 2021

Backdoor Attacks on Network Certification via Data Poisoning.

Tobias Lorenz, Marta Kwiatkowska, Mario Fritz

CoRR, 2021

Future Moment Assessment for Action Query.

Qiuhong Ke, Mario Fritz, Bernt Schiele

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding.

Sahar Abdelnabi, Mario Fritz

Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

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

Hossein Hajipour, Mateusz Malinowski, Mario Fritz

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

SampleFix: Learning to Generate Functionally Diverse Fixes.

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

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis.

Yang He, Ning Yu, Margret Keuper, Mario Fritz

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

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

Ning Yu, Vladislav Skripniuk, Sahar Abdelnabi, Mario Fritz

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Dual Contrastive Loss and Attention for GANs.

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Hui-Po Wang, Ning Yu, Mario Fritz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

InfoScrub: Towards Attribute Privacy by Targeted Obfuscation.

Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

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

Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Maximilian Augustin, Michael Backes, Mario Fritz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Convolutional Dynamic Alignment Networks for Interpretable Classifications.

Moritz Böhle, Mario Fritz, Bernt Schiele

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Differential Privacy Defenses and Sampling Attacks for Membership Inference.

Shadi Rahimian, Tribhuvanesh Orekondy, Mario Fritz

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

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

Sahar Abdelnabi, Mario Fritz

Proceedings of the MTD@CCS 2021: Proceedings of the 8th ACM Workshop on Moving Target Defense, 2021

2020

Person Recognition in Personal Photo Collections.

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

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Deep gaze pooling: Inferring and visually decoding search intents from human gaze fixations.

Hosnieh Sattar, Mario Fritz, Andreas Bulling

Neurocomputing, 2020

Editor's Note.

Thomas Brox, Mario Fritz

Int. J. Comput. Vis., 2020

CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning.

Yang He, Maximilian Zenk, Mario Fritz

CoRR, 2020

Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries.

Shadi Rahimian, Tribhuvanesh Orekondy, Mario Fritz

CoRR, 2020

Black-Box Watermarking for Generative Adversarial Networks.

Vladislav Skripniuk, Ning Yu, Sahar Abdelnabi, Mario Fritz

CoRR, 2020

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

Hossein Hajipour, Mateusz Malinowski, Mario Fritz

CoRR, 2020

Everything About You: A Multimodal Approach towards Friendship Inference in Online Social Networks.

Tahleen A. Rahman, Mario Fritz, Michael Backes, Yang Zhang

CoRR, 2020

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

Ahmed Salem, Apratim Bhattacharya, Michael Backes, Mario Fritz, Yang Zhang

Proceedings of the 29th USENIX Security Symposium, 2020

Automatically Detecting Bystanders in Photos to Reduce Privacy Risks.

Rakibul Hasan, David J. Crandall, Mario Fritz, Apu Kapadia

Proceedings of the 2020 IEEE Symposium on Security and Privacy, 2020

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

Dingfan Chen, Tribhuvanesh Orekondy, Mario Fritz

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks.

Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz

Proceedings of the 8th International Conference on Learning Representations, 2020

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

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

Proceedings of the Computer Vision - ECCV 2020, 2020

Towards Automated Testing and Robustification by Semantic Adversarial Data Generation.

Rakshith Shetty, Mario Fritz, Bernt Schiele

Proceedings of the Computer Vision - ECCV 2020, 2020

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

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

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Synthetic Convolutional Features for Improved Semantic Segmentation.

Yang He, Bernt Schiele, Mario Fritz

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

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

Yang He, Shadi Rahimian, Bernt Schiele, Mario Fritz

Proceedings of the Computer Vision - ECCV 2020, 2020

Long-Tailed Recognition Using Class-Balanced Experts.

Saurabh Sharma, Ning Yu, Mario Fritz, Bernt Schiele

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

Haar Wavelet Based Block Autoregressive Flows for Trajectories.

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

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

Normalizing Flows With Multi-Scale Autoregressive Priors.

Apratim Bhattacharyya, Shweta Mahajan, Mario Fritz, Bernt Schiele, Stefan Roth

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Vedika Agarwal, Rakshith Shetty, Mario Fritz

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models.

Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity.

Sahar Abdelnabi, Katharina Krombholz, Mario Fritz

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

2019

Towards Reverse-Engineering Black-Box Neural Networks.

Seong Joon Oh, Bernt Schiele, Mario Fritz

Proceedings of the Explainable AI: Interpreting, 2019

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

Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling

IEEE Trans. Pattern Anal. Mach. Intell., 2019

"Best-of-Many-Samples" Distribution Matching.

Apratim Bhattacharyya, Mario Fritz, Bernt Schiele

CoRR, 2019

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

Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz

CoRR, 2019

WhiteNet: Phishing Website Detection by Visual Whitelists.

Sahar Abdelnabi, Katharina Krombholz, Mario Fritz

CoRR, 2019

Conditional Flow Variational Autoencoders for Structured Sequence Prediction.

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

CoRR, 2019

Interpretability Beyond Classification Output: Semantic Bottleneck Networks.

Max Maria Losch, Mario Fritz, Bernt Schiele

CoRR, 2019

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

Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz

CoRR, 2019

SampleFix: Learning to Correct Programs by Sampling Diverse Fixes.

Hossein Hajipour, Apratim Bhattacharyya, Mario Fritz

CoRR, 2019

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

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

CoRR, 2019

Learning Manipulation under Physics Constraints with Visual Perception.

Wenbin Li, Ales Leonardis, Jeannette Bohg, Mario Fritz

CoRR, 2019

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

Hosnieh Sattar, Gerard Pons-Moll, Mario Fritz

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

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

Proceedings of the 26th Annual Network and Distributed System Security Symposium, 2019

Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods.

Apratim Bhattacharyya, Mario Fritz, Bernt Schiele

Proceedings of the 7th International Conference on Learning Representations, 2019

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

Ning Yu, Larry Davis, Mario Fritz

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Deep Appearance Maps.

Maxim Maximov, Tobias Ritschel, Laura Leal-Taixé, Mario Fritz

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Knockoff Nets: Stealing Functionality of Black-Box Models.

Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Time-Conditioned Action Anticipation in One Shot.

Qiuhong Ke, Mario Fritz, Bernt Schiele

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images.

Ning Yu, Larry Davis, Mario Fritz

CoRR, 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

CoRR, 2018

Sequential Attacks on Agents for Long-Term Adversarial Goals.

Edgar Tretschk, Seong Joon Oh, Mario Fritz

CoRR, 2018

Understanding and Controlling User Linkability in Decentralized Learning.

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

CoRR, 2018

Deep Appearance Maps.

Maxim Maximov, Tobias Ritschel, Mario Fritz

CoRR, 2018

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

Rakshith Shetty, Bernt Schiele, Mario Fritz

Proceedings of the 27th USENIX Security Symposium, 2018

Adversarial Scene Editing: Automatic Object Removal from Weak Supervision.

Rakshith Shetty, Mario Fritz, Bernt Schiele

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Towards Reverse-Engineering Black-Box Neural Networks.

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

Proceedings of the 6th International Conference on Learning Representations, 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

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

A Hybrid Model for Identity Obfuscation by Face Replacement.

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

Proceedings of the Computer Vision - ECCV 2018, 2018

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

Yang He, Bernt Schiele, Mario Fritz

Proceedings of the Computer Vision - ECCV 2018, 2018

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

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Natural and Effective Obfuscation by Head Inpainting.

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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

Tribhuvanesh Orekondy, Mario Fritz, Bernt Schiele

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Disentangled Person Image Generation.

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Accurate and Diverse Sampling of Sequences Based on a "Best of Many" Sample Objective.

Apratim Bhattacharyya, Bernt Schiele, Mario Fritz

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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

Apratim Bhattacharyya, Mario Fritz, Bernt Schiele

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Long-Term Image Boundary Prediction.

Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Novel Views of Objects from a Single Image.

Konstantinos Rematas, Chuong H. Nguyen, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars

IEEE Trans. Pattern Anal. Mach. Intell., 2017

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

Mateusz Malinowski, Marcus Rohrbach, Mario Fritz

Int. J. Comput. Vis., 2017

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

Rakshith Shetty, Bernt Schiele, Mario Fritz

CoRR, 2017

Whitening Black-Box Neural Networks.

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

CoRR, 2017

Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning.

Wenbin Li, Jeannette Bohg, Mario Fritz

CoRR, 2017

Person Recognition in Social Media Photos.

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

CoRR, 2017

Visual Decoding of Targets During Visual Search From Human Eye Fixations.

Hosnieh Sattar, Mario Fritz, Andreas Bulling

CoRR, 2017

Advanced Steel Microstructure Classification by Deep Learning Methods.

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

CoRR, 2017

Visual stability prediction for robotic manipulation.

Wenbin Li, Ales Leonardis, Mario Fritz

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

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

Hosnieh Sattar, Andreas Bulling, Mario Fritz

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

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

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

Proceedings of the IEEE International Conference on Computer Vision, 2017

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

Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz

Proceedings of the IEEE International Conference on Computer Vision, 2017

Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective.

Seong Joon Oh, Mario Fritz, Bernt Schiele

Proceedings of the IEEE International Conference on Computer Vision, 2017

What is Around the Camera?

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

Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Dilation Factors for Semantic Segmentation of Street Scenes.

Yang He, Margret Keuper, Bernt Schiele, Mario Fritz

Proceedings of the Pattern Recognition - 39th German Conference, 2017

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

Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

A Domain Based Approach to Social Relation Recognition.

Qianru Sun, Bernt Schiele, Mario Fritz

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Exploiting Saliency for Object Segmentation from Image Level Labels.

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

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

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

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

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Visual Stability Prediction and Its Application to Manipulation.

Wenbin Li, Ales Leonardis, Mario Fritz

Proceedings of the 2017 AAAI Spring Symposia, 2017

2016

Learning to Detect Visual Grasp Affordance.

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

IEEE Trans Autom. Sci. Eng., 2016

Predicting the Category and Attributes of Mental Pictures Using Deep Gaze Pooling.

Hosnieh Sattar, Andreas Bulling, Mario Fritz

CoRR, 2016

Tutorial on Answering Questions about Images with Deep Learning.

Mateusz Malinowski, Mario Fritz

CoRR, 2016

RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling.

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

CoRR, 2016

Natural Illumination from Multiple Materials Using Deep Learning.

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

CoRR, 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

CoRR, 2016

Contextual Media Retrieval Using Natural Language Queries.

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

CoRR, 2016

Long-Term Image Boundary Extrapolation.

Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz

CoRR, 2016

Spatio-Temporal Image Boundary Extrapolation.

Apratim Bhattacharyya, Mateusz Malinowski, Mario Fritz

CoRR, 2016

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

Wenbin Li, Seyedmajid Azimi, Ales Leonardis, Mario Fritz

CoRR, 2016

Recognition of ongoing complex activities by sequence prediction over a hierarchical label space.

Wenbin Li, Mario Fritz

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

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

Proceedings of the 14th Annual International Conference on Mobile Systems, 2016

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

Proceedings of the 14th Annual International Conference on Mobile Systems, 2016

Xplore-M-Ego: Contextual Media Retrieval Using Natural Language Queries.

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

Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

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

Abhishek Sharma, Oliver Grau, Mario Fritz

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Faceless Person Recognition: Privacy Implications in Social Media.

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

Proceedings of the Computer Vision - ECCV 2016, 2016

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

Jonas Scheer, Mario Fritz, Oliver Grau

Proceedings of the Pattern Recognition - 38th German Conference, 2016

Deep Reflectance Maps.

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

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Multi-cue Zero-Shot Learning with Strong Supervision.

Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

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

Mateusz Malinowski, Ashkan Mokarian, Mario Fritz

Proceedings of the British Machine Vision Conference 2016, 2016

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

Wei-Chen Chiu, Fabio Galasso, Mario Fritz

Proceedings of the Computer Vision - ACCV 2016, 2016

2015

GazeDPM: Early Integration of Gaze Information in Deformable Part Models.

Iaroslav Shcherbatyi, Andreas Bulling, Mario Fritz

CoRR, 2015

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

Mateusz Malinowski, Mario Fritz

CoRR, 2015

Joint segmentation and activity discovery using semantic and temporal priors.

Julia Seiter, Walon Wei-Chen Chiu, Mario Fritz, Oliver Amft, Gerhard Tröster

Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communications, 2015

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

Mateusz Malinowski, Marcus Rohrbach, Mario Fritz

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

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

Walon Wei-Chen Chiu, Mario Fritz

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Teaching robots the use of human tools from demonstration with non-dexterous end-effectors.

Wenbin Li, Mario Fritz

Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

Appearance-based gaze estimation in the wild.

Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

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

Hosnieh Sattar, Sabine Müller, Mario Fritz, Andreas Bulling

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

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

Mateusz Malinowski, Mario Fritz

CoRR, 2014

Towards a Visual Turing Challenge.

Mateusz Malinowski, Mario Fritz

CoRR, 2014

Learning Multi-Scale Representations for Material Classification.

Wenbin Li, Mario Fritz

CoRR, 2014

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

Mateusz Malinowski, Mario Fritz

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Ubic: Bridging the Gap between Digital Cryptography and the Physical World.

Mark Simkin, Dominique Schröder, Andreas Bulling, Mario Fritz

Proceedings of the Computer Security - ESORICS 2014, 2014

Image-Based Synthesis and Re-synthesis of Viewpoints Guided by 3D Models.

Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Anytime Recognition of Objects and Scenes.

Sergey Karayev, Mario Fritz, Trevor Darrell

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Object Disambiguation for Augmented Reality Applications.

Walon Wei-Chen Chiu, Gregory Johnson, Daniel McCulley, Oliver Grau, Mario Fritz

Proceedings of the British Machine Vision Conference, 2014

2013

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

Proceedings of the Consumer Depth Cameras for Computer Vision, 2013

Learnable Pooling Regions for Image Classification

Mateusz Malinowski, Mario Fritz

Proceedings of the 1st International Conference on Learning Representations, 2013

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

Evgeny Levinkov, Mario Fritz

Proceedings of the IEEE International Conference on Computer Vision, 2013

Multi-class Video Co-segmentation with a Generative Multi-video Model.

Walon Wei-Chen Chiu, Mario Fritz

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Learning Smooth Pooling Regions for Visual Recognition.

Mateusz Malinowski, Mario Fritz

Proceedings of the British Machine Vision Conference, 2013

2012

A geometric approach to robotic laundry folding.

Stephen Miller, Jur van den Berg, Mario Fritz, Trevor Darrell, Kenneth Y. Goldberg, Pieter Abbeel

Int. J. Robotics Res., 2012

Timely Object Recognition.

Sergey Karayev, Tobias Baumgartner, Mario Fritz, Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

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

Proceedings of the Computer Vision - ECCV 2012, 2012

Recognizing Materials from Virtual Examples.

Wenbin Li, Mario Fritz

Proceedings of the Computer Vision - ECCV 2012, 2012

Active Metric Learning for Object Recognition.

Sandra Ebert, Mario Fritz, Bernt Schiele

Proceedings of the Pattern Recognition, 2012

RALF: A reinforced active learning formulation for object class recognition.

Sandra Ebert, Mario Fritz, Bernt Schiele

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

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

Konstantinos Rematas, Mario Fritz, Tinne Tuytelaars

Proceedings of the Computer Vision - ACCV 2012, 2012

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

Sandra Ebert, Mario Fritz, Bernt Schiele

Proceedings of the Computer Vision - ACCV 2012, 2012

2011

Perception for the manipulation of socks.

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

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

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

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Parametrized shape models for clothing.

Stephen Miller, Mario Fritz, Trevor Darrell, Pieter Abbeel

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Visual grasp affordances from appearance-based cues.

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

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

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

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

I spy with my little eye: Learning optimal filters for cross-modal stereo under projected patterns.

Walon Wei-Chen Chiu, Ulf Blanke, Mario Fritz

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

The NBNN kernel.

Tinne Tuytelaars, Mario Fritz, Kate Saenko, Trevor Darrell

Proceedings of the IEEE International Conference on Computer Vision, 2011

Pick Your Neighborhood - Improving Labels and Neighborhood Structure for Label Propagation.

Sandra Ebert, Mario Fritz, Bernt Schiele

Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

A probabilistic model for recursive factorized image features.

Sergey Karayev, Mario Fritz, Sanja Fidler, Trevor Darrell

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Improving the Kinect by Cross-Modal Stereo.

Walon Wei-Chen Chiu, Ulf Blanke, Mario Fritz

Proceedings of the British Machine Vision Conference, 2011

2010

Classifying materials in the real world.

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

Image Vis. Comput., 2010

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

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

Comput. Vis. Image Underst., 2010

Size Matters: Metric Visual Search Constraints from Monocular Metadata.

Mario Fritz, Kate Saenko, Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Adapting Visual Category Models to New Domains.

Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darrell

Proceedings of the Computer Vision, 2010

Multi-modal Learning.

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

Proceedings of the Cognitive Systems, 2010

Categorical Perception.

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

Proceedings of the Cognitive Systems, 2010

2009

An Additive Latent Feature Model for Transparent Object Recognition.

Mario Fritz, Michael J. Black, Gary R. Bradski, Sergey Karayev, Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Discriminative structure learning of hierarchical representations for object detection.

Paul Schnitzspan, Mario Fritz, Stefan Roth, Bernt Schiele

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Modeling, representing and learning of visual categories.

Mario Fritz

PhD thesis, 2008

Discovery of activity patterns using topic models.

Tâm Huynh, Mario Fritz, Bernt Schiele

Proceedings of the UbiComp 2008: Ubiquitous Computing, 10th International Conference, 2008

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

Paul Schnitzspan, Mario Fritz, Bernt Schiele

Proceedings of the Computer Vision, 2008

Decomposition, discovery and detection of visual categories using topic models.

Mario Fritz, Bernt Schiele

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Towards Robust Pedestrian Detection in Crowded Image Sequences.

Edgar Seemann, Mario Fritz, Bernt Schiele

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Towards Unsupervised Discovery of Visual Categories.

Mario Fritz, Bernt Schiele

Proceedings of the Pattern Recognition, 2006

2005

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 Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang

Proceedings of the Machine Learning Challenges, 2005

Integrating Representative and Discriminative Models for Object Category Detection.

Mario Fritz, Bastian Leibe, Barbara Caputo, Bernt Schiele

Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004

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

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

Proceedings of the Computer Vision, 2004

2002

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

Matthias Zobel, Mario Fritz, Ingo Scholz

Proceedings of the 7th International Fall Workshop on Vision, Modeling, and Visualization, 2002