Prof. Dr. Mario Fritz
Faculty
CISPA Helmholtz Center for Information Security
Professor
Saarland University
Fellow
European Laboratory for Learning and Intelligent Systems (ELLIS)
We are looking for PhD students and Post-Docs! Please get in touch.
My group is working on Trustworthy Information Processing with a focus on the intersection of AI & Machine Learning with Security & Privacy.
Recent projects and initiatives related to trustworthy AI/ML, health, privacy:
- Coordinator and PI: European Lighthouse on Secure and Safe AI (ELSA)
- Coordinator and PI: PriSyn: Representative, synthetic health data with strong privacy guarantees (BMBF)
- PI: AIgency “Opportunities and Risks of generative AI in Cybersecurity” (BMBF)
- PI: PrivateAIM – sichere verteilte Auswertung medizinischer Daten (Medizin Informatik Initiative)
- Leading Scientist: Helmholtz Medical Security, Privacy, and AI Research Center (HMSP)
- Coordinator and PI: PriSyn: Representative, synthetic health data with strong privacy guarantees
- Coordinator and PI: ImageTox: Automated image-based detection of early toxicity events in zebrafish larvae
- PI: Integrated Early Warning System for Local Recognition, Prevention, and Control for Epidemic Outbreaks (LOKI)
- Partner-PI: The German Human Genome-Phenome Archive (GHGA)
- Coordinator and PI: Trustworthy Federated Data Analytics Project (TFDA)
- Coordinator and PI: Protecting Genetic Data with Synthetic Cohorts from Deep Generative Models (PRO-GENE-GEN)
- Member of working group in “Forum Gesundheit” of BMBF: “AG Nutzbarmachung digitaler Daten für KI-Entwicklungen in der Gesundheitsforschung”
Recent work on LLMs, DeepFake/misinformation detection, attribution, and responsible disclosure:
- NeurIPS’24: Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models
- NeurIPS’24: Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation
- NeurIPS’24: Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
- NeurIPS’24-W: Hypothesizing Missing Causal Variables with LLMs
- NeurIPS’24-W: CausalGraph2LLM: Evaluating LLMs for Causal Queries
- NeurIPS’24-W: LLM2Swarm: Robot Swarms that Responsively Reason, Plan, and Collaborate through LLMs
- ArXiv’24: LLM4GRN: Discovering Causal Gene Regulatory Networks with LLMs — Evaluation through Synthetic Data Generation
- ArXiv’24: HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training Data
- ArXiv’24: Exploring Value Biases: How LLMs Deviate Towards the Ideal
- ArXiv’24: Are you still on track!? Catching LLM Task Drift with Activations
- EMNLP’24: LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History
- NAACL-Findings’24: PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics
- NAACL-Findings’24: SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models
- ICLR-SET’24: Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?
- ICLR-LLMAgents’24: LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games
- ArXiv’24: LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History
- SATML’24: CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models
- ArXiv’24: Exploring Value Biases: How LLMs Deviate Towards the Ideal
- BlackHat’23 Compromising LLMs: The Advent of AI Malware
- AISec’23: Not what you’ve signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection
- Usenix’23: UnGANable: Defending Against GAN-based Face Manipulation
- Usenix’23: Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems
- CVPR’22: Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources
- ICLR’22: Responsible Disclosure of Generative Models Using Scalable Fingerprinting
- ICCV’21: Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
- S&P’21: Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding
- IJCAI’21: Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
- CVPR’21: Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs
- ICCV’19: Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints
News, talks, events:
- Co-Organizer of 1st Cyber Security in Cars Workshop (CSCS) at CCS’24
- Keynote at AISec’23 on “Trustworthy AI and A Cybersecurity Perspective on Large Language Models”
- Panelist on “AI for Cybersecurity and Adversarial AI” at EU AI Alliance Assembly
- Invited talk at ICCV’23 workshop BRAVO: roBustness and Reliability of Autonomous Vehicles in the Open-world
- Invited talk at ICCV’23 Workshop on DeepFake Analysis and Detection
- Invited talk at ICCV’23 Workshop on Out Of Distribution Generalization in Computer Vision
- Lecturer at ELLIS Summer School on Large-Scale AI for Research and Industry
- Talk at Deutscher EDV Gerichtstag
- Talk at AI, Neuroscience and Hardware: From Neural to Artificial Systems and Back Again
- Scientific Advisory Board: Bosch AIShield
- Steering Board: Helmholtz.AI
- Recent program committees: ICML’21, NeurIPS’21, S&P’22, EuroS&P’22, CVPR’22 (AC); CCS’22
- Runner-up Inria/CNIL Privacy Protection Prize 2020
S&P’20 paper: “Automatically Detecting Bystanders in Photos to Reduce Privacy Risks” - Co-Organizers of ICLR’21 Workshop on “Synthetic Data Generation – Quality, Privacy, Bias”
- Co-Organizers of CVPR’21 Workshop on “QuoVadis: Interdisciplinary, Socio-Technical Workshop on the Future of Computer Vision and Pattern Recognition (QuoVadis-CVPR)”
- Co-Organizers of CVPR’21 Workshop on “Causality in Vision”
- Founding member of Saarbrücken Artificial Intelligence & Machine Learning (SAM) unit of the European Laboratory of Learning and Intelligent Systems (ELLIS)
- Lecturer at Digital CISPA Summer School 2020
- Co-Organizer of Third International Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS) at ECCV 2020
- Co-Organizer: 4. ACM Symposium on Computer Science in Cars: Future Challenges in Artificial Intelligence & Security for Autonomous Vehicles CSCS’20
- Keynote at Workshop Machine Learning for Cybersecurity, ECMLPKDD’19
- Talk at Cyber Defense Campus (CYD) Conference on Artificial Intelligence in Defence and Security
- Co-Organizer of Second International Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS) at CVPR 2019
- Co-Organizer: 3. ACM Symposium on Computer Science in Cars: Future Challenges in Artificial Intelligence & Security for Autonomous Vehicles CSCS’19
- Leading scientist at new Helmholtz Medical Security and Privacy Research Center
- Member of ACM Technical Policy Committee Europe
- Mateusz Malinowski received the DAGM MVTec dissertation award as well as the Dr.-Eduard-Martin award for his PhD
- Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
2024
Journal Articles
B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers Journal Article
In: Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.
A Unified View of Differentially Private Deep Generative Modeling Journal Article
In: Transactions on Machine Learning Research (TMLR), 2024, ISSN: 2835-8856, (Survey Certification).
Proceedings Articles
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models Proceedings Article
In: Neural Information Processing Systems (NeurIPS), 2024.
Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation Proceedings Article
In: Neural Information Processing Systems (NeurIPS), 2024.
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition Proceedings Article
In: Neural Information Processing Systems (NeurIPS), 2024.
LLM2Swarm: Robot Swarms that Responsively Reason, Plan, and Collaborate through LLMs Proceedings Article
In: NeurIPS Workshop on Open-World Agents (NeurIPS-W) , 2024.
Hypothesizing Missing Causal Variables with LLMs Proceedings Article
In: NeurIPS Workshop on CaLM: Causality and Large Models (NeurIPS-W), 2024.
CausalGraph2LLM: Evaluating LLMs for Causal Queries Proceedings Article
In: NeurIPS Workshop on CaLM: Causality and Large Models (NeurIPS-W), 2024.
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History Proceedings Article
In: Al-Onaizan, Yaser; Bansal, Mohit; Chen, Yun-Nung (Ed.): Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 14633–14652, Association for Computational Linguistics, Miami, Florida, USA, 2024.
Inside the Black Box: Detecting Data Leakage in Pre-trained Language Encoders Proceedings Article
In: European Conference on Artificial Intelligence (ECAI), 2024.
FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks Proceedings Article
In: German Conference on Pattern Recognition (GCPR) , 2024, (to appear).
Privacy-Aware Document Visual Question Answering Proceedings Article
In: International Conference on Document Analysis and Recognition (ICDAR), 2024.
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models Proceedings Article
In: USENIX Security Symposium (USENIX), 2024.
Stealthy Imitation: Reward-guided Environment-free Policy Stealing Proceedings Article
In: International Conference on Machine Learning (ICML), 2024.
Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing Proceedings Article
In: International Conference on Machine Learning (ICML), 2024.
MultiMax: Sparse and Multi-Modal Attention Learning Proceedings Article
In: International Conference on Machine Learning (ICML), 2024.
Towards Biologically Plausible and Private Gene Expression Data Generation Proceedings Article
In: The 24th Privacy Enhancing Technologies Symposium (PETS), 2024.
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations Proceedings Article
In: The 24th Privacy Enhancing Technologies Symposium (PETS), 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 Proceedings Article
In: 4th International Workshop on Socio-Technical Aspects in Security, 2024.
SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models Proceedings Article
In: Findings of the Association for Computational Linguistics: NAACL 2024, 2024.
PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics Proceedings Article
In: Findings of the Association for Computational Linguistics: NAACL 2024, 2024.
Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? Proceedings Article
In: Workshop on Secure and Trustworthy Large Language Models at ICLR, 2024.
LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games Proceedings Article
In: ICLR 2024 Workshop on LLM Agents, 2024.
On Adversarial Training without Perturbing All Examples Proceedings Article
In: The Twelfth International Conference on Learning Representations (ICLR), 2024.
CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models Proceedings Article
In: 2nd IEEE Conference on Secure and Trustworthy Machine Learning (SATML), 2024.
Miscellaneous
2023
Journal Articles
Optimising for Interpretability: Convolutional Dynamic Alignment Networks Journal Article
In: Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 6, pp. 7625–7638, 2023.
Proceedings Articles
Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection Proceedings Article
In: 16th ACM Workshop on Artificial Intelligence and Security (AISec), 2023.
Certifiers Make Neural Networks Vulnerable to Availability Attacks Proceedings Article
In: 16th ACM Workshop on Artificial Intelligence and Security (AISec), 2023.
Certified Robust Models with Slack Control and Large Lipschitz Constants Proceedings Article
In: DAGM German Conference on Pattern Recognition (GCPR), 2023.
Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems Proceedings Article
In: USENIX Security Symposium (USENIX Security)}, 2023.
Compromising LLMs: The Advent of AI Malware Proceedings Article
In: BlackHat, 2023.
UnGANable: Defending Against GAN-based Face Manipulation Proceedings Article
In: USENIX Security Symposium (USENIX Security), 2023.
From Attachments to SEO: Click Here to Learn More about Clickbait PDFs! Proceedings Article
In: Annual Computer Security Applications Conference, ACSAC 2023, Austin, TX, USA, December 4-8, 2023, pp. 14–28, ACM, 2023.
Client-specific Property Inference against Secure Aggregation in Federated Learning Proceedings Article
In: Proceedings of the 22nd Workshop on Privacy in the Electronic Society (WPES), ACM, 2023.
Proceedings
Technical Reports
Understanding the Effect of Private Data in Disinformation Propagation Technical Report
2023.
2022
Journal Articles
Understanding Utility and Privacy of Demographic Data in Education Technology by Causal Analysis and Adversarial-Censoring Journal Article
In: Proceedings on Privacy Enhancing Technologies, vol. 2022, no. 2, pp. 245–262, 2022.
Proceedings Articles
Private Set Generation with Discriminative Information Proceedings Article
In: Neural Information Processing Systems (NeurIPS), 2022.
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models Proceedings Article
In: USENIX Security Symposium (USENIX Security), 2022.
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training Proceedings Article
In: International Conference on Machine Learning (ICML), 2022.
B-cos Networks: Alignment is All We Need for Interpretability Proceedings Article
In: Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources Proceedings Article
In: Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Responsible Disclosure of Generative Models Using Scalable Fingerprinting Proceedings Article
In: International Conference on Representation Learning (ICLR), 2022.
RelaxLoss: Defending Membership Inference Attacks without Losing Utility Proceedings Article
In: International Conference on Representation Learning (ICLR), 2022.
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data Proceedings Article
In: Conference on Health, Inference, and Learning (CHIL), 2022.
2021
Journal Articles
Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations Journal Article
In: International Journal of Computer Vision (IJCV), 2021.
Privacy considerations for sharing genomics data Journal Article
In: EXCLI Journal, 2021.
Proceedings Articles
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data Proceedings Article
In: International Conference on Computer Vision (ICCV), 2021.
Dual Contrastive Loss and Attention for GANs Proceedings Article
In: International Conference on Computer Vision (ICCV), 2021.
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis Proceedings Article
In: 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021.
Convolutional Dynamic Alignment Networks for Interpretable Classifications Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding Proceedings Article
In: IEEE Symposium on Security and Privacy (S&P), 2021.
Future Moment Assessment for Action Query Proceedings Article
In: IEEE Winter Conference on Applications of Computer Vision (WACV ’20), 2021.
Technical Reports
Backdoor Attacks on Network Certification via Data Poisoning Technical Report
arXiv:2108.11299, 2021.
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models Technical Report
arXiv:2102.02551, 2021.
Workshops
Moving Target Defense Workshop in conjuncture with CCS, 2021.
SampleFix: Learning to Generate Functionally Diverse Fixes Workshop
1st International Workshop on Machine Learning in Software Engineering in conjuncture with ECML PKDD, Springer, 2021.
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.
InfoScrub: Towards Attribute Privacy by Targeted Obfuscation Workshop
CVPR Workshop on Fair, Data-Efficient, and Trusted Computer Vision (TCV), 2021.
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service Workshop
CVPR Workshop on Fair, Data-Efficient, and Trusted Computer Vision (TCV), 2021.
2020
Journal Articles
Person Recognition in Personal Photo Collections Journal Article
In: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
Deep Gaze Pooling: Inferring and Visually Decoding Search Intents From Human Gaze Fixations Journal Article
In: Neurocomputing, vol. 387, pp. 369–382, 2020.
Proceedings Articles
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators Proceedings Article
In: Neural Information Processing Systems (NeurIPS), 2020.
GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs Proceedings Article
In: ACM Conference on Computer and Communications Security (CCS) , 2020.
VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity Proceedings Article
In: ACM Conference on Computer and Communications Security (CCS) , 2020.
Haar Wavelet based Block Autoregressive Flows for Trajectories Proceedings Article
In: German Conference on Pattern Recognition (GCPR), 2020.
Long-Tailed Recognition Using Class-Balanced Experts Proceedings Article
In: German Conference on Pattern Recognition (GCPR), 2020.
Semantic Bottlenecks: Quantifying & Improving Inspectability of Deep Representations Proceedings Article
In: German Conference on Patter Recognition (GCPR), 2020.
Towards Automated Testing and Robustification by Semantic Adversarial Data Generation Proceedings Article
In: European Conference on Computer Vision (ECCV), 2020.
Inclusive GAN: Improving Data and Minority Coverage in Generative Models Proceedings Article
In: European Conference on Computer Vision (ECCV), 2020.
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation Proceedings Article
In: European Conference on Computer Vision (ECCV), 2020.
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning Proceedings Article
In: USENIX Security Symposium (USENIX Security 20), 2020.
Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition, 2020.
Normalizing Flows with Multi-scale Autoregressive Priors Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition, 2020.
Automatically Detecting Bystanders in Photos to Reduce Privacy Risks Proceedings Article
In: IEEE Symposium on Security and Privacy (S&P), 2020.
Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks Proceedings Article
In: International Conference on Representation Learning (ICLR), 2020.
Technical Reports
CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning Technical Report
arXiv:2012.08241 , 2020.
Responsible Disclosure of Generative Models Using Scalable Fingerprinting Technical Report
arXiv:2012.08726 , 2020.
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs Technical Report
arXiv:2011.14107 , 2020.
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding Technical Report
arXiv:2009.03015 [cs.CR], 2020.
Black-Box Watermarking for Generative Adversarial Networks Technical Report
arXiv:2007.08457, 2020.
IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis Technical Report
arXiv:2006.10720, 2020.
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators Technical Report
arXiv:2006.08265 , 2020.
InfoScrub: Towards Attribute Privacy by Targeted Obfuscation Technical Report
arXiv:2005.10329 , 2020.
Inclusive GAN: Improving Data and Minority Coverage in Generative Models Technical Report
2020.
Long-Tailed Recognition Using Class-Balanced Experts Technical Report
arXiv:2004.03706 , 2020.
Workshops
SampleFix: Learning to Correct Programs by Sampling Diverse Fixes Workshop
NeurIPS Workshop on Computer-Assisted Programming, 2020.
IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis Workshop
NeurIPS Workshop on Computer-Assisted Programming, 2020.
Haar Wavelet based Block Autoregressive Flows for Trajectories Workshop
NeurIPS Workshop on Machine Learning for Autonomous Driving, 2020.
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.
Synthetic Convolutional Features for Improved Semantic Segmentation Workshop
Workshop on Assistive Computer Vision and Robotics at European Conference on Computer Vision (ECCV-W), 2020.
2019
Journal Articles
MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation Journal Article
In: Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.
Book Sections
Towards reverse-engineering black-box neural networks Book Section
In: Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 2019.
Proceedings Articles
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints Proceedings Article
In: International Conference on Computer Vision (ICCV), 2019.
Deep Appearance Maps Proceedings Article
In: International Conference on Computer Vision (ICCV), 2019.
Knockoff Nets: Stealing Functionality of Black-Box Models Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Time-Conditioned Action Anticipation in One Shot Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods Proceedings Article
In: International Conference on Representation Learning (ICLR), 2019.
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models Proceedings Article
In: Annual Network and Distributed System Security Symposium (NDSS), 2019.
Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources Proceedings Article
In: IEEE Winter Conference on Applications of Computer Vision (WACV), 2019.
Technical Reports
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation Technical Report
arXiv:1912.09685, 2019.
"Best-of-Many-Samples" Distribution Matching Technical Report
arXiv:1909.12598, 2019.
GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs Technical Report
arXiv:1909.03935, 2019.
WhiteNet: Phishing Website Detection by Visual Whitelists Technical Report
arXiv:1909.00300, 2019.
Conditional Flow Variational Autoencoders for Structured Sequence Prediction Technical Report
arXiv:1908.09008, 2019.
Interpretability Beyond Classification Output: Semantic Bottleneck Networks Technical Report
arXiv:1907.10882 , 2019.
Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks Technical Report
2019.
SampleFix: Learning to Correct Programs by Sampling Diverse Fixes Technical Report
arXiv:1906.10502, 2019.
Shape Evasion: Preventing Body Shape Inference of Multi-Stage Approaches Technical Report
arXiv:1905.11503 , 2019.
Learning Manipulation under Physics Constraints with Visual Perception Technical Report
2019.
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning Technical Report
2019.
Workshops
Differential Privacy Defenses and Sampling Attacks for Membership Inference Workshop
NeurIPS Workshop on Privacy in Machine Learning (PRIML), 2019.
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning Workshop
Hot Topics in Privacy Enhancing Technologies (HotPETs), 2019.
Understanding and Recognizing Bystanders in Images for Privacy Protection Workshop
Privacy, Usability, and Transparency (PUT) @ PETs, 2019.
2018
Journal Articles
Advanced Steel Microstructural Classification by Deep Learning Methods Journal Article
In: Scientific Reports, 2018.
Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning Journal Article
In: Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.
Proceedings Articles
Adversarial Scene Editing: Automatic Object Removal from Weak Supervision Proceedings Article
In: Neural Information Processing Systems (NIPS), 2018.
Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes Proceedings Article
In: European Conference on Computer Vision (ECCV), 2018.
A Hybrid Model for Identity Obfuscation by Face Replacement Proceedings Article
In: European Conference on Computer Vision, 2018.
Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions Proceedings Article
In: Visual Learning and Embodied Agents in Simulation Environments Workshop at European Conference on Computer Vision, 2018.
Sequential Attacks on Agents for Long-Term Adversarial Goals Proceedings Article
In: 2. ACM Computer Science in Cars Symposium -- Future Challenges in Artificial Intelligence & Security for Autonomous Vehicles, 2018.
A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation Proceedings Article
In: 27th USENIX Security Symposium (USENIX Security 18), 2018.
Accurate and Diverse Sampling of Sequences based on a “Best of Many” Sample Objective Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
Natural and Effective Obfuscation by Head Inpainting Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
Disentangled Person Image Generation Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
Towards Reverse-Engineering Black-Box Neural Networks Proceedings Article
In: Internation Conference on Representation Learning (ICLR), 2018.
Long-Term Image Boundary Prediction Proceedings Article
In: Association for the Advancement of Artificial Intelligence (AAAI), 2018.
Technical Reports
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.
Knockoff Nets: Stealing Functionality of Black-Box Models Technical Report
arXiv:1812.02766, 2018.
Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images Technical Report
2018.
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service Technical Report
arXiv:1808.00590 [cs.CR], 2018.
Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources Technical Report
arXiv:1807.03235, 2018.
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models Technical Report
arXiv:1806.01246 [cs.CR], 2018.
Adversarial Scene Editing: Automatic Object Removal from Weak Supervision Technical Report
2018.
Sequential Attacks on Agents for Long-Term Adversarial Goals Technical Report
arXiv:1805.12487, 2018.
Understanding and Controlling User Linkability in Decentralized Learning Technical Report
arXiv:1805.05838 [cs.CR], 2018.
A Hybrid Model for Identity Obfuscation by Face Replacement Technical Report
arXiv:1804.04779 [cs.CV], 2018.
Deep Appearance Maps Technical Report
arXiv:1804.00863 [cs.CV], 2018.
2017
Journal Articles
Ask Your Neurons: A Deep Learning Approach to Visual Question Answering Journal Article
In: International Journal of Computer Vision (IJCV), 2017, (to appear).
Novel Views of Objects from a Single Image Journal Article
In: Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.
Proceedings Articles
Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling Proceedings Article
In: Mutual Benefits of Cognitive and Computer Vision Workshop at International Conference on Computer Vision (ICCV-W), 2017.
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images Proceedings Article
In: IEEE International Conference on Computer Vision (ICCV), 2017.
Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training Proceedings Article
In: IEEE International Conference on Computer Vision (ICCV), 2017.
Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective Proceedings Article
In: IEEE International Conference on Computer Vision (ICCV), 2017, 2017.
What Is Around The Camera? Proceedings Article
In: IEEE International Conference on Computer Vision (ICCV), 2017.
Learning Dilation Factors for Semantic Segmentation of Street Scenes Proceedings Article
In: German Conference on Pattern Recognition (GCPR), 2017.
STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
A Domain Based Approach to Social Relation Recognition Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
Exploiting saliency for object segmentation from image level labels Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation Proceedings Article
In: 1st International Workshop on Deep Affective Learning and Context Modeling at Computer Vision and Pattern Recognition Conference (CVPR-W), 2017.
Visual Stability Prediction for Robotic Manipulation Proceedings Article
In: IEEE International Conference on Robotics and Automation (ICRA), 2017, (to appear).
Miscellaneous
Long-Term On-Board Prediction of Pedestrians in Traffic Scenes Miscellaneous
Conference on Robot Learning (CoRL), 2017.
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.
Visual Stability Prediction and Its Application to Manipulation Miscellaneous
AAAI Spring Symposium Series: Interactive Multi-Sensory Object Perception for Embodied Agents, 2017.
Technical Reports
Disentangled Person Image Generation Technical Report
arXiv:1712.02621 [cs.CV], 2017.
Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images Technical Report
arXiv:1712.01066 [cs.CV], 2017.
Natural and Effective Obfuscation by Head Inpainting Technical Report
arXiv:1711.09001 [cs.CV], 2017.
Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty Technical Report
arXiv:1711.09026 [cs.CV], 2017.
A4NT : Author Attribute Anonymity by Adversarial Training of Neural Machine Translation Technical Report
arXiv:1711.01921, 2017.
Whitening Black-Box Neural Networks Technical Report
arXiv:1711.01768, 2017.
Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning Technical Report
arXiv:1711.00267, 2017.
Person Recognition in Social Media Photos Technical Report
no. arXiv:1710.03224 [cs.CV], 2017.
Advanced Steel Microstructure Classification by Deep Learning Methods Technical Report
arXiv:1706.06480 [cs.CV], 2017.
Visual Decoding of Targets During Visual Search From Human Eye Fixations Technical Report
arXiv:1706.05993 [cs.CV], 2017.
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images Technical Report
arXiv:1703.10660 [cs.CV], 2017.
Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training Technical Report
arXiv:1703.10476 [cs.CV], 2017.
Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective Technical Report
arXiv:1703.09471 [cs.CV], 2017.
Exploiting saliency for object segmentation from image level labels Technical Report
arXiv:1701.08261 [cs.CV], 2017.
2016
Proceedings Articles
Faceless Person Recognition; Privacy Implications in Social Media Proceedings Article
In: European Conference on Computer Vision (ECCV), 2016, (to appear).
VConv-DAE: Deep Volumetric Shape Learning Without Object Labels Proceedings Article
In: Geometry Meets Deep Learning Workshop at European Conference on Computer Vision (ECCV-W), 2016.
Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles Proceedings Article
In: Asian Conference on Computer Vision (ACCV), 2016, (to appear).
Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task Proceedings Article
In: British Machine Vision Conference (BMVC), 2016, (to appear).
Deep Reflectance Maps Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
Multi-Cue Zero-Shot Learning with Strong Supervision Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
I-Pic: A Platform for Privacy-Compliant Image Capture Proceedings Article
In: The 14th International Conference on Mobile Systems, Applications, and Services (MobiSys'16), Singapore, 2016.
Learning to Select Long Track Features for Structure-From-Motion & Visual SLAM Proceedings Article
In: German Conference on Pattern Recognition (GCPR), 2016.
Contextual Media Retrieval Using Natural Language Queries Proceedings Article
In: ACM International Conference on Multimedia Retrieval (ICMR), 2016, (to appear).
Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space Proceedings Article
In: IEEE Winter Conference on Applications of Computer Vision (WACV), 2016.
Miscellaneous
Visual Stability Prediction and Its Application to Manipulation Miscellaneous
NIPS Workshop on Intuitive Physics, 2016.
Long Term Boundary Extrapolation for Deterministic Motion Miscellaneous
NIPS Workshop on Intuitive Physics, 2016.
Faceless Person Recognition; Privacy Implications in Social Media Miscellaneous
4th Workshop on Web-scale Vision and Social Media (VSM), ECCV'16, 2016.
Ask Your Neurons Again: Analysis of Deep Methods with Global Image Representation Miscellaneous
VQA Challenge Workshop at CVPR, 2016.
PhD Theses
Bayesian Non-Parametrics for Multi-Modal Segmentation PhD Thesis
2016.
Technical Reports
Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling Technical Report
arXiv:1611.10162 [cs.CV], 2016.
Long-Term Image Boundary Extrapolation Technical Report
arXiv:1611.08841 [cs.CV], 2016.
Natural Illumination from Multiple Materials Using Deep Learning Technical Report
arXiv:1611.09325 [cs.CV], 2016.
It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation Technical Report
arXiv:1611.08860 [cs.CV], 2016.
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).
Visual Stability Prediction and Its Application to Manipulation Technical Report
arXiv:1609.04861 [cs.CV], 2016.
Spatio-Temporal Image Boundary Extrapolation Technical Report
arXiv:1605.07363 [cs.CV], 2016.
Ask Your Neurons: A Deep Learning Approach to Visual Question Answering Technical Report
arXiv:1605.02697 [cs.CV], 2016.
VConv-DAE: Deep Volumetric Shape Learning Without Object Labels Technical Report
arXiv:1604.03755 [cs.CV], 2016.
RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling Technical Report
arXiv:1604.02388 [cs.CV], 2016.
To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction Technical Report
arXiv:1604.00066 [cs.CV], 2016.
DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination Technical Report
arXiv:1602.00328 [cs.CV], 2016.
Multi-Cue Zero-Shot Learning with Strong Supervision Technical Report
arXiv:1603.08754 [cs.CV], 2016.
Novel Views of Objects from a Single Image Technical Report
arXiv:1602.00328 [cs.CV], 2016.
Contextual Media Retrieval Using Natural Language Queries Technical Report
arXiv:1602.04983 [cs.IR], 2016.
2015
Journal Articles
Learning to detect visual grasp affordance Journal Article
In: IEEE Transactions on Automation Science and Engineering (TASE), 2015.
Proceedings Articles
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images Proceedings Article
In: IEEE International Conference on Computer Vision (ICCV), 2015, (oral).
See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG Proceedings Article
In: IEEE International Conference on Computer Vision (ICCV), 2015.
Person Recognition in Personal Photo Collections Proceedings Article
In: IEEE International Conference on Computer Vision (ICCV), 2015.
Teaching Robots the Use of Human Tools from Demonstration with Non-Dexterous End-Effectors Proceedings Article
In: IEEE RAS International Conference on Humanoid Robots (HUMANOIDS), 2015, (to appear).
Appearance-based gaze estimation in the wild Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
Prediction of search targets from fixations in open-world settings Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
Joint Segmentation and Activity Discovery using Semantic and Temporal Priors Proceedings Article
In: IEEE Internation Conference on Pervasive Computing and Communication (PERCOM), 2015.
Hard to Cheat: A Turing Test based on Answering Questions about Images Proceedings Article
In: AAAI Workshop Beyond The Turing Test, 2015.
Masters Theses
Contextual Media Retrieval Using Natural Language Queries Masters Thesis
Saarland University, 2015.
Miscellaneous
Bridging the Gap Between Synthetic and Real Data Miscellaneous
Machine Learning with Interdependent and Non-identically Distributed Data (Dagstuhl Seminar 15152), 2015, (to appear).
Technical Reports
Deep Reflectance Maps Technical Report
arXiv:1511.04384 [cs.CV], 2015.
Person Recognition in Personal Photo Collections Technical Report
arXiv:1509.03502 [cs.CV], 2015.
Appearance-based gaze estimation in the wild Technical Report
arXiv:1504.02863, 2015.
Prediction of search targets from fixations in open-world settings Technical Report
arXiv:1502.05137 [cs.CV], 2015.
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images Technical Report
arXiv:1505.01121, 2015.
See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG Technical Report
arXiv:1505.00663 [cs.CV], 2015.
GazeDPM: Early Integration of Gaze Information in Deformable Part Models Technical Report
arXiv:1505.05753 [cs.CV], 2015.
2014
Proceedings Articles
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input Proceedings Article
In: Neural Information Processing Systems (NIPS), 2014.
Anytime Recognition of Objects and Scenes Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014, (oral).
Image-based Synthesis and Re-Synthesis of Viewpoints Guided by 3D Models Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014, (oral).
Towards a Visual Turing Challenge Proceedings Article
In: NIPS Workshop on Learning Semantics, 2014.
Object Disambiguation for Augmented Reality Applications Proceedings Article
In: British Machine Vision Conference (BMVC), 2014.
Ubic: Bridging the Gap Between Digital Cryptography and the Physical World Proceedings Article
In: European Symposium on Research in Computer Security (ESORICS), 2014.
Scene Segmentation in Adverse Vision Conditions Proceedings Article
In: Young Researcher Forum at GCPR based on master thesis supervised by Mario Fritz, 2014.
Learning Multi-Scale Representations for Material Classification Proceedings Article
In: Young Researcher Forum at GCPR based on master thesis supervised by Mario Fritz, 2014.
Technical Reports
A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation Technical Report
arXiv:1411.5190 [cs.CV], 2014.
Learning Multi-Scale Representations for Material Classification Technical Report
arXiv:1408.2938 [cs.CV], 2014.
Ubic: Bridging the gap between digital cryptography and the physical world Technical Report
arXiv:1403.1343 [cs.CR], 2014.
2013
Book Sections
A Category-Level 3D Object Dataset: Putting the Kinect to Work Book Section
In: Fossati, Andrea; Gall, Juergen; Grabner, Helmut; Ren, Xiaofeng; Konolige, Kurt (Ed.): Consumer Depth Cameras for Computer Vision, Springer London, 2013.
Proceedings Articles
Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling Proceedings Article
In: IEEE International Conference on Computer Vision (ICCV), 2013.
Learning Smooth Pooling Regions for Visual Recognition Proceedings Article
In: British Machine Vision Conference (BMVC), 2013.
Dynamic Feature Selection for Classification on a Budget Proceedings Article
In: ICML Workshop on Prediction with Sequential Models, 2013.
Multi-Class Video Co-Segmentation with a Generative Multi-Video Model Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
Masters Theses
Scene Segmentation in Adverse Vision Conditions Masters Thesis
Saarland University, 2013.
Multi-Scale Feature Learning for Material Recognition Masters Thesis
Saarland University, 2013.
Technical Reports
Learnable Pooling Regions for Image Classification Technical Report
arXiv:1301.3516 [cs.CV], 2013, (Workshop at International Conference on Learning Representations).
2012
Journal Articles
A Geometric Approach To Robotic Laundry Folding Journal Article
In: International Journal of Robotics Research (IJRR), 2012.
Proceedings Articles
Kernel Density Topic Models: Visual Topics Without Visual Words Proceedings Article
In: NIPS Workshop Modern Non-Parametric Methods in Machine Learning, 2012.
Active Metric Learning for Object Recognition Proceedings Article
In: DAGM/OAGM Symposium, 2012.
Semi-Supervised Learning on a Budget: Scaling up to Large Datasets Proceedings Article
In: Asian Conference on Computer Vision (ACCV), 2012.
The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image Proceedings Article
In: Asian Conference on Computer Vision (ACCV), 2012.
Timely Object Recognition Proceedings Article
In: Advances in Neural Information Processing Systems (NIPS), 2012.
Sparselet Models for Efficient Multiclass Object Detection Proceedings Article
In: European Conference on Computer Vision (ECCV), 2012.
Recognizing Materials from Virtual Examples Proceedings Article
In: European Conference on Computer Vision (ECCV), 2012.
RALF: A Reinforced Active Learning Formulation for Object Class Recognition Proceedings Article
In: IEEE Computer Vision and Pattern Recognition (CVPR), 2012.
2011
Proceedings Articles
Parameterized Shape Models for Clothing Proceedings Article
In: IEEE International Conference on Robotics and Automation (ICRA), 2011.
A Probabilistic Model for Recursive Factorized Image Features Proceedings Article
In: IEEE Computer Vision and Pattern Recognition (CVPR), 2011.
Pick your Neighborhood -- Improving Labels and Neighborhood Structure for Label Propagation Proceedings Article
In: Pattern Recognition, DAGM Symposium, 2011.
Improving the Kinect by Cross-Modal Stereo Proceedings Article
In: British Machine Vision Conference (BMVC), 2011.
Practical 3-D Object Detection Using Category and Instance-level Appearance Models Proceedings Article
In: IEEE International Conference on Intelligent Robots and Systems (IROS), 2011.
Perception for the Manipulation of Socks Proceedings Article
In: IEEE International Conference on Intelligent Robots and Systems (IROS), 2011.
The NBNN kernel Proceedings Article
In: IEEE International Conference on Computer Vision (ICCV), 2011.
I spy with my little eye: Learning Optimal Filters for Cross-Modal Stereo under Projected Patterns Proceedings Article
In: IEEE Workshop on Consumer Depth Cameras for Computer Vision, 2011.
Visual Grasp Affordances From Appearance-Based Cues Proceedings Article
In: IEEE Workshop on Challenges and Opportunities in Robot Perception, 2011.
A Category-Level 3-D Object Dataset: Putting the Kinect to Work Proceedings Article
In: IEEE Workshop on Consumer Depth Cameras for Computer Vision, 2011.
Masters Theses
Optimization Algorithms in the Reconstruction of MR Images: A Comparative Study Masters Thesis
Saarland University, 2011.
2010
Journal Articles
Tutor-based learning of visual categories using different levels of supervision Journal Article
In: Computer Vision and Image Understanding, vol. 114, pp. 564–573, 2010, ISSN: 1077-3142.
Classifying materials in the real world Journal Article
In: Image and Vision Computing, vol. 28, pp. 150–163, 2010, ISSN: 0262-8856.
Book Sections
Categorical Perception Book Section
In: Cognitive Systems, Springer, 2010.
Multi-Modal Learning Book Section
In: Cognitive Systems, Springer, 2010.
Size Matters: Metric Visual Search Constraints from Monocular Metadata Book Section
In: Advances in Neural Information Processing Systems (NIPS), 2010.
Proceedings Articles
Adapting visual category models to new domains Proceedings Article
In: European Conference on Computer Vision (ECCV), 2010.
2009
Book Sections
Towards Integration of Different Paradigms in Modeling, Representation and Learning of Visual Categories Book Section
In: Object Categorization: Computer and Human Vision Perspectives, Cambridge University Press, 2009.
Proceedings Articles
Discriminative Structure Learning of Hierarchical Representations for Object Detection Proceedings Article
In: IEEE Computer Vision and Pattern Recognition (CVPR), 2009.
An Additive Latent Feature Model for Transparent Object Recognition Proceedings Article
In: Advances in Neural Information Processing Systems (NIPS), 2009, ((oral)).
PhD Theses
Modeling, Representing and Learning of Visual Categories PhD Thesis
TU Darmstadt, 2009.
Proceedings
Springer, vol. 5815, 2009, ISBN: 978-3-642-04666-7.
2008
Proceedings Articles
Discovery of activity patterns using topic models Proceedings Article
In: International Conference on Ubiquitous computing (UbiComp), 2008.
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features Proceedings Article
In: European Conference on Computer Vision (ECCV), 2008.
Decomposition, Discovery and Detection of Visual Categories Using Topic Models Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
2007
Proceedings Articles
Towards Robust Pedestrian Detection in Crowded Image Sequences Proceedings Article
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007.
Cross-Modal Learning of Visual Categories using Different Levels of Supervision Proceedings Article
In: International Conference on Vision Systems (ICVS), 2007.
2006
Proceedings Articles
The 2005 PASCAL Visual Object Classes Challenge Proceedings Article
In: Selected Proceedings of the first PASCAL Challenges Workshop, 2006.
Towards Unsupervised Discovery of Visual Categories Proceedings Article
In: Pattern Recognition, DAGM Symposium, 2006.
2005
Proceedings Articles
Integrating Representative and Discriminant Models for Object Category Detection Proceedings Article
In: IEEE International Conference on Computer Vision (ICCV), 2005.
2004
Proceedings Articles
On the Significance of Real-World Conditions for Material Classification Proceedings Article
In: European Conference on Computer Vision (ECCV), 2004.
Miscellaneous
Categorization by Local Information Using Support Vector Machines Miscellaneous
Master Thesis, 2004.
2002
Proceedings Articles
Object Tracking and Pose Estimation Using Light-Field Object Models Proceedings Article
In: Vision, Modeling, and Visualization Conference (VMV), 2002.
Miscellaneous
3D Objektverfolgung mit Lichtfeldern (3D object tracking using light-fields) Miscellaneous
2002, (student thesis).