| 2025 | ICCV | MGT: Extending Virtual Try-Off to Multi-Garment Scenarios. | Riza Velioglu, Petra Bevandic, Robin Chan, Barbara Hammer |
| 2024 | ACL | What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages. | Nadav Borenstein, Anej Svete, Robin Chan, Josef Valvoda, Franz Nowak, Isabelle Augenstein, Eleanor Chodroff, Ryan Cotterell |
| 2024 | ACL | Computational Expressivity of Neural Language Models. | Alexandra Butoi, Robin Chan, Ryan Cotterell, William Merrill, Franz Nowak, Clemente Pasti, Lena Strobl, Anej Svete |
| 2024 | ACL | On Efficiently Representing Regular Languages as RNNs. | Anej Svete, Robin Chan, Ryan Cotterell |
| 2024 | EMNLP | Adapting LLMs for Structured Natural Language API Integration. | Robin Chan, Katsiaryna Mirylenka, Thomas Gschwind, Christoph Miksovic, Paolo Scotton, Enrico Toniato, Abdel Labbi |
| 2024 | IJCNN | FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation. | Riza Velioglu, Robin Chan, Barbara Hammer |
| 2024 | WACV | Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes. | Youssef Shoeb, Robin Chan, Gesina Schwalbe, Azarm Nowzad, Fatma Gney, Hanno Gottschalk |
| 2023 | ACL | Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained Counterfactuals. | Robin Chan, Afra Amini, Mennatallah El-Assady |
| 2023 | IJCNN | LU-Net: Invertible Neural Networks Based on Matrix Factorization. | Robin Chan, Sarina Penquitt, Hanno Gottschalk |
| 2022 | ACCV | Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects. | Kira Maag, Robin Chan, Svenja Uhlemeyer, Kamil Kowol, Hanno Gottschalk |
| 2021 | ICCV | Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation. | Robin Chan, Matthias Rottmann, Hanno Gottschalk |
| 2020 | DATE | Detection of False Positive and False Negative Samples in Semantic Segmentation. | Matthias Rottmann, Kira Maag, Robin Chan, Fabian Hger, Peter Schlicht, Hanno Gottschalk |
| 2020 | IJCNN | Controlled False Negative Reduction of Minority Classes in Semantic Segmentation. | Robin Chan, Matthias Rottmann, Fabian Hger, Peter Schlicht, Hanno Gottschalk |
| 2020 | IJCNN | Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities. | Matthias Rottmann, Pascal Colling, Thomas-Paul Hack, Robin Chan, Fabian Hger, Peter Schlicht, Hanno Gottschalk |
| 2019 | CVPR | The Ethical Dilemma When (Not) Setting up Cost-Based Decision Rules in Semantic Segmentation. | Robin Chan, Matthias Rottmann, Radin Dardashti, Fabian Hger, Peter Schlicht, Hanno Gottschalk |