Robin Chan

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 26

Top Topics

Semantic Segmentation

Top Venues

Publications

Anej Svete, Robin Chan, Ryan Cotterell
On Efficiently Representing Regular Languages as RNNs. ACL (Findings) (2024)
Robin Chan, Reda Boumasmoud, Anej Svete, Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Mennatallah El-Assady, Ryan Cotterell
On Affine Homotopy between Language Encoders. CoRR (2024)
Riza Velioglu, Robin Chan, Barbara Hammer
FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation. CoRR (2024)
Robin Chan, Afra Amini, Mennatallah El-Assady
Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained Counterfactuals. CoRR (2023)
Robin Chan, Afra Amini, Mennatallah El-Assady
Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained Counterfactuals. ACL (demo) (2023)
Robin Chan, Sarina Penquitt, Hanno Gottschalk
LU-Net: Invertible Neural Networks Based on Matrix Factorization. IJCNN (2023)
Robin Chan, Sarina Penquitt, Hanno Gottschalk
LU-Net: Invertible Neural Networks Based on Matrix Factorization. CoRR (2023)
Youssef Shoeb, Robin Chan, Gesina Schwalbe, Azarm Nowzad, Fatma Güney, Hanno Gottschalk
Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes. CoRR (2023)
Robin Chan, Radin Dardashti, Meike Osinski, Matthias Rottmann, Dominik Brüggemann, Cilia Rücker, Peter Schlicht, Fabian Hüger, Nikol Rummel, Hanno Gottschalk
What should AI see? Using the public's opinion to determine the perception of an AI. AI Ethics 3 (4) (2023)
Kira Maag, Robin Chan, Svenja Uhlemeyer, Kamil Kowol, Hanno Gottschalk
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects. ACCV (5) (2022)
Julian Burghoff, Robin Chan, Hanno Gottschalk, Annika Mütze, Tobias Riedlinger, Matthias Rottmann, Marius Schubert
Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning. CoRR (2022)
Robin Chan, Svenja Uhlemeyer, Matthias Rottmann, Hanno Gottschalk
Detecting and Learning the Unknown in Semantic Segmentation. CoRR (2022)
Robin Chan, Radin Dardashti, Meike Osinski, Matthias Rottmann, Dominik Brüggemann, Cilia Rücker, Peter Schlicht, Fabian Hüger, Nikol Rummel, Hanno Gottschalk
What should AI see? Using the Public's Opinion to Determine the Perception of an AI. CoRR (2022)
Kira Maag, Robin Chan, Svenja Uhlemeyer, Kamil Kowol, Hanno Gottschalk
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects. CoRR (2022)
Robin Chan, Krzysztof Lis, Svenja Uhlemeyer, Hermann Blum, Sina Honari, Roland Siegwart, Mathieu Salzmann, Pascal Fua, Matthias Rottmann
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation. CoRR (2021)
Robin Chan, Matthias Rottmann, Hanno Gottschalk
Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation. ICCV (2021)
Robin Chan, Krzysztof Lis, Svenja Uhlemeyer, Hermann Blum, Sina Honari, Roland Siegwart, Pascal Fua, Mathieu Salzmann, Matthias Rottmann
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation. NeurIPS Datasets and Benchmarks (2021)
Matthias Rottmann, Pascal Colling, Thomas-Paul Hack, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities. IJCNN (2020)
Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Controlled False Negative Reduction of Minority Classes in Semantic Segmentation. IJCNN (2020)
Robin Chan, Matthias Rottmann, Hanno Gottschalk
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation. CoRR (2020)
Matthias Rottmann, Kira Maag, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Detection of False Positive and False Negative Samples in Semantic Segmentation. DATE (2020)
Robin Chan, Matthias Rottmann, Radin Dardashti, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
The Ethical Dilemma When (Not) Setting up Cost-Based Decision Rules in Semantic Segmentation. CVPR Workshops (2019)
Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
MetaFusion: Controlled False-Negative Reduction of Minority Classes in Semantic Segmentation. CoRR (2019)
Robin Chan, Matthias Rottmann, Radin Dardashti, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
The Ethical Dilemma when (not) Setting up Cost-based Decision Rules in Semantic Segmentation. CoRR (2019)
Matthias Rottmann, Kira Maag, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Detection of False Positive and False Negative Samples in Semantic Segmentation. CoRR (2019)
Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation. CoRR (2019)
Marcia Levin Pelchat, Andrea Johnson, Robin Chan, Jeffrey Valdez, John Daniel Ragland
Images of desire: food-craving activation during fMRI. NeuroImage 23 (4) (2004)