Robin Chan

29 papers A* 1A 2B 4Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Enhancing Person-to-Person Virtual Try-On with Multi-Garment Virtual Try-Off.
CoRR
Riza Velioglu, Petra Bevandic, Robin Chan, Barbara Hammer
2025 — conf
MGT: Extending Virtual Try-Off to Multi-Garment Scenarios.
ICCVW
Riza Velioglu, Petra Bevandic, Robin Chan, Barbara Hammer
2024 B conf
FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation.
IJCNN
Riza Velioglu, Robin Chan, Barbara Hammer
2024 J jnl
FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation.
CoRR
Riza Velioglu, Robin Chan, Barbara Hammer
2024 A conf
Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes.
WACV
Youssef Shoeb, Robin Chan, Gesina Schwalbe, Azarm Nowzad, Fatma Güney, Hanno Gottschalk
2024 J jnl
New advances in universal approximation with neural networks of minimal width.
CoRR
Dennis Rochau, Robin Chan, Hanno Gottschalk
2024 J jnl
TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models.
CoRR
Riza Velioglu, Petra Bevandic, Robin Chan, Barbara Hammer
2023 J jnl
Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes.
CoRR
Youssef Shoeb, Robin Chan, Gesina Schwalbe, Azarm Nowzad, Fatma Güney, Hanno Gottschalk
2023 B conf
LU-Net: Invertible Neural Networks Based on Matrix Factorization.
IJCNN
Robin Chan, Sarina Penquitt, Hanno Gottschalk
2023 J jnl
LU-Net: Invertible Neural Networks Based on Matrix Factorization.
CoRR
Robin Chan, Sarina Penquitt, Hanno Gottschalk
2023 J jnl
What should AI see? Using the public's opinion to determine the perception of an AI.
AI Ethics
Robin Chan, Radin Dardashti, Meike Osinski, Matthias Rottmann, Dominik Brüggemann, Cilia Rücker, Peter Schlicht, Fabian Hüger, Nikol Rummel, Hanno Gottschalk
2022 — —
Detecting Anything Overlooked in Semantic Segmentation.
Robin Chan
2022 J jnl
Detecting and Learning the Unknown in Semantic Segmentation.
CoRR
Robin Chan, Svenja Uhlemeyer, Matthias Rottmann, Hanno Gottschalk
2022 — conf
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects.
ACCV (5)
Kira Maag, Robin Chan, Svenja Uhlemeyer, Kamil Kowol, Hanno Gottschalk
2022 J jnl
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects.
CoRR
Kira Maag, Robin Chan, Svenja Uhlemeyer, Kamil Kowol, Hanno Gottschalk
2022 J jnl
Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning.
CoRR
Julian Burghoff, Robin Chan, Hanno Gottschalk, Annika Mütze, Tobias Riedlinger, Matthias Rottmann, Marius Schubert
2022 J jnl
What should AI see? Using the Public's Opinion to Determine the Perception of an AI.
CoRR
Robin Chan, Radin Dardashti, Meike Osinski, Matthias Rottmann, Dominik Brüggemann, Cilia Rücker, Peter Schlicht, Fabian Hüger, Nikol Rummel, Hanno Gottschalk
2021 A* conf
Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation.
ICCV
Robin Chan, Matthias Rottmann, Hanno Gottschalk
2021 — conf
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation.
NeurIPS Datasets and Benchmarks
Robin Chan, Krzysztof Lis, Svenja Uhlemeyer, Hermann Blum, Sina Honari, Roland Siegwart, Pascal Fua, Mathieu Salzmann, Matthias Rottmann
2021 J jnl
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation.
CoRR
Robin Chan, Krzysztof Lis, Svenja Uhlemeyer, Hermann Blum, Sina Honari, Roland Siegwart, Mathieu Salzmann, Pascal Fua, Matthias Rottmann
2020 B conf
Controlled False Negative Reduction of Minority Classes in Semantic Segmentation.
IJCNN
Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2020 A conf
Detection of False Positive and False Negative Samples in Semantic Segmentation.
DATE
Matthias Rottmann, Kira Maag, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2020 J jnl
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation.
CoRR
Robin Chan, Matthias Rottmann, Hanno Gottschalk
2020 B conf
Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities.
IJCNN
Matthias Rottmann, Pascal Colling, Thomas-Paul Hack, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2019 J jnl
Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation.
CoRR
Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2019 J jnl
Detection of False Positive and False Negative Samples in Semantic Segmentation.
CoRR
Matthias Rottmann, Kira Maag, Robin Chan, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2019 J jnl
MetaFusion: Controlled False-Negative Reduction of Minority Classes in Semantic Segmentation.
CoRR
Robin Chan, Matthias Rottmann, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2019 — conf
The Ethical Dilemma When (Not) Setting up Cost-Based Decision Rules in Semantic Segmentation.
CVPR Workshops
Robin Chan, Matthias Rottmann, Radin Dardashti, Fabian Hüger, Peter Schlicht, Hanno Gottschalk
2019 J jnl
The Ethical Dilemma when (not) Setting up Cost-based Decision Rules in Semantic Segmentation.
CoRR
Robin Chan, Matthias Rottmann, Radin Dardashti, Fabian Hüger, Peter Schlicht, Hanno Gottschalk