15 Publikationen
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2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 3001612Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving ScenesPUB | DOI | WoS
Shoeb, Y., Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes. 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (). Los Alamitos, 2024 -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2989164FashionFail: Addressing Failure Cases in Fashion Object Detection and SegmentationPUB | DOI | WoS | arXiv
Velioglu, Riza, FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation. 2024 International Joint Conference on Neural Networks (IJCNN) (). New York, 2024 -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2968966
What should AI see? Using the public’s opinion to determine the perception of an AIPUB | PDF | DOI | Download (ext.) | arXiv | Preprint
Chan, Robin Kien-Wei, What should AI see? Using the public’s opinion to determine the perception of an AI. AI and Ethics 3 (4). , 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982070LU-Net: Invertible Neural Networks Based on Matrix FactorizationPUB | DOI
Chan, Robin Kien-Wei, LU-Net: Invertible Neural Networks Based on Matrix Factorization. 2023 International Joint Conference on Neural Networks (IJCNN) (). Piscataway, NJ, 2023 -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969466Two Video Data Sets for Tracking and Retrieval of Out of Distribution ObjectsPUB | DOI | Download (ext.)
Maag, Kira, Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects. Computer Vision – ACCV 2022. 16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022, Proceedings, Part V 13845 (). Cham, 2023 -
2022 | Dissertation | Veröffentlicht | PUB-ID: 2968878Detecting Anything Overlooked in Semantic SegmentationPUB | DOI | Download (ext.)
Chan, Robin Kien-Wei, Detecting Anything Overlooked in Semantic Segmentation. (). , 2022 -
2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2968876Detecting and Learning the Unknown in Semantic SegmentationPUB | DOI
Chan, Robin Kien-Wei, Detecting and Learning the Unknown in Semantic Segmentation. Deep Neural Networks and Data for Automated Driving. Robustness, Uncertainty Quantification, and Insights Towards Safety (). Cham, 2022 -
2021 | Konferenzbeitrag | PUB-ID: 2968879SegmentMeIfYouCan: A Benchmark for Anomaly SegmentationPUB | Download (ext.) | arXiv
Chan, Robin Kien-Wei, SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation. Proceedings of the Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks (). , 2021 -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2968881Software architecture for human- centered reliability assessment for neural networks in autonomousPUB | DOI
Brüggemann, D, Software architecture for human- centered reliability assessment for neural networks in autonomous. Proc. of the 11th IMA International Conference on Modelling in Industrial Maintenance and Reliability (). , 2021 -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2968880Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic SegmentationPUB | DOI
Chan, Robin Kien-Wei, Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (). , 2021 -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2968885Detection of False Positive and False Negative Samples in Semantic SegmentationPUB | DOI
Rottmann, Matthias, Detection of False Positive and False Negative Samples in Semantic Segmentation. 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE) (). , 2020 -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2968884Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax ProbabilitiesPUB | DOI
Rottmann, Matthias, Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities. 2020 International Joint Conference on Neural Networks (IJCNN) (). , 2020 -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2968883Controlled False Negative Reduction of Minority Classes in Semantic SegmentationPUB | DOI
Chan, Robin Kien-Wei, Controlled False Negative Reduction of Minority Classes in Semantic Segmentation. 2020 International Joint Conference on Neural Networks (IJCNN) (). , 2020 -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2968882Application of Maximum Likelihood Decision Rules for Handling Class Imbalance in Semantic SegmentationPUB | DOI
Chan, Robin Kien-Wei, Application of Maximum Likelihood Decision Rules for Handling Class Imbalance in Semantic Segmentation. Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (). Singapore, 2020 -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2968886The Ethical Dilemma When (Not) Setting up Cost-Based Decision Rules in Semantic SegmentationPUB | DOI
Chan, Robin Kien-Wei, The Ethical Dilemma When (Not) Setting up Cost-Based Decision Rules in Semantic Segmentation. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (). , 2019