PUB - Publikationen an der Universität Bielefeld

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• [13]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982070

  Chan RK-W, Penquitt S, Gottschalk H. LU-Net: Invertible Neural Networks Based on Matrix Factorization. In: 2023 International Joint Conference on Neural Networks (IJCNN). Piscataway, NJ: IEEE; 2023: 1-10.

  PUB | DOI
   
• [12]
  

  2023 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2968966

  Chan RK-W, Dardashti R, Osinski M, et al. What should AI see? Using the public’s opinion to determine the perception of an AI. AI and Ethics. 2023.

  PUB | DOI | Download (ext.) | arXiv | Preprint
   
• [11]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969466

  Maag K, Chan RK-W, Uhlemeyer S, Kowol K, Gottschalk H. Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects. In: Wang L, Gall J, Chin T-J, Sato I, Chellappa R, eds. Computer Vision – ACCV 2022. 16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022, Proceedings, Part V. Lecture Notes in Computer Science. Vol 13845. Cham: Springer Nature Switzerland; 2023: 476-494.

  PUB | DOI | Download (ext.)
   
• [10]
  

  2022 | Dissertation | Veröffentlicht | PUB-ID: 2968878

  Chan RK-W. Detecting Anything Overlooked in Semantic Segmentation. Bergische Universität Wuppertal; 2022.

  PUB | DOI | Download (ext.)
   
• [9]
  

  2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2968876

  Chan RK-W, Uhlemeyer S, Rottmann M, Gottschalk H. Detecting and Learning the Unknown in Semantic Segmentation. In: Fingscheidt T, Gottschalk H, Houben S, eds. Deep Neural Networks and Data for Automated Driving. Robustness, Uncertainty Quantification, and Insights Towards Safety. Cham: Springer International Publishing; 2022: 277-313.

  PUB | DOI
   
• [8]
  

  2021 | Konferenzbeitrag | PUB-ID: 2968879

  Chan RK-W, Lis K, Uhlemeyer S, et al. SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation. In: Proceedings of the Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks. 2021.

  PUB | Download (ext.) | arXiv
   
• [7]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2968881

  Brüggemann D, Chan RK-W, Gottschalk H, Bracke S. Software architecture for human- centered reliability assessment for neural networks in autonomous. In: Proc. of the 11th IMA International Conference on Modelling in Industrial Maintenance and Reliability. Institute of Mathematics & its Applications; 2021.

  PUB | DOI
   
• [6]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2968880

  Chan RK-W, Rottmann M, Gottschalk H. Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation. In: 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE; 2021: 5108-5117.

  PUB | DOI
   
• [5]
  

  2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2968885

  Rottmann M, Maag K, Chan RK-W, Huger F, Schlicht P, Gottschalk H. Detection of False Positive and False Negative Samples in Semantic Segmentation. In: 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE). IEEE; 2020: 1351-1356.

  PUB | DOI
   
• [4]
  

  2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2968884

  Rottmann M, Colling P, Paul Hack T, et al. Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities. In: 2020 International Joint Conference on Neural Networks (IJCNN). IEEE; 2020: 1-9.

  PUB | DOI
   
• [3]
  

  2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2968883

  Chan RK-W, Rottmann M, Huger F, Schlicht P, Gottschalk H. Controlled False Negative Reduction of Minority Classes in Semantic Segmentation. In: 2020 International Joint Conference on Neural Networks (IJCNN). IEEE; 2020: 1-8.

  PUB | DOI
   
• [2]
  

  2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2968882

  Chan RK-W, Rottmann M, Gottschalk H, Hüger F, Schlicht P. Application of Maximum Likelihood Decision Rules for Handling Class Imbalance in Semantic Segmentation. In: Baraldi P, Maio FD, Zio E, eds. Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference. Singapore: Research Publishing Services; 2020: 3065-3072.

  PUB | DOI
   
• [1]
  

  2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2968886

  Chan RK-W, Rottmann M, Dardashti R, Huger F, Schlicht P, Gottschalk H. The Ethical Dilemma When (Not) Setting up Cost-Based Decision Rules in Semantic Segmentation. In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE; 2019: 1395-1403.

  PUB | DOI