| MVTec AD--A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection P Bergmann, M Fauser, D Sattlegger, C Steger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 1226 | 2019 |
| Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders P Bergmann, S Löwe, M Fauser, D Sattlegger, C Steger Proceedings of the 14th International Joint Conference on Computer Vision …, 2018 | 615 | 2018 |
| Uninformed students: Student-teacher anomaly detection with discriminative latent embeddings P Bergmann, M Fauser, D Sattlegger, C Steger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 567 | 2020 |
| The MVTec Anomaly Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection P Bergmann, K Batzner, M Fauser, D Sattlegger, C Steger International Journal of Computer Vision 129 (4), 1038-1059, 2021 | 256 | 2021 |
| Beyond Dents and Scratches: Logical Constraints in Unsupervised Anomaly Detection and Localization P Bergmann, K Batzner, M Fauser, D Sattlegger, C Steger International Journal of Computer Vision 130 (4), 947-969, 2022 | 76 | 2022 |
| The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization P Bergmann, X Jin, D Sattlegger, C Steger arXiv preprint arXiv:2112.09045, 2021 | 76 | 2021 |
| Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors P Bergmann, D Sattlegger arXiv preprint arXiv:2202.11660, 2022 | 33 | 2022 |
| Discretising the Herman–Kluk propagator C Lasser, D Sattlegger Numerische Mathematik 137 (1), 119-157, 2017 | 24 | 2017 |
| Parallel algorithms for semiclassical quantum dynamics M Liebmann, D Sattlegger Preprint No. IGDK-2015-25, 2015 | 2 | 2015 |
| Efficient Algorithms for Semiclassical Quantum Dynamics D Sattlegger Technische Universität München, 2015 | 1 | 2015 |
Paul BergmannDeep Learning Engineer at AppleVerified email at apple.com
