Follow
David Sattlegger
David Sattlegger
Research Engineer, MVTec Software GmbH
Verified email at mvtec.com
Title
Cited by
Cited by
Year
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
12242019
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
6142018
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
5652020
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
2552021
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
762021
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
752022
Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors
P Bergmann, D Sattlegger
arXiv preprint arXiv:2202.11660, 2022
332022
Discretising the Herman–Kluk propagator
C Lasser, D Sattlegger
Numerische Mathematik 137 (1), 119-157, 2017
242017
Parallel algorithms for semiclassical quantum dynamics
M Liebmann, D Sattlegger
Preprint No. IGDK-2015-25, 2015
22015
Efficient Algorithms for Semiclassical Quantum Dynamics
D Sattlegger
Technische Universität München, 2015
12015
The system can't perform the operation now. Try again later.
Articles 1–10