Paul Bergmann

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 15

Top Topics

Unsupervised Learning

Network Intrusion Detection

Student Achievement

Structural Similarity

Top Venues

VISIGRAPP (5: VISAPP)

Int. J. Comput. Vis.

Publications

Lars Heckler, Rebecca König, Paul Bergmann
Exploring the Importance of Pretrained Feature Extractors for Unsupervised Anomaly Detection and Localization. CVPR Workshops (2023)
Paul Bergmann, David Sattlegger
Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors. WACV (2023)
Paul Bergmann, Xin Jin, David Sattlegger, Carsten Steger
The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization. VISIGRAPP (5: VISAPP) (2022)
Paul Bergmann, Kilian Batzner, Michael Fauser, David Sattlegger, Carsten Steger
Beyond Dents and Scratches: Logical Constraints in Unsupervised Anomaly Detection and Localization. Int. J. Comput. Vis. 130 (4) (2022)
Paul Bergmann, David Sattlegger
Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors. CoRR (2022)
Paul Bergmann, Xin Jin, David Sattlegger, Carsten Steger
The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization. CoRR (2021)
Paul Bergmann, Kilian Batzner, Michael Fauser, David Sattlegger, Carsten Steger
The MVTec Anomaly Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection. Int. J. Comput. Vis. 129 (4) (2021)
Paul Bergmann, Michael Fauser, David Sattlegger, Carsten Steger
Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings. CVPR (2020)
Paul Bergmann, Sindy Löwe, Michael Fauser, David Sattlegger, Carsten Steger
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders. VISIGRAPP (5: VISAPP) (2019)
Paul Bergmann, Michael Fauser, David Sattlegger, Carsten Steger
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings. CoRR (2019)
Paul Bergmann, Michael Fauser, David Sattlegger, Carsten Steger
MVTec AD - A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection. CVPR (2019)
Paul Bergmann, Sindy Löwe, Michael Fauser, David Sattlegger, Carsten Steger
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders. CoRR (2018)
Paul Bergmann, Rui Wang, Daniel Cremers
Online Photometric Calibration of Auto Exposure Video for Realtime Visual Odometry and SLAM. IEEE Robotics Autom. Lett. 3 (2) (2018)
Paul Bergmann, Rui Wang, Daniel Cremers
Online Photometric Calibration for Auto Exposure Video for Realtime Visual Odometry and SLAM. CoRR (2017)
Bertram Drost, Markus Ulrich, Paul Bergmann, Philipp Härtinger, Carsten Steger
Introducing MVTec ITODD - A Dataset for 3D Object Recognition in Industry. ICCV Workshops (2017)