Paul Bergmann

According to our database, Paul Bergmann authored at least 11 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors.

Paul Bergmann, David Sattlegger

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Exploring the Importance of Pretrained Feature Extractors for Unsupervised Anomaly Detection and Localization.

Lars Heckler, Rebecca König, Paul Bergmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Unsupervised Anomaly Detection and Localization for Visual Quality Inspection.

Paul Bergmann

PhD thesis, 2022

Beyond Dents and Scratches: Logical Constraints in Unsupervised Anomaly Detection and Localization.

Paul Bergmann, Kilian Batzner, Michael Fauser, David Sattlegger, Carsten Steger

Int. J. Comput. Vis., 2022

The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization.

Paul Bergmann, Xin Jin, David Sattlegger, Carsten Steger

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

2021

The MVTec Anomaly Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection.

Paul Bergmann, Kilian Batzner, Michael Fauser, David Sattlegger, Carsten Steger

Int. J. Comput. Vis., 2021

2020

Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings.

Paul Bergmann, Michael Fauser, David Sattlegger, Carsten Steger

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders.

Paul Bergmann, Sindy Löwe, Michael Fauser, David Sattlegger, Carsten Steger

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

MVTec AD - A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection.

Paul Bergmann, Michael Fauser, David Sattlegger, Carsten Steger

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Online Photometric Calibration of Auto Exposure Video for Realtime Visual Odometry and SLAM.

Paul Bergmann, Rui Wang, Daniel Cremers

IEEE Robotics Autom. Lett., 2018

2017

Introducing MVTec ITODD - A Dataset for 3D Object Recognition in Industry.

Bertram Drost, Markus Ulrich, Paul Bergmann, Philipp Härtinger, Carsten Steger

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017