David Sattlegger

Orcid: 0000-0002-8336-4672

According to our database1, David Sattlegger authored at least 8 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2023
Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022
Beyond Dents and Scratches: Logical Constraints in Unsupervised Anomaly Detection and Localization.
Int. J. Comput. Vis., 2022

The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization.
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.
Int. J. Comput. Vis., 2021

2020
Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings.
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.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

MVTec AD - A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017
Discretising the Herman-Kluk propagator.
Numerische Mathematik, 2017


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