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  1. Paul BERGMANN | Cited by 2,536 | of Technische Universität München, München (TUM) | Read 15 publications | Contact Paul BERGMANN

  2. ‪Deep Learning Engineer at Apple‬ - ‪‪Cited by 3,101‬‬ - ‪Computer Vision‬ - ‪Anomaly Detection‬ - ‪Deep Learning‬

  3. 6 nov 2019 · Paul Bergmann, Michael Fauser, David Sattlegger, Carsten Steger. We introduce a powerful student-teacher framework for the challenging problem of unsupervised anomaly detection and pixel-precise anomaly segmentation in high-resolution images.

    • Paul Bergmann, Michael Fauser, David Sattlegger, Carsten Steger
    • arXiv:1911.02357 [cs.CV]
    • 2019
    • Accepted to CVPR 2020
  4. 5 lug 2018 · Paul Bergmann, Sindy Löwe, Michael Fauser, David Sattlegger, Carsten Steger. Convolutional autoencoders have emerged as popular methods for unsupervised defect segmentation on image data. Most commonly, this task is performed by thresholding a pixel-wise reconstruction error based on an ℓp distance.

    • Paul Bergmann, Sindy Löwe, Michael Fauser, David Sattlegger, Carsten Steger
    • 2018
  5. Paul Bergmann, Kilian Batzner, Michael Fauser, David Sattlegger, Carsten Steger: Beyond Dents and Scratches: Logical Constraints in Unsupervised Anomaly Detection and Localization; in: International Journal of Computer Vision 130(4):947-969, 2022.

  6. Semantic Scholar profile for Paul Bergmann, with 511 highly influential citations and 21 scientific research papers.

  7. Paul Bergmann, David Sattlegger: Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors. WACV 2023: 2612-2622. 2022. [b1] Paul Bergmann: Unsupervised Anomaly Detection and Localization for Visual Quality Inspection. Technical University of Munich, Germany, 2022. [j3]

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