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Marco Rudolph
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Books and Theses
- 2024
- [b1]Marco Rudolph:
Industrial anomaly detection with normalizing flows. Gottfried Wilhelm Leibniz Universität, Hannover, Germany, 2024
Journal Articles
- 2024
- [j1]Jan Thieß Brockmann, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt:
The voraus-AD Dataset for Anomaly Detection in Robot Applications. IEEE Trans. Robotics 40: 438-451 (2024)
Conference and Workshop Papers
- 2024
- [c7]Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn:
Q-SENN: Quantized Self-Explaining Neural Networks. AAAI 2024: 21482-21491 - 2023
- [c6]Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt:
Asymmetric Student-Teacher Networks for Industrial Anomaly Detection. WACV 2023: 2591-2601 - 2022
- [c5]Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt:
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection. WACV 2022: 1829-1838 - 2021
- [c4]Bastian Wandt, Marco Rudolph, Petrissa Zell, Helge Rhodin, Bodo Rosenhahn:
CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild. CVPR 2021: 13294-13304 - [c3]Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt:
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows. ICCV 2021: 11179-11188 - [c2]Marco Rudolph, Bastian Wandt, Bodo Rosenhahn:
Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows. WACV 2021: 1906-1915 - 2019
- [c1]Marco Rudolph, Bastian Wandt, Bodo Rosenhahn:
Structuring Autoencoders. ICCV Workshops 2019: 615-623
Informal and Other Publications
- 2024
- [i11]Mathis Kruse, Marco Rudolph, Dominik Woiwode, Bodo Rosenhahn:
SplatPose & Detect: Pose-Agnostic 3D Anomaly Detection. CoRR abs/2404.06832 (2024) - 2023
- [i10]Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn:
Take 5: Interpretable Image Classification with a Handful of Features. CoRR abs/2303.13166 (2023) - [i9]Jan Thieß Brockmann, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt:
The voraus-AD Dataset for Anomaly Detection in Robot Applications. CoRR abs/2311.04765 (2023) - [i8]Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn:
Q-SENN: Quantized Self-Explaining Neural Networks. CoRR abs/2312.13839 (2023) - 2022
- [i7]Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt:
Asymmetric Student-Teacher Networks for Industrial Anomaly Detection. CoRR abs/2210.07829 (2022) - [i6]Lutz M. K. Krause, Emily Manderfeld, Patricia Gnutt, Louisa Vogler, Ann Wassick, Kailey Richard, Marco Rudolph, Kelli Z. Hunsucker, Geoffrey W. Swain, Bodo Rosenhahn, Axel Rosenhahn:
Semantic Segmentation for Fully Automated Macrofouling Analysis on Coatings after Field Exposure. CoRR abs/2211.11607 (2022) - 2021
- [i5]Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt:
Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows. CoRR abs/2107.13788 (2021) - [i4]Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt:
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection. CoRR abs/2110.02855 (2021) - 2020
- [i3]Marco Rudolph, Bastian Wandt, Bodo Rosenhahn:
Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows. CoRR abs/2008.12577 (2020) - [i2]Bastian Wandt, Marco Rudolph, Petrissa Zell, Helge Rhodin, Bodo Rosenhahn:
CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild. CoRR abs/2011.14679 (2020) - 2019
- [i1]Marco Rudolph, Bastian Wandt, Bodo Rosenhahn:
Structuring Autoencoders. CoRR abs/1908.02626 (2019)
Coauthor Index
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