| 2025 | WACV | Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery. | Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt |
| 2024 | AAAI | Q-SENN: Quantized Self-Explaining Neural Networks. | Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn |
| 2024 | CVPR | SplatPose & Detect: Pose-Agnostic 3D Anomaly Detection. | Mathis Kruse, Marco Rudolph, Dominik Woiwode, Bodo Rosenhahn |
| 2024 | ETFA | Integrating Domain Expertise into Dynamic Digital Models: A Methodology for Behaviour-Driven Production Modelling. | Ishita Garg, David Hoffmann, Arndt Lder, Marco Rudolph |
| 2023 | WACV | Asymmetric Student-Teacher Networks for Industrial Anomaly Detection. | Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt |
| 2022 | WACV | Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection. | Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt |
| 2021 | CVPR | CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild. | Bastian Wandt, Marco Rudolph, Petrissa Zell, Helge Rhodin, Bodo Rosenhahn |
| 2021 | ICCV | Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows. | Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt |
| 2021 | WACV | Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows. | Marco Rudolph, Bastian Wandt, Bodo Rosenhahn |