Rudolph, Marco

11 publications

WACV 2025 Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt

AAAI 2024 Q-SENN: Quantized Self-Explaining Neural Networks Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn

CVPRW 2024 SplatPose & Detect: Pose-Agnostic 3D Anomaly Detection Mathis Kruse, Marco Rudolph, Dominik Woiwode, Bodo Rosenhahn

WACV 2023 Asymmetric Student-Teacher Networks for Industrial Anomaly Detection Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt

WACV 2022 Fully Convolutional Cross-Scale-Flows for Image-Based Defect Detection Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt

NeurIPSW 2022 Take 5: Interpretable Image Classification with a Handful of Features Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn

NeurIPSW 2022 Take 5: Interpretable Image Classification with a Handful of Features Thomas Norrenbrock, Marco Rudolph, Bodo Rosenhahn

CVPR 2021 CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild Bastian Wandt, Marco Rudolph, Petrissa Zell, Helge Rhodin, Bodo Rosenhahn

ICCV 2021 Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt

WACV 2021 Same Same but DifferNet: Semi-Supervised Defect Detection with Normalizing Flows Marco Rudolph, Bastian Wandt, Bodo Rosenhahn

ICCVW 2019 Structuring Autoencoders Marco Rudolph, Bastian Wandt, Bodo Rosenhahn