Schuster, René

8 publications

WACV 2025 AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy Katharina Bendig, René Schuster, Nicole Thiemer, Karen Joisten, Didier Stricker

WACV 2025 Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-Based Semantic Segmentation Niharika Hegde, Shishir Muralidhara, René Schuster, Didier Stricker

ECCV 2024 CLEO: Continual Learning of Evolving Ontologies Shishir Muralidhara, Saqib Bukhari, Georg Dr. Schneider, Didier Stricker, René Schuster

WACV 2023 Attribution-Aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation Dipam Goswami, René Schuster, Joost van de Weijer, Didier Stricker

WACV 2021 A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions Rene Schuster, Christian Unger, Didier Stricker

WACV 2021 SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation Rene Schuster, Oliver Wasenmuller, Christian Unger, Didier Stricker

CVPRW 2019 An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker

WACV 2018 SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences René Schuster, Oliver Wasenmüller, Georg Kuschk, Christian Bailer, Didier Stricker