Brüggemann, David

7 publications

CVPR 2025 GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control Mariam Hassan, Sebastian Stapf, Ahmad Rahimi, Pedro M B Rezende, Yasaman Haghighi, David Brüggemann, Isinsu Katircioglu, Lin Zhang, Xiaoran Chen, Suman Saha, Marco Cannici, Elie Aljalbout, Botao Ye, Xi Wang, Aram Davtyan, Mathieu Salzmann, Davide Scaramuzza, Marc Pollefeys, Paolo Favaro, Alexandre Alahi

ECCV 2024 MUSES: The Multi-Sensor Semantic Perception Dataset for Driving Under Uncertainty Tim Broedermann, David Brüggemann, Christos Sakaridis, Kevin Ta, Odysseas Liagouris, Jason Corkill, Luc Van Gool

WACV 2023 Composite Learning for Robust and Effective Dense Predictions Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool

ICCV 2023 Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation David Brüggemann, Christos Sakaridis, Tim Broedermann, Luc Van Gool

WACV 2023 Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions David Brüggemann, Christos Sakaridis, Prune Truong, Luc Van Gool

ICCV 2021 Exploring Relational Context for Multi-Task Dense Prediction David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool

ECCV 2020 Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference Menelaos Kanakis, David Bruggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool