David Brüggemann

23 papers A* 4A 3Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Condition-Invariant Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Christos Sakaridis, David Brüggemann, Fisher Yu, Luc Van Gool
2025	A*	`conf`	GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control. CVPR 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
2024	J	`jnl`	GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control. CoRR 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
2024	J	`jnl`	MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty. CoRR Tim Brödermann, David Brüggemann, Christos Sakaridis, Kevin Ta, Odysseas Liagouris, Jason Corkill, Luc Van Gool
2024	—	`conf`	MUSES: The Multi-sensor Semantic Perception Dataset for Driving Under Uncertainty. ECCV (59) Tim Brödermann, David Brüggemann, Christos Sakaridis, Kevin Ta, Odysseas Liagouris, Jason Corkill, Luc Van Gool
2024	—	`conf`	Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar. SIGGRAPH (Conference Paper Track) David Borts, Erich Liang, Tim Broedermann, Andrea Ramazzina, Stefanie Walz, Edoardo Palladin, Jipeng Sun, David Brüggemann, Christos Sakaridis, Luc Van Gool, Mario Bijelic, Felix Heide
2024	J	`jnl`	Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar. CoRR David Borts, Erich Liang, Tim Brödermann, Andrea Ramazzina, Stefanie Walz, Edoardo Palladin, Jipeng Sun, David Brüggemann, Christos Sakaridis, Luc Van Gool, Mario Bijelic, Felix Heide
2023	A	`conf`	Composite Learning for Robust and Effective Dense Predictions. WACV Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool
2023	J	`jnl`	Condition-Invariant Semantic Segmentation. CoRR Christos Sakaridis, David Brüggemann, Fisher Yu, Luc Van Gool
2023	A*	`conf`	Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation. ICCV David Brüggemann, Christos Sakaridis, Tim Brödermann, Luc Van Gool
2023	J	`jnl`	Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation. CoRR David Brüggemann, Christos Sakaridis, Tim Brödermann, Luc Van Gool
2023	A*	`conf`	L2E: Lasers to Events for 6-DoF Extrinsic Calibration of Lidars and Event Cameras. ICRA Kevin Ta, David Brüggemann, Tim Brödermann, Christos Sakaridis, Luc Van Gool
2023	A	`conf`	Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions. WACV David Brüggemann, Christos Sakaridis, Prune Truong, Luc Van Gool
2023	—	`—`	Variable Tasks and Domains in Dense Prediction. David Brüggemann
2022	J	`jnl`	Composite Learning for Robust and Effective Dense Predictions. CoRR Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool
2022	J	`jnl`	Lasers to Events: Automatic Extrinsic Calibration of Lidars and Event Cameras. CoRR Kevin Ta, David Brüggemann, Tim Brödermann, Christos Sakaridis, Luc Van Gool
2022	J	`jnl`	Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions. CoRR David Brüggemann, Christos Sakaridis, Prune Truong, Luc Van Gool
2021	A*	`conf`	Exploring Relational Context for Multi-Task Dense Prediction. ICCV David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool
2021	J	`jnl`	Exploring Relational Context for Multi-Task Dense Prediction. CoRR David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool
2020	A	`conf`	Automated Search for Resource-Efficient Branched Multi-Task Networks. BMVC David Brüggemann, Menelaos Kanakis, Stamatios Georgoulis, Luc Van Gool
2020	J	`jnl`	Automated Search for Resource-Efficient Branched Multi-Task Networks. CoRR David Brüggemann, Menelaos Kanakis, Stamatios Georgoulis, Luc Van Gool
2020	—	`conf`	Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference. ECCV (20) Menelaos Kanakis, David Brüggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool
2020	J	`jnl`	Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference. CoRR Menelaos Kanakis, David Brüggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool