David Brüggemann

According to our database, David Brüggemann authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

CoRR, 2024

Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar.

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

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

MUSES: The Multi-sensor Semantic Perception Dataset for Driving Under Uncertainty.

Tim Brödermann, David Brüggemann, Christos Sakaridis, Kevin Ta, Odysseas Liagouris, Jason Corkill, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Variable Tasks and Domains in Dense Prediction.

David Brüggemann

PhD thesis, 2023

Condition-Invariant Semantic Segmentation.

Christos Sakaridis, David Brüggemann, Fisher Yu, Luc Van Gool

CoRR, 2023

Composite Learning for Robust and Effective Dense Predictions.

Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions.

David Brüggemann, Christos Sakaridis, Prune Truong, Luc Van Gool

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

L2E: Lasers to Events for 6-DoF Extrinsic Calibration of Lidars and Event Cameras.

Kevin Ta, David Brüggemann, Tim Brödermann, Christos Sakaridis, Luc Van Gool

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation.

David Brüggemann, Christos Sakaridis, Tim Brödermann, Luc Van Gool

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Lasers to Events: Automatic Extrinsic Calibration of Lidars and Event Cameras.

Kevin Ta, David Brüggemann, Tim Brödermann, Christos Sakaridis, Luc Van Gool

CoRR, 2022

2021

Exploring Relational Context for Multi-Task Dense Prediction.

David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference.

Menelaos Kanakis, David Brüggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2020, 2020

Automated Search for Resource-Efficient Branched Multi-Task Networks.

David Brüggemann, Menelaos Kanakis, Stamatios Georgoulis, Luc Van Gool

Proceedings of the 31st British Machine Vision Conference 2020, 2020