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David Brüggemann
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2020 – today
- 2024
- [c9]Tim Brödermann, David Brüggemann, Christos Sakaridis, Kevin Ta, Odysseas Liagouris, Jason Corkill, Luc Van Gool:
MUSES: The Multi-sensor Semantic Perception Dataset for Driving Under Uncertainty. ECCV (59) 2024: 21-38 - [c8]David Borts
, Erich Liang
Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar. SIGGRAPH (Conference Paper Track) 2024: 130 - [i10]Tim Brödermann, David Brüggemann, Christos Sakaridis, Kevin Ta, Odysseas Liagouris, Jason Corkill, Luc Van Gool:
MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty. CoRR abs/2401.12761 (2024) - [i9]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:
Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar. CoRR abs/2405.04662 (2024) - 2023
- [b1]David Brüggemann:
Variable Tasks and Domains in Dense Prediction. ETH Zurich, Zürich, Switzerland, 2023 - [c7]David Brüggemann, Christos Sakaridis
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation. ICCV 2023: 11344-11353 - [c6]Kevin Ta
L2E: Lasers to Events for 6-DoF Extrinsic Calibration of Lidars and Event Cameras. ICRA 2023: 11425-11431 - [c5]Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool:
Composite Learning for Robust and Effective Dense Predictions. WACV 2023: 2298-2307 - [c4]David Brüggemann, Christos Sakaridis
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions. WACV 2023: 3173-3183 - [i8]David Brüggemann, Christos Sakaridis, Tim Brödermann, Luc Van Gool:
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation. CoRR abs/2303.05194 (2023) - [i7]Christos Sakaridis, David Brüggemann, Fisher Yu, Luc Van Gool:
Condition-Invariant Semantic Segmentation. CoRR abs/2305.17349 (2023) - 2022
- [i6]Kevin Ta, David Brüggemann, Tim Brödermann, Christos Sakaridis, Luc Van Gool:
Lasers to Events: Automatic Extrinsic Calibration of Lidars and Event Cameras. CoRR abs/2207.01009 (2022) - [i5]David Brüggemann, Christos Sakaridis, Prune Truong, Luc Van Gool:
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions. CoRR abs/2207.06825 (2022) - [i4]Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool:
Composite Learning for Robust and Effective Dense Predictions. CoRR abs/2210.07239 (2022) - 2021
- [c3]David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool:
Exploring Relational Context for Multi-Task Dense Prediction. ICCV 2021: 15849-15858 - [i3]David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool:
Exploring Relational Context for Multi-Task Dense Prediction. CoRR abs/2104.13874 (2021) - 2020
- [c2]David Brüggemann, Menelaos Kanakis, Stamatios Georgoulis, Luc Van Gool:
Automated Search for Resource-Efficient Branched Multi-Task Networks. BMVC 2020 - [c1]Menelaos Kanakis, David Brüggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool:
Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference. ECCV (20) 2020: 689-707 - [i2]Menelaos Kanakis, David Brüggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool:
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference. CoRR abs/2007.12540 (2020) - [i1]David Brüggemann, Menelaos Kanakis, Stamatios Georgoulis, Luc Van Gool:
Automated Search for Resource-Efficient Branched Multi-Task Networks. CoRR abs/2008.10292 (2020)
Coauthor Index
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