| Reparameterizing convolutions for incremental multi-task learning without task interference M Kanakis, D Bruggemann, S Saha, S Georgoulis, A Obukhov, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 57 | 2020 |
| Automated search for resource-efficient branched multi-task networks D Bruggemann, M Kanakis, S Georgoulis, L Van Gool British Machine Vision Conference (BMVC), 2020 | 45 | 2020 |
| Exploring relational context for multi-task dense prediction D Brüggemann, M Kanakis, A Obukhov, S Georgoulis, L Van Gool Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 42 | 2021 |
| Refign: Align and refine for adaptation of semantic segmentation to adverse conditions D Brüggemann, C Sakaridis, P Truong, L Van Gool Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 21 | 2023 |
| L2E: Lasers to Events for 6-DoF Extrinsic Calibration of Lidars and Event Cameras K Ta, D Bruggemann, T Brödermann, C Sakaridis, L Van Gool 2023 IEEE International Conference on Robotics and Automation (ICRA), 11425 …, 2023 | 5* | 2023 |
| Composite Learning for Robust and Effective Dense Predictions M Kanakis, TE Huang, D Brüggemann, F Yu, L Van Gool Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 2 | 2023 |
| Condition-Invariant Semantic Segmentation C Sakaridis, D Bruggemann, F Yu, L Van Gool arXiv preprint arXiv:2305.17349, 2023 | 1 | 2023 |
| Contrastive model adaptation for cross-condition robustness in semantic segmentation D Brüggemann, C Sakaridis, T Brödermann, L Van Gool Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
Luc Van Goolprofessor computer vision ETH Zurich,KU Leuven,INSAIT,Head Toyota Lab TRACE @KULÐVerified email at ethz.ch
