Следене
David Bruggemann
David Bruggemann
Computer Vision Lab, ETH Zurich
Потвърден имейл адрес: vision.ee.ethz.ch
Заглавие
Позовавания
Позовавания
Година
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
352020
Automated search for resource-efficient branched multi-task networks
D Bruggemann, M Kanakis, S Georgoulis, L Van Gool
British Machine Vision Conference (BMVC), 2020
262020
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
172021
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
22023
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
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
arXiv preprint arXiv:2207.01009, 2022
2022
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–6