Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zhenzhang Ye"'
Publikováno v:
International Journal of Computer Vision. 131:346-362
Many problems in imaging and low-level vision can be formulated as nonconvex variational problems. A promising class of approaches to tackle such problems are convex relaxation methods, which consider a lifting of the energy functional to a higher-di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f82c442ac10b4904e23945c183ea61b
https://doi.org/10.1007/s11263-022-01704-7
https://doi.org/10.1007/s11263-022-01704-7
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030926588
43rd DAGM German Conference on Pattern Recognition
43rd DAGM German Conference on Pattern Recognition, 2021, Bonn (online event), Germany
43rd DAGM German Conference on Pattern Recognition
43rd DAGM German Conference on Pattern Recognition, 2021, Bonn (online event), Germany
International audience; Functional lifting methods are a promising approach to determine optimal or near-optimal solutions to difficult nonconvex variational problems. Yet, they come with increased memory demands, limiting their practicability. To ov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8487d1e8599a708e009ee9088f506763
https://doi.org/10.1007/978-3-030-92659-5_1
https://doi.org/10.1007/978-3-030-92659-5_1
Publikováno v:
The IEEE International Conference on Computer Vision (ICCV 2019)
The IEEE International Conference on Computer Vision (ICCV 2019), Oct 2019, Seoul, South Korea. pp.8539-8548, ⟨10.1109/ICCV.2019.00863⟩
ICCV
The IEEE International Conference on Computer Vision (ICCV 2019), Oct 2019, Seoul, South Korea. pp.8539-8548, ⟨10.1109/ICCV.2019.00863⟩
ICCV
Photometric stereo (PS) techniques nowadays remain constrained to an ideal laboratory setup where modeling and calibration of lighting is amenable. To eliminate such restrictions, we propose an efficient principled variational approach to uncalibrate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c0433bd8444891807624756af313712
http://arxiv.org/abs/1904.03942
http://arxiv.org/abs/1904.03942
Publikováno v:
ITSC
Dealing with the unknown future behavior of other traffic participants is one of the main challenges when generating safe trajectories for autonomous vehicles. When the ego vehicle (i.e., the vehicle to be controlled) follows a given trajectory, an e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60d66701b16688512c9a2f211080c151
https://mediatum.ub.tum.de/1379664
https://mediatum.ub.tum.de/1379664
Autor:
Ye, Zhenzhang1 (AUTHOR) zhenzhang.ye@tum.de, Haefner, Bjoern1 (AUTHOR), Quéau, Yvain2 (AUTHOR), Möllenhoff, Thomas3 (AUTHOR), Cremers, Daniel1 (AUTHOR)
Publikováno v:
International Journal of Computer Vision. Jan2023, Vol. 131 Issue 1, p346-362. 17p.
This book constitutes the refereed proceedings of the 43rd DAGM German Conference on Pattern Recognition, DAGM GCPR 2021, which was held during September 28 – October 1, 2021. The conference was planned to take place in Bonn, Germany, but changed t