Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Zeeshan Khan Suri"'
Autor:
Jaime Spencer, C. Stella Qian, Chris Russell, Simon Hadfield, Erich Graf, Wendy Adams, Andrew J. Schofield, James Elder, Richard Bowden, Heng Cong, Stefano Mattoccia, Matteo Poggi, Zeeshan Khan Suri, Yang Tang, Fabio Tosi, Hao Wang, Youmin Zhang, Yusheng Zhang, Chaoqiang Zhao
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW).
This paper summarizes the results of the first Monocular Depth Estimation Challenge (MDEC) organized at WACV2023. This challenge evaluated the progress of self-supervised monocular depth estimation on the challenging SYNS-Patches dataset. The challen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9948cd528bbc04b8047ace8e541f0fff
https://doi.org/10.1109/wacvw58289.2023.00069
https://doi.org/10.1109/wacvw58289.2023.00069
Autor:
Zeeshan Khan Suri
Publikováno v:
Image Analysis ISBN: 9783031314377
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d99b646bb901e58289c660d6d99c13c
https://doi.org/10.1007/978-3-031-31438-4_23
https://doi.org/10.1007/978-3-031-31438-4_23
Publikováno v:
CVPR
IEEE/CVF Conference on Computer Vision and Pattern Recognition
IEEE/CVF Conference on Computer Vision and Pattern Recognition
We present a convex mixed-integer programming formulation for non-rigid shape matching. To this end, we propose a novel shape deformation model based on an efficient low-dimensional discrete model, so that finding a globally optimal solution is tract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4abf03d07212c7a7fa73ded6f5b743b5