Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Yingda Yin"'
Publikováno v:
Journal of Materials Chemistry A. 11:7690-7701
A high-precision CeO2/V2C sensor for NH3 capable of operating at room temperature is constructed via in situ polymerization and exhibits excellent response and stability, low detection limit, and fast response/recovery time.
Publikováno v:
He Wang
Estimating the 3DoF rotation from a single RGB image is an important yet challenging problem. Probabilistic rotation regression has raised more and more attention with the benefit of expressing uncertainty information along with the prediction. Thoug
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f03cef2b12a8d55d950567513b3e9c52
http://arxiv.org/abs/2303.01743
http://arxiv.org/abs/2303.01743
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Regressing rotations on SO(3) manifold using deep neural networks is an important yet unsolved problem. The gap between the Euclidean network output space and the non-Euclidean SO(3) manifold imposes a severe challenge for neural network learning in
Autor:
Qihang Fang, Yingda Yin, Qingnan Fan, Fei Xia, Siyan Dong, Sheng Wang, Jue Wang, Leonidas J. Guibas, Baoquan Chen
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200793
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd2dcad83c31da394fc595722e4b4938
https://doi.org/10.1007/978-3-031-20080-9_8
https://doi.org/10.1007/978-3-031-20080-9_8