Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Guiju Ping"'
Publikováno v:
Computers & Graphics. 102:112-119
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d38fbfc5e7730e5f8d157848e393573b
https://doi.org/10.1016/j.cag.2022.01.001
https://doi.org/10.1016/j.cag.2022.01.001
Autor:
Han Wang, Wei Lin, Paul Manoranjan, Guobao Xiao, Kap Luk Chan, Xiaonan Wang, Guiju Ping, Haoge Jiang
This book constitutes the conference proceedings of the 10th Pacific Rim Symposium on Image and Video Technology, PSIVT 2022, held in Bintan Island, Indonesia, in November 2022.A total of 15 papers were carefully reviewed and selected from 18 submiss
Publikováno v:
ICARCV
This study aims to propose the first unsupervised deep learning based framework to detect primitive shapes in unorganized point clouds. The benefits of the proposed model are as follows: first, modeling primitive shapes mathematically and making the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54a6d56bbac1a1420071724ed9e396ec
https://doi.org/10.1109/icarcv50220.2020.9305494
https://doi.org/10.1109/icarcv50220.2020.9305494
Autor:
Han Wang, Guiju Ping
Publikováno v:
CIS/RAM
3D reconstruction is a field of computer vision. The last decade has seen great interest in multi-images 3D reconstruction, and proposed some classic algorithms such as SFM(surface from motion)[1]. But 3D reconstruction based on a single image is a l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a586033f0b8a761f6fa43d1b8eae16b
https://doi.org/10.1109/cis-ram47153.2019.9095839
https://doi.org/10.1109/cis-ram47153.2019.9095839
Publikováno v:
ISCAS
We propose a convolutional three-stream network architecture for driver fatigue detection from infrared videos that are available both in the daytime and in the night time. Specifically, the convolutional three-stream network architecture incorporate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ebe32b788e6ca5865a0d7577b8a4b8e
https://doi.org/10.1109/iscas.2019.8702447
https://doi.org/10.1109/iscas.2019.8702447