Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Minxian, Li"'
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
Background: Elemene injection could provide clinical benefit for the treatment of various cancers, but the clinical evidence is weak. Thus, its wide use in China has raised concerns about the appropriateness of its use.Methods: This was a multicenter
Externí odkaz:
https://doaj.org/article/03e179ae97d54983b2d9875996b60264
Autor:
Rui Hang, MinXian Li
Publikováno v:
Computer Vision – ACCV 2022 ISBN: 9783031263156
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1119a35a4c56f078a3b55fb5572256d
https://doi.org/10.1007/978-3-031-26316-3_11
https://doi.org/10.1007/978-3-031-26316-3_11
Publikováno v:
International Journal of Computer Vision. 129:1580-1595
Existing person re-identification (re-id) methods mostly exploit a large set of cross-camera identity labelled training data. This requires a tedious data collection and annotation process, leading to poor scalability in practical re-id applications.
Autor:
Minxian Li, Lei Wu, Wang Zihao, Hua-Min Qu, Chunhua Li, Lan Dong, Ningchuang Zhou, Haijing Wang
Publikováno v:
Radiation Detection Technology and Methods. 5:95-101
High Energy Photon Source (HEPS) has the characteristics of high energy and low emittance, which requires that the 1st natural frequency of the magnet support assembly should be better than 54 Hz and the moving resolution of girder should be less tha
Publikováno v:
Radiation Detection Technology and Methods. 5:1-7
The High Energy Photon Source (HEPS) is the fourth generation light source with high brilliance and low emittance. The lattice of the storage ring consists of five different dipoles with longitudinal gradients. The longitudinal-gradient dipoles (BLGs
Publikováno v:
Proceedings of the 2022 International Conference on Creative Industry and Knowledge Economy (CIKE 2022).
Publikováno v:
Neurocomputing. 275:1200-1207
Person re-identification (re-id) across cameras remains a very challenging problem, especially when the wide range searching exists in a multi-camera surveillance network. Current person re-identification methods focus on using visual model to search
Publikováno v:
ICCV Workshops
Existing person re-identification (re-id) methods rely mostly on a large set of inter-camera identity labelled training data, requiring a tedious data collection and annotation process therefore leading to poor scalability in practical re-id applicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f1906a9c296227c532356ea16cd334e
http://arxiv.org/abs/1908.10344
http://arxiv.org/abs/1908.10344
Most existing person re-identification (re-id) methods rely on supervised model learning on per-camera-pair manually labelled pairwise training data. This leads to poor scalability in a practical re-id deployment, due to the lack of exhaustive identi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af6ab8eb0b717aaa59728efe8039f882
http://arxiv.org/abs/1903.00535
http://arxiv.org/abs/1903.00535