Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Fuchao Wu"'
Publikováno v:
PLoS ONE, Vol 12, Iss 9, p e0184865 (2017)
As a specific kind of non-Euclidean metric lies in projective space, Cayley-Klein metric has been recently introduced in metric learning to deal with the complex data distributions in computer vision tasks. In this paper, we extend the original Cayle
Externí odkaz:
https://doaj.org/article/6bcd7f7c59284a3bafd2a527fc62269c
Publikováno v:
PLoS ONE, Vol 10, Iss 7, p e0132354 (2015)
Line triangulation, a classical geometric problem in computer vision, is to determine the 3D coordinates of a line based on its 2D image projections from more than two views of cameras with known projection matrices. Compared to point features, line
Externí odkaz:
https://doaj.org/article/7a9d96ccf2a84e96afc1eb4c329206d3
Publikováno v:
2022 34th Chinese Control and Decision Conference (CCDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::834adb9e909b93912f2ac77d714e43b9
https://doi.org/10.1109/ccdc55256.2022.10034405
https://doi.org/10.1109/ccdc55256.2022.10034405
Publikováno v:
Plant cell reports. 41(9)
Our results confirmed that StATL2-like could interact with StCBFs and regulate plant growth. Meanwhile, StATL2-like acted as a negative regulator on low-temperature tolerance in plants. As important transcription factors for resisting many kinds of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afdbe8fe5a041e4d833e4c6fad81fab1
https://pubmed.ncbi.nlm.nih.gov/35732839
https://pubmed.ncbi.nlm.nih.gov/35732839
Complex mechatronic products include inter-disciplinary, inter-field, and inter-departmental requirement information. Aiming at the low digitization rate of existing product requirement information, a structured and digital product requirement model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93cdfdabd3bfa87b50a6803590b4ea9d
https://doi.org/10.21203/rs.3.rs-193068/v1
https://doi.org/10.21203/rs.3.rs-193068/v1
Publikováno v:
IEEE Transactions on Multimedia. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6375b730189c8af4e6fbc31275874e3e
https://doi.org/10.1109/tmm.2022.3154165
https://doi.org/10.1109/tmm.2022.3154165
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 19:1100-1111
Although traffic sign recognition has been studied for many years, most existing works are focused on the symbol-based traffic signs. This paper proposes a new data-driven system to recognize all categories of traffic signs, which include both symbol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d82d2a4e96a47a024901a7888c54844
https://doi.org/10.1109/tits.2017.2714691
https://doi.org/10.1109/tits.2017.2714691
Publikováno v:
CVPR
Despite the fact that Second Order Similarity (SOS) has been used with significant success in tasks such as graph matching and clustering, it has not been exploited for learning local descriptors. In this work, we explore the potential of \sos in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b8928e949da738c186d91b97ad5581c
https://doi.org/10.1109/cvpr.2019.01127
https://doi.org/10.1109/cvpr.2019.01127
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 38:2198-2211
This paper aims to build robust feature descriptors by exploring intensity order information in a patch. To this end, the local intensity order pattern (LIOP) and the overall intensity order pattern (OIOP) are proposed to effectively encode intensity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eacfe98a83cdd140fa9d0058ff676709
https://doi.org/10.1109/tpami.2015.2513396
https://doi.org/10.1109/tpami.2015.2513396
Publikováno v:
ITSC
This paper aims to deal with real-time traffic sign recognition, i.e. localizing what type of traffic sign appears in which area of an input image at a fast processing time. To achieve this goal, a two-module framework (detection module and classific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0eea176055138490ceb66ae0ba52a39f
https://doi.org/10.1109/tits.2015.2482461
https://doi.org/10.1109/tits.2015.2482461