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pro vyhledávání: '"Guo, Sicen"'
Autor:
Wang, Jiayi, Mao, Yi-An, Ma, Xiaoyu, Guo, Sicen, Shao, Yuting, Lv, Xiao, Han, Wenting, Christopher, Mark, Zangwill, Linda M., Bi, Yanlong, Fan, Rui
Optic nerve head (ONH) detection has been a crucial area of study in ophthalmology for years. However, the significant discrepancy between fundus image datasets, each generated using a single type of fundus camera, poses challenges to the generalizab
Externí odkaz:
http://arxiv.org/abs/2405.09552
Despite the impressive performance achieved by data-fusion networks with duplex encoders for visual semantic segmentation, they become ineffective when spatial geometric data are not available. Implicitly infusing the spatial geometric prior knowledg
Externí odkaz:
http://arxiv.org/abs/2403.08215
Autor:
Guo, Sicen, Li, Jiahang, Feng, Yi, Zhou, Dacheng, Zhang, Denghuang, Chen, Chen, Su, Shuai, Zhu, Xingyi, Chen, Qijun, Fan, Rui
In the nascent domain of urban digital twins (UDT), the prospects for leveraging cutting-edge deep learning techniques are vast and compelling. Particularly within the specialized area of intelligent road inspection (IRI), a noticeable gap exists, un
Externí odkaz:
http://arxiv.org/abs/2304.08842
Road damage is an inconvenience and a safety hazard, severely affecting vehicle condition, driving comfort, and traffic safety. The traditional manual visual road inspection process is pricey, dangerous, exhausting, and cumbersome. Also, manual road
Externí odkaz:
http://arxiv.org/abs/2203.02355
Akademický článek
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Publikováno v:
In North American Journal of Economics and Finance July 2020 53
Autor:
Guo, Sicen, Li, Jiahang, Su, Shuai, Feng, Yi, Zhou, Dacheng, Chen, Chen, Zhang, Denghuang, Zhu, Xingyi, Chen, Qijun, Fan, Rui
It is seen that there is enormous potential to leverage powerful deep learning methods in the emerging field of urban digital twins. It is particularly in the area of intelligent road inspection where there is currently limited research and data avai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::931ea327d11899a76ce50e59bc964080
http://arxiv.org/abs/2304.08842
http://arxiv.org/abs/2304.08842
Publikováno v:
In Theoretical Computer Science 23 November 2015 607 Part 3:272-281
Publikováno v:
Arabian Journal of Geosciences. 16
Publikováno v:
Science progress. 104(1)
During the construction and assembling stages of shield tunnels, the ellipticity of segment assembly, and the angle between segments are the main reasons for joint leakage of shield tunnel. In this paper, taking Chengdu Metro shield tunnel as the res