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pro vyhledávání: '"Lin, Ruirui"'
Autor:
Lin, Ruirui, Anantrasirichai, Nantheera, Huang, Guoxi, Lin, Joanne, Sun, Qi, Malyugina, Alexandra, Bull, David R
Low-light videos often exhibit spatiotemporal incoherent noise, compromising visibility and performance in computer vision applications. One significant challenge in enhancing such content using deep learning is the scarcity of training data. This pa
Externí odkaz:
http://arxiv.org/abs/2407.03535
Distortions caused by low-light conditions are not only visually unpleasant but also degrade the performance of computer vision tasks. The restoration and enhancement have proven to be highly beneficial. However, there are only a limited number of en
Externí odkaz:
http://arxiv.org/abs/2403.02408
Low-light videos often exhibit spatiotemporal incoherent noise, leading to poor visibility and compromised performance across various computer vision applications. One significant challenge in enhancing such content using modern technologies is the s
Externí odkaz:
http://arxiv.org/abs/2402.01970
Autor:
Hao, Yinghong, Zhu, Wenzhi, Li, Jie, Lin, Ruirui, Huang, Wenting, Ain, Qurat Ul, Liu, Kaicai, Wei, Ning, Cheng, Delei, Wu, Yi, Lv, Weifu
Publikováno v:
In Journal of Controlled Release August 2024 372:155-167
Autor:
Li, Jun, Zhao, Yaqi, Lin, Ruirui, Zhang, Yaoyao, Hu, Kunjie, Li, Yan, Huang, Zhuoran, Peng, Shuying, Ding, Jianhua, Geng, Xuexia, Zhang, Haijun, Zhang, Xu
Publikováno v:
In Genomics December 2019 111(6):1239-1248
Autor:
Li, Jun, Zhang, Yaoyao, Hu, Kunjie, Zhao, Yaqi, Lin, Ruirui, Li, Yan, Huang, Zhuoran, Zhang, Xu, Geng, Xuexia, Ding, Jianhua
Publikováno v:
In International Journal of Biological Macromolecules 1 July 2018 113:592-600
Akademický článek
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