Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Li, Binghan"'
Although prior state-of-the-art (SOTA) deblurring networks achieve high metric scores on synthetic datasets, there are two challenges which prevent them from perceptual image deblurring. First, a deblurring model overtrained on synthetic datasets may
Externí odkaz:
http://arxiv.org/abs/2403.13163
Autor:
Nie, Mingxing, Xu, Zhengyu, Wang, Yu, You, Hengzhi, Luo, Lei, Li, Binghan, Mutahir, Sadaf, Gan, Wei, Yuan, Qunhui
Publikováno v:
In Journal of Colloid And Interface Science 15 April 2024 660:334-344
Depth prediction plays a key role in understanding a 3D scene. Several techniques have been developed throughout the years, among which Convolutional Neural Network has recently achieved state-of-the-art performance on estimating depth from a single
Externí odkaz:
http://arxiv.org/abs/2103.07570
Haze removal is an extremely challenging task, and object detection in the hazy environment has recently gained much attention due to the popularity of autonomous driving and traffic surveillance. In this work, the authors propose a multiple linear r
Externí odkaz:
http://arxiv.org/abs/2103.07065
Autor:
Li, Binghan1 (AUTHOR), Gu, Zhengsheng1 (AUTHOR), Wang, Weisen1 (AUTHOR), Du, Bingying1 (AUTHOR), Wu, Chenghao1 (AUTHOR), Li, Bin1 (AUTHOR), Wang, Tianren1 (AUTHOR), Yin, Ge1 (AUTHOR), Gao, Xin1 (AUTHOR), Chen, Jingjing1 (AUTHOR), Bi, Xiaoying1 (AUTHOR), Zhang, Hailing1 (AUTHOR) dr_zhl@sina.com, Sun, Xu1 (AUTHOR) Sunxu20232023@163.com
Publikováno v:
BMC Neurology. 3/4/2024, Vol. 24 Issue 1, p1-10. 10p.
Autor:
Gu, Zhengsheng, Sun, Xu, Wu, Chenghao, Li, Binghan, Chen, Jingjing, Wang, Weisen, Gao, Xin, Tan, Yuhao, Li, Bin, Yin, Ge, Xu, Yawen, Song, Chenrui, Du, Bingying, Bi, Xiaoying
Publikováno v:
In Journal of Stroke and Cerebrovascular Diseases October 2023 32(10)
Publikováno v:
Shanghai Jiaotong Daxue xuebao. Yixue ban, Vol 43, Iss 1, Pp 52-60 (2023)
Objective·To explore the influencing factors of bacterial infection in decompensated stage of hepatitis C cirrhosis, and establish a risk prediction model of nomogram.Methods·A total of 574 patients with decompensated hepatitis C cirrhosis were ret
Externí odkaz:
https://doaj.org/article/41c05be3dc3f4ad290d79106967ab5b2
Dark Channel Prior (DCP) is a widely recognized traditional dehazing algorithm. However, it may fail in bright region and the brightness of the restored image is darker than hazy image. In this paper, we propose an effective method to optimize DCP. W
Externí odkaz:
http://arxiv.org/abs/1904.11587
Autor:
Liu, Yuxiang, Zheng, Dejiang, Li, Binghan, Lyu, Yuchao, Wang, Xiaosheng, Liu, Xinchun, Li, Lu, Yu, Shitao, Liu, Xinmei, Yan, Zifeng
Publikováno v:
In Microporous and Mesoporous Materials June 2020 299
Publikováno v:
In Microelectronics Reliability January 2017 68:51-56