Zobrazeno 1 - 10
of 427
pro vyhledávání: '"Zhang, Jiyong"'
Autor:
Bao, Liuxin, Zhou, Xiaofei, Lu, Xiankai, Sun, Yaoqi, Yin, Haibing, Hu, Zhenghui, Zhang, Jiyong, Yan, Chenggang
Depth images and thermal images contain the spatial geometry information and surface temperature information, which can act as complementary information for the RGB modality. However, the quality of the depth and thermal images is often unreliable in
Externí odkaz:
http://arxiv.org/abs/2405.07655
Autor:
Zhang, Jiyong1 (AUTHOR) zhangjiyong@chinasperi.sgcc.com.cn, He, Bangzheng2 (AUTHOR) 2108160223007@stu.bucea.edu.cn, Lv, Jingguo2 (AUTHOR) lvjingguo@bucea.edu.cn, Zhao, Chunhui1 (AUTHOR) zhaochunhui@chinasperi.sgcc.com.cn, Yu, Gao1 (AUTHOR) yugao@chinasperi.sgcc.com.cn, Liu, Donghui1 (AUTHOR) liudonghui@chinasperi.sgcc.com.cn
Publikováno v:
Energies (19961073). Sep2024, Vol. 17 Issue 17, p4380. 15p.
Autor:
Zheng, Jinkai, Liu, Xinchen, Gu, Xiaoyan, Sun, Yaoqi, Gan, Chuang, Zhang, Jiyong, Liu, Wu, Yan, Chenggang
Existing studies for gait recognition are dominated by in-the-lab scenarios. Since people live in real-world senses, gait recognition in the wild is a more practical problem that has recently attracted the attention of the community of multimedia and
Externí odkaz:
http://arxiv.org/abs/2209.00355
Autor:
Zhu, Chenwei, Zhou, Xiaofei, Bao, Liuxin, Wang, Hongkui, Wang, Shuai, Zhu, Zunjie, Yan, Chenggang, Zhang, Jiyong
Publikováno v:
In Journal of Visual Communication and Image Representation October 2024 104
Publikováno v:
In Physica A: Statistical Mechanics and its Applications 1 November 2024 653
Publikováno v:
In Electric Power Systems Research July 2024 232
We design and experimentally evaluate a hybrid safe-by-construction collision avoidance controller for autonomous vehicles. The controller combines into a single architecture the respective advantages of an adaptive controller and a discrete safe con
Externí odkaz:
http://arxiv.org/abs/2103.15484
Autor:
Zheng, Jinkai, Liu, Xinchen, Yan, Chenggang, Zhang, Jiyong, Liu, Wu, Zhang, Xiaoping, Mei, Tao
Gait, i.e., the movement pattern of human limbs during locomotion, is a promising biometric for the identification of persons. Despite significant improvement in gait recognition with deep learning, existing studies still neglect a more practical but
Externí odkaz:
http://arxiv.org/abs/2102.04621
The COVID-19 pandemic has threatened global health. Many studies have applied deep convolutional neural networks (CNN) to recognize COVID-19 based on chest 3D computed tomography (CT). Recent works show that no model generalizes well across CT datase
Externí odkaz:
http://arxiv.org/abs/2101.10667
Autor:
He, Xin, Wang, Shihao, Chu, Xiaowen, Shi, Shaohuai, Tang, Jiangping, Liu, Xin, Yan, Chenggang, Zhang, Jiyong, Ding, Guiguang
The COVID-19 pandemic has spread globally for several months. Because its transmissibility and high pathogenicity seriously threaten people's lives, it is crucial to accurately and quickly detect COVID-19 infection. Many recent studies have shown tha
Externí odkaz:
http://arxiv.org/abs/2101.05442