Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Zhou Xinchi"'
Autor:
Zhou Xinchi, Jiang Shan, Zhu Siao, Xiang Shuangfei, Zhang Zhen, Xu Xiangyu, Xu Yuanyuan, Zhou Jian, Tan Suchong, Pan Zhengdao, Rao Xingyou, Wu Yutong, Wang Zhoulu, Liu Xiang, Zhang Yi, Zhou Yunlei
Publikováno v:
Nanotechnology Reviews, Vol 12, Iss 1, Pp 2103005-52 (2023)
Rechargeable aqueous zinc-ion batteries (AZIBs), a promising energy storage device in the large-scale energy storage market, have attracted extensive attention in recent years due to their high safety, low cost, environmental friendliness, and excell
Externí odkaz:
https://doaj.org/article/baaa59f9b7014e36b01029cc9472fd01
Recent years have witnessed the success of deep learning on the visual sound separation task. However, existing works follow similar settings where the training and testing datasets share the same musical instrument categories, which to some extent l
Externí odkaz:
http://arxiv.org/abs/2203.13535
Autor:
Jiang, Xinyu, Tang, Chaoyang, Zhou, Xinchi, Hou, Jiwei, Jiang, Shan, Meng, Leichao, Zhang, Yi
Publikováno v:
In iScience 15 November 2024 27(11)
Autor:
Xia, Chunxin, Cheng, Hemei, Hou, Xinwei, Zhang, Yu, Zhou, Xinchi, Yan, Qinglong, Cao, Shuting
Publikováno v:
In Advanced Sensor and Energy Materials December 2024 3(4)
Autor:
Zhou, Jian, Sun, Siwei, Zhou, Xinchi, Rao, Xingyou, Xu, Xiangyu, Zhang, Zhen, Pan, Zhengdao, Wang, Qin-Chao, Wang, Zhoulu, Wu, Yutong, Wagner, Wayko D., Guo, Xiaobei, Liu, Xiang, Wang, Chao, Lu, Chunhua, Zhang, Yi
Publikováno v:
In Chemical Engineering Journal 1 May 2024 487
Autor:
Zhang, Zhen, Zhou, jian, Zhou, Xinchi, Wang, Cong, Pan, Zhengdao, Xu, Xiangyu, Liu, Xiang, Wang, Zhoulu, Wu, Yutong, Jiang, Shan, Zhang, Yi
Publikováno v:
In Journal of Power Sources 30 March 2024 597
Autor:
Zhang, Hongwen, Tian, Yating, Zhou, Xinchi, Ouyang, Wanli, Liu, Yebin, Wang, Limin, Sun, Zhenan
Regression-based methods have recently shown promising results in reconstructing human meshes from monocular images. By directly mapping raw pixels to model parameters, these methods can produce parametric models in a feed-forward manner via neural n
Externí odkaz:
http://arxiv.org/abs/2103.16507
Autor:
Yang, Xianghui, Wang, Bairun, Chen, Kaige, Zhou, Xinchi, Yi, Shuai, Ouyang, Wanli, Zhou, Luping
Few-shot segmentation focuses on the generalization of models to segment unseen object instances with limited training samples. Although tremendous improvements have been achieved, existing methods are still constrained by two factors. (1) The inform
Externí odkaz:
http://arxiv.org/abs/2008.06226
In this paper, we propose a general and efficient pre-training paradigm, Montage pre-training, for object detection. Montage pre-training needs only the target detection dataset while taking only 1/4 computational resources compared to the widely ado
Externí odkaz:
http://arxiv.org/abs/2004.12178
Although person re-identification (ReID) has achieved significant improvement recently by enforcing part alignment, it is still a challenging task when it comes to distinguishing visually similar identities or identifying the occluded person. In thes
Externí odkaz:
http://arxiv.org/abs/2002.10979