1 code implementation • 15 May 2024 • Chao Fan, Saihui Hou, Junhao Liang, Chuanfu Shen, Jingzhe Ma, Dongyang Jin, Yongzhen Huang, Shiqi Yu
To this end, we first develop OpenGait, a flexible and efficient gait recognition platform.
1 code implementation • 26 Mar 2024 • Vivek Gopalakrishnan, Jingzhe Ma, Zhiyong Xie
Despite their black-box nature, deep learning models are extensively used in image-based drug discovery to extract feature vectors from single cells in microscopy images.
2 code implementations • 29 Feb 2024 • Dingqiang Ye, Chao Fan, Jingzhe Ma, Xiaoming Liu, Shiqi Yu
Gait recognition stands as one of the most pivotal remote identification technologies and progressively expands across research and industry communities.
1 code implementation • 22 Nov 2023 • Chao Fan, Jingzhe Ma, Dongyang Jin, Chuanfu Shen, Shiqi Yu
In this paper, we introduce a novel skeletal gait representation named skeleton map, together with SkeletonGait, a skeleton-based method to exploit structural information from human skeleton maps.
1 code implementation • 9 Mar 2023 • Jingzhe Ma, Dingqiang Ye, Chao Fan, Shiqi Yu
As a kind of biometrics, the gait information of pedestrians has attracted widespread attention from both industry and academia since it can be acquired from long distances without the cooperation of targets.
no code implementations • 14 Apr 2022 • Jingzhe Ma, Xiaoqing Zhang, Shiqi Yu
Although previous methods have achieved good results in synthesizing good-quality videos, they lose sight of individualized motion information from the source and target motions, which is significant for the realism of the motion in the generated video.
no code implementations • 4 Sep 2020 • Jingzhe Ma, W. Peter Maksym, G. Fabbiano, Martin Elvis, Thaisa Storchi-Bergmann, Margarita Karovska, Junfeng Wang, Andrea Travascio
The Seyfert nucleus and ionization cones transition to and are surrounded by a LINER cocoon, extending up to $\sim$ 250 pc in thickness.
Astrophysics of Galaxies
no code implementations • 17 Nov 2015 • Min Li, Sudeep Gaddam, Xiaolin Li, Yinan Zhao, Jingzhe Ma, Jian Ge
In this paper, we apply Deep Learning techniques to detect the broad absorption bump.