2 citations · 2 across the 4 of their papers we have counts for
4 papers
Parsing is All You Need for Accurate Gait Recognition in the Wild
Jinkai Zheng, Xinchen Liu, Shuai Wang +3
Binary silhouettes and keypoint-based skeletons have dominated human gait recognition studies for decades since they are easy to extract from video frames. Despite their success in…
REMOT: A Region-to-Whole Framework for Realistic Human Motion Transfer
Quanwei Yang, Xinchen Liu, Wu Liu +4
Human Video Motion Transfer (HVMT) aims to, given an image of a source person, generate his/her video that imitates the motion of the driving person. Existing methods for HVMT main…
MAPLE: Masked Pseudo-Labeling autoEncoder for Semi-supervised Point Cloud Action Recognition
Xiaodong Chen, Wu Liu, Xinchen Liu +3
Recognizing human actions from point cloud videos has attracted tremendous attention from both academia and industry due to its wide applications like automatic driving, robotics,…
Gait Recognition in the Wild with Multi-hop Temporal Switch
Jinkai Zheng, Xinchen Liu, Xiaoyan Gu +5
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 h…