32 citations · 44 across the 5 of their papers we have counts for
4 papers · 1 filter
Discriminative-Generative Synergy for Occlusion Robust 3D Human Mesh Recovery
Yang Liu, Zhiyong Zhang
3D human mesh recovery from monocular RGB images aims to estimate anatomically plausible 3D human models for downstream applications, but remains challenging under partial or sever…
AMF-MedIT: An Efficient Align-Modulation-Fusion Framework for Medical Image-Tabular Data
Congjing Yu, Jing Ye, Yang Liu +2
Multimodal medical analysis combining image and tabular data has gained increasing attention. However, effective fusion remains challenging due to cross-modal discrepancies in feat…
STGFormer: Spatio-Temporal GraphFormer for 3D Human Pose Estimation in Video
Yang Liu, Zhiyong Zhang
The current methods of video-based 3D human pose estimation have achieved significant progress.However, they still face pressing challenges, such as the underutilization of spatiot…
Deep learning for 3D human pose estimation and mesh recovery: A survey
Yang Liu, Changzhen Qiu, Zhiyong Zhang
3D human pose estimation and mesh recovery have attracted widespread research interest in many areas, such as computer vision, autonomous driving, and robotics. Deep learning on 3D…