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20242026
most citedDeep learning for 3D human pose estimation and mesh recovery: A survey

32 citations · 44 across the 5 of their papers we have counts for

collaborators

5 papers

cs.MM2026

High-Fidelity 3D Gaussian Human Reconstruction via Region-Aware Initialization and Geometric Priors

Yang Liu, Zhiyong Zhang

Real-time, high-fidelity 3D human reconstruction from RGB images is essential for interactive applications such as virtual reality and gaming, yet remains challenging due to the co…

cs.CV2026

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…

cs.CV2025★ 1 cited

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…

cs.CV2024★ 11 cited

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…

cs.CV2024★ 32 cited

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…