1 citations · 1 across the 5 of their papers we have counts for
5 papers
BarbieGait: An Identity-Consistent Synthetic Human Dataset with Versatile Cloth-Changing for Gait Recognition
Qingyuan Cai, Saihui Hou, Xuecai Hu +1
Gait recognition, as a reliable biometric technology, has seen rapid development in recent years while it faces significant challenges caused by diverse clothing styles in the real…
FastDDHPose: Towards Unified, Efficient, and Disentangled 3D Human Pose Estimation
Qingyuan Cai, Linxin Zhang, Xuecai Hu +2
Recent approaches for monocular 3D human pose estimation (3D HPE) have achieved leading performance by directly regressing 3D poses from 2D keypoint sequences. Despite the rapid pr…
POPDG: Popular 3D Dance Generation with PopDanceSet
Zhenye Luo, Min Ren, Xuecai Hu +2
Generating dances that are both lifelike and well-aligned with music continues to be a challenging task in the cross-modal domain. This paper introduces PopDanceSet, the first data…
Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser
Qingyuan Cai, Xuecai Hu, Saihui Hou +2
Recently, diffusion-based methods for monocular 3D human pose estimation have achieved state-of-the-art (SOTA) performance by directly regressing the 3D joint coordinates from the…
Towards More Efficient Depression Risk Recognition via Gait
Min Ren, Muchan Tao, Xuecai Hu +3
Depression, a highly prevalent mental illness, affects over 280 million individuals worldwide. Early detection and timely intervention are crucial for promoting remission, preventi…