activity
20222026
most citedHSTFormer: Hierarchical Spatial-Temporal Transformers for 3D Human Pose Estimation

15 citations · 19 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2026

ShapeGaussian: High-Fidelity 4D Human Reconstruction in Monocular Videos via Vision Priors

Zhenxiao Liang, Ning Zhang, Youbao Tang +4

We introduce ShapeGaussian, a high-fidelity, template-free method for 4D human reconstruction from casual monocular videos. Generic reconstruction methods lacking robust vision pri…

cs.CV2024★ 1 cited

DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction

Weiyi Lv, Yuhang Huang, Ning Zhang +3

In Multiple Object Tracking, objects often exhibit non-linear motion of acceleration and deceleration, with irregular direction changes. Tacking-by-detection (TBD) trackers with Ka…

cs.CV2023★ 15 cited

HSTFormer: Hierarchical Spatial-Temporal Transformers for 3D Human Pose Estimation

Xiaoye Qian, Youbao Tang, Ning Zhang +4

Transformer-based approaches have been successfully proposed for 3D human pose estimation (HPE) from 2D pose sequence and achieved state-of-the-art (SOTA) performance. However, cur…

cs.CV2022

Prior-enhanced Temporal Action Localization using Subject-aware Spatial Attention

Yifan Liu, Youbao Tang, Ning Zhang +2

Temporal action localization (TAL) aims to detect the boundary and identify the class of each action instance in a long untrimmed video. Current approaches treat video frames homog…

cs.CV2022★ 1 cited

PieTrack: An MOT solution based on synthetic data training and self-supervised domain adaptation

Yirui Wang, Shenghua He, Youbao Tang +8

In order to cope with the increasing demand for labeling data and privacy issues with human detection, synthetic data has been used as a substitute and showing promising results in…