most citedKinematic-aware Hierarchical Attention Network for Human Pose Estimation in Videos

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2022★ 1 cited

Kinematic-aware Hierarchical Attention Network for Human Pose Estimation in Videos

Kyung-Min Jin, Byoung-Sung Lim, Gun-Hee Lee +2

Previous video-based human pose estimation methods have shown promising results by leveraging aggregated features of consecutive frames. However, most approaches compromise accurac…

cs.CV2022

OTPose: Occlusion-Aware Transformer for Pose Estimation in Sparsely-Labeled Videos

Kyung-Min Jin, Gun-Hee Lee, Seong-Whan Lee

Although many approaches for multi-human pose estimation in videos have shown profound results, they require densely annotated data which entails excessive man labor. Furthermore,…