2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2019
Pushing the Envelope for RGB-based Dense 3D Hand Pose Estimation via Neural Rendering
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
Estimating 3D hand meshes from single RGB images is challenging, due to intrinsic 2D-3D mapping ambiguities and limited training data. We adopt a compact parametric 3D hand model t…
cs.CV2016★ 2 cited
Real-time Online Action Detection Forests using Spatio-temporal Contexts
Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
Online action detection (OAD) is challenging since 1) robust yet computationally expensive features cannot be straightforwardly used due to the real-time processing requirements an…
cs.CV2016★ 2 cited
Kinematic-Layout-aware Random Forests for Depth-based Action Recognition
Seungryul Baek, Zhiyuan Shi, Masato Kawade +1
In this paper, we tackle the problem of 24 hours-monitoring patient actions in a ward such as "stretching an arm out of the bed", "falling out of the bed", where temporal movements…