39 citations · 84 across the 22 of their papers we have counts for
5 papers · 1 filter
HOReeNet: 3D-aware Hand-Object Grasping Reenactment
Changhwa Lee, Junuk Cha, Hansol Lee +3
We present HOReeNet, which tackles the novel task of manipulating images involving hands, objects, and their interactions. Especially, we are interested in transferring objects of…
Image-free Domain Generalization via CLIP for 3D Hand Pose Estimation
Seongyeong Lee, Hansoo Park, Dong Uk Kim +3
RGB-based 3D hand pose estimation has been successful for decades thanks to large-scale databases and deep learning. However, the hand pose estimation network does not operate well…
Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement
Junuk Cha, Muhammad Saqlain, GeonU Kim +2
Estimating 3D poses and shapes in the form of meshes from monocular RGB images is challenging. Obviously, it is more difficult than estimating 3D poses only in the form of skeleton…
Transformer-based Action recognition in hand-object interacting scenarios
Hoseong Cho, Seungryul Baek
This report describes the 2nd place solution to the ECCV 2022 Human Body, Hands, and Activities (HBHA) from Egocentric and Multi-view Cameras Challenge: Action Recognition. This ch…
Transformer-based Global 3D Hand Pose Estimation in Two Hands Manipulating Objects Scenarios
Hoseong Cho, Donguk Kim, Chanwoo Kim +2
This report describes our 1st place solution to ECCV 2022 challenge on Human Body, Hands, and Activities (HBHA) from Egocentric and Multi-view Cameras (hand pose estimation). In th…