4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
Pre-Training for 3D Hand Pose Estimation with Contrastive Learning on Large-Scale Hand Images in the Wild
Nie Lin, Takehiko Ohkawa, Mingfang Zhang +3
We present a contrastive learning framework based on in-the-wild hand images tailored for pre-training 3D hand pose estimators, dubbed HandCLR. Pre-training on large-scale images a…
cs.CV2024★ 1 cited
Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation
Ruicong Liu, Takehiko Ohkawa, Mingfang Zhang +1
The pursuit of accurate 3D hand pose estimation stands as a keystone for understanding human activity in the realm of egocentric vision. The majority of existing estimation methods…
cs.CV2023★ 4 cited
AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation
Takehiko Ohkawa, Kun He, Fadime Sener +3
We present AssemblyHands, a large-scale benchmark dataset with accurate 3D hand pose annotations, to facilitate the study of egocentric activities with challenging hand-object inte…