From the 1 of 13 linked papers with an AI index.
13 papers
SiMDex: Mining Similar Egocentric Videos for Cross-Embodiment Dexterous Manipulation
Nie Lin, Takehiko Ohkawa, Sijin Chen +10
Recent years have witnessed an explosive trend of scaling ego-centric human videos for robot manipulation, yet it remains unclear which data actually benefits dexterous manipulatio…
Affordance-Guided Diffusion Prior for 3D Hand Reconstruction
Naru Suzuki, Takehiko Ohkawa, Tatsuro Banno +3
The paper presents a diffusion-based generative prior that refines 3D hand pose reconstruction by using affordance-aware textual descriptions of hand‑object interactions, improving…
YUBI: Yielding Universal Bidigital Interface for Bimanual Dexterous Manipulation at Scale
Takehiko Ohkawa, Jumpei Arima, Yuki Noguchi +16
We introduce Yielding Universal Bidigital Interface (YUBI), a finger-aligned gripper designed to enable intuitive, ergonomic, and scalable data collection for bimanual dexterous ma…
DF-Mamba: Deformable State Space Modeling for 3D Hand Pose Estimation in Interactions
Yifan Zhou, Takehiko Ohkawa, Guwenxiao Zhou +4
Modeling daily hand interactions often struggles with severe occlusions, such as when two hands overlap, which highlights the need for robust feature learning in 3D hand pose estim…
AssemblyHands-X: Modeling 3D Hand-Body Coordination for Understanding Bimanual Human Activities
Tatsuro Banno, Takehiko Ohkawa, Ruicong Liu +2
Bimanual human activities inherently involve coordinated movements of both hands and body. However, the impact of this coordination in activity understanding has not been systemati…
Generative Modeling of Shape-Dependent Self-Contact Human Poses
Takehiko Ohkawa, Jihyun Lee, Shunsuke Saito +7
One can hardly model self-contact of human poses without considering underlying body shapes. For example, the pose of rubbing a belly for a person with a low BMI leads to penetrati…