71 citations · 130 across the 6 of their papers we have counts for
8 papers
CHOICE: Coordinated Human-Object Interaction in Cluttered Environments for Pick-and-Place Actions
Jintao Lu, He Zhang, Yuting Ye +3
Animating human-scene interactions such as pick-and-place tasks in cluttered, complex layouts is a challenging task, with objects of a wide variation of geometries and articulation…
Active Learning of Neural Collision Handler for Complex 3D Mesh Deformations
Qingyang Tan, Zherong Pan, Breannan Smith +2
We present a robust learning algorithm to detect and handle collisions in 3D deforming meshes. Our collision detector is represented as a bilevel deep autoencoder with an attention…
FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integration
Yu Rong, Takaaki Shiratori, Hanbyul Joo
Most existing monocular 3D pose estimation approaches only focus on a single body part, neglecting the fact that the essential nuance of human motion is conveyed through a concert…
Driving-Signal Aware Full-Body Avatars
Timur Bagautdinov, Chenglei Wu, Tomas Simon +6
We present a learning-based method for building driving-signal aware full-body avatars. Our model is a conditional variational autoencoder that can be animated with incomplete driv…
InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image
Gyeongsik Moon, Shoou-i Yu, He Wen +2
Analysis of hand-hand interactions is a crucial step towards better understanding human behavior. However, most researches in 3D hand pose estimation have focused on the isolated s…
FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration
Yu Rong, Takaaki Shiratori, Hanbyul Joo
Although the essential nuance of human motion is often conveyed as a combination of body movements and hand gestures, the existing monocular motion capture approaches mostly focus…