6 papers
HumanSplatHMR: Closing the Loop Between Human Mesh Recovery and Gaussian Splatting Avatar
Yeheng Zong, Pou-Chun Kung, Yike Pan +4
Accurately recovering human pose and appearance from video is an essential component of scene reconstruction, with applications to motion capture, motion prediction, virtual realit…
TrackDeform3D: Markerless and Autonomous 3D Keypoint Tracking and Dataset Collection for Deformable Objects
Yeheng Zong, Yizhou Chen, Alexander Bowler +2
Structured 3D representations such as keypoints and meshes offer compact, expressive descriptions of deformable objects, jointly capturing geometric and topological information use…
SLIM-VDB: A Real-Time 3D Probabilistic Semantic Mapping Framework
Anja Sheppard, Parker Ewen, Joey Wilson +6
This paper introduces SLIM-VDB, a new lightweight semantic mapping system with probabilistic semantic fusion for closed-set or open-set dictionaries. Advances in data structures fr…
DEFT: Differentiable Branched Discrete Elastic Rods for Modeling Furcated DLOs in Real-Time
Yizhou Chen, Xiaoyue Wu, Felicia Sang +6
Autonomous wire-harness assembly requires precise, reliable manipulation of branched cables, whose deformation is difficult to predict. Models for single Deformable Linear Objects…
Differentiable Discrete Elastic Rods for Real-Time Modeling of Deformable Linear Objects
Yizhou Chen, Yiting Zhang, Zachary Brei +4
This paper addresses the task of modeling Deformable Linear Objects (DLOs), such as ropes and cables, during dynamic motion over long time horizons. This task presents significant…
You've Got to Feel It To Believe It: Multi-Modal Bayesian Inference for Semantic and Property Prediction
Parker Ewen, Hao Chen, Yuzhen Chen +4
Robots must be able to understand their surroundings to perform complex tasks in challenging environments and many of these complex tasks require estimates of physical properties s…