Yi-King Choi — accepted AI-conference papers

2022

Learn to Predict How Humans Manipulate Large-Sized Objects From Interactive Motions

Weilin Wan, Lei Yang, Lingjie Liu, Zhuoying Zhang, Ruixing Jia, Yi-King Choi +4

RA-L 2022

Understanding human intentions during interactions has been a long-lasting theme, that has applications in human-robot interaction, virtual reality and surveillance. In this study, we focus on full-body human interactions with large-sized daily objects and aim to predict the future states of objects

Cited by 35 Source ↗Scholar ↗

2021

Point2Skeleton: Learning Skeletal Representations from Point Clouds

Cheng Lin, Changjian Li, Yuan Liu, Nenglun Chen, Yi-King Choi, Wenping Wang

CVPR 2021poster

We introduce Point2Skeleton, an unsupervised method to learn skeletal representations from point clouds. Existing skeletonization methods are limited to tubular shapes and the stringent requirement of watertight input, while our method aims to produce more generalized skeletal representations for co…

Cited by 70 PDF ↗Scholar ↗