activity
20132022
most citedLearn to Predict How Humans Manipulate Large-sized Objects from Interactive Motions

24 citations · 60 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 24 cited

Learn to Predict How Humans Manipulate Large-sized Objects from Interactive Motions

Weilin Wan, Lei Yang, Lingjie Liu +7

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,…

cs.CV2020★ 3 cited

Point2Skeleton: Learning Skeletal Representations from Point Clouds

Cheng Lin, Changjian Li, Yuan Liu +3

We introduce Point2Skeleton, an unsupervised method to learn skeletal representations from point clouds. Existing skeletonization methods are limited to tubular shapes and the stri…

cs.GR2013★ 1 cited

Continuous Collision Detection for Composite Quadric Models

Yi-King Choi, Wenping Wang, Bernard Mourrain +3

A composite quadric model (CQM) is an object modeled by piecewise linear or quadric patches. We study the continuous detection problem of a special type of CQM objects which are co…

cs.GR2013★ 8 cited

Medial Meshes for Volume Approximation

Feng Sun, Yi-King Choi, Yizhou Yu +1

Volume approximation is an important problem found in many applications of computer graphics, vision, and image processing. The problem is about computing an accurate and compact a…

cs.GR2013★ 24 cited

Computing a Compact Spline Representation of the Medial Axis Transform of a 2D Shape

Yanshu Zhu, Feng Sun, Yi-King Choi +2

We present a full pipeline for computing the medial axis transform of an arbitrary 2D shape. The instability of the medial axis transform is overcome by a pruning algorithm guided…