Minhong Wan — accepted AI-conference papers

2024

Frame-By-Frame Motion Retargeting With Self-Collision Avoidance From Diverse Human Demonstrations

Bosheng Zheng, Dingkun Liang, Qiulan Huang, Yun Liu, Pu Zhang, Minhong Wan +2

RA-L 2024

Human-robot motion retargeting is a complex nonlinear problem, due to heterogeneous kinematic configuration between human and robot. Recent efforts aim to tackle the generalizability of motion retargeting on diverse robots, yet challenges persist in handling unseen human motions with varying scales

Cited by 4 Source ↗Scholar ↗

2023

Query6DoF: Learning Sparse Queries as Implicit Shape Prior for Category-Level 6DoF Pose Estimation

Ruiqi Wang, Xinggang Wang, Te Li, Rong Yang, Minhong Wan, Wenyu Liu

ICCV 2023poster

Category-level 6DoF object pose estimation intends to estimate the rotation, translation, and size of unseen objects. Many previous works use point clouds as a pre-learned shape prior to overcome intra-category variability. The shape prior is deformed to reconstruct instances' point clouds in canoni…

Cited by 17 PDF ↗code ↗Scholar ↗