Haixin Yu — accepted AI-conference papers

2025

Depth Restoration of Hand-Held Transparent Objects for Human-to-Robot Handover

Ran Yu, Haixin Yu, Shoujie Li, Yan Huang, Ziwu Song, Wenbo Ding

ICRA 2025

Transparent objects are common in daily life, while their optical properties pose challenges for RGB-D cameras to capture accurate depth information. This issue is further amplified when these objects are hand-held, as hand occlusions further complicate depth estimation. For assistant robots, howeve

Cited by 3 Source ↗Scholar ↗

2023

TGF-Net: Sim2Real Transparent Object 6D Pose Estimation Based on Geometric Fusion

Haixin Yu, Shoujie Li, Houde Liu, Chongkun Xia, Wenbo Ding, Bin Liang

RA-L 2023

Transparent objects are a common part of daily life, but their unique optical properties make estimating their 6D pose a challenging task. In this letter, we propose TGF-Net, a monocular instance-level 6D pose estimation method for transparent objects based on geometric fusion. TGF-Net learns the ed

Cited by 20 Source ↗Scholar ↗