← Search

Yejun Shou

2 accepted papers

2025

Point Cloud Registration Based on Adaptively Fused Multimodal Features

RA-L 2025

Point cloud registration is a fundamental task in 3D vision, which plays an important role in various fields but faces challenges in geometrically weak or repetitive scenes. Traditional geometric-based methods struggle in these cases, while recent multimodal approaches improve robustness in weak sce

Cited by 4SourceScholar
2025

Unsupervised RGB-D Point Cloud Registration for Scenes with Low Overlap and Photometric Inconsistency

ICCV 2025poster

Point cloud registration is a fundamental task in 3D vision, playing a crucial role in various fields. With the rapid advancement of RGB-D sensors, unsupervised point cloud registration methods based on RGB-D sequences have demonstrated excellent performance. However, existing methods struggle in sc…

Cited by 0SourcePDFScholar