Alan H. F. Lam — accepted AI-conference papers

2025

End-to-End Underwater Multi-View Stereo for Dense Scene Reconstruction

Guidong Yang, Junjie Wen, Benyun Zhao, Qingxiang Li, Yijun Huang, Lei Lei +3

ICRA 2025

Recent advancements in learning-based multi-view stereo (MVS) have demonstrated significant improvements over traditional counterpart, primarily due to the extensive availability of multi-view training images with ground-truth metric depths in the terrestrial in-air domain. However, underwater multi

Cited by 3 Source ↗code ↗Scholar ↗

2025

Multi-View Stereo with Geometric Encoding for Dense Scene Reconstruction

Guidong Yang, Rui Cao, Junjie Wen, Benyun Zhao, Qingxiang Li, Yijun Huang +5

ICRA 2025

Multi-view stereo (MVS) implicitly encodes photometric and geometric cues into the cost volume for multi-view correspondence matching, transferring insufficient geometric cues essential to depth estimation and reconstruction. This paper proposes GE-MVS, a novel multi-view stereo network with geometr

Cited by 0 Source ↗code ↗Scholar ↗