most citedDEFOM-Stereo: Depth Foundation Model Based Stereo Matching

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2025

Depth Anything in : Towards Scale Invariance in the Wild

Hualie Jiang, Ziyang Song, Zhiqiang Lou +2

Panoramic depth estimation captures the complete 360 scene geometry, being essential for robotics and AR/VR applications. While perspective depth models have achieved remar…

cs.CV2025★ 3 cited

DEFOM-Stereo: Depth Foundation Model Based Stereo Matching

Hualie Jiang, Zhiqiang Lou, Laiyan Ding +4

Stereo matching is a key technique for metric depth estimation in computer vision and robotics. Real-world challenges like occlusion and non-texture hinder accurate disparity estim…

cs.CV2024

RomniStereo: Recurrent Omnidirectional Stereo Matching

Hualie Jiang, Rui Xu, Minglang Tan +1

Omnidirectional stereo matching (OSM) is an essential and reliable means for depth sensing. However, following earlier works on conventional stereo matching, prior st…