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cs.CV2025
Depth Anything in : Towards Scale Invariance in the Wild
Hualie Jiang, Ziyang Song, Zhiqiang Lou +2
Panoramic depth estimation provides a comprehensive solution for capturing complete environmental structural information, offering significant benefits for robotics and…
cs.CV2025
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…