4 papers · 1 filter
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…
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…
CFPNet: Improving Lightweight ToF Depth Completion via Cross-zone Feature Propagation
Laiyan Ding, Hualie Jiang, Rui Xu +1
Depth completion using lightweight time-of-flight (ToF) depth sensors is attractive due to their low cost. However, lightweight ToF sensors usually have a limited field of view (FO…
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…