3 papers
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
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…