120 citations · 140 across the 13 of their papers we have counts for
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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 captures the complete 360 scene geometry, being essential for robotics and AR/VR applications. While perspective depth models have achieved remar…
cs.CV2025
Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images
Laiyan Ding, Hualie Jiang, Jiwei Chen +1
Depth map enhancement using paired high-resolution RGB images offers a cost-effective solution for improving low-resolution depth data from lightweight ToF sensors. Nevertheless, n…
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…