6 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CV2024
VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection
Zihua Liu, Hiroki Sakuma, Masatoshi Okutomi
Monocular 3D object detection poses a significant challenge in 3D scene understanding due to its inherently ill-posed nature in monocular depth estimation. Existing methods heavily…
cs.CV2024★ 1 cited
CFDNet: A Generalizable Foggy Stereo Matching Network with Contrastive Feature Distillation
Zihua Liu, Yizhou Li, Masatoshi Okutomi
Stereo matching under foggy scenes remains a challenging task since the scattering effect degrades the visibility and results in less distinctive features for dense correspondence…
cs.CV2024★ 6 cited
Digging Into Normal Incorporated Stereo Matching
Zihua Liu, Songyan Zhang, Zhicheng Wang +1
Despite the remarkable progress facilitated by learning-based stereo-matching algorithms, disparity estimation in low-texture, occluded, and bordered regions still remains a bottle…