6 citations · 9 across the 6 of their papers we have counts for
6 papers
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…
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…
Self-Supervised Spatially Variant PSF Estimation for Aberration-Aware Depth-from-Defocus
Zhuofeng Wu, Yusuke Monno, Masatoshi Okutomi
In this paper, we address the task of aberration-aware depth-from-defocus (DfD), which takes account of spatially variant point spread functions (PSFs) of a real camera. To effecti…
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…
Polarimetric PatchMatch Multi-View Stereo
Jinyu Zhao, Jumpei Oishi, Yusuke Monno +1
PatchMatch Multi-View Stereo (PatchMatch MVS) is one of the popular MVS approaches, owing to its balanced accuracy and efficiency. In this paper, we propose Polarimetric PatchMatch…
EMR-MSF: Self-Supervised Recurrent Monocular Scene Flow Exploiting Ego-Motion Rigidity
Zijie Jiang, Masatoshi Okutomi
Self-supervised monocular scene flow estimation, aiming to understand both 3D structures and 3D motions from two temporally consecutive monocular images, has received increasing at…