activity
20182022
most citedVisibility-aware Multi-view Stereo Network

53 citations · 118 across the 8 of their papers we have counts for

collaborators

13 papers

cs.CV20223 cited

NeILF: Neural Incident Light Field for Physically-based Material Estimation

Yao Yao, Jingyang Zhang, Jingbo Liu +5

We present a differentiable rendering framework for material and lighting estimation from multi-view images and a reconstructed geometry. In the framework, we represent scene light…

cs.CV2021

Learning Signed Distance Field for Multi-view Surface Reconstruction

Jingyang Zhang, Yao Yao, Long Quan

Recent works on implicit neural representations have shown promising results for multi-view surface reconstruction. However, most approaches are limited to relatively simple geomet…

cs.CV202053 cited

Visibility-aware Multi-view Stereo Network

Jingyang Zhang, Yao Yao, Shiwei Li +2

Learning-based multi-view stereo (MVS) methods have demonstrated promising results. However, very few existing networks explicitly take the pixel-wise visibility into consideration…

cs.CV20201 cited

Learning Stereo Matchability in Disparity Regression Networks

Jingyang Zhang, Yao Yao, Zixin Luo +4

Learning-based stereo matching has recently achieved promising results, yet still suffers difficulties in establishing reliable matches in weakly matchable regions that are texture…

cs.CV202022 cited

ASLFeat: Learning Local Features of Accurate Shape and Localization

Zixin Luo, Lei Zhou, Xuyang Bai +6

This work focuses on mitigating two limitations in the joint learning of local feature detectors and descriptors. First, the ability to estimate the local shape (scale, orientation…

cs.CV2020

KFNet: Learning Temporal Camera Relocalization using Kalman Filtering

Lei Zhou, Zixin Luo, Tianwei Shen +5

Temporal camera relocalization estimates the pose with respect to each video frame in sequence, as opposed to one-shot relocalization which focuses on a still image. Even though th…