activity
20142023
most citedGeoDesc: Learning Local Descriptors by Integrating Geometry Constraints

201 citations · 540 across the 24 of their papers we have counts for

collaborators

24 papers

cs.CV2023★ 2 cited

NeILF++: Inter-Reflectable Light Fields for Geometry and Material Estimation

Jingyang Zhang, Yao Yao, Shiwei Li +5

We present a novel differentiable rendering framework for joint geometry, material, and lighting estimation from multi-view images. In contrast to previous methods which assume a s…

cs.CV2022★ 3 cited

Critical Regularizations for Neural Surface Reconstruction in the Wild

Jingyang Zhang, Yao Yao, Shiwei Li +4

Neural implicit functions have recently shown promising results on surface reconstructions from multiple views. However, current methods still suffer from excessive time complexity…

cs.CV2022★ 3 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.CV2020★ 1 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.CV2020★ 3 cited

Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation

Mingmin Zhen, Shiwei Li, Lei Zhou +4

In this paper, we introduce a novel network, called discriminative feature network (DFNet), to address the unsupervised video object segmentation task. To capture the inherent corr…