activity
20182026
most citedGeoDesc: Learning Local Descriptors by Integrating Geometry Constraints

201 citations · 555 across the 21 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CV2020★ 53 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.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

Stochastic Bundle Adjustment for Efficient and Scalable 3D Reconstruction

Lei Zhou, Zixin Luo, Mingmin Zhen +5

Current bundle adjustment solvers such as the Levenberg-Marquardt (LM) algorithm are limited by the bottleneck in solving the Reduced Camera System (RCS) whose dimension is proport…

cs.CV2020★ 22 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★ 3 cited

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…

cs.CV2020★ 27 cited

D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features

Xuyang Bai, Zixin Luo, Lei Zhou +3

A successful point cloud registration often lies on robust establishment of sparse matches through discriminative 3D local features. Despite the fast evolution of learning-based 3D…