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20162023
most citedASLFeat: Learning Local Features of Accurate Shape and Localization

22 citations · 87 across the 12 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

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…

cs.CV2020

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★ 10 cited

Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency

Jiaxiang Shang, Tianwei Shen, Shiwei Li +4

Recent learning-based approaches, in which models are trained by single-view images have shown promising results for monocular 3D face reconstruction, but they suffer from the ill-…

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

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…