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20182021
most citedLearning Two-View Correspondences and Geometry Using Order-Aware Network

54 citations · 109 across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.CV2021

Learning to Match Features with Seeded Graph Matching Network

Hongkai Chen, Zixin Luo, Jiahui Zhang +5

Matching local features across images is a fundamental problem in computer vision. Targeting towards high accuracy and efficiency, we propose Seeded Graph Matching Network, a graph…

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.CV2019★ 2 cited

Self-Supervised Learning of Depth and Motion Under Photometric Inconsistency

Tianwei Shen, Lei Zhou, Zixin Luo +5

The self-supervised learning of depth and pose from monocular sequences provides an attractive solution by using the photometric consistency of nearby frames as it depends much les…

cs.CV2019★ 54 cited

Learning Two-View Correspondences and Geometry Using Order-Aware Network

Jiahui Zhang, Dawei Sun, Zixin Luo +6

Establishing correspondences between two images requires both local and global spatial context. Given putative correspondences of feature points in two views, in this paper, we pro…

cs.CV2019★ 6 cited

Efficient Semantic Scene Completion Network with Spatial Group Convolution

Jiahui Zhang, Hao Zhao, Anbang Yao +3

We introduce Spatial Group Convolution (SGC) for accelerating the computation of 3D dense prediction tasks. SGC is orthogonal to group convolution, which works on spatial dimension…

cs.CV2019★ 22 cited

ContextDesc: Local Descriptor Augmentation with Cross-Modality Context

Zixin Luo, Tianwei Shen, Lei Zhou +5

Most existing studies on learning local features focus on the patch-based descriptions of individual keypoints, whereas neglecting the spatial relations established from their keyp…

cs.CV2018

Reconstruction and Registration of Large-Scale Medical Scene Using Point Clouds Data from Different Modalities

Ke Wang, Han Song, Jiahui Zhang +2

Sensing the medical scenario can ensure the safety during the surgical operations. So, in this regard, a monitor platform which can obtain the accurate location information of the…