most citedVRNet: Learning the Rectified Virtual Corresponding Points for 3D Point Cloud Registration

67 citations · 96 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 17 cited

Learning a Task-specific Descriptor for Robust Matching of 3D Point Clouds

Zhiyuan Zhang, Yuchao Dai, Bin Fan +2

Existing learning-based point feature descriptors are usually task-agnostic, which pursue describing the individual 3D point clouds as accurate as possible. However, the matching t…

cs.CV2022★ 4 cited

Searching Dense Point Correspondences via Permutation Matrix Learning

Zhiyuan Zhang, Jiadai Sun, Yuchao Dai +2

Although 3D point cloud data has received widespread attentions as a general form of 3D signal expression, applying point clouds to the task of dense correspondence estimation betw…

cs.CV2022

Context-Aware Video Reconstruction for Rolling Shutter Cameras

Bin Fan, Yuchao Dai, Zhiyuan Zhang +2

With the ubiquity of rolling shutter (RS) cameras, it is becoming increasingly attractive to recover the latent global shutter (GS) video from two consecutive RS frames, which also…

cs.CV2022★ 67 cited

VRNet: Learning the Rectified Virtual Corresponding Points for 3D Point Cloud Registration

Zhiyuan Zhang, Jiadai Sun, Yuchao Dai +2

3D point cloud registration is fragile to outliers, which are labeled as the points without corresponding points. To handle this problem, a widely adopted strategy is to estimate t…

cs.CV2022★ 8 cited

A Representation Separation Perspective to Correspondences-free Unsupervised 3D Point Cloud Registration

Zhiyuan Zhang, Jiadai Sun, Yuchao Dai +3

3D point cloud registration in remote sensing field has been greatly advanced by deep learning based methods, where the rigid transformation is either directly regressed from the t…