4 citations · 4 across the 1 of their papers we have counts for
3 papers
cs.CV2020★ 4 cited
Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis
Ruixuan Yu, Xin Wei, Federico Tombari +1
In this paper we propose a rotation-invariant deep network for point clouds analysis. Point-based deep networks are commonly designed to recognize roughly aligned 3D shapes based o…
cs.CV2019
HRGE-Net: Hierarchical Relational Graph Embedding Network for Multi-view 3D Shape Recognition
Xin Wei, Ruixuan Yu, Jian Sun
View-based approach that recognizes 3D shape through its projected 2D images achieved state-of-the-art performance for 3D shape recognition. One essential challenge for view-based…
cs.CV2018
Learning Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis
Ruixuan Yu, Jian Sun, Huibin Li
Designing a network on 3D surface for non-rigid shape analysis is a challenging task. In this work, we propose a novel spectral transform network on 3D surface to learn shape descr…