TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis

26 November 2022

Papers citing "TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis"

6 / 6 papers shown

Title
Rethinking Rotation Invariance with Point Cloud Registration Jianhui Yu Chaoyi Zhang Weidong (Tom) Cai 3DPC 24 7 0 31 Dec 2022
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis Tiange Xiang Chaoyi Zhang Yang Song Jianhui Yu Weidong (Tom) Cai 3DPC 133 230 0 04 May 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas J. Guibas 3DPC 99 264 0 25 Apr 2021
Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks Junming Zhang Ming-Yuan Yu Ram Vasudevan Matthew Johnson-Roberson 3DPC 26 24 0 02 Jan 2021
A Rotation-Invariant Framework for Deep Point Cloud Analysis Xianzhi Li Ruihui Li Guangyong Chen Chi-Wing Fu Daniel Cohen-Or Pheng-Ann Heng 3DPC 107 93 0 16 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 210 13,886 0 02 Dec 2016