Rethinking Rotation Invariance with Point Cloud Registration

Rethinking Rotation Invariance with Point Cloud Registration

31 December 2022

Jianhui Yu

Weidong (Tom) Cai

Papers citing "Rethinking Rotation Invariance with Point Cloud Registration"

7 / 7 papers shown

Title
Enhancing Robustness to Noise Corruption for Point Cloud Model via Spatial Sorting and Set-Mixing Aggregation Module Dingxin Zhang Jianhui Yu Tengfei Xue Chaoyi Zhang Dongnan Liu Weidong Cai 3DPC 34 0 0 15 Jul 2024
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas J. Guibas 3DPC 102 314 0 25 Apr 2021
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network Ran Cheng Ryan Razani E. Taghavi Enxu Li Bingbing Liu 3DPC 153 240 0 08 Feb 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 139 620 0 21 Jul 2020
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 107 108 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 222 14,047 0 02 Dec 2016
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 124 7,319 0 05 Jun 2015