General Rotation Invariance Learning for Point Clouds via Weight-Feature
Alignment

General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment

20 February 2023

Liang Xie

Papers citing "General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment"

5 / 5 papers shown

Title
RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning Kunming Su Qiuxia Wu Panpan Cai Xiaogang Zhu Xuequan Lu Zhiyong Wang Kun Hu 3DPC 27 2 0 31 Aug 2024
4D Panoptic Segmentation as Invariant and Equivariant Field Prediction Minghan Zhu Shizong Han H. Cai Shubhankar Borse M. G. Jadidi Fatih Porikli 3DPC 33 9 0 28 Mar 2023
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