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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
Yibo Yang
Wenxiao Wang
Binbin Lin
Deng Cai
Xiaofei He
Ronghua Liang
    3DPC
ArXivPDFHTML

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
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
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
Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks
Junming Zhang
Ming-Yuan Yu
Ram Vasudevan
Matthew Johnson-Roberson
3DPC
29
24
0
02 Jan 2021
A Rotation-Invariant Framework for Deep Point Cloud Analysis
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
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
1