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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

2 January 2021
Junming Zhang
Ming-Yuan Yu
Ram Vasudevan
Matthew Johnson-Roberson
    3DPC
ArXivPDFHTML

Papers citing "Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks"

12 / 12 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
0
0
31 Aug 2024
Local-consistent Transformation Learning for Rotation-invariant Point
  Cloud Analysis
Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis
Yiyang Chen
Lunhao Duan
Shanshan Zhao
Changxing Ding
Dacheng Tao
16
1
0
17 Mar 2024
MaskLRF: Self-supervised Pretraining via Masked Autoencoding of Local
  Reference Frames for Rotation-invariant 3D Point Set Analysis
MaskLRF: Self-supervised Pretraining via Masked Autoencoding of Local Reference Frames for Rotation-invariant 3D Point Set Analysis
Takahiko Furuya
3DPC
20
2
0
01 Mar 2024
Self-supervised Learning of Rotation-invariant 3D Point Set Features
  using Transformer and its Self-distillation
Self-supervised Learning of Rotation-invariant 3D Point Set Features using Transformer and its Self-distillation
T. Furuya
Zhoujie Chen
Ryutarou Ohbuchi
Zhenzhong Kuang
3DPC
8
1
0
09 Aug 2023
CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation
  via Centrifugal Reference Frame
CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame
Yujing Lou
Zelin Ye
Yang You
Nianjuan Jiang
Jiangbo Lu
Weiming Wang
Lizhuang Ma
Cewu Lu
3DPC
29
7
0
06 Mar 2023
General Rotation Invariance Learning for Point Clouds via Weight-Feature
  Alignment
General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment
Liang Xie
Yibo Yang
Wenxiao Wang
Binbin Lin
Deng Cai
Xiaofei He
Ronghua Liang
3DPC
6
2
0
20 Feb 2023
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis
Pavlo Melnyk
Andreas Robinson
M. Felsberg
Maarten Wadenback
3DPC
8
2
0
26 Nov 2022
Learning a Task-specific Descriptor for Robust Matching of 3D Point
  Clouds
Learning a Task-specific Descriptor for Robust Matching of 3D Point Clouds
Zhiyuan Zhang
Yuchao Dai
Bin Fan
Jiadai Sun
Mingyi He
3DPC
30
6
0
26 Oct 2022
A Simple Strategy to Provable Invariance via Orbit Mapping
A Simple Strategy to Provable Invariance via Orbit Mapping
Kanchana Vaishnavi Gandikota
Jonas Geiping
Zorah Lähner
Adam Czapliñski
Michael Moeller
AAML
3DPC
11
3
0
24 Sep 2022
On the effectiveness of persistent homology
On the effectiveness of persistent homology
Renata Turkevs
Guido Montúfar
N. Otter
9
18
0
21 Jun 2022
The Devil is in the Pose: Ambiguity-free 3D Rotation-invariant Learning
  via Pose-aware Convolution
The Devil is in the Pose: Ambiguity-free 3D Rotation-invariant Learning via Pose-aware Convolution
Ronghan Chen
Yang Cong
3DH
9
19
0
30 May 2022
A Graph-CNN for 3D Point Cloud Classification
A Graph-CNN for 3D Point Cloud Classification
Yingxue Zhang
Michael G. Rabbat
3DPC
98
144
0
28 Nov 2018
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