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SRINet: Learning Strictly Rotation-Invariant Representations for Point
  Cloud Classification and Segmentation

SRINet: Learning Strictly Rotation-Invariant Representations for Point Cloud Classification and Segmentation

6 November 2019
Xiao Sun
Zheng Lian
Jianguo Xiao
    3DPC
ArXivPDFHTML

Papers citing "SRINet: Learning Strictly Rotation-Invariant Representations for Point Cloud Classification and Segmentation"

10 / 10 papers shown
Title
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging
Ali Alawieh
Alexandru P. Condurache
3DPC
58
0
0
07 May 2025
Sampling Foundational Transformer: A Theoretical Perspective
Sampling Foundational Transformer: A Theoretical Perspective
Viet Anh Nguyen
Minh Lenhat
Khoa Nguyen
Duong Duc Hieu
Dao Huu Hung
Truong-Son Hy
44
0
0
11 Aug 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
43
2
0
01 Mar 2024
Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance
Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance
Yiming Cui
Lecheng Ruan
Hang Dong
Qiang Li
Zhongming Wu
T. Zeng
Fengyu Fan
3DPC
35
0
0
13 May 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
24
2
0
20 Feb 2023
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
46
7
0
26 Oct 2022
You Only Hypothesize Once: Point Cloud Registration with
  Rotation-equivariant Descriptors
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors
Haiping Wang
Yuan Liu
Zhen Dong
Wenping Wang
3DPC
27
124
0
01 Sep 2021
Differentiable Convolution Search for Point Cloud Processing
Differentiable Convolution Search for Point Cloud Processing
Xing Nie
Yongcheng Liu
Shaohong Chen
Jianlong Chang
Chunlei Huo
Gaofeng Meng
Qi Tian
Weiming Hu
Chunhong Pan
3DPC
39
6
0
29 Aug 2021
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
34
24
0
02 Jan 2021
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
259
3,239
0
24 Nov 2016
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