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Rotation-Invariant Local-to-Global Representation Learning for 3D Point
  Cloud

Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud

7 October 2020
Seohyun Kim
Jaeyoo Park
Bohyung Han
    3DPC
ArXivPDFHTML

Papers citing "Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud"

12 / 12 papers shown
Title
HFBRI-MAE: Handcrafted Feature Based Rotation-Invariant Masked Autoencoder for 3D Point Cloud Analysis
HFBRI-MAE: Handcrafted Feature Based Rotation-Invariant Masked Autoencoder for 3D Point Cloud Analysis
Xuanhua Yin
Dingxin Zhang
Jianhui Yu
Weidong Cai
25
0
0
19 Apr 2025
Rotation Perturbation Robustness in Point Cloud Analysis: A Perspective
  of Manifold Distillation
Rotation Perturbation Robustness in Point Cloud Analysis: A Perspective of Manifold Distillation
Xinyu Xu
Huazhen Liu
Feiming Wei
Huilin Xiong
W. Yu
Tao Zhang
3DPC
29
0
0
04 Nov 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
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
42
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
16
2
0
20 Feb 2023
RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud
  Registration
RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration
Hao Yu
Jiafan Hou
Zheng Qin
Mahdi Saleh
I. Shugurov
Kai Wang
Benjamin Busam
Slobodan Ilic
47
39
0
27 Sep 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-Bin Liu
Zhen Dong
Wenping Wang
3DPC
27
124
0
01 Sep 2021
User configurable 3D object regeneration for spatial privacy
User configurable 3D object regeneration for spatial privacy
Arpit Nama
Amaya Dharmasiri
Kanchana Thilakarathna
Albert Zomaya
Jaybie A. de Guzman
24
4
0
10 Aug 2021
ODFNet: Using orientation distribution functions to characterize 3D
  point clouds
ODFNet: Using orientation distribution functions to characterize 3D point clouds
Y. Sahin
Alican Mertan
Gözde B. Ünal
3DPC
13
7
0
08 Dec 2020
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud
  Registration
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
Sheng Ao
Qingyong Hu
Bo Yang
Andrew Markham
Yulan Guo
3DPC
OOD
28
272
0
24 Nov 2020
A Graph-CNN for 3D Point Cloud Classification
A Graph-CNN for 3D Point Cloud Classification
Yingxue Zhang
Michael G. Rabbat
3DPC
115
158
0
28 Nov 2018
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV
3DPC
150
768
0
30 Mar 2018
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