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Rethinking Rotation Invariance with Point Cloud Registration

Rethinking Rotation Invariance with Point Cloud Registration

31 December 2022
Jianhui Yu
Chaoyi Zhang
Weidong (Tom) Cai
    3DPC
ArXivPDFHTML

Papers citing "Rethinking Rotation Invariance with Point Cloud Registration"

11 / 11 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
27
0
0
19 Apr 2025
PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings
PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings
Sutharsan Mahendren
Saimunur Rahman
Piotr Koniusz
Tharindu Fernando
Sridha Sridharan
Clinton Fookes
Peyman Moghadam
3DPC
41
0
0
24 Sep 2024
Enhancing Robustness to Noise Corruption for Point Cloud Model via
  Spatial Sorting and Set-Mixing Aggregation Module
Enhancing Robustness to Noise Corruption for Point Cloud Model via Spatial Sorting and Set-Mixing Aggregation Module
Dingxin Zhang
Jianhui Yu
Tengfei Xue
Chaoyi Zhang
Dongnan Liu
Weidong Cai
3DPC
51
0
0
15 Jul 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
56
2
0
01 Mar 2024
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
Michael Felsberg
Maarten Wadenback
3DPC
28
2
0
26 Nov 2022
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Congyue Deng
Or Litany
Yueqi Duan
A. Poulenard
Andrea Tagliasacchi
Leonidas J. Guibas
3DPC
125
318
0
25 Apr 2021
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection
  for Sparse Semantic Segmentation Network
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network
Ran Cheng
Ryan Razani
E. Taghavi
Enxu Li
Bingbing Liu
3DPC
158
241
0
08 Feb 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud
  Understanding
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Saining Xie
Jiatao Gu
Demi Guo
C. Qi
Leonidas J. Guibas
Or Litany
3DPC
141
625
0
21 Jul 2020
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
123
109
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
222
14,136
0
02 Dec 2016
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
206
7,344
0
05 Jun 2015
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