Rotation Invariant Convolutions for 3D Point Clouds Deep Learning

17 August 2019

Papers citing "Rotation Invariant Convolutions for 3D Point Clouds Deep Learning"

35 / 35 papers shown

Title
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Ali Alawieh Alexandru P. Condurache 3DPC 58 0 0 07 May 2025
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 Xinyu Xu Huazhen Liu Feiming Wei Huilin Xiong W. Yu Tao Zhang 3DPC 31 0 0 04 Nov 2024
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
Rethinking Attention Module Design for Point Cloud Analysis Chengzhi Wu Kaige Wang Zeyun Zhong Hao Fu Junwei Zheng Jiaming Zhang Julius Pfrommer Jürgen Beyerer 3DPC 51 1 0 27 Jul 2024
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 46 0 0 15 Jul 2024
An intuitive multi-frequency feature representation for SO(3)-equivariant networks Dongwon Son Jaehyung Kim Sanghyeon Son Beomjoon Kim 3DPC 38 1 0 15 Mar 2024
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 Yiming Cui Lecheng Ruan Hang Dong Qiang Li Zhongming Wu T. Zeng Fengyu Fan 3DPC 35 0 0 13 May 2023
A Closer Look at Few-Shot 3D Point Cloud Classification Chuangguan Ye Hongyuan Zhu Bo-Wen Zhang Tao Chen 3DPC 26 15 0 31 Mar 2023
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 44 7 0 06 Mar 2023
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
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis Pavlo Melnyk Andreas Robinson M. Felsberg Maarten Wadenback 3DPC 23 2 0 26 Nov 2022
Equivariance with Learned Canonicalization Functions Sekouba Kaba Arnab Kumar Mondal Yan Zhang Yoshua Bengio Siamak Ravanbakhsh 41 61 0 11 Nov 2022
Learning a Task-specific Descriptor for Robust Matching of 3D Point Clouds Zhiyuan Zhang Yuchao Dai Bin Fan Jiadai Sun Mingyi He 3DPC 43 7 0 26 Oct 2022
Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds Minghua Liu Xuanlin Li Z. Ling Yangyan Li Hao Su 36 31 0 14 Oct 2022
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 52 39 0 27 Sep 2022
PointConvFormer: Revenge of the Point-based Convolution Wenxuan Wu Li Fuxin Qi Shan 3DPC 25 30 0 04 Aug 2022
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces Yinshuang Xu Jiahui Lei Edgar Dobriban Kostas Daniilidis 23 19 0 16 Jun 2022
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons Serge Assaad Carlton Downey Rami Al-Rfou Nigamaa Nayakanti Benjamin Sapp 36 18 0 08 Jun 2022
A Simple and Universal Rotation Equivariant Point-cloud Network Ben Finkelshtein Chaim Baskin Haggai Maron Nadav Dym 3DPC 29 13 0 02 Mar 2022
Benchmarking and Analyzing Point Cloud Classification under Corruptions Jiawei Ren Liang Pan Ziwei Liu 3DPC 19 80 0 07 Feb 2022
Frame Averaging for Equivariant Shape Space Learning Matan Atzmon Koki Nagano Sanja Fidler S. Khamis Y. Lipman FedML 30 13 0 03 Dec 2021
Robust Pooling through the Data Mode Ayman Mukhaimar Ruwan Tennakoon Chow Yin Lai R. Hoseinnezhad A. Bab-Hadiashar 3DPC 3DV OOD 16 3 0 21 Jun 2021
Scalars are universal: Equivariant machine learning, structured like classical physics Soledad Villar D. Hogg Kate Storey-Fisher Weichi Yao Ben Blum-Smith PINN AI4CE 24 130 0 11 Jun 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas J. Guibas 3DPC 111 315 0 25 Apr 2021
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
ODFNet: Using orientation distribution functions to characterize 3D point clouds Y. Sahin Alican Mertan Gözde B. Ünal 3DPC 21 7 0 08 Dec 2020
Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis Ruixuan Yu Xin Wei Federico Tombari Jian Sun 3DPC 22 37 0 18 Nov 2020
Learning to Orient Surfaces by Self-supervised Spherical CNNs Riccardo Spezialetti Federico Stella M. Marcon Luciano Silva Samuele Salti Luigi Di Stefano 11 40 0 06 Nov 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 45 665 0 18 Jun 2020
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 117 109 0 16 Mar 2020
Triangle-Net: Towards Robustness in Point Cloud Learning Chenxi Xiao J. Wachs 3DH 3DPC 31 34 0 27 Feb 2020
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 152 769 0 30 Mar 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 253 3,239 0 24 Nov 2016