Equivariant Point Network for 3D Point Cloud Analysis

25 March 2021

Haiwei Chen

Hao Li

Papers citing "Equivariant Point Network for 3D Point Cloud Analysis"

30 / 30 papers shown

Title
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Ali Alawieh Alexandru P. Condurache 3DPC 53 0 0 07 May 2025
Relaxed Equivariance via Multitask Learning Ahmed A. A. Elhag T. Konstantin Rusch Francesco Di Giovanni Michael Bronstein 42 2 0 23 Oct 2024
EqNIO: Subequivariant Neural Inertial Odometry Royina Karegoudra Jayanth Yinshuang Xu Ziyun Wang Evangelos Chatzipantazis Daniel Gehrig Kostas Daniilidis 40 3 0 12 Aug 2024
Sampling Foundational Transformer: A Theoretical Perspective Viet Anh Nguyen Minh Lenhat Khoa Nguyen Duong Duc Hieu Dao Huu Hung Truong Son-Hy 42 0 0 11 Aug 2024
Diffusion-Driven Self-Supervised Learning for Shape Reconstruction and Pose Estimation Jingtao Sun Yaonan Wang Mingtao Feng Chao Ding Mike Zheng Shou Ajmal Saeed Mian DiffM 39 0 0 19 Mar 2024
Affine Invariance in Continuous-Domain Convolutional Neural Networks A. Mohaddes Johannes Lederer 13 1 0 13 Nov 2023
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras Tzu-Yuan Lin Minghan Zhu Maani Ghaffari 40 1 0 06 Oct 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao Takumi Matsuzawa W. Irvine Michael Maire G. Kindlmann 35 2 0 31 May 2023
Neural Fourier Transform: A General Approach to Equivariant Representation Learning Masanori Koyama Kenji Fukumizu Kohei Hayashi Takeru Miyato 27 8 0 29 May 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions Prakash Panangaden S. Rezaei-Shoshtari Rosie Zhao D. Meger Doina Precup 25 2 0 09 May 2023
FAENet: Frame Averaging Equivariant GNN for Materials Modeling Alexandre Duval Victor Schmidt A. Garcia Santiago Miret Fragkiskos D. Malliaros Yoshua Bengio David Rolnick 22 53 0 28 Apr 2023
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision Jiahui Lei Congyue Deng Karl Schmeckpeper Leonidas J. Guibas Kostas Daniilidis 3DPC 24 21 0 27 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 42 7 0 06 Mar 2023
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction David M. Klee Ondrej Biza Robert W. Platt Robin G. Walters 21 18 0 27 Feb 2023
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs Saro Passaro C. L. Zitnick 3DPC 23 79 0 07 Feb 2023
Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and Group Convolution A. Poulenard M. Ovsjanikov Leonidas J. Guibas 3DPC 30 2 0 29 Nov 2022
Grasp Learning: Models, Methods, and Performance Robert W. Platt 21 23 0 09 Nov 2022
Rethinking the compositionality of point clouds through regularization in the hyperbolic space Antonio Montanaro D. Valsesia E. Magli 3DPC 33 31 0 21 Sep 2022
$Image to Icosahedral Projection for $\mathrm{SO}(3)$ Object Reasoning from Single-View Images$ Image to Icosahedral Projection for $\mathrm{SO}(3)$ Object Reasoning from Single-View Images David M. Klee Ondrej Biza Robert W. Platt Robin G. Walters 18 4 0 18 Jul 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
E2PN: Efficient SE(3)-Equivariant Point Network Minghan Zhu Maani Ghaffari W. A. Clark Huei Peng 3DPC 16 18 0 11 Jun 2022
SE(3)-Equivariant Attention Networks for Shape Reconstruction in Function Space Evangelos Chatzipantazis Stefanos Pertigkiozoglou Edgar Dobriban Kostas Daniilidis 3DPC 32 30 0 05 Apr 2022
PCRP: Unsupervised Point Cloud Object Retrieval and Pose Estimation Pranav Kadam Qingyang Zhou Shan Liu C.-C. Jay Kuo 3DPC 28 10 0 16 Feb 2022
Frame Averaging for Equivariant Shape Space Learning Matan Atzmon Koki Nagano Sanja Fidler S. Khamis Y. Lipman FedML 28 13 0 03 Dec 2021
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 15 8 0 22 Nov 2021
Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation Xiaolong Li Yijia Weng Li Yi Leonidas J. Guibas A. L. Abbott Shuran Song He-Nan Wang 3DPC 39 53 0 30 Oct 2021
Projective Manifold Gradient Layer for Deep Rotation Regression Jiayi Chen Yingda Yin Tolga Birdal Baoquan Chen Leonidas J. Guibas He-Nan Wang 42 33 0 22 Oct 2021
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
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
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 14,099 0 02 Dec 2016