A Simple and Universal Rotation Equivariant Point-cloud Network

2 March 2022

Papers citing "A Simple and Universal Rotation Equivariant Point-cloud Network"

11 / 11 papers shown

Title
On the Expressive Power of Sparse Geometric MPNNs Yonatan Sverdlov Nadav Dym 40 1 0 02 Jul 2024
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao Takumi Matsuzawa W. Irvine Michael Maire G. Kindlmann 13 2 0 31 May 2023
Complete Neural Networks for Complete Euclidean Graphs Snir Hordan Tal Amir S. Gortler Nadav Dym 3DPC 24 5 0 31 Jan 2023
Brauer's Group Equivariant Neural Networks Edward Pearce-Crump AI4CE 13 15 0 16 Dec 2022
Equivariant Networks for Crystal Structures Sekouba Kaba Siamak Ravanbakhsh AI4CE 30 23 0 15 Nov 2022
Low Dimensional Invariant Embeddings for Universal Geometric Learning Nadav Dym S. Gortler 21 39 0 05 May 2022
Frame Averaging for Invariant and Equivariant Network Design Omri Puny Matan Atzmon Heli Ben-Hamu Ishan Misra Aditya Grover Edward James Smith Y. Lipman FedML 33 126 0 07 Oct 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 102 315 0 25 Apr 2021
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 112 108 0 16 Mar 2020
Universal Equivariant Multilayer Perceptrons Siamak Ravanbakhsh 98 48 0 07 Feb 2020
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 14,087 0 02 Dec 2016