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A Simple and Universal Rotation Equivariant Point-cloud Network

A Simple and Universal Rotation Equivariant Point-cloud Network

2 March 2022
Ben Finkelshtein
Chaim Baskin
Haggai Maron
Nadav Dym
    3DPC
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Papers citing "A Simple and Universal Rotation Equivariant Point-cloud Network"

15 / 15 papers shown
Title
Towards Stable, Globally Expressive Graph Representations with Laplacian
  Eigenvectors
Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors
Junru Zhou
Cai Zhou
Xiyuan Wang
Pan Li
Muhan Zhang
35
0
0
13 Oct 2024
On the Expressive Power of Sparse Geometric MPNNs
On the Expressive Power of Sparse Geometric MPNNs
Yonatan Sverdlov
Nadav Dym
40
1
0
02 Jul 2024
A Characterization Theorem for Equivariant Networks with Point-wise
  Activations
A Characterization Theorem for Equivariant Networks with Point-wise Activations
Marco Pacini
Xiaowen Dong
Bruno Lepri
G. Santin
36
2
0
17 Jan 2024
Using Multiple Vector Channels Improves E(n)-Equivariant Graph Neural
  Networks
Using Multiple Vector Channels Improves E(n)-Equivariant Graph Neural Networks
Daniel Levy
Sekouba Kaba
Carmelo Gonzales
Santiago Miret
Siamak Ravanbakhsh
36
5
0
06 Sep 2023
Approximately Equivariant Graph Networks
Approximately Equivariant Graph Networks
Ningyuan Huang
Ron Levie
Soledad Villar
32
18
0
21 Aug 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed
  on Orbits
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits
Zhuokai Zhao
Takumi Matsuzawa
W. Irvine
Michael Maire
G. Kindlmann
32
2
0
31 May 2023
Complete Neural Networks for Complete Euclidean Graphs
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
Brauer's Group Equivariant Neural Networks
Edward Pearce-Crump
AI4CE
13
15
0
16 Dec 2022
Equivariant Networks for Crystal Structures
Equivariant Networks for Crystal Structures
Sekouba Kaba
Siamak Ravanbakhsh
AI4CE
36
23
0
15 Nov 2022
Low Dimensional Invariant Embeddings for Universal Geometric Learning
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
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
37
126
0
07 Oct 2021
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
104
315
0
25 Apr 2021
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
112
109
0
16 Mar 2020
Universal Equivariant Multilayer Perceptrons
Universal Equivariant Multilayer Perceptrons
Siamak Ravanbakhsh
98
48
0
07 Feb 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
14,099
0
02 Dec 2016
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