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Spherical CNNs

Spherical CNNs

30 January 2018
Taco S. Cohen
Mario Geiger
Jonas Köhler
Max Welling
ArXivPDFHTML

Papers citing "Spherical CNNs"

28 / 178 papers shown
Title
Learning Symmetries of Classical Integrable Systems
Learning Symmetries of Classical Integrable Systems
Roberto Bondesan
A. Lamacraft
14
39
0
11 Jun 2019
Cormorant: Covariant Molecular Neural Networks
Cormorant: Covariant Molecular Neural Networks
Brandon M. Anderson
Truong Son-Hy
Risi Kondor
13
421
0
06 Jun 2019
Covariance in Physics and Convolutional Neural Networks
Covariance in Physics and Convolutional Neural Networks
Miranda C. N. Cheng
V. Anagiannis
Maurice Weiler
P. D. Haan
Taco S. Cohen
Max Welling
40
18
0
06 Jun 2019
DeepSphere: towards an equivariant graph-based spherical CNN
DeepSphere: towards an equivariant graph-based spherical CNN
M. Defferrard
Nathanael Perraudin
T. Kacprzak
R. Sgier
GNN
21
24
0
08 Apr 2019
3DRegNet: A Deep Neural Network for 3D Point Registration
3DRegNet: A Deep Neural Network for 3D Point Registration
Goncalo Dias Pais
Srikumar Ramalingam
V. Govindu
Jacinto C. Nascimento
Rama Chellappa
Pedro Miraldo
3DPC
3DV
31
219
0
02 Apr 2019
Spherical U-Net on Cortical Surfaces: Methods and Applications
Spherical U-Net on Cortical Surfaces: Methods and Applications
Fenqiang Zhao
Shun-ren Xia
Zhengwang Wu
Dingna Duan
Li Wang
Weili Lin
J. Gilmore
D. Shen
Gang Li
18
58
0
01 Apr 2019
Discrete Rotation Equivariance for Point Cloud Recognition
Discrete Rotation Equivariance for Point Cloud Recognition
Jiaxin Li
Yingcai Bi
Gim Hee Lee
3DPC
19
24
0
31 Mar 2019
HexagDLy - Processing hexagonally sampled data with CNNs in PyTorch
HexagDLy - Processing hexagonally sampled data with CNNs in PyTorch
C. Steppa
T. Holch
16
37
0
05 Mar 2019
Octree guided CNN with Spherical Kernels for 3D Point Clouds
Octree guided CNN with Spherical Kernels for 3D Point Clouds
Huan Lei
Naveed Akhtar
Ajmal Saeed Mian
3DPC
11
141
0
28 Feb 2019
Adversarial Attack and Defense on Point Sets
Adversarial Attack and Defense on Point Sets
Jiancheng Yang
Qiang Zhang
Rongyao Fang
Bingbing Ni
Jinxian Liu
Qi Tian
3DPC
19
122
0
28 Feb 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Taco S. Cohen
Maurice Weiler
Berkay Kicanaoglu
Max Welling
38
402
0
11 Feb 2019
Equivariant Transformer Networks
Equivariant Transformer Networks
Kai Sheng Tai
Peter Bailis
Gregory Valiant
ViT
17
68
0
25 Jan 2019
Surface Networks via General Covers
Surface Networks via General Covers
Niv Haim
Nimrod Segol
Heli Ben-Hamu
Haggai Maron
Y. Lipman
3DPC
14
49
0
27 Dec 2018
Kernel Transformer Networks for Compact Spherical Convolution
Kernel Transformer Networks for Compact Spherical Convolution
Yu-Chuan Su
Kristen Grauman
ViT
19
124
0
07 Dec 2018
View Inter-Prediction GAN: Unsupervised Representation Learning for 3D
  Shapes by Learning Global Shape Memories to Support Local View Predictions
View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions
Zhizhong Han
Mingyang Shang
Yu-Shen Liu
Matthias Zwicker
SSL
3DV
GAN
19
135
0
07 Nov 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S. Cohen
Mario Geiger
Maurice Weiler
MLT
AI4CE
153
308
0
05 Nov 2018
Learning Compressed Transforms with Low Displacement Rank
Learning Compressed Transforms with Low Displacement Rank
Anna T. Thomas
Albert Gu
Tri Dao
Atri Rudra
Christopher Ré
22
40
0
04 Oct 2018
3D Human Pose Estimation with Siamese Equivariant Embedding
3D Human Pose Estimation with Siamese Equivariant Embedding
M. Véges
Viktor Varga
András Lőrincz
19
29
0
19 Sep 2018
Isometric Transformation Invariant Graph-based Deep Neural Network
Isometric Transformation Invariant Graph-based Deep Neural Network
Renata Khasanova
P. Frossard
25
3
0
21 Aug 2018
Explorations in Homeomorphic Variational Auto-Encoding
Explorations in Homeomorphic Variational Auto-Encoding
Luca Falorsi
P. D. Haan
Tim R. Davidson
Nicola De Cao
Maurice Weiler
Patrick Forré
Taco S. Cohen
BDL
DRL
23
116
0
12 Jul 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in
  Volumetric Data
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
Maurice Weiler
Mario Geiger
Max Welling
Wouter Boomsma
Taco S. Cohen
3DPC
21
494
0
06 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional
  Neural Network
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
Risi Kondor
Zhen Lin
Shubhendu Trivedi
23
264
0
24 Jun 2018
Parallel Transport Convolution: A New Tool for Convolutional Neural
  Networks on Manifolds
Parallel Transport Convolution: A New Tool for Convolutional Neural Networks on Manifolds
Stefan C. Schonsheck
Bin Dong
Rongjie Lai
24
22
0
21 May 2018
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant
  Deep Networks
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks
Xiuyuan Cheng
Qiang Qiu
Robert Calderbank
Guillermo Sapiro
25
43
0
17 May 2018
3D G-CNNs for Pulmonary Nodule Detection
3D G-CNNs for Pulmonary Nodule Detection
M. Winkels
Taco S. Cohen
MedIm
3DPC
19
107
0
12 Apr 2018
Tensor field networks: Rotation- and translation-equivariant neural
  networks for 3D point clouds
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds
Nathaniel Thomas
Tess E. Smidt
S. Kearnes
Lusann Yang
Li Li
Kai Kohlhoff
Patrick F. Riley
3DPC
22
939
0
22 Feb 2018
On the Generalization of Equivariance and Convolution in Neural Networks
  to the Action of Compact Groups
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
Risi Kondor
Shubhendu Trivedi
MLT
24
487
0
11 Feb 2018
Learning SO(3) Equivariant Representations with Spherical CNNs
Learning SO(3) Equivariant Representations with Spherical CNNs
Carlos Esteves
Christine Allen-Blanchette
A. Makadia
Kostas Daniilidis
45
508
0
17 Nov 2017
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