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Harmonic Networks: Deep Translation and Rotation Equivariance
v1v2 (latest)

Harmonic Networks: Deep Translation and Rotation Equivariance

14 December 2016
Daniel E. Worrall
Stephan J. Garbin
Daniyar Turmukhambetov
Gabriel J. Brostow
ArXiv (abs)PDFHTML

Papers citing "Harmonic Networks: Deep Translation and Rotation Equivariance"

50 / 419 papers shown
Title
Quantifying and Learning Linear Symmetry-Based Disentanglement
Quantifying and Learning Linear Symmetry-Based Disentanglement
Loek Tonnaer
L. Rey
Vlado Menkovski
Mike Holenderski
J. Portegies
FedMLCoGeDRL
70
14
0
11 Nov 2020
Latent Causal Invariant Model
Latent Causal Invariant Model
Xinwei Sun
Botong Wu
Xiangyu Zheng
Chang-Shu Liu
Wei Chen
Tao Qin
Tie-Yan Liu
OODCMLBDL
101
14
0
04 Nov 2020
Learning Invariances in Neural Networks
Learning Invariances in Neural Networks
Gregory W. Benton
Marc Finzi
Pavel Izmailov
A. Wilson
94
70
0
22 Oct 2020
Trajectory Prediction using Equivariant Continuous Convolution
Trajectory Prediction using Equivariant Continuous Convolution
Robin Walters
Jinxi Li
Rose Yu
82
44
0
21 Oct 2020
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
Leon Lang
Maurice Weiler
121
56
0
21 Oct 2020
Probabilistic Numeric Convolutional Neural Networks
Probabilistic Numeric Convolutional Neural Networks
Marc Finzi
Roberto Bondesan
Max Welling
BDLAI4TS
84
13
0
21 Oct 2020
Spherical Convolutional Neural Networks: Stability to Perturbations in
  SO(3)
Spherical Convolutional Neural Networks: Stability to Perturbations in SO(3)
Zhan Gao
Fernando Gama
Alejandro Ribeiro
AAMLMLT
42
0
0
12 Oct 2020
Simplicial Neural Networks
Simplicial Neural Networks
Stefania Ebli
M. Defferrard
Gard Spreemann
GNN
93
131
0
07 Oct 2020
Group Equivariant Stand-Alone Self-Attention For Vision
Group Equivariant Stand-Alone Self-Attention For Vision
David W. Romero
Jean-Baptiste Cordonnier
MDE
163
60
0
02 Oct 2020
RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D
  Shape Retrieval
RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval
Rao Fu
Jie Yang
Jiawei Sun
Fang-Lue Zhang
Yu-kun Lai
Lin Gao
3DV3DPC3DH
86
3
0
02 Oct 2020
Rotated Ring, Radial and Depth Wise Separable Radial Convolutions
Rotated Ring, Radial and Depth Wise Separable Radial Convolutions
Wolfgang Fuhl
Enkelejda Kasneci
61
14
0
02 Oct 2020
DV-ConvNet: Fully Convolutional Deep Learning on Point Clouds with
  Dynamic Voxelization and 3D Group Convolution
DV-ConvNet: Fully Convolutional Deep Learning on Point Clouds with Dynamic Voxelization and 3D Group Convolution
Zhaoyu Su
P. S. Tan
J. Chow
Jimmy Wu
Yehur Cheong
Yu-Hsing Wang
3DPC
38
2
0
07 Sep 2020
Robust Object Classification Approach using Spherical Harmonics
Robust Object Classification Approach using Spherical Harmonics
Ayman Mukhaimar
Ruwan Tennakoon
Chow Yin Lai
R. Hoseinnezhad
A. Bab-Hadiashar
3DPC
64
7
0
02 Sep 2020
Brain Stroke Lesion Segmentation Using Consistent Perception Generative
  Adversarial Network
Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network
Shuqiang Wang
Zhuo Chen
Wen Yu
Baiying Lei
GANMedIm
93
61
0
30 Aug 2020
Spherical coordinates transformation pre-processing in Deep Convolution
  Neural Networks for brain tumor segmentation in MRI
Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI
C. Russo
Sidong Liu
A. Di Ieva
105
22
0
17 Aug 2020
On the finite representation of group equivariant operators via
  permutant measures
On the finite representation of group equivariant operators via permutant measures
Giovanni Bocchi
S. Botteghi
Martina Brasini
Patrizio Frosini
Nicola Quercioli
34
9
0
07 Aug 2020
Importance of Self-Consistency in Active Learning for Semantic
  Segmentation
Importance of Self-Consistency in Active Learning for Semantic Segmentation
S. Golestaneh
Kris Kitani
SSL
54
36
0
04 Aug 2020
Time-Reversal Symmetric ODE Network
Time-Reversal Symmetric ODE Network
In Huh
Eunho Yang
Sung Ju Hwang
Jinwoo Shin
100
20
0
22 Jul 2020
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical
  Convolution Layers
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution Layers
Jinpyo Kim
Wookeun Jung
Hyungmo Kim
Jaejin Lee
56
31
0
21 Jul 2020
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions
Zhengyang Shen
Lingshen He
Zhouchen Lin
Jinwen Ma
97
47
0
20 Jul 2020
Scale Equivariance Improves Siamese Tracking
Scale Equivariance Improves Siamese Tracking
Ivan Sosnovik
A. Moskalev
A. Smeulders
52
79
0
17 Jul 2020
Group Invariant Dictionary Learning
Group Invariant Dictionary Learning
Yong Sheng Soh
58
9
0
15 Jul 2020
Meta-Learning Symmetries by Reparameterization
Meta-Learning Symmetries by Reparameterization
Allan Zhou
Tom Knowles
Chelsea Finn
OOD
91
96
0
06 Jul 2020
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
Elise van der Pol
Daniel E. Worrall
H. V. Hoof
F. Oliehoek
Max Welling
BDLAI4CE
104
163
0
30 Jun 2020
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey
M. Rath
Alexandru Paul Condurache
ViTAI4CE
114
9
0
30 Jun 2020
Tackling Occlusion in Siamese Tracking with Structured Dropouts
Tackling Occlusion in Siamese Tracking with Structured Dropouts
D. K. Gupta
E. Gavves
A. Smeulders
69
8
0
30 Jun 2020
Spin-Weighted Spherical CNNs
Spin-Weighted Spherical CNNs
Carlos Esteves
A. Makadia
Kostas Daniilidis
102
70
0
18 Jun 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
F. Fuchs
Daniel E. Worrall
Volker Fischer
Max Welling
3DPC
176
699
0
18 Jun 2020
AlgebraNets
AlgebraNets
Jordan Hoffmann
Simon Schmitt
Simon Osindero
Karen Simonyan
Erich Elsen
MoE
182
6
0
12 Jun 2020
Lorentz Group Equivariant Neural Network for Particle Physics
Lorentz Group Equivariant Neural Network for Particle Physics
A. Bogatskiy
Brandon M. Anderson
Jan T. Offermann
M. Roussi
David W. Miller
Risi Kondor
AI4CE
72
141
0
08 Jun 2020
On Universalized Adversarial and Invariant Perturbations
On Universalized Adversarial and Invariant Perturbations
Sandesh Kamath
Amit Deshpande
K. Subrahmanyam
AAML
31
0
0
08 Jun 2020
Structure preserving deep learning
Structure preserving deep learning
E. Celledoni
Matthias Joachim Ehrhardt
Christian Etmann
R. McLachlan
B. Owren
Carola-Bibiane Schönlieb
Ferdia Sherry
AI4CE
122
44
0
05 Jun 2020
Info3D: Representation Learning on 3D Objects using Mutual Information
  Maximization and Contrastive Learning
Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning
Aditya Sanghi
3DPCSSL
70
103
0
04 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features
CNNs on Surfaces using Rotation-Equivariant Features
R. Wiersma
E. Eisemann
Klaus Hildebrandt
127
69
0
02 Jun 2020
Computing Representations for Lie Algebraic Networks
Computing Representations for Lie Algebraic Networks
N. Shutty
Casimir Wierzynski
59
2
0
01 Jun 2020
Model-Based Robust Deep Learning: Generalizing to Natural,
  Out-of-Distribution Data
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data
Alexander Robey
Hamed Hassani
George J. Pappas
OOD
103
43
0
20 May 2020
3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis
3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis
Valentin Oreiller
Vincent Andrearczyk
Julien Fageot
John O. Prior
Adrien Depeursinge
22
1
0
28 Apr 2020
A Data and Compute Efficient Design for Limited-Resources Deep Learning
A Data and Compute Efficient Design for Limited-Resources Deep Learning
Mirgahney Mohamed
Gabriele Cesa
Taco S. Cohen
Max Welling
MedIm
93
18
0
21 Apr 2020
Invariant Integration in Deep Convolutional Feature Space
Invariant Integration in Deep Convolutional Feature Space
M. Rath
Alexandru Paul Condurache
MDE
49
6
0
20 Apr 2020
The general theory of permutation equivarant neural networks and higher
  order graph variational encoders
The general theory of permutation equivarant neural networks and higher order graph variational encoders
Erik H. Thiede
Truong-Son Hy
Risi Kondor
63
35
0
08 Apr 2020
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in
  Histology Images
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images
S. Graham
David B. A. Epstein
Nasir M. Rajpoot
109
89
0
06 Apr 2020
Local Rotation Invariance in 3D CNNs
Local Rotation Invariance in 3D CNNs
Vincent Andrearczyk
Julien Fageot
Valentin Oreiller
X. Montet
Adrien Depeursinge
82
23
0
19 Mar 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit
  Absolute Spatial Location
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
O. Kayhan
Jan van Gemert
341
237
0
16 Mar 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric
  graphs
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
P. D. Haan
Maurice Weiler
Taco S. Cohen
Max Welling
164
130
0
11 Mar 2020
Plannable Approximations to MDP Homomorphisms: Equivariance under
  Actions
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
Elise van der Pol
Thomas Kipf
F. Oliehoek
Max Welling
76
80
0
27 Feb 2020
Can we have it all? On the Trade-off between Spatial and Adversarial
  Robustness of Neural Networks
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks
Sandesh Kamath
Amit Deshpande
Subrahmanyam Kambhampati Venkata
V. Balasubramanian
88
12
0
26 Feb 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie
  Groups on Arbitrary Continuous Data
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
Marc Finzi
Samuel Stanton
Pavel Izmailov
A. Wilson
138
324
0
25 Feb 2020
Set2Graph: Learning Graphs From Sets
Set2Graph: Learning Graphs From Sets
Hadar Serviansky
Nimrod Segol
Jonathan Shlomi
Kyle Cranmer
Eilam Gross
Haggai Maron
Y. Lipman
PINNGNN
142
35
0
20 Feb 2020
Roto-Translation Equivariant Convolutional Networks: Application to
  Histopathology Image Analysis
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis
Maxime W. Lafarge
Erik J. Bekkers
J. Pluim
R. Duits
M. Veta
MedIm
152
75
0
20 Feb 2020
On Learning Sets of Symmetric Elements
On Learning Sets of Symmetric Elements
Haggai Maron
Or Litany
Gal Chechik
Ethan Fetaya
96
137
0
20 Feb 2020
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