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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
Modelling Long Range Dependencies in $N$D: From Task-Specific to a
  General Purpose CNN
Modelling Long Range Dependencies in NNND: From Task-Specific to a General Purpose CNN
David M. Knigge
David W. Romero
Albert Gu
E. Gavves
Erik J. Bekkers
Jakub M. Tomczak
Mark Hoogendoorn
Jan-Jakob Sonke
3DV
91
22
0
25 Jan 2023
Equivariant and Steerable Neural Networks: A review with special
  emphasis on the symmetric group
Equivariant and Steerable Neural Networks: A review with special emphasis on the symmetric group
Patrick Krüger
Hanno Gottschalk
67
1
0
08 Jan 2023
Equivariant Light Field Convolution and Transformer
Equivariant Light Field Convolution and Transformer
Yinshuang Xu
Jiahui Lei
Kostas Daniilidis
ViT
46
0
0
30 Dec 2022
Image Classification with Small Datasets: Overview and Benchmark
Image Classification with Small Datasets: Overview and Benchmark
Lorenzo Brigato
Björn Barz
Luca Iocchi
Joachim Denzler
VLM
71
20
0
23 Dec 2022
VC dimensions of group convolutional neural networks
VC dimensions of group convolutional neural networks
P. Petersen
A. Sepliarskaia
VLM
55
7
0
19 Dec 2022
Implicit Convolutional Kernels for Steerable CNNs
Implicit Convolutional Kernels for Steerable CNNs
Maksim Zhdanov
Nico Hoffmann
Gabriele Cesa
147
7
0
12 Dec 2022
RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network
RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network
Hanlin Mo
Guoying Zhao
81
34
0
21 Nov 2022
Learning unfolded networks with a cyclic group structure
Learning unfolded networks with a cyclic group structure
Emmanouil Theodosis
Demba E. Ba
43
0
0
16 Nov 2022
Homomorphic Self-Supervised Learning
Homomorphic Self-Supervised Learning
Thomas Anderson Keller
Xavier Suau
Luca Zappella
SSL
68
2
0
15 Nov 2022
Equivariant Networks for Crystal Structures
Equivariant Networks for Crystal Structures
Sekouba Kaba
Siamak Ravanbakhsh
AI4CE
111
24
0
15 Nov 2022
Moving Frame Net: SE(3)-Equivariant Network for Volumes
Moving Frame Net: SE(3)-Equivariant Network for Volumes
Mateus Sangalli
S. Blusseau
Santiago Velasco-Forero
Jesús Angulo
117
7
0
07 Nov 2022
A PAC-Bayesian Generalization Bound for Equivariant Networks
A PAC-Bayesian Generalization Bound for Equivariant Networks
Arash Behboodi
Gabriele Cesa
Taco S. Cohen
91
19
0
24 Oct 2022
Equivariant Networks for Zero-Shot Coordination
Equivariant Networks for Zero-Shot Coordination
Darius Muglich
Christian Schroeder de Witt
Elise van der Pol
Shimon Whiteson
Jakob N. Foerster
108
14
0
21 Oct 2022
LieGG: Studying Learned Lie Group Generators
LieGG: Studying Learned Lie Group Generators
A. Moskalev
A. Sepliarskaia
Ivan Sosnovik
A. Smeulders
97
27
0
09 Oct 2022
In What Ways Are Deep Neural Networks Invariant and How Should We
  Measure This?
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?
Henry Kvinge
Tegan H. Emerson
Grayson Jorgenson
Scott Vasquez
T. Doster
Jesse D. Lew
84
9
0
07 Oct 2022
The Lie Derivative for Measuring Learned Equivariance
The Lie Derivative for Measuring Learned Equivariance
Nate Gruver
Marc Finzi
Micah Goldblum
A. Wilson
99
40
0
06 Oct 2022
Analysis of (sub-)Riemannian PDE-G-CNNs
Analysis of (sub-)Riemannian PDE-G-CNNs
Gijs Bellaard
Daan Bon
Gautam Pai
B. Smets
R. Duits
AI4CE
74
13
0
03 Oct 2022
Learning Equivariant Segmentation with Instance-Unique Querying
Learning Equivariant Segmentation with Instance-Unique Querying
Wenguan Wang
James Liang
Dongfang Liu
ISeg
95
49
0
03 Oct 2022
A Simple Strategy to Provable Invariance via Orbit Mapping
A Simple Strategy to Provable Invariance via Orbit Mapping
Kanchana Vaishnavi Gandikota
Jonas Geiping
Zorah Lähner
Adam Czapliñski
Michael Moeller
AAML3DPC
67
3
0
24 Sep 2022
Learning Invariant Representations for Equivariant Neural Networks Using
  Orthogonal Moments
Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal Moments
Jaspreet Singh
Chandan Singh
49
5
0
22 Sep 2022
Expansion and Shrinkage of Localization for Weakly-Supervised Semantic
  Segmentation
Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation
Jinlong Li
Zequn Jie
Xu Wang
Xiaolin K. Wei
Lin Ma
WSOL
150
50
0
16 Sep 2022
Clifford Neural Layers for PDE Modeling
Clifford Neural Layers for PDE Modeling
Johannes Brandstetter
Rianne van den Berg
Max Welling
Jayesh K. Gupta
AI4CE
127
90
0
08 Sep 2022
Bispectral Neural Networks
Bispectral Neural Networks
Sophia Sanborn
Christian Shewmake
Bruno A. Olshausen
Christopher Hillar
80
13
0
07 Sep 2022
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs
Zhengyang Shen
T. Hong
Qi She
Jinwen Ma
Zhouchen Lin
MedIm
45
7
0
07 Aug 2022
GLASS: Global to Local Attention for Scene-Text Spotting
GLASS: Global to Local Attention for Scene-Text Spotting
Roi Ronen
Shahar Tsiper
Oron Anschel
I. Lavi
Amir Markovitz
R. Manmatha
76
44
0
05 Aug 2022
Bessel Equivariant Networks for Inversion of Transmission Effects in
  Multi-Mode Optical Fibres
Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres
Joshua Mitton
S. Mekhail
M. Padgett
Daniele Faccio
Marco Aversa
Roderick Murray-Smith
34
1
0
26 Jul 2022
Quiver neural networks
Quiver neural networks
I. Ganev
Robin Walters
64
4
0
26 Jul 2022
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection
Abhinav Kumar
Garrick Brazil
E. Corona
Armin Parchami
Xiaoming Liu
3DPCMDE
99
61
0
21 Jul 2022
HyperInvariances: Amortizing Invariance Learning
HyperInvariances: Amortizing Invariance Learning
Ruchika Chavhan
Henry Gouk
Jan Stuhmer
Timothy M. Hospedales
27
0
0
17 Jul 2022
BOSS: Bottom-up Cross-modal Semantic Composition with Hybrid
  Counterfactual Training for Robust Content-based Image Retrieval
BOSS: Bottom-up Cross-modal Semantic Composition with Hybrid Counterfactual Training for Robust Content-based Image Retrieval
Wenqiao Zhang
Jiannan Guo
Meng Li
Haochen Shi
Shengyu Zhang
Juncheng Li
Siliang Tang
Yueting Zhuang
88
6
0
09 Jul 2022
GSCLIP : A Framework for Explaining Distribution Shifts in Natural
  Language
GSCLIP : A Framework for Explaining Distribution Shifts in Natural Language
Zhiying Zhu
Weixin Liang
James Zou
87
9
0
30 Jun 2022
Generalized Permutants and Graph GENEOs
Generalized Permutants and Graph GENEOs
Faraz Ahmad
M. Ferri
Patrizio Frosini
69
4
0
29 Jun 2022
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic
  Graphs
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
Yi-Lun Liao
Tess E. Smidt
194
246
0
23 Jun 2022
Learning Continuous Rotation Canonicalization with Radial Beam Sampling
Learning Continuous Rotation Canonicalization with Radial Beam Sampling
J. Schmidt
Sebastian Stober
63
1
0
21 Jun 2022
Maximum Class Separation as Inductive Bias in One Matrix
Maximum Class Separation as Inductive Bias in One Matrix
Tejaswi Kasarla
Gertjan J. Burghouts
Max van Spengler
Elise van der Pol
Rita Cucchiara
Pascal Mettes
87
22
0
17 Jun 2022
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant
  Networks on Homogeneous Spaces
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces
Yinshuang Xu
Jiahui Lei
Yan Sun
Kostas Daniilidis
88
20
0
16 Jun 2022
E2PN: Efficient SE(3)-Equivariant Point Network
E2PN: Efficient SE(3)-Equivariant Point Network
Minghan Zhu
Maani Ghaffari
W. A. Clark
Huei Peng
3DPC
62
19
0
11 Jun 2022
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons
Serge Assaad
Carlton Downey
Rami Al-Rfou
Nigamaa Nayakanti
Benjamin Sapp
71
20
0
08 Jun 2022
Learning with Capsules: A Survey
Learning with Capsules: A Survey
Fabio De Sousa Ribeiro
Kevin Duarte
Miles Everett
Georgios Leontidis
M. Shah
3DPCMedIm
113
20
0
06 Jun 2022
Learning Instance-Specific Augmentations by Capturing Local Invariances
Learning Instance-Specific Augmentations by Capturing Local Invariances
Ning Miao
Tom Rainforth
Emile Mathieu
Yann Dubois
Yee Whye Teh
Adam Foster
Hyunjik Kim
113
12
0
31 May 2022
Robust (Controlled) Table-to-Text Generation with Structure-Aware
  Equivariance Learning
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning
Fei Wang
Zhewei Xu
Pedro A. Szekely
Muhao Chen
LMTD
96
48
0
08 May 2022
Probabilistic Symmetry for Multi-Agent Dynamics
Probabilistic Symmetry for Multi-Agent Dynamics
S. Sun
Robin Walters
Jinxi Li
Rose Yu
87
1
0
04 May 2022
Design equivariant neural networks for 3D point cloud
Design equivariant neural networks for 3D point cloud
Thuan Trang
Thieu N. Vo
K. Nguyen
3DPC
53
0
0
02 May 2022
Rotationally Equivariant 3D Object Detection
Rotationally Equivariant 3D Object Detection
Hong-Xing Yu
Jiajun Wu
Li Yi
3DPC
83
29
0
28 Apr 2022
Learning Symmetric Embeddings for Equivariant World Models
Learning Symmetric Embeddings for Equivariant World Models
Jung Yeon Park
Ondrej Biza
Linfeng Zhao
Jan-Willem van de Meent
Robin Walters
105
45
0
24 Apr 2022
Scale-Equivariant Unrolled Neural Networks for Data-Efficient
  Accelerated MRI Reconstruction
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction
Beliz Gunel
Arda Sahiner
Arjun D Desai
Akshay S. Chaudhari
S. Vasanawala
Mert Pilanci
John M. Pauly
MedIm
68
8
0
21 Apr 2022
Self-Supervised Equivariant Learning for Oriented Keypoint Detection
Self-Supervised Equivariant Learning for Oriented Keypoint Detection
Jongmin Lee
Byung-soo Kim
Minsu Cho
3DPC
114
37
0
19 Apr 2022
Relaxing Equivariance Constraints with Non-stationary Continuous Filters
Relaxing Equivariance Constraints with Non-stationary Continuous Filters
Tycho F. A. van der Ouderaa
David W. Romero
Mark van der Wilk
88
37
0
14 Apr 2022
3D Equivariant Graph Implicit Functions
3D Equivariant Graph Implicit Functions
Yunlu Chen
Basura Fernando
Hakan Bilen
Matthias Nießner
E. Gavves
3DPC
86
25
0
31 Mar 2022
Reflection and Rotation Symmetry Detection via Equivariant Learning
Reflection and Rotation Symmetry Detection via Equivariant Learning
Ahyun Seo
Byungjin Kim
Suha Kwak
Minsu Cho
71
15
0
31 Mar 2022
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