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Harmonic Networks: Deep Translation and Rotation Equivariance
14 December 2016
Daniel E. Worrall
Stephan J. Garbin
Daniyar Turmukhambetov
Gabriel J. Brostow
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Papers citing
"Harmonic Networks: Deep Translation and Rotation Equivariance"
50 / 432 papers shown
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
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06 Oct 2021
Quantum algorithms for group convolution, cross-correlation, and equivariant transformations
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Quynh T. Nguyen
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155
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23 Sep 2021
Automatic Symmetry Discovery with Lie Algebra Convolutional Network
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Robin Walters
Yanchen Liu
Dashun Wang
Rose Yu
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A trainable monogenic ConvNet layer robust in front of large contrast changes in image classification
Eduardo Ulises Moya-Sánchez
S. Xambó-Descamps
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Sebastián Salazar-Colores
Ulises Cortés
134
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0
14 Sep 2021
Nonlinearities in Steerable SO(2)-Equivariant CNNs
Daniel Franzen
Michael Wand
193
3
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14 Sep 2021
Occlusion-Invariant Rotation-Equivariant Semi-Supervised Depth Based Cross-View Gait Pose Estimation
Xiao Gu
Jianxin Yang
Hanxiao Zhang
Jianing Qiu
Frank P.-W. Lo
Yao Guo
Guang-Zhong Yang
Benny Lo
3DH
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0
03 Sep 2021
Topographic VAEs learn Equivariant Capsules
Thomas Anderson Keller
Max Welling
BDL
248
46
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03 Sep 2021
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors
ACM Multimedia (ACM MM), 2021
Haiping Wang
Yuan Liu
Zhen Dong
Wenping Wang
3DPC
251
164
0
01 Sep 2021
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods
Research in the Mathematical Sciences (Res. Math. Sci.), 2021
Tobias Alt
Karl Schrader
Joachim Weickert
Pascal Peter
M. Augustin
281
4
0
31 Aug 2021
Convolutional Filtering and Neural Networks with Non Commutative Algebras
IEEE Transactions on Signal Processing (IEEE TSP), 2021
Alejandro Parada-Mayorga
Landon Butler
Alejandro Ribeiro
263
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0
23 Aug 2021
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency
S. Golestaneh
Saba Dadsetan
Kris Kitani
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245
358
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16 Aug 2021
Towards Understanding Theoretical Advantages of Complex-Reaction Networks
Shao-Qun Zhang
Gaoxin Wei
Zhi Zhou
226
20
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15 Aug 2021
Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Qi Xie
Qian Zhao
Zongben Xu
Deyu Meng
235
26
0
30 Jul 2021
Circular-Symmetric Correlation Layer based on FFT
Bahar Azari
Deniz Erdogmus
125
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26 Jul 2021
6DCNN with roto-translational convolution filters for volumetric data processing
AAAI Conference on Artificial Intelligence (AAAI), 2021
Dmitrii Zhemchuzhnikov
Ilia Igashov
Sergei Grudinin
3DPC
284
3
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26 Jul 2021
Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning
Minh Nguyen
A. Roy
Haoran Zhang
BDL
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179
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25 Jul 2021
Geometric Data Augmentation Based on Feature Map Ensemble
International Conference on Information Photonics (ICIP), 2021
Takashi Shibata
Masayuki Tanaka
Masatoshi Okutomi
126
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22 Jul 2021
Parametric Scattering Networks
Computer Vision and Pattern Recognition (CVPR), 2021
Shanel Gauthier
Benjamin Thérien
Laurent Alsene-Racicot
Muawiz Chaudhary
Irina Rish
Eugene Belilovsky
Michael Eickenberg
Guy Wolf
410
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0
20 Jul 2021
PICASO: Permutation-Invariant Cascaded Attentional Set Operator
Samira Zare
H. Nguyen
207
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17 Jul 2021
Universal approximation and model compression for radial neural networks
I. Ganev
Twan van Laarhoven
Robin Walters
300
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06 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey
Rui Wang
Rose Yu
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490
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02 Jul 2021
Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks
Eduardo Fonseca
Andrés Ferraro
Xavier Serra
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256
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01 Jul 2021
Alias-Free Generative Adversarial Networks
Tero Karras
M. Aittala
S. Laine
Erik Härkönen
Janne Hellsten
J. Lehtinen
Timo Aila
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937
1,867
0
23 Jun 2021
Training or Architecture? How to Incorporate Invariance in Neural Networks
Kanchana Vaishnavi Gandikota
Jonas Geiping
Zorah Lähner
Adam Czapliñski
Michael Moeller
3DPC
OOD
115
11
0
18 Jun 2021
Equivariance-bridged SO(2)-Invariant Representation Learning using Graph Convolutional Network
British Machine Vision Conference (BMVC), 2021
Sungwon Hwang
Hyungtae Lim
Hyun Myung
156
2
0
18 Jun 2021
Equivariant Networks for Pixelized Spheres
International Conference on Machine Learning (ICML), 2021
Mehran Shakerinava
Siamak Ravanbakhsh
3DPC
218
19
0
12 Jun 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales
Journal of Mathematical Imaging and Vision (JMIV), 2021
Ylva Jansson
T. Lindeberg
206
27
0
11 Jun 2021
Group Equivariant Subsampling
Neural Information Processing Systems (NeurIPS), 2021
Jin Xu
Hyunjik Kim
Tom Rainforth
Yee Whye Teh
166
23
0
10 Jun 2021
Exploiting Learned Symmetries in Group Equivariant Convolutions
International Conference on Information Photonics (ICIP), 2021
A. Lengyel
Jan van Gemert
149
6
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09 Jun 2021
Rotating spiders and reflecting dogs: a class conditional approach to learning data augmentation distributions
Scott Mahan
Henry Kvinge
T. Doster
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96
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07 Jun 2021
Resolution learning in deep convolutional networks using scale-space theory
IEEE Transactions on Image Processing (TIP), 2021
Silvia L.Pintea
Nergis Tomen
Stanley F. Goes
Marco Loog
Jan van Gemert
SupR
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339
40
0
07 Jun 2021
Commutative Lie Group VAE for Disentanglement Learning
International Conference on Machine Learning (ICML), 2021
Xinqi Zhu
Chang Xu
Dacheng Tao
CoGe
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191
32
0
07 Jun 2021
VolterraNet: A higher order convolutional network with group equivariance for homogeneous manifolds
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Monami Banerjee
Rudrasis Chakraborty
Jose J. Bouza
B. Vemuri
94
13
0
05 Jun 2021
DISCO: accurate Discrete Scale Convolutions
British Machine Vision Conference (BMVC), 2021
Ivan Sosnovik
A. Moskalev
A. Smeulders
215
40
0
04 Jun 2021
SE(3)-equivariant prediction of molecular wavefunctions and electronic densities
Neural Information Processing Systems (NeurIPS), 2021
Oliver T. Unke
Mihail Bogojeski
M. Gastegger
Mario Geiger
Tess E. Smidt
Klaus-Robert Muller
204
110
0
04 Jun 2021
Mesh-based graph convolutional neural networks for modeling materials with microstructure
A. Frankel
Cosmin Safta
Coleman Alleman
Reese E. Jones
346
16
0
04 Jun 2021
Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators
Anindita Maiti
Keegan Stoner
James Halverson
167
29
0
01 Jun 2021
Geometric Deep Learning and Equivariant Neural Networks
Artificial Intelligence Review (AIR), 2021
Jan E. Gerken
J. Aronsson
Oscar Carlsson
Hampus Linander
F. Ohlsson
Christoffer Petersson
Daniel Persson
MLT
287
89
0
28 May 2021
Feature Space Targeted Attacks by Statistic Alignment
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Lianli Gao
Yaya Cheng
Qilong Zhang
Xing Xu
Jingkuan Song
AAML
172
35
0
25 May 2021
FILTRA: Rethinking Steerable CNN by Filter Transform
International Conference on Machine Learning (ICML), 2021
Yue Liu
Qili Wang
G. Lee
169
4
0
25 May 2021
Rotation invariant CNN using scattering transform for image classification
International Conference on Information Photonics (ICIP), 2019
Rosemberg Rodriguez
Eva Dokládalová
P. Dokládal
123
18
0
21 May 2021
Deep Permutation Equivariant Structure from Motion
IEEE International Conference on Computer Vision (ICCV), 2021
Dror Moran
Hodaya Koslowsky
Yoni Kasten
Haggai Maron
Meirav Galun
Ronen Basri
3DPC
257
21
0
14 Apr 2021
Autoequivariant Network Search via Group Decomposition
Sourya Basu
A. Magesh
Harshit Yadav
Lav Varshney
213
6
0
10 Apr 2021
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Yanwen Li
Luyang Luo
Huangjing Lin
Hao Chen
Pheng-Ann Heng
151
65
0
07 Apr 2021
Generalization capabilities of translationally equivariant neural networks
S. S. Krishna Chaitanya Bulusu
Matteo Favoni
A. Ipp
David I. Müller
Daniel Schuh
AI4CE
264
23
0
26 Mar 2021
Equivariant Point Network for 3D Point Cloud Analysis
Computer Vision and Pattern Recognition (CVPR), 2021
Haiwei Chen
Shichen Liu
Weikai Chen
Hao Li
3DPC
193
112
0
25 Mar 2021
ReDet: A Rotation-equivariant Detector for Aerial Object Detection
Computer Vision and Pattern Recognition (CVPR), 2021
Jiaming Han
Jian Ding
Nan Xue
Guisong Xia
242
698
0
13 Mar 2021
On the geometric and Riemannian structure of the spaces of group equivariant non-expansive operators
Pasquale Cascarano
Patrizio Frosini
Nicola Quercioli
A. Saki
238
3
0
03 Mar 2021
Abelian Neural Networks
Kenshi Abe
Takanori Maehara
Issei Sato
140
2
0
24 Feb 2021
Equivariant neural networks for inverse problems
Inverse Problems (IP), 2021
E. Celledoni
Matthias Joachim Ehrhardt
Christian Etmann
B. Owren
Carola-Bibiane Schönlieb
Ferdia Sherry
MedIm
AI4CE
174
37
0
23 Feb 2021
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