Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1612.04642
Cited By
v1
v2 (latest)
Harmonic Networks: Deep Translation and Rotation Equivariance
14 December 2016
Daniel E. Worrall
Stephan J. Garbin
Daniyar Turmukhambetov
Gabriel J. Brostow
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Harmonic Networks: Deep Translation and Rotation Equivariance"
50 / 432 papers shown
Learning Rotation-Equivariant Features for Visual Correspondence
Computer Vision and Pattern Recognition (CVPR), 2023
Jongmin Lee
Byung-soo Kim
Seungwook Kim
Minsu Cho
SSL
204
36
0
25 Mar 2023
GNN-Assisted Phase Space Integration with Application to Atomistics
Shashank Saxena
Jan-Hendrik Bastek
Miguel Spinola
Prateek Gupta
D. Kochmann
102
5
0
20 Mar 2023
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning
Computer Vision and Pattern Recognition (CVPR), 2023
Chenxin Xu
R. Tan
Yuhong Tan
Siheng Chen
Yu Wang
Xinchao Wang
Yanfeng Wang
299
157
0
20 Mar 2023
Self-Supervised Learning for Group Equivariant Neural Networks
Yusuke Mukuta
Tatsuya Harada
SSL
203
0
0
08 Mar 2023
On the Implicit Bias of Linear Equivariant Steerable Networks
Neural Information Processing Systems (NeurIPS), 2023
Ziyu Chen
Wei-wei Zhu
257
4
0
07 Mar 2023
Single-photon Image Super-resolution via Self-supervised Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Yiwei Chen
Chenbo Jiang
Yu Pan
154
2
0
03 Mar 2023
Deep Neural Networks with Efficient Guaranteed Invariances
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
M. Rath
Alexandru Paul Condurache
223
5
0
02 Mar 2023
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution
International Conference on Learning Representations (ICLR), 2023
Zikai Sun
T. Blu
158
8
0
01 Mar 2023
Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey
Artificial Intelligence Review (AIR), 2023
Kunlin Wang
Zi Wang
Zhang Li
Ang Su
Xichao Teng
Minhao Liu
Qifeng Yu
Qifeng Yu
ObjD
673
28
0
21 Feb 2023
Random Padding Data Augmentation
Australasian Data Mining Conference (AusDM), 2023
Nan Yang
Laicheng Zhong
Fan Huang
Dong Yuan
Wei Bao
135
3
0
17 Feb 2023
Lorentz Equivariant Model for Knowledge-Enhanced Hyperbolic Collaborative Filtering
Knowledge-Based Systems (KBS), 2023
Bosong Huang
Weihao Yu
Ruzhong Xie
Jing Xiao
Jin Huang
215
4
0
09 Feb 2023
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs
International Conference on Machine Learning (ICML), 2023
Saro Passaro
C. L. Zitnick
3DPC
336
131
0
07 Feb 2023
CIPER: Combining Invariant and Equivariant Representations Using Contrastive and Predictive Learning
International Conference on Artificial Neural Networks (ICANN), 2023
Xia Xu
Jochen Triesch
SSL
205
2
0
05 Feb 2023
Modelling Long Range Dependencies in
N
N
N
D: From Task-Specific to a General Purpose CNN
International Conference on Learning Representations (ICLR), 2023
David M. Knigge
David W. Romero
Albert Gu
E. Gavves
Erik J. Bekkers
Jakub M. Tomczak
Mark Hoogendoorn
Jan-Jakob Sonke
3DV
214
28
0
25 Jan 2023
Equivariant and Steerable Neural Networks: A review with special emphasis on the symmetric group
Patrick Krüger
Hanno Gottschalk
184
2
0
08 Jan 2023
Equivariant Light Field Convolution and Transformer
Yinshuang Xu
Jiahui Lei
Kostas Daniilidis
ViT
240
1
0
30 Dec 2022
Image Classification with Small Datasets: Overview and Benchmark
IEEE Access (IEEE Access), 2022
Lorenzo Brigato
Björn Barz
Luca Iocchi
Joachim Denzler
VLM
196
26
0
23 Dec 2022
VC dimensions of group convolutional neural networks
Neural Networks (NN), 2022
P. Petersen
A. Sepliarskaia
VLM
187
9
0
19 Dec 2022
Implicit Convolutional Kernels for Steerable CNNs
Neural Information Processing Systems (NeurIPS), 2022
Maksim Zhdanov
Nico Hoffmann
Gabriele Cesa
385
11
0
12 Dec 2022
RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network
Pattern Recognition (Pattern Recogn.), 2022
Hanlin Mo
Guoying Zhao
171
51
0
21 Nov 2022
Learning unfolded networks with a cyclic group structure
Emmanouil Theodosis
Demba E. Ba
123
0
0
16 Nov 2022
Homomorphic Self-Supervised Learning
Thomas Anderson Keller
Xavier Suau
Luca Zappella
SSL
200
3
0
15 Nov 2022
Equivariant Networks for Crystal Structures
Neural Information Processing Systems (NeurIPS), 2022
Sekouba Kaba
Siamak Ravanbakhsh
AI4CE
264
30
0
15 Nov 2022
Moving Frame Net: SE(3)-Equivariant Network for Volumes
Mateus Sangalli
S. Blusseau
Santiago Velasco-Forero
Jesús Angulo
228
8
0
07 Nov 2022
A PAC-Bayesian Generalization Bound for Equivariant Networks
Neural Information Processing Systems (NeurIPS), 2022
Arash Behboodi
Gabriele Cesa
Taco S. Cohen
180
19
0
24 Oct 2022
Equivariant Networks for Zero-Shot Coordination
Neural Information Processing Systems (NeurIPS), 2022
Darius Muglich
Christian Schroeder de Witt
Elise van der Pol
Shimon Whiteson
Jakob N. Foerster
311
19
0
21 Oct 2022
LieGG: Studying Learned Lie Group Generators
Neural Information Processing Systems (NeurIPS), 2022
A. Moskalev
A. Sepliarskaia
Ivan Sosnovik
A. Smeulders
322
33
0
09 Oct 2022
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?
Neural Information Processing Systems (NeurIPS), 2022
Henry Kvinge
Tegan H. Emerson
Grayson Jorgenson
Scott Vasquez
T. Doster
Jesse D. Lew
197
12
0
07 Oct 2022
The Lie Derivative for Measuring Learned Equivariance
International Conference on Learning Representations (ICLR), 2022
Nate Gruver
Marc Finzi
Micah Goldblum
A. Wilson
283
52
0
06 Oct 2022
Analysis of (sub-)Riemannian PDE-G-CNNs
Journal of Mathematical Imaging and Vision (JMIV), 2022
Gijs Bellaard
Daan Bon
Gautam Pai
B. Smets
R. Duits
AI4CE
331
16
0
03 Oct 2022
Learning Equivariant Segmentation with Instance-Unique Querying
Neural Information Processing Systems (NeurIPS), 2022
Wenguan Wang
James Liang
Dongfang Liu
ISeg
318
94
0
03 Oct 2022
A Simple Strategy to Provable Invariance via Orbit Mapping
Asian Conference on Computer Vision (ACCV), 2022
Kanchana Vaishnavi Gandikota
Jonas Geiping
Zorah Lähner
Adam Czapliñski
Michael Moeller
AAML
3DPC
234
4
0
24 Sep 2022
Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal Moments
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Jaspreet Singh
Chandan Singh
112
6
0
22 Sep 2022
Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation
Neural Information Processing Systems (NeurIPS), 2022
Jinlong Li
Zequn Jie
Xu Wang
Xiaolin K. Wei
Lin Ma
WSOL
362
72
0
16 Sep 2022
Clifford Neural Layers for PDE Modeling
International Conference on Learning Representations (ICLR), 2022
Johannes Brandstetter
Rianne van den Berg
Max Welling
Jayesh K. Gupta
AI4CE
302
112
0
08 Sep 2022
Bispectral Neural Networks
International Conference on Learning Representations (ICLR), 2022
Sophia Sanborn
Christian Shewmake
Bruno A. Olshausen
Christopher Hillar
277
16
0
07 Sep 2022
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs
International Conference on Machine Learning (ICML), 2022
Zhengyang Shen
T. Hong
Qi She
Jinwen Ma
Zhouchen Lin
MedIm
151
8
0
07 Aug 2022
GLASS: Global to Local Attention for Scene-Text Spotting
European Conference on Computer Vision (ECCV), 2022
Roi Ronen
Shahar Tsiper
Oron Anschel
I. Lavi
Amir Markovitz
R. Manmatha
179
52
0
05 Aug 2022
Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres
Neural Information Processing Systems (NeurIPS), 2022
Joshua Mitton
S. Mekhail
M. Padgett
Daniele Faccio
Marco Aversa
Roderick Murray-Smith
173
3
0
26 Jul 2022
Quiver neural networks
I. Ganev
Robin Walters
144
4
0
26 Jul 2022
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection
European Conference on Computer Vision (ECCV), 2022
Abhinav Kumar
Garrick Brazil
E. Corona
Armin Parchami
Xiaoming Liu
3DPC
MDE
233
73
0
21 Jul 2022
HyperInvariances: Amortizing Invariance Learning
Ruchika Chavhan
Henry Gouk
Jan Stuhmer
Timothy M. Hospedales
156
0
0
17 Jul 2022
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
225
6
0
09 Jul 2022
GSCLIP : A Framework for Explaining Distribution Shifts in Natural Language
Zhiying Zhu
Weixin Liang
James Zou
142
11
0
30 Jun 2022
Generalized Permutants and Graph GENEOs
Machine Learning and Knowledge Extraction (MLKE), 2022
Faraz Ahmad
M. Ferri
Patrizio Frosini
261
7
0
29 Jun 2022
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
International Conference on Learning Representations (ICLR), 2022
Yi-Lun Liao
Tess E. Smidt
360
324
0
23 Jun 2022
Learning Continuous Rotation Canonicalization with Radial Beam Sampling
J. Schmidt
Sebastian Stober
236
4
0
21 Jun 2022
Maximum Class Separation as Inductive Bias in One Matrix
Neural Information Processing Systems (NeurIPS), 2022
Tejaswi Kasarla
Gertjan J. Burghouts
Max van Spengler
Elise van der Pol
Rita Cucchiara
Pascal Mettes
276
26
0
17 Jun 2022
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces
International Conference on Machine Learning (ICML), 2022
Yinshuang Xu
Jiahui Lei
Guang Cheng
Kostas Daniilidis
313
23
0
16 Jun 2022
E2PN: Efficient SE(3)-Equivariant Point Network
Computer Vision and Pattern Recognition (CVPR), 2022
Minghan Zhu
Maani Ghaffari
W. A. Clark
Huei Peng
3DPC
253
24
0
11 Jun 2022
Previous
1
2
3
4
5
6
7
8
9
Next
