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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"

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Title
Modelling Long Range Dependencies in $N$ D: 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 Patrick Krüger Hanno Gottschalk 67 1 0 08 Jan 2023
Equivariant Light Field Convolution and Transformer Yinshuang Xu Jiahui Lei Kostas Daniilidis ViT 48 0 0 30 Dec 2022
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 P. Petersen A. Sepliarskaia VLM 55 7 0 19 Dec 2022
Implicit Convolutional Kernels for Steerable CNNs Maksim Zhdanov Nico Hoffmann Gabriele Cesa 153 7 0 12 Dec 2022
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 Emmanouil Theodosis Demba E. Ba 43 0 0 16 Nov 2022
Homomorphic Self-Supervised Learning Thomas Anderson Keller Xavier Suau Luca Zappella SSL 68 2 0 15 Nov 2022
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 Mateus Sangalli S. Blusseau Santiago Velasco-Forero Jesús Angulo 117 7 0 07 Nov 2022
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 Darius Muglich Christian Schroeder de Witt Elise van der Pol Shimon Whiteson Jakob N. Foerster 111 14 0 21 Oct 2022
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? 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 Nate Gruver Marc Finzi Micah Goldblum A. Wilson 99 40 0 06 Oct 2022
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 Wenguan Wang James Liang Dongfang Liu ISeg 95 49 0 03 Oct 2022
A Simple Strategy to Provable Invariance via Orbit Mapping Kanchana Vaishnavi Gandikota Jonas Geiping Zorah Lähner Adam Czapliñski Michael Moeller AAML 3DPC 67 3 0 24 Sep 2022
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 Jinlong Li Zequn Jie Xu Wang Xiaolin K. Wei Lin Ma WSOL 150 50 0 16 Sep 2022
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 Sophia Sanborn Christian Shewmake Bruno A. Olshausen Christopher Hillar 80 13 0 07 Sep 2022
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 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 Joshua Mitton S. Mekhail M. Padgett Daniele Faccio Marco Aversa Roderick Murray-Smith 34 1 0 26 Jul 2022
Quiver neural networks I. Ganev Robin Walters 64 4 0 26 Jul 2022
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection Abhinav Kumar Garrick Brazil E. Corona Armin Parchami Xiaoming Liu 3DPC MDE 99 61 0 21 Jul 2022
HyperInvariances: Amortizing Invariance Learning Ruchika Chavhan Henry Gouk Jan Stuhmer Timothy M. Hospedales 32 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 88 6 0 09 Jul 2022
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 Faraz Ahmad M. Ferri Patrizio Frosini 69 4 0 29 Jun 2022
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs Yi-Lun Liao Tess E. Smidt 197 246 0 23 Jun 2022
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 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 Yinshuang Xu Jiahui Lei Yan Sun Kostas Daniilidis 88 20 0 16 Jun 2022
E2PN: Efficient SE(3)-Equivariant Point Network Minghan Zhu Maani Ghaffari W. A. Clark Huei Peng 3DPC 64 19 0 11 Jun 2022
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 Fabio De Sousa Ribeiro Kevin Duarte Miles Everett Georgios Leontidis M. Shah 3DPC MedIm 113 20 0 06 Jun 2022
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 Fei Wang Zhewei Xu Pedro A. Szekely Muhao Chen LMTD 96 48 0 08 May 2022
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 Thuan Trang Thieu N. Vo K. Nguyen 3DPC 53 0 0 02 May 2022
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 Jung Yeon Park Ondrej Biza Linfeng Zhao Jan-Willem van de Meent Robin Walters 107 45 0 24 Apr 2022
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 Jongmin Lee Byung-soo Kim Minsu Cho 3DPC 114 37 0 19 Apr 2022
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 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 Ahyun Seo Byungjin Kim Suha Kwak Minsu Cho 71 15 0 31 Mar 2022