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
RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network Hanlin Mo Guoying Zhao 22 30 0 21 Nov 2022
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Equivariant Networks for Crystal Structures Sekouba Kaba Siamak Ravanbakhsh AI4CE 48 23 0 15 Nov 2022
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A PAC-Bayesian Generalization Bound for Equivariant Networks Arash Behboodi Gabriele Cesa Taco S. Cohen 56 17 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 53 13 0 21 Oct 2022
LieGG: Studying Learned Lie Group Generators A. Moskalev A. Sepliarskaia Ivan Sosnovik A. Smeulders 28 22 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 51 8 0 07 Oct 2022
The Lie Derivative for Measuring Learned Equivariance Nate Gruver Marc Finzi Micah Goldblum A. Wilson 18 35 0 06 Oct 2022
Analysis of (sub-)Riemannian PDE-G-CNNs Gijs Bellaard Daan Bon Gautam Pai B. Smets R. Duits AI4CE 32 12 0 03 Oct 2022
Learning Equivariant Segmentation with Instance-Unique Querying Wenguan Wang James Liang Dongfang Liu ISeg 43 48 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 18 3 0 24 Sep 2022
Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal Moments Jaspreet Singh Chandan Singh 27 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 35 47 0 16 Sep 2022
Clifford Neural Layers for PDE Modeling Johannes Brandstetter Rianne van den Berg Max Welling Jayesh K. Gupta AI4CE 62 81 0 08 Sep 2022
Bispectral Neural Networks Sophia Sanborn Christian Shewmake Bruno A. Olshausen Christopher Hillar 37 12 0 07 Sep 2022
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs Zhengyang Shen T. Hong Qi She Jinwen Ma Zhouchen Lin MedIm 13 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 21 42 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 13 1 0 26 Jul 2022
Quiver neural networks I. Ganev Robin Walters 39 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 26 61 0 21 Jul 2022
HyperInvariances: Amortizing Invariance Learning Ruchika Chavhan Henry Gouk Jan Stuhmer Timothy M. Hospedales 21 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 55 6 0 09 Jul 2022
GSCLIP : A Framework for Explaining Distribution Shifts in Natural Language Zhiying Zhu Weixin Liang James Zou 39 9 0 30 Jun 2022
Generalized Permutants and Graph GENEOs Faraz Ahmad M. Ferri Patrizio Frosini 40 4 0 29 Jun 2022
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs Yi-Lun Liao Tess E. Smidt 87 216 0 23 Jun 2022
Learning Continuous Rotation Canonicalization with Radial Beam Sampling J. Schmidt Sebastian Stober 35 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 26 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 28 19 0 16 Jun 2022
E2PN: Efficient SE(3)-Equivariant Point Network Minghan Zhu Maani Ghaffari W. A. Clark Huei Peng 3DPC 27 18 0 11 Jun 2022
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons Serge Assaad Carlton Downey Rami Al-Rfou Nigamaa Nayakanti Benjamin Sapp 38 18 0 08 Jun 2022
Learning with Capsules: A Survey Fabio De Sousa Ribeiro Kevin Duarte Miles Everett Georgios Leontidis M. Shah 3DPC MedIm 29 19 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 40 10 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 25 47 0 08 May 2022
Probabilistic Symmetry for Multi-Agent Dynamics S. Sun Robin Walters Jinxi Li Rose Yu 16 1 0 04 May 2022
Design equivariant neural networks for 3D point cloud Thuan Trang Thieu N. Vo K. Nguyen 3DPC 27 0 0 02 May 2022
Rotationally Equivariant 3D Object Detection Hong-Xing Yu Jiajun Wu Li Yi 3DPC 22 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 31 42 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 22 7 0 21 Apr 2022
Self-Supervised Equivariant Learning for Oriented Keypoint Detection Jongmin Lee Byung-soo Kim Minsu Cho 3DPC 32 35 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 24 32 0 14 Apr 2022
3D Equivariant Graph Implicit Functions Yunlu Chen Basura Fernando Hakan Bilen Matthias Nießner E. Gavves 3DPC 27 23 0 31 Mar 2022
Reflection and Rotation Symmetry Detection via Equivariant Learning Ahyun Seo Byungjin Kim Suha Kwak Minsu Cho 32 15 0 31 Mar 2022
Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image Matching Yujiao Shi Xin Yu Liu Liu Dylan Campbell Piotr Koniusz Hongdong Li 19 44 0 26 Mar 2022
TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing Jie Chen Tianlang He Weipeng Zhuo Li Ma Sangtae Ha Shueng-Han Gary Chan CVBM 21 24 0 20 Mar 2022
Euclidean Invariant Recognition of 2D Shapes Using Histograms of Magnitudes of Local Fourier-Mellin Descriptors Xinhua Zhang L. Williams 6 1 0 13 Mar 2022
Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization Sam Buchanan Jingkai Yan Ellie Haber John N. Wright 20 3 0 09 Mar 2022
Equilibrium Aggregation: Encoding Sets via Optimization Sergey Bartunov F. Fuchs Timothy Lillicrap 32 7 0 25 Feb 2022
Learning Invariant Weights in Neural Networks Tycho F. A. van der Ouderaa Mark van der Wilk 29 21 0 25 Feb 2022