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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
Quantifying and Learning Linear Symmetry-Based Disentanglement Loek Tonnaer L. Rey Vlado Menkovski Mike Holenderski J. Portegies FedML CoGe DRL 70 14 0 11 Nov 2020
Latent Causal Invariant Model Xinwei Sun Botong Wu Xiangyu Zheng Chang-Shu Liu Wei Chen Tao Qin Tie-Yan Liu OOD CML BDL 101 14 0 04 Nov 2020
Learning Invariances in Neural Networks Gregory W. Benton Marc Finzi Pavel Izmailov A. Wilson 94 70 0 22 Oct 2020
Trajectory Prediction using Equivariant Continuous Convolution Robin Walters Jinxi Li Rose Yu 82 44 0 21 Oct 2020
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels Leon Lang Maurice Weiler 121 56 0 21 Oct 2020
Probabilistic Numeric Convolutional Neural Networks Marc Finzi Roberto Bondesan Max Welling BDL AI4TS 84 13 0 21 Oct 2020
Spherical Convolutional Neural Networks: Stability to Perturbations in SO(3) Zhan Gao Fernando Gama Alejandro Ribeiro AAML MLT 42 0 0 12 Oct 2020
Simplicial Neural Networks Stefania Ebli M. Defferrard Gard Spreemann GNN 93 131 0 07 Oct 2020
Group Equivariant Stand-Alone Self-Attention For Vision David W. Romero Jean-Baptiste Cordonnier MDE 163 60 0 02 Oct 2020
RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval Rao Fu Jie Yang Jiawei Sun Fang-Lue Zhang Yu-kun Lai Lin Gao 3DV 3DPC 3DH 86 3 0 02 Oct 2020
Rotated Ring, Radial and Depth Wise Separable Radial Convolutions Wolfgang Fuhl Enkelejda Kasneci 61 14 0 02 Oct 2020
DV-ConvNet: Fully Convolutional Deep Learning on Point Clouds with Dynamic Voxelization and 3D Group Convolution Zhaoyu Su P. S. Tan J. Chow Jimmy Wu Yehur Cheong Yu-Hsing Wang 3DPC 38 2 0 07 Sep 2020
Robust Object Classification Approach using Spherical Harmonics Ayman Mukhaimar Ruwan Tennakoon Chow Yin Lai R. Hoseinnezhad A. Bab-Hadiashar 3DPC 64 7 0 02 Sep 2020
Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network Shuqiang Wang Zhuo Chen Wen Yu Baiying Lei GAN MedIm 93 61 0 30 Aug 2020
Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI C. Russo Sidong Liu A. Di Ieva 105 22 0 17 Aug 2020
On the finite representation of group equivariant operators via permutant measures Giovanni Bocchi S. Botteghi Martina Brasini Patrizio Frosini Nicola Quercioli 34 9 0 07 Aug 2020
Importance of Self-Consistency in Active Learning for Semantic Segmentation S. Golestaneh Kris Kitani SSL 54 36 0 04 Aug 2020
Time-Reversal Symmetric ODE Network In Huh Eunho Yang Sung Ju Hwang Jinwoo Shin 100 20 0 22 Jul 2020
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution Layers Jinpyo Kim Wookeun Jung Hyungmo Kim Jaejin Lee 56 31 0 21 Jul 2020
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions Zhengyang Shen Lingshen He Zhouchen Lin Jinwen Ma 97 47 0 20 Jul 2020
Scale Equivariance Improves Siamese Tracking Ivan Sosnovik A. Moskalev A. Smeulders 52 79 0 17 Jul 2020
Group Invariant Dictionary Learning Yong Sheng Soh 58 9 0 15 Jul 2020
Meta-Learning Symmetries by Reparameterization Allan Zhou Tom Knowles Chelsea Finn OOD 91 96 0 06 Jul 2020
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning Elise van der Pol Daniel E. Worrall H. V. Hoof F. Oliehoek Max Welling BDL AI4CE 104 163 0 30 Jun 2020
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey M. Rath Alexandru Paul Condurache ViT AI4CE 114 9 0 30 Jun 2020
Tackling Occlusion in Siamese Tracking with Structured Dropouts D. K. Gupta E. Gavves A. Smeulders 69 8 0 30 Jun 2020
Spin-Weighted Spherical CNNs Carlos Esteves A. Makadia Kostas Daniilidis 102 70 0 18 Jun 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 176 699 0 18 Jun 2020
AlgebraNets Jordan Hoffmann Simon Schmitt Simon Osindero Karen Simonyan Erich Elsen MoE 182 6 0 12 Jun 2020
Lorentz Group Equivariant Neural Network for Particle Physics A. Bogatskiy Brandon M. Anderson Jan T. Offermann M. Roussi David W. Miller Risi Kondor AI4CE 72 141 0 08 Jun 2020
On Universalized Adversarial and Invariant Perturbations Sandesh Kamath Amit Deshpande K. Subrahmanyam AAML 31 0 0 08 Jun 2020
Structure preserving deep learning E. Celledoni Matthias Joachim Ehrhardt Christian Etmann R. McLachlan B. Owren Carola-Bibiane Schönlieb Ferdia Sherry AI4CE 122 44 0 05 Jun 2020
Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning Aditya Sanghi 3DPC SSL 70 103 0 04 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features R. Wiersma E. Eisemann Klaus Hildebrandt 127 69 0 02 Jun 2020
Computing Representations for Lie Algebraic Networks N. Shutty Casimir Wierzynski 59 2 0 01 Jun 2020
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data Alexander Robey Hamed Hassani George J. Pappas OOD 103 43 0 20 May 2020
3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis Valentin Oreiller Vincent Andrearczyk Julien Fageot John O. Prior Adrien Depeursinge 22 1 0 28 Apr 2020
A Data and Compute Efficient Design for Limited-Resources Deep Learning Mirgahney Mohamed Gabriele Cesa Taco S. Cohen Max Welling MedIm 93 18 0 21 Apr 2020
Invariant Integration in Deep Convolutional Feature Space M. Rath Alexandru Paul Condurache MDE 49 6 0 20 Apr 2020
The general theory of permutation equivarant neural networks and higher order graph variational encoders Erik H. Thiede Truong-Son Hy Risi Kondor 63 35 0 08 Apr 2020
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images S. Graham David B. A. Epstein Nasir M. Rajpoot 109 89 0 06 Apr 2020
Local Rotation Invariance in 3D CNNs Vincent Andrearczyk Julien Fageot Valentin Oreiller X. Montet Adrien Depeursinge 82 23 0 19 Mar 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan Jan van Gemert 341 237 0 16 Mar 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 164 130 0 11 Mar 2020
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions Elise van der Pol Thomas Kipf F. Oliehoek Max Welling 76 80 0 27 Feb 2020
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks Sandesh Kamath Amit Deshpande Subrahmanyam Kambhampati Venkata V. Balasubramanian 88 12 0 26 Feb 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 138 324 0 25 Feb 2020
Set2Graph: Learning Graphs From Sets Hadar Serviansky Nimrod Segol Jonathan Shlomi Kyle Cranmer Eilam Gross Haggai Maron Y. Lipman PINN GNN 142 35 0 20 Feb 2020
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis Maxime W. Lafarge Erik J. Bekkers J. Pluim R. Duits M. Veta MedIm 152 75 0 20 Feb 2020
On Learning Sets of Symmetric Elements Haggai Maron Or Litany Gal Chechik Ethan Fetaya 96 137 0 20 Feb 2020