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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Spherical Convolutional Neural Networks: Stability to Perturbations in SO(3) Zhan Gao Fernando Gama Alejandro Ribeiro AAML MLT 26 0 0 12 Oct 2020
Simplicial Neural Networks Stefania Ebli M. Defferrard Gard Spreemann GNN 14 124 0 07 Oct 2020
Group Equivariant Stand-Alone Self-Attention For Vision David W. Romero Jean-Baptiste Cordonnier MDE 26 57 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 34 2 0 02 Oct 2020
Rotated Ring, Radial and Depth Wise Separable Radial Convolutions Wolfgang Fuhl Enkelejda Kasneci 6 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 17 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 18 6 0 02 Sep 2020
Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network Shuqiang Wang Zhuo Chen Wen Yu Baiying Lei GAN MedIm 17 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 25 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 10 9 0 07 Aug 2020
Importance of Self-Consistency in Active Learning for Semantic Segmentation S. Golestaneh Kris Kitani SSL 24 36 0 04 Aug 2020
Time-Reversal Symmetric ODE Network In Huh Eunho Yang Sung Ju Hwang Jinwoo Shin 22 19 0 22 Jul 2020
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution Layers Jinpyo Kim Wookeun Jung Hyungmo Kim Jaejin Lee 11 31 0 21 Jul 2020
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions Zhengyang Shen Lingshen He Zhouchen Lin Jinwen Ma 9 44 0 20 Jul 2020
Scale Equivariance Improves Siamese Tracking Ivan Sosnovik A. Moskalev A. Smeulders 17 79 0 17 Jul 2020
Group Invariant Dictionary Learning Yong Sheng Soh 17 8 0 15 Jul 2020
Meta-Learning Symmetries by Reparameterization Allan Zhou Tom Knowles Chelsea Finn OOD 24 90 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 31 155 0 30 Jun 2020
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey M. Rath A. P. Condurache ViT AI4CE 35 9 0 30 Jun 2020
Tackling Occlusion in Siamese Tracking with Structured Dropouts D. K. Gupta E. Gavves A. Smeulders 22 8 0 30 Jun 2020
Spin-Weighted Spherical CNNs Carlos Esteves A. Makadia Kostas Daniilidis 30 69 0 18 Jun 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 45 666 0 18 Jun 2020
AlgebraNets Jordan Hoffmann Simon Schmitt Simon Osindero Karen Simonyan Erich Elsen MoE 10 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 29 136 0 08 Jun 2020
On Universalized Adversarial and Invariant Perturbations Sandesh Kamath Amit Deshpande K. Subrahmanyam AAML 27 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 15 44 0 05 Jun 2020
Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning Aditya Sanghi 3DPC SSL 11 101 0 04 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features R. Wiersma E. Eisemann Klaus Hildebrandt 28 69 0 02 Jun 2020
Computing Representations for Lie Algebraic Networks N. Shutty Casimir Wierzynski 21 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 43 42 0 20 May 2020
3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis Valentin Oreiller Vincent Andrearczyk Julien Fageot John O. Prior Adrien Depeursinge 19 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 32 18 0 21 Apr 2020
Invariant Integration in Deep Convolutional Feature Space M. Rath A. P. Condurache MDE 10 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 32 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 24 87 0 06 Apr 2020
Local Rotation Invariance in 3D CNNs Vincent Andrearczyk Julien Fageot Valentin Oreiller X. Montet Adrien Depeursinge 40 23 0 19 Mar 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan Jan van Gemert 211 232 0 16 Mar 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 102 127 0 11 Mar 2020
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions Elise van der Pol Thomas Kipf F. Oliehoek Max Welling 9 76 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 33 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 30 316 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 16 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 27 74 0 20 Feb 2020
On Learning Sets of Symmetric Elements Haggai Maron Or Litany Gal Chechik Ethan Fetaya 30 132 0 20 Feb 2020
REST: Performance Improvement of a Black Box Model via RL-based Spatial Transformation Jae Myung Kim Hyungjin Kim Chanwoo Park Jungwook Lee OOD 8 0 0 16 Feb 2020
Recurrent Attention Model with Log-Polar Mapping is Robust against Adversarial Attacks Taro Kiritani Koji Ono AAML 13 3 0 13 Feb 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin Walters Rose Yu AI4CE 52 168 0 08 Feb 2020
Universal Equivariant Multilayer Perceptrons Siamak Ravanbakhsh 107 48 0 07 Feb 2020
Attentive Group Equivariant Convolutional Networks David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 22 89 0 07 Feb 2020
PDE-based Group Equivariant Convolutional Neural Networks B. Smets J. Portegies Erik J. Bekkers R. Duits AI4CE 19 53 0 24 Jan 2020