Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs

11 March 2020

Papers citing "Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs"

39 / 39 papers shown

Title
Steerable Partial Differential Operators for Equivariant Neural Networks Erik Jenner Maurice Weiler 33 28 0 18 Jun 2021
Coordinate Independent Convolutional Networks -- Isometry and Gauge Equivariant Convolutions on Riemannian Manifolds Maurice Weiler Patrick Forré E. Verlinde Max Welling 29 83 0 10 Jun 2021
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels Leon Lang Maurice Weiler 70 56 0 21 Oct 2020
Multipole Graph Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 141 384 0 16 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features R. Wiersma E. Eisemann Klaus Hildebrandt 105 69 0 02 Jun 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds Yongheng Zhao Tolga Birdal J. E. Lenssen Emanuele Menegatti Leonidas Guibas Federico Tombari 3DPC 58 89 0 27 Dec 2019
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 77 516 0 19 Nov 2019
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator Shunwang Gong Lei Chen M. Bronstein Stefanos Zafeiriou 3DH 82 148 0 13 Nov 2019
Scale-Equivariant Steerable Networks Li Xiao Michal Szmaja A. Smeulders 102 149 0 14 Oct 2019
Deep Scale-spaces: Equivariance Over Scale Daniel E. Worrall Max Welling BDL 49 167 0 28 May 2019
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation Giorgos Bouritsas Sergiy Bokhnyak Stylianos Ploumpis M. Bronstein Stefanos Zafeiriou MedIm 3DH 39 165 0 08 May 2019
Spherical U-Net on Cortical Surfaces: Methods and Applications Fenqiang Zhao Shun-ren Xia Zhengwang Wu Dingna Duan Li Wang Weili Lin J. Gilmore Dinggang Shen Gang Li 30 58 0 01 Apr 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 86 408 0 11 Feb 2019
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike Local Tangent Space Estimation Zhiyu Sun Ethan Rooke Jerome Charton Yusen He Jia Lu Stephen Seung-Yeob Baek 45 21 0 03 Dec 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 194 313 0 05 Nov 2018
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications Nathanael Perraudin M. Defferrard T. Kacprzak R. Sgier 50 169 0 29 Oct 2018
Multi-directional Geodesic Neural Networks via Equivariant Convolution A. Poulenard M. Ovsjanikov 3DH 41 90 0 01 Oct 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler Mario Geiger Max Welling Wouter Boomsma Taco S. Cohen 3DPC 69 501 0 06 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor Zhen Lin Shubhendu Trivedi 74 267 0 24 Jun 2018
Parallel Transport Convolution: A New Tool for Convolutional Neural Networks on Manifolds Stefan C. Schonsheck Bin Dong Rongjie Lai 30 22 0 21 May 2018
CubeNet: Equivariance to 3D Rotation and Translation Daniel E. Worrall Gabriel J. Brostow 3DPC 48 142 0 12 Apr 2018
3D G-CNNs for Pulmonary Nodule Detection M. Winkels Taco S. Cohen MedIm 3DPC 52 107 0 12 Apr 2018
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis Erik J. Bekkers Maxime W. Lafarge M. Veta K. Eppenhof J. Pluim R. Duits MedIm 43 173 0 10 Apr 2018
HexaConv Emiel Hoogeboom Jorn W. T. Peters Taco S. Cohen Max Welling 40 56 0 06 Mar 2018
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds Nathaniel Thomas Tess E. Smidt S. Kearnes Lusann Yang Li Li Kai Kohlhoff Patrick F. Riley 3DPC 76 959 0 22 Feb 2018
Learning Steerable Filters for Rotation Equivariant CNNs Maurice Weiler Fred Hamprecht M. Storath 61 386 0 20 Nov 2017
SEGCloud: Semantic Segmentation of 3D Point Clouds Lyne P. Tchapmi Chris Choy Iro Armeni JunYoung Gwak Silvio Savarese 3DPC 48 750 0 20 Oct 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 281 11,000 0 07 Jun 2017
Surface Networks Ilya Kostrikov Zhongshi Jiang Daniele Panozzo Denis Zorin Joan Bruna 52 100 0 30 May 2017
Steerable CNNs Taco S. Cohen Max Welling BDL 101 498 0 27 Dec 2016
Harmonic Networks: Deep Translation and Rotation Equivariance Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow 99 706 0 14 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 401 14,191 0 02 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 364 1,817 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 532 3,264 0 24 Nov 2016
OctNet: Learning Deep 3D Representations at High Resolutions Gernot Riegler Ali O. Ulusoy Andreas Geiger 3DV 3DPC 164 1,478 0 15 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 447 28,901 0 09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 253 7,622 0 30 Jun 2016
Learning shape correspondence with anisotropic convolutional neural networks Davide Boscaini Jonathan Masci Emanuele Rodolà M. Bronstein 3DPC 117 506 0 20 May 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 117 1,917 0 24 Feb 2016