Steerable CNNs

27 December 2016

Papers citing "Steerable CNNs"

43 / 143 papers shown

Title
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning Elise van der Pol Daniel E. Worrall H. V. Hoof F. Oliehoek Max Welling BDL AI4CE 31 156 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 45 667 0 18 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features R. Wiersma E. Eisemann Klaus Hildebrandt 28 69 0 02 Jun 2020
Theoretical Aspects of Group Equivariant Neural Networks Carlos Esteves 27 41 0 10 Apr 2020
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images S. Graham David B. A. Epstein Nasir M. Rajpoot 24 88 0 06 Apr 2020
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects Zewen Li Wenjie Yang Shouheng Peng Fan Liu HAI 3DV 64 2,605 0 01 Apr 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 104 127 0 11 Mar 2020
Directional Message Passing for Molecular Graphs Johannes Klicpera Janek Groß Stephan Günnemann 71 849 0 06 Mar 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 30 317 0 25 Feb 2020
On Learning Sets of Symmetric Elements Haggai Maron Or Litany Gal Chechik Ethan Fetaya 32 132 0 20 Feb 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin Walters Rose Yu AI4CE 54 170 0 08 Feb 2020
Universal Equivariant Multilayer Perceptrons Siamak Ravanbakhsh 110 48 0 07 Feb 2020
Attentive Group Equivariant Convolutional Networks David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 22 91 0 07 Feb 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds Yongheng Zhao Tolga Birdal J. E. Lenssen Emanuele Menegatti Leonidas J. Guibas Federico Tombari 3DPC 26 88 0 27 Dec 2019
Deep Learning for 2D and 3D Rotatable Data: An Overview of Methods Luca Della Libera Vladimir Golkov Yue Zhu Arman Mielke Daniel Cremers 3DH 3DPC 25 4 0 31 Oct 2019
Dynamic Scale Inference by Entropy Minimization Dequan Wang Evan Shelhamer Bruno A. Olshausen Trevor Darrell 27 7 0 08 Aug 2019
Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning Peter Y. Lu Samuel Kim Marin Soljacic AI4CE 22 59 0 13 Jul 2019
Cormorant: Covariant Molecular Neural Networks Brandon M. Anderson Truong-Son Hy Risi Kondor 42 421 0 06 Jun 2019
Covariance in Physics and Convolutional Neural Networks Miranda C. N. Cheng V. Anagiannis Maurice Weiler P. D. Haan Taco S. Cohen Max Welling 51 18 0 06 Jun 2019
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade T. Lindeberg 27 19 0 29 May 2019
Deep Scale-spaces: Equivariance Over Scale Daniel E. Worrall Max Welling BDL 24 166 0 28 May 2019
Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields Evan Shelhamer Dequan Wang Trevor Darrell 29 35 0 25 Apr 2019
Discrete Rotation Equivariance for Point Cloud Recognition Jiaxin Li Yingcai Bi Gim Hee Lee 3DPC 27 24 0 31 Mar 2019
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations Guo-Jun Qi Liheng Zhang Chang Wen Chen Qi Tian DRL 21 42 0 23 Mar 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 61 404 0 11 Feb 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 310 0 05 Nov 2018
Rotational 3D Texture Classification Using Group Equivariant CNNs Vincent Andrearczyk Adrien Depeursinge 21 12 0 16 Oct 2018
Explorations in Homeomorphic Variational Auto-Encoding Luca Falorsi P. D. Haan Tim R. Davidson Nicola De Cao Maurice Weiler Patrick Forré Taco S. Cohen BDL DRL 39 116 0 12 Jul 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler Mario Geiger Max Welling Wouter Boomsma Taco S. Cohen 3DPC 45 495 0 06 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor Zhen Lin Shubhendu Trivedi 56 266 0 24 Jun 2018
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks Xiuyuan Cheng Qiang Qiu Robert Calderbank Guillermo Sapiro 30 43 0 17 May 2018
3D G-CNNs for Pulmonary Nodule Detection M. Winkels Taco S. Cohen MedIm 3DPC 36 107 0 12 Apr 2018
Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks) Taco S. Cohen Mario Geiger Maurice Weiler 41 46 0 28 Mar 2018
N-body Networks: a Covariant Hierarchical Neural Network Architecture for Learning Atomic Potentials Risi Kondor AI4CE 38 106 0 05 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 44 944 0 22 Feb 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor Shubhendu Trivedi MLT 62 488 0 11 Feb 2018
Spherical CNNs Taco S. Cohen Mario Geiger Jonas Köhler Max Welling 47 894 0 30 Jan 2018
Covariant Compositional Networks For Learning Graphs Risi Kondor H. Son Horace Pan Brandon M. Anderson Shubhendu Trivedi GNN 33 165 0 07 Jan 2018
Convolutional Networks for Spherical Signals Taco S. Cohen Mario Geiger Jonas Köhler Max Welling 38 70 0 14 Sep 2017
Polar Transformer Networks Carlos Esteves Christine Allen-Blanchette Xiaowei Zhou Kostas Daniilidis ViT 34 184 0 06 Sep 2017
Rotation equivariant vector field networks Diego Marcos Michele Volpi N. Komodakis D. Tuia 28 266 0 29 Dec 2016
Harmonic Networks: Deep Translation and Rotation Equivariance Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow 68 699 0 14 Dec 2016