3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data

6 July 2018

Papers citing "3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data"

34 / 334 papers shown

Title
Quaternion Product Units for Deep Learning on 3D Rotation Groups Xuan Zhang S. Qin Yi Tian Xu Hongteng Xu 22 17 0 17 Dec 2019
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance Sameera Ramasinghe Salman Khan Nick Barnes Stephen Gould 13 8 0 30 Nov 2019
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 31 501 0 19 Nov 2019
Affine Self Convolution Nichita Diaconu Daniel E. Worrall 13 3 0 18 Nov 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 17 4 0 31 Oct 2019
Scale-Equivariant Steerable Networks Li Xiao Michal Szmaja A. Smeulders 8 149 0 14 Oct 2019
B-Spline CNNs on Lie Groups Erik J. Bekkers AI4CE 18 129 0 26 Sep 2019
Deep Learning for Automated Classification and Characterization of Amorphous Materials K. Swanson Shubhendu Trivedi Joshua Lequieu Kyle Swanson Risi Kondor 21 37 0 10 Sep 2019
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures Jordan Hoffmann Louis Maestrati Yoshihide Sawada Jian Tang Jean Michel D. Sellier Yoshua Bengio DiffM 3DV 9 65 0 03 Sep 2019
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes Sameera Ramasinghe Salman Khan Nick Barnes Stephen Gould 3DPC 17 4 0 24 Aug 2019
Orientation-aware Semantic Segmentation on Icosahedron Spheres Chao Zhang Stephan Liwicki William A. P. Smith R. Cipolla 6 80 0 30 Jul 2019
A Group-Theoretic Framework for Data Augmentation Shuxiao Chen Edgar Dobriban Jane Lee FedML 20 38 0 25 Jul 2019
Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning Peter Y. Lu Samuel Kim Marin Soljacic AI4CE 14 59 0 13 Jul 2019
Effective Rotation-invariant Point CNN with Spherical Harmonics kernels A. Poulenard Marie-Julie Rakotosaona Yann Ponty M. Ovsjanikov 3DPC 14 102 0 27 Jun 2019
Cormorant: Covariant Molecular Neural Networks Brandon M. Anderson Truong Son-Hy Risi Kondor 13 421 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 40 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
Leveraging binding-site structure for drug discovery with point-cloud methods Vincent Mallet Carlos G. Oliver N. Moitessier J. Waldispühl 11 7 0 28 May 2019
Deep Scale-spaces: Equivariance Over Scale Daniel E. Worrall Max Welling BDL 13 166 0 28 May 2019
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds Michael Perlmutter Feng Gao Guy Wolf M. Hirn 11 13 0 24 May 2019
Learning to Convolve: A Generalized Weight-Tying Approach Nichita Diaconu Daniel E. Worrall MLT 11 20 0 12 May 2019
Equivariant Entity-Relationship Networks Devon R. Graham Junhao Wang Siamak Ravanbakhsh 11 8 0 21 Mar 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 38 402 0 11 Feb 2019
On the Universality of Invariant Networks Haggai Maron Ethan Fetaya Nimrod Segol Y. Lipman OOD 6 235 0 27 Jan 2019
Volumetric Convolution: Automatic Representation Learning in Unit Ball Sameera Ramasinghe Salman Khan Nick Barnes 12 4 0 03 Jan 2019
3D Point Capsule Networks Yongheng Zhao Tolga Birdal Haowen Deng Federico Tombari 3DPC 12 337 0 27 Dec 2018
Invariant and Equivariant Graph Networks Haggai Maron Heli Ben-Hamu Nadav Shamir Y. Lipman 11 493 0 24 Dec 2018
Cross-Domain 3D Equivariant Image Embeddings Carlos Esteves Avneesh Sud Zhengyi Luo Kostas Daniilidis A. Makadia 3DPC 23 22 0 06 Dec 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 156 308 0 05 Nov 2018
Rotational 3D Texture Classification Using Group Equivariant CNNs Vincent Andrearczyk A. Depeursinge 11 12 0 16 Oct 2018
Discriminative Learning of Similarity and Group Equivariant Representations Shubhendu Trivedi 13 1 0 30 Aug 2018
Isometric Transformation Invariant Graph-based Deep Neural Network Renata Khasanova P. Frossard 25 3 0 21 Aug 2018
End-to-End Learning on 3D Protein Structure for Interface Prediction Raphael J. L. Townshend Rishi Bedi Patricia Suriana R. Dror 3DV 11 100 0 03 Jul 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor Shubhendu Trivedi MLT 45 487 0 11 Feb 2018