Spherical CNNs

30 January 2018

Papers citing "Spherical CNNs"

50 / 544 papers shown

Title
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
Robust Sound Source Tracking Using SRP-PHAT and 3D Convolutional Neural Networks David Diaz-Guerra A. Miguel J. R. Beltrán 32 87 0 16 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
Equivariant Maps for Hierarchical Structures Renhao Wang Marjan Albooyeh Siamak Ravanbakhsh 3DPC 24 13 0 05 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
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
Isometric Transformation Invariant and Equivariant Graph Convolutional Networks Masanobu Horie Naoki Morita Toshiaki Hishinuma Yushi Ihara Naoto Mitsume GNN 8 23 0 13 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
Theoretical Aspects of Group Equivariant Neural Networks Carlos Esteves 27 41 0 10 Apr 2020
Cortical surface registration using unsupervised learning Jieyu Cheng Adrian Dalca Bruce Fischl Lilla Zöllei 24 33 0 09 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
Estimate of the Neural Network Dimension using Algebraic Topology and Lie Theory Luciano Melodia R. Lenz 12 3 0 06 Apr 2020
ManifoldNorm: Extending normalizations on Riemannian Manifolds Rudrasis Chakraborty 16 10 0 30 Mar 2020
LayoutMP3D: Layout Annotation of Matterport3D Fu-En Wang Yu-Hsuan Yeh Min Sun Wei-Chen Chiu Yi-Hsuan Tsai 3DV 3DPC MDE 21 8 0 30 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 45 120 0 26 Mar 2020
Local Rotation Invariance in 3D CNNs Vincent Andrearczyk Julien Fageot Valentin Oreiller X. Montet Adrien Depeursinge 45 23 0 19 Mar 2020
A Rotation-Invariant Framework for Deep Point Cloud Analysis Xianzhi Li Ruihui Li Guangyong Chen Chi-Wing Fu Daniel Cohen-Or Pheng-Ann Heng 3DPC 120 109 0 16 Mar 2020
Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere Jonathan A. Weyn Dale Durran R. Caruana AI4Cl 29 257 0 15 Mar 2020
Directional Message Passing for Molecular Graphs Johannes Klicpera Janek Groß Stephan Günnemann 74 850 0 06 Mar 2020
MVC-Net: A Convolutional Neural Network Architecture for Manifold-Valued Images With Applications Jose J. Bouza Chun-Hao Yang David E Vaillancourt B. Vemuri 18 4 0 02 Mar 2020
A Permutation-Equivariant Neural Network Architecture For Auction Design Jad Rahme Samy Jelassi Joan Bruna S. M. Weinberg 12 45 0 02 Mar 2020
SilhoNet-Fisheye: Adaptation of A ROI Based Object Pose Estimation Network to Monocular Fisheye Images G. Billings Matthew Johnson-Roberson 6 11 0 27 Feb 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 33 317 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 32 132 0 20 Feb 2020
Superpixel Image Classification with Graph Attention Networks Pedro H. C. Avelar Anderson R. Tavares T. L. T. D. Silveira C. R. Jung Luís C. Lamb GNN 21 50 0 13 Feb 2020
Variable-Viewpoint Representations for 3D Object Recognition Tengyu Ma Joel Michelson James Ainooson Deepayan Sanyal Xiaohan Wang M. Kunda 19 0 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
WeatherBench: A benchmark dataset for data-driven weather forecasting S. Rasp P. Dueben S. Scher Jonathan A. Weyn Soukayna Mouatadid Nils Thuerey AI4Cl AI4TS 24 427 0 02 Feb 2020
Spherical Image Generation from a Single Normal Field of View Image by Considering Scene Symmetry T. Hara Tatsuya Harada 16 6 0 09 Jan 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 3D Point Clouds: A Survey Yulan Guo Hanyun Wang Qingyong Hu Hao Liu Li Liu Bennamoun 3DPC 27 1,645 0 27 Dec 2019
Tangent Images for Mitigating Spherical Distortion Marc Eder Mykhailo Shvets John Lim Jan-Michael Frahm 24 105 0 19 Dec 2019
Quaternion Product Units for Deep Learning on 3D Rotation Groups Xuan Zhang S. Qin Yi Tian Xu Hongteng Xu 30 17 0 17 Dec 2019
Identifying nearby sources of ultra-high-energy cosmic rays with deep learning O. Kalashev M. Pshirkov M. Zotov 6 12 0 02 Dec 2019
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance Sameera Ramasinghe Salman Khan Nick Barnes Stephen Gould 16 8 0 30 Nov 2019
3D Shape Completion with Multi-view Consistent Inference T. Hu Zhizhong Han Matthias Zwicker 3DPC 3DV 27 51 0 28 Nov 2019
Solving Traveltime Tomography with Deep Learning Yuwei Fan Lexing Ying 29 13 0 25 Nov 2019
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 45 506 0 19 Nov 2019
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data David W. Romero Mark Hoogendoorn 29 24 0 18 Nov 2019
GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs Yuan Liu Zehong Shen Zhixuan Lin Sida Peng Hujun Bao Xiaowei Zhou 24 94 0 14 Nov 2019
360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume Ning-Hsu Wang Bolivar Solarte Yi-Hsuan Tsai Wei-Chen Chiu Min Sun 3DPC MDE 33 65 0 11 Nov 2019
Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology Chenchen Zhao Jiaqi Yang Xin Xiong Angfan Zhu Zhiguo Cao Xin Li 3DPC 25 30 0 01 Nov 2019
Chirality Nets for Human Pose Regression Raymond A. Yeh Yuan-Ting Hu Alex Schwing 3DH 22 48 0 31 Oct 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
NeurVPS: Neural Vanishing Point Scanning via Conic Convolution Yichao Zhou Haozhi Qi Jingwei Huang Yi Ma 3DPC 27 42 0 14 Oct 2019
Solving Optical Tomography with Deep Learning Yuwei Fan Lexing Ying 24 15 0 10 Oct 2019