Quaternion Equivariant Capsule Networks for 3D Point Clouds

27 December 2019

Emanuele Menegatti

Papers citing "Quaternion Equivariant Capsule Networks for 3D Point Clouds"

50 / 53 papers shown

Title
Deep Parametric Continuous Convolutional Neural Networks Shenlong Wang Simon Suo Wei-Chiu Ma A. Pokrovsky R. Urtasun 3DPC 82 467 0 17 Jan 2021
Synchronizing Probability Measures on Rotations via Optimal Transport Tolga Birdal Michael Arbel Umut Simsekli Leonidas Guibas OT 51 30 0 01 Apr 2020
Quaternion Product Units for Deep Learning on 3D Rotation Groups Xuan Zhang S. Qin Yi Tian Xu Hongteng Xu 49 17 0 17 Dec 2019
Geometric Capsule Autoencoders for 3D Point Clouds Nitish Srivastava Hanlin Goh Ruslan Salakhutdinov 3DPC 50 22 0 06 Dec 2019
Learning an Effective Equivariant 3D Descriptor Without Supervision Riccardo Spezialetti Samuele Salti Luigi Di Stefano SSL 42 40 0 15 Sep 2019
Stacked Capsule Autoencoders Adam R. Kosiorek S. Sabour Yee Whye Teh Geoffrey E. Hinton OCL 42 262 0 17 Jun 2019
Equivariant neural networks and equivarification Erkao Bao Linqi Song 44 15 0 16 Jun 2019
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres Shuai Liao E. Gavves Cees G. M. Snoek 78 66 0 10 Apr 2019
Equivariant Multi-View Networks Carlos Esteves Yinshuang Xu Christine Allen-Blanchette Kostas Daniilidis 3DPC 50 98 0 01 Apr 2019
PointNetLK: Robust & Efficient Point Cloud Registration using PointNet Yasuhiro Aoki Hunter Goforth Rangaprasad Arun Srivatsan Simon Lucey 3DV 3DPC 73 758 0 13 Mar 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 100 412 0 11 Feb 2019
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation He Wang Srinath Sridhar Jingwei Huang Julien P. C. Valentin Shuran Song Leonidas Guibas 109 693 0 09 Jan 2019
Spherical CNNs on Unstructured Grids Chiyu “Max” Jingwei Huang K. Kashinath Lawrence Berkeley Nat’l Lab P. Marcus Matthias Niessner 73 183 0 07 Jan 2019
3D Point Capsule Networks Yongheng Zhao Tolga Birdal Haowen Deng Federico Tombari 3DPC 54 337 0 27 Dec 2018
Cross-Domain 3D Equivariant Image Embeddings Carlos Esteves Avneesh Sud Zhengyi Luo Kostas Daniilidis A. Makadia 3DPC 70 22 0 06 Dec 2018
Iterative Transformer Network for 3D Point Cloud Wentao Yuan David Held Christoph Mertz M. Hebert 3DPC 58 44 0 27 Nov 2018
Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution Yang You Yujing Lou Qi Liu Yu-Wing Tai Lizhuang Ma Cewu Lu Weiming Wang 3DPC 43 66 0 23 Nov 2018
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network Xinhai Liu Mohamed Morchid Yu-Shen Liu Matthias Zwicker 3DPC 59 321 0 06 Nov 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 207 314 0 05 Nov 2018
Multi-directional Geodesic Neural Networks via Equivariant Convolution A. Poulenard M. Ovsjanikov 3DH 45 91 0 01 Oct 2018
Riemannian Adaptive Optimization Methods Gary Bécigneul O. Ganea ODL 93 258 0 01 Oct 2018
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors Haowen Deng Tolga Birdal Slobodan Ilic 3DPC 88 391 0 30 Aug 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler Mario Geiger Max Welling Wouter Boomsma Taco S. Cohen 3DPC 97 504 0 06 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor Zhen Lin Shubhendu Trivedi 79 268 0 24 Jun 2018
Group Equivariant Capsule Networks J. E. Lenssen Matthias Fey Pascal Libuschewski 64 109 0 13 Jun 2018
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC Tolga Birdal Umut Simsekli M. Eken Slobodan Ilic 57 38 0 31 May 2018
CubeNet: Equivariance to 3D Rotation and Translation Daniel E. Worrall Gabriel J. Brostow 3DPC 72 143 0 12 Apr 2018
SO-Net: Self-Organizing Network for Point Cloud Analysis Jiaxin Li Ben M. Chen Gim Hee Lee 3DPC 74 937 0 12 Mar 2018
Brain Tumor Type Classification via Capsule Networks Parnian Afshar Arash Mohammadi Konstantinos N. Plataniotis 53 427 0 27 Feb 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 83 970 0 22 Feb 2018
CapsuleGAN: Generative Adversarial Capsule Network Ayush Jaiswal Wael AbdAlmageed Yue Wu Premkumar Natarajan GAN MedIm 46 159 0 17 Feb 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor Shubhendu Trivedi MLT 109 498 0 11 Feb 2018
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching Haowen Deng Tolga Birdal Slobodan Ilic 3DV 3DPC 68 550 0 07 Feb 2018
Spherical CNNs Taco S. Cohen Mario Geiger Jonas Köhler Max Welling 154 903 0 30 Jan 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 255 6,138 0 24 Jan 2018
$PointCNN: Convolution On $\mathcal{X}$-Transformed Points$ PointCNN: Convolution On $\mathcal{X}$ -Transformed Points Yangyan Li Rui Bu Mingchao Sun Wei Wu Xinhan Di Baoquan Chen 3DPC 228 2,443 0 23 Jan 2018
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels Matthias Fey J. E. Lenssen F. Weichert H. Müller 3DPC 162 441 0 24 Nov 2017
Learning Steerable Filters for Rotation Equivariant CNNs Maurice Weiler Fred Hamprecht M. Storath 88 387 0 20 Nov 2017
Learning SO(3) Equivariant Representations with Spherical CNNs Carlos Esteves Christine Allen-Blanchette A. Makadia Kostas Daniilidis 102 514 0 17 Nov 2017
Dynamic Routing Between Capsules S. Sabour Nicholas Frosst Geoffrey E. Hinton 174 4,595 0 26 Oct 2017
Learning Compact Geometric Features Marc Khoury Qian-Yi Zhou V. Koltun 3DPC 92 198 0 15 Sep 2017
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions Kristof T. Schütt Pieter-Jan Kindermans Huziel Enoc Sauceda Felix Stefan Chmiela A. Tkatchenko K. Müller 155 1,075 0 26 Jun 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 346 11,105 0 07 Jun 2017
Camera Pose Filtering with Local Regression Geodesics on the Riemannian Manifold of Dual Quaternions Benjamin Busam Tolga Birdal Nassir Navab 42 28 0 24 Apr 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 403 2,463 0 10 Mar 2017
Rotation equivariant vector field networks Diego Marcos Michele Volpi N. Komodakis D. Tuia 64 270 0 29 Dec 2016
Steerable CNNs Taco S. Cohen Max Welling BDL 137 499 0 27 Dec 2016
Harmonic Networks: Deep Translation and Rotation Equivariance Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow 124 710 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 481 14,309 0 02 Dec 2016
DeepSetNet: Predicting Sets with Deep Neural Networks S. Hamid Rezatofighi B. V. Kumar Anton Milan Ehsan Abbasnejad A. Dick Ian Reid BDL 55 51 0 28 Nov 2016