Learning SO(3) Equivariant Representations with Spherical CNNs

17 November 2017

Carlos Esteves

Christine Allen-Blanchette

A. Makadia

Kostas Daniilidis

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Papers citing "Learning SO(3) Equivariant Representations with Spherical CNNs"

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Title
LieTransformer: Equivariant self-attention for Lie Groups M. Hutchinson Charline Le Lan Sheheryar Zaidi Emilien Dupont Yee Whye Teh Hyunjik Kim 12 111 0 20 Dec 2020
Classification of Single-View Object Point Clouds Zelin Xu Ke Chen Kangjun Liu Changxing Ding Yaowei Wang K. Jia 3DPC 20 8 0 18 Dec 2020
Point Transformer Hengshuang Zhao Li Jiang Jiaya Jia Philip H. S. Torr V. Koltun 3DPC ViT 17 11 0 16 Dec 2020
ODFNet: Using orientation distribution functions to characterize 3D point clouds Y. Sahin Alican Mertan Gözde B. Ünal 3DPC 13 7 0 08 Dec 2020
Rotation-Invariant Autoencoders for Signals on Spheres Suhas Lohit Shubhendu Trivedi MDE 14 5 0 08 Dec 2020
Rotation-Invariant Point Convolution With Multiple Equivariant Alignments Hugues Thomas 3DPC 11 11 0 07 Dec 2020
Cosine-Pruned Medial Axis: A new method for isometric equivariant and noise-free medial axis extraction Diego Alberto Patiño Cortes J. Branch 8 0 0 05 Dec 2020
Learning Equivariant Representations Carlos Esteves BDL 17 0 0 04 Dec 2020
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration Sheng Ao Qingyong Hu Bo Yang Andrew Markham Yulan Guo 3DPC OOD 28 272 0 24 Nov 2020
Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis Ruixuan Yu Xin Wei Federico Tombari Jian Sun 3DPC 22 37 0 18 Nov 2020
Learning to Orient Surfaces by Self-supervised Spherical CNNs Riccardo Spezialetti Federico Stella M. Marcon Luciano Silva Samuele Salti Luigi Di Stefano 6 40 0 06 Nov 2020
Revisiting Optical Flow Estimation in 360 Videos Keshav Bhandari Ziliang Zong Yan Yan 3DPC 6 16 0 15 Oct 2020
Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video with Applications for Virtual Reality Alisha Sharma Ryan Nett Jonathan Ventura MDE 18 16 0 14 Oct 2020
Spherical Convolutional Neural Networks: Stability to Perturbations in SO(3) Zhan Gao Fernando Gama Alejandro Ribeiro AAML MLT 18 0 0 12 Oct 2020
Efficient Generalized Spherical CNNs Oliver Cobb C. Wallis Augustine N. Mavor-Parker Augustin Marignier Matthew Alexander Price Mayeul dÁvezac Jason D. McEwen 16 33 0 09 Oct 2020
Simplicial Neural Networks Stefania Ebli M. Defferrard Gard Spreemann GNN 14 124 0 07 Oct 2020
Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud Seohyun Kim Jaeyoo Park Bohyung Han 3DPC 11 75 0 07 Oct 2020
Conditional Generative Modeling via Learning the Latent Space Sameera Ramasinghe Kanchana Ranasinghe Salman Khan Nick Barnes Stephen Gould BDL 26 9 0 07 Oct 2020
On the Universality of Rotation Equivariant Point Cloud Networks Nadav Dym Haggai Maron 3DPC 27 78 0 06 Oct 2020
RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval Rao Fu Jie Yang Jiawei Sun Fang-Lue Zhang Yu-Kun Lai Lin Gao 3DV 3DPC 3DH 18 2 0 02 Oct 2020
A physics-informed operator regression framework for extracting data-driven continuum models Ravi G. Patel N. Trask M. Wood E. Cyr AI4CE 6 102 0 25 Sep 2020
A Robust and Reliable Point Cloud Recognition Network Under Rigid Transformation Dongrui Liu Chuanchuan Chen Changqing Xu Qi Cai Lei Chu F. Wen Robert C. Qiu 3DPC 6 15 0 15 Sep 2020
Robust Object Classification Approach using Spherical Harmonics Ayman Mukhaimar Ruwan Tennakoon Chow Yin Lai R. Hoseinnezhad A. Bab-Hadiashar 3DPC 11 6 0 02 Sep 2020
MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images Benjamin Attal Selena Ling Aaron Gokaslan Christian Richardt James Tompkin 20 105 0 14 Aug 2020
Global Context Aware Convolutions for 3D Point Cloud Understanding Zhiyuan Zhang Binh-Son Hua Wei-Neng Chen Yibin Tian Sai-Kit Yeung 3DPC 8 41 0 07 Aug 2020
Graph Convolution with Low-rank Learnable Local Filters Xiuyuan Cheng Zichen Miao Qiang Qiu GNN 14 0 0 04 Aug 2020
$360$^\circ$ Depth Estimation from Multiple Fisheye Images with Origami Crown Representation of Icosahedron$ 360 $^\circ$ Depth Estimation from Multiple Fisheye Images with Origami Crown Representation of Icosahedron Ren Komatsu Hiromitsu Fujii Y. Tamura Atsushi Yamashita Hajime Asama MDE 16 21 0 14 Jul 2020
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey M. Rath A. P. Condurache ViT AI4CE 27 9 0 30 Jun 2020
On the generalization of learning-based 3D reconstruction Miguel Angel Bautista Walter A. Talbott Shuangfei Zhai Nitish Srivastava J. Susskind 3DV 28 29 0 27 Jun 2020
Spin-Weighted Spherical CNNs Carlos Esteves A. Makadia Kostas Daniilidis 11 68 0 18 Jun 2020
Equivariant Neural Rendering Emilien Dupont Miguel Angel Bautista Alex Colburn Aditya Sankar Carlos Guestrin J. Susskind Qi Shan 3DH 25 63 0 13 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 13 136 0 08 Jun 2020
Structure preserving deep learning E. Celledoni Matthias Joachim Ehrhardt Christian Etmann R. McLachlan B. Owren Carola-Bibiane Schönlieb Ferdia Sherry AI4CE 11 43 0 05 Jun 2020
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data Alexander Robey Hamed Hassani George J. Pappas OOD 35 42 0 20 May 2020
Theoretical Aspects of Group Equivariant Neural Networks Carlos Esteves 11 41 0 10 Apr 2020
ManifoldNorm: Extending normalizations on Riemannian Manifolds Rudrasis Chakraborty 14 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 13 8 0 30 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 112 108 0 16 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 11 4 0 02 Mar 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data Marc Finzi Samuel Stanton Pavel Izmailov A. Wilson 6 316 0 25 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 11 74 0 20 Feb 2020
Variable-Viewpoint Representations for 3D Object Recognition Tengyu Ma Joel Michelson James Ainooson Deepayan Sanyal Xiaohan Wang M. Kunda 9 0 0 08 Feb 2020
PDE-based Group Equivariant Convolutional Neural Networks B. Smets J. Portegies Erik J. Bekkers R. Duits AI4CE 11 53 0 24 Jan 2020
Spherical Image Generation from a Single Normal Field of View Image by Considering Scene Symmetry T. Hara Tatsuya Harada 6 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 18 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 25 1,637 0 27 Dec 2019
Tangent Images for Mitigating Spherical Distortion Marc Eder Mykhailo Shvets John Lim Jan-Michael Frahm 8 105 0 19 Dec 2019
Quaternion Product Units for Deep Learning on 3D Rotation Groups Xuan Zhang S. Qin Yi Tian Xu Hongteng Xu 16 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
Motion Equivariance OF Event-based Camera Data with the Temporal Normalization Transform ZiYun Wang 23 0 0 28 Nov 2019