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
Motion Equivariance OF Event-based Camera Data with the Temporal Normalization Transform ZiYun Wang 31 0 0 28 Nov 2019
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 33 501 0 19 Nov 2019
Affine Self Convolution Nichita Diaconu Daniel E. Worrall 18 3 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 16 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 17 30 0 01 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 25 4 0 31 Oct 2019
PRNet: Self-Supervised Learning for Partial-to-Partial Registration Yue Wang Justin Solomon SSL 3DPC 19 379 0 27 Oct 2019
Endowing Deep 3D Models with Rotation Invariance Based on Principal Component Analysis Zelin Xiao Hongxin Lin Renjie Li Hongyang Chao Shengyong Ding 13 31 0 20 Oct 2019
Scale-Equivariant Steerable Networks Li Xiao Michal Szmaja A. Smeulders 16 149 0 14 Oct 2019
360-Indoor: Towards Learning Real-World Objects in 360° Indoor Equirectangular Images Shih-Han Chou Cheng Sun Wen-Yen Chang Klemens Böhm Min Sun Jianlong Fu 3DPC 28 49 0 03 Oct 2019
B-Spline CNNs on Lie Groups Erik J. Bekkers AI4CE 26 129 0 26 Sep 2019
Spherical View Synthesis for Self-Supervised 360 Depth Estimation N. Zioulis Antonis Karakottas D. Zarpalas Federico Álvarez P. Daras MDE 14 98 0 17 Sep 2019
Learning an Effective Equivariant 3D Descriptor Without Supervision Riccardo Spezialetti Samuele Salti Luigi Di Stefano SSL 17 40 0 15 Sep 2019
Efficient Learning on Point Clouds with Basis Point Sets Sergey Prokudin Christoph Lassner Javier Romero 3DPC 16 116 0 24 Aug 2019
Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes Sameera Ramasinghe Salman Khan Nick Barnes Stephen Gould 3DPC 19 4 0 24 Aug 2019
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning Zhiyuan Zhang Binh-Son Hua D. Rosen Sai-Kit Yeung 3DPC 27 167 0 17 Aug 2019
Location Field Descriptors: Single Image 3D Model Retrieval in the Wild Alexander Grabner P. Roth Vincent Lepetit 3DPC 24 36 0 07 Aug 2019
Orientation-aware Semantic Segmentation on Icosahedron Spheres Chao Zhang Stephan Liwicki William A. P. Smith R. Cipolla 11 80 0 30 Jul 2019
Reprojection R-CNN: A Fast and Accurate Object Detector for 360° Images Pengyu Zhao Ansheng You Yuanxing Zhang Jiaying Liu Kaigui Bian Yunhai Tong ObjD 17 3 0 27 Jul 2019
A Group-Theoretic Framework for Data Augmentation Shuxiao Chen Edgar Dobriban Jane Lee FedML 28 38 0 25 Jul 2019
Cormorant: Covariant Molecular Neural Networks Brandon M. Anderson Truong Son-Hy Risi Kondor 25 421 0 06 Jun 2019
Deep Scale-spaces: Equivariance Over Scale Daniel E. Worrall Max Welling BDL 13 166 0 28 May 2019
Multi-Agent Image Classification via Reinforcement Learning Hossein K. Mousavi M. Nazari Martin Takáč N. Motee 17 26 0 13 May 2019
Learning to Convolve: A Generalized Weight-Tying Approach Nichita Diaconu Daniel E. Worrall MLT 25 20 0 12 May 2019
DeepSphere: towards an equivariant graph-based spherical CNN M. Defferrard Nathanael Perraudin T. Kacprzak R. Sgier GNN 26 24 0 08 Apr 2019
3DRegNet: A Deep Neural Network for 3D Point Registration Goncalo Dias Pais Srikumar Ramalingam V. Govindu Jacinto C. Nascimento Rama Chellappa Pedro Miraldo 3DPC 3DV 31 219 0 02 Apr 2019
Equivariant Multi-View Networks Carlos Esteves Yinshuang Xu Christine Allen-Blanchette Kostas Daniilidis 3DPC 11 98 0 01 Apr 2019
Discrete Rotation Equivariance for Point Cloud Recognition Jiaxin Li Yingcai Bi Gim Hee Lee 3DPC 27 24 0 31 Mar 2019
Motion Equivariant Networks for Event Cameras with the Temporal Normalization Transform A. Z. Zhu Ziyun Wang Kostas Daniilidis ViT 3DPC 12 7 0 18 Feb 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 61 402 0 11 Feb 2019
Spherical CNNs on Unstructured Grids Chiyu “Max” Jingwei Huang K. Kashinath Lawrence Berkeley Nat’l Lab P. Marcus Matthias Niessner 14 182 0 07 Jan 2019
Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video Alisha Sharma Jonathan Ventura MDE 31 4 0 04 Jan 2019
Learning to Reconstruct Shapes from Unseen Classes Xiuming Zhang Zhoutong Zhang Chengkai Zhang J. Tenenbaum Bill Freeman Jiajun Wu 3DV 22 155 0 28 Dec 2018
Surface Networks via General Covers Niv Haim Nimrod Segol Heli Ben-Hamu Haggai Maron Y. Lipman 3DPC 22 49 0 27 Dec 2018
Discriminative analysis of the human cortex using spherical CNNs - a study on Alzheimer's disease diagnosis Xinyang Feng Jie-jin Yang Andrew F. Laine Elsa D. Angelini 9 2 0 19 Dec 2018
3DTI-Net: Learn Inner Transform Invariant 3D Geometry Features using Dynamic GCN G. Pan Jun Wang R. Ying Peilin Liu 3DPC 9 16 0 15 Dec 2018
Kernel Transformer Networks for Compact Spherical Convolution Yu-Chuan Su Kristen Grauman ViT 33 124 0 07 Dec 2018
Cross-Domain 3D Equivariant Image Embeddings Carlos Esteves Avneesh Sud Zhengyi Luo Kostas Daniilidis A. Makadia 3DPC 29 22 0 06 Dec 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 13 66 0 23 Nov 2018
The Perfect Match: 3D Point Cloud Matching with Smoothed Densities Zan Gojcic Caifa Zhou Jan Dirk Wegner A. Wieser 3DPC 3DV 31 450 0 16 Nov 2018
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications Nathanael Perraudin M. Defferrard T. Kacprzak R. Sgier 23 169 0 29 Oct 2018
3D Human Pose Estimation with Siamese Equivariant Embedding M. Véges Viktor Varga András Lőrincz 24 29 0 19 Sep 2018
Labeling Panoramas with Spherical Hourglass Networks Carlos Esteves Kostas Daniilidis A. Makadia 19 3 0 06 Sep 2018
Discriminative Learning of Similarity and Group Equivariant Representations Shubhendu Trivedi 24 1 0 30 Aug 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor Zhen Lin Shubhendu Trivedi 37 264 0 24 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016
Wavelet-Based Segmentation on the Sphere Xiaohao Cai C. Wallis Jennifer Y. H. Chan Jason D. McEwen 13 5 0 21 Sep 2016