Spherical CNNs

30 January 2018

Papers citing "Spherical CNNs"

44 / 544 papers shown

Title
Learning to Reconstruct Shapes from Unseen Classes Xiuming Zhang Zhoutong Zhang Chengkai Zhang J. Tenenbaum Bill Freeman Jiajun Wu 3DV 30 155 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
Invariant and Equivariant Graph Networks Haggai Maron Heli Ben-Hamu Nadav Shamir Y. Lipman 31 495 0 24 Dec 2018
Discriminative analysis of the human cortex using spherical CNNs - a study on Alzheimer's disease diagnosis Xinyang Feng Jie Yang Andrew F. Laine Elsa D. Angelini 14 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 37 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 19 66 0 23 Nov 2018
SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360 degree Images Yeonkun Lee Jaeseok Jeong J. Yun Wonjune Cho Kuk-Jin Yoon 32 97 0 20 Nov 2018
DeepConsensus: using the consensus of features from multiple layers to attain robust image classification Yuchen Li Safwan Hossain Kiarash Jamali Frank Rudzicz 14 1 0 18 Nov 2018
View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions Zhizhong Han Mingyang Shang Yu-Shen Liu Matthias Zwicker SSL 3DV GAN 19 134 0 07 Nov 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 310 0 05 Nov 2018
SPNet: Deep 3D Object Classification and Retrieval using Stereographic Projection Mohsen Yavartanoo Euyoung Kim Kyoung Mu Lee 3DPC 11 74 0 05 Nov 2018
Learning Compressed Transforms with Low Displacement Rank Anna T. Thomas Albert Gu Tri Dao Atri Rudra Christopher Ré 27 40 0 04 Oct 2018
Monge-Ampère Flow for Generative Modeling Linfeng Zhang E. Weinan Lei Wang DRL 28 62 0 26 Sep 2018
3D Human Pose Estimation with Siamese Equivariant Embedding M. Véges Viktor Varga András Lőrincz 27 29 0 19 Sep 2018
ManifoldNet: A Deep Network Framework for Manifold-valued Data Rudrasis Chakraborty Jose J. Bouza J. Manton B. Vemuri 24 16 0 11 Sep 2018
Labeling Panoramas with Spherical Hourglass Networks Carlos Esteves Kostas Daniilidis A. Makadia 24 3 0 06 Sep 2018
Discriminative Learning of Similarity and Group Equivariant Representations Shubhendu Trivedi 27 1 0 30 Aug 2018
Isometric Transformation Invariant Graph-based Deep Neural Network Renata Khasanova P. Frossard 35 3 0 21 Aug 2018
Deep Generative Modeling for Scene Synthesis via Hybrid Representations Zaiwei Zhang Zhenpei Yang Chongyang Ma Linjie Luo Alexander G. Huth E. Vouga Qi-Xing Huang GAN 3DPC 21 125 0 06 Aug 2018
Geared Rotationally Identical and Invariant Convolutional Neural Network Systems ShihChung B. Lo Ph. D. M. Freedman M. D. S. Mun Ph. D. H. Chan Ph. D 19 4 0 03 Aug 2018
Transformationally Identical and Invariant Convolutional Neural Networks by Combining Symmetric Operations or Input Vectors S. Lo M. Freedman S. Mun 15 3 0 30 Jul 2018
OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas N. Zioulis Antonis Karakottas D. Zarpalas P. Daras MDE 25 210 0 25 Jul 2018
Explorations in Homeomorphic Variational Auto-Encoding Luca Falorsi P. D. Haan Tim R. Davidson Nicola De Cao Maurice Weiler Patrick Forré Taco S. Cohen BDL DRL 39 116 0 12 Jul 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler Mario Geiger Max Welling Wouter Boomsma Taco S. Cohen 3DPC 45 495 0 06 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor Zhen Lin Shubhendu Trivedi 56 266 0 24 Jun 2018
Group Equivariant Capsule Networks J. E. Lenssen Matthias Fey Pascal Libuschewski 30 109 0 13 Jun 2018
Transformationally Identical and Invariant Convolutional Neural Networks through Symmetric Element Operators S. Lo M. Freedman S. Mun Shuo Gu 19 5 0 10 Jun 2018
A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices Rudrasis Chakraborty Chun-Hao Yang Xingjian Zhen Monami Banerjee Derek B. Archer David E Vaillancourt Vikas Singh B. Vemuri 25 38 0 29 May 2018
Improved Person Detection on Omnidirectional Images with Non-maxima Suppression Roman Seidel André Apitzsch G. Hirtz ObjD 11 26 0 22 May 2018
Parallel Transport Convolution: A New Tool for Convolutional Neural Networks on Manifolds Stefan C. Schonsheck Bin Dong Rongjie Lai 26 22 0 21 May 2018
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks Xiuyuan Cheng Qiang Qiu Robert Calderbank Guillermo Sapiro 30 43 0 17 May 2018
A CNN for homogneous Riemannian manifolds with applications to Neuroimaging Rudrasis Chakraborty Monami Banerjee B. Vemuri 21 9 0 14 May 2018
CubeNet: Equivariance to 3D Rotation and Translation Daniel E. Worrall Gabriel J. Brostow 3DPC 26 141 0 12 Apr 2018
3D G-CNNs for Pulmonary Nodule Detection M. Winkels Taco S. Cohen MedIm 3DPC 36 107 0 12 Apr 2018
Hyperspherical Variational Auto-Encoders Tim R. Davidson Luca Falorsi Nicola De Cao Thomas Kipf Jakub M. Tomczak DRL BDL 18 379 0 03 Apr 2018
Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks) Taco S. Cohen Mario Geiger Maurice Weiler 41 46 0 28 Mar 2018
N-body Networks: a Covariant Hierarchical Neural Network Architecture for Learning Atomic Potentials Risi Kondor AI4CE 38 106 0 05 Mar 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 44 944 0 22 Feb 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor Shubhendu Trivedi MLT 62 488 0 11 Feb 2018
Aligned to the Object, not to the Image: A Unified Pose-aligned Representation for Fine-grained Recognition Pei Guo Ryan Farrell 15 31 0 27 Jan 2018
Learning SO(3) Equivariant Representations with Spherical CNNs Carlos Esteves Christine Allen-Blanchette A. Makadia Kostas Daniilidis 65 510 0 17 Nov 2017
Wavelet-Based Segmentation on the Sphere Xiaohao Cai C. Wallis Jennifer Y. H. Chan Jason D. McEwen 29 5 0 21 Sep 2016