Learning shape correspondence with anisotropic convolutional neural networks

20 May 2016

Papers citing "Learning shape correspondence with anisotropic convolutional neural networks"

29 / 79 papers shown

Title
FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image Jingwei Huang Yichao Zhou Thomas Funkhouser Leonidas J. Guibas 3DV 20 45 0 29 Mar 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 29 402 0 11 Feb 2019
DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals C. Jiang Dana Lynn Ona Lansigan P. Marcus Matthias Nießner 11 11 0 30 Jan 2019
A Constructive Approach for One-Shot Training of Neural Networks Using Hypercube-Based Topological Coverings W. B. Daniel Enoch Yeung 18 2 0 09 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 150 8,350 0 03 Jan 2019
Surface Networks via General Covers Niv Haim Nimrod Segol Heli Ben-Hamu Haggai Maron Y. Lipman 3DPC 14 49 0 27 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 28 5,397 0 20 Dec 2018
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike Local Tangent Space Estimation Zhiyu Sun Ethan Rooke Jerome Charton Yusen He Jia Lu Stephen Seung-Yeob Baek 15 21 0 03 Dec 2018
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention Yongbin Sun Yue Wang Ziwei Liu J. Siegel Sanjay E. Sarma 3DPC 20 195 0 12 Oct 2018
Graph Neural Networks for IceCube Signal Classification Nicholas Choma Federico Monti Lisa Gerhardt T. Palczewski Z. Ronaghi P. Prabhat W. Bhimji M. Bronstein S. Klein Joan Bruna 11 76 0 17 Sep 2018
Wall Stress Estimation of Cerebral Aneurysm based on Zernike Convolutional Neural Networks Zhiyu Sun Jia Lu Stephen Seung-Yeob Baek 11 0 0 20 Jun 2018
Learning Conditioned Graph Structures for Interpretable Visual Question Answering Will Norcliffe-Brown Efstathios Vafeias Sarah Parisot GNN 13 236 0 19 Jun 2018
3D-CODED : 3D Correspondences by Deep Deformation Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DPC 3DV 115 325 0 13 Jun 2018
Parallel Transport Convolution: A New Tool for Convolutional Neural Networks on Manifolds Stefan C. Schonsheck Bin Dong Rongjie Lai 24 22 0 21 May 2018
Triplet-Center Loss for Multi-View 3D Object Retrieval Xinwei He Yang Zhou Zhichao Zhou S. Bai X. Bai 3DPC 19 329 0 16 Mar 2018
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DV 23 1,178 0 15 Feb 2018
MotifNet: a motif-based Graph Convolutional Network for directed graphs Federico Monti Karl Otness M. Bronstein GNN 18 143 0 04 Feb 2018
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis Peng-Shuai Wang Yang Liu Yu-Xiao Guo Chun-Yu Sun Xin Tong 3DV 15 206 0 05 Dec 2017
Learning SO(3) Equivariant Representations with Spherical CNNs Carlos Esteves Christine Allen-Blanchette A. Makadia Kostas Daniilidis 42 508 0 17 Nov 2017
Learning quadrangulated patches for 3D shape parameterization and completion Kripasindhu Sarkar Kiran Varanasi D. Stricker 3DV 16 24 0 20 Sep 2017
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis Nitika Verma Edmond Boyer Jakob Verbeek 3DPC GNN 16 25 0 16 Jun 2017
Learning Local Shape Descriptors from Part Correspondences With Multi-view Convolutional Networks Haibin Huang E. Kalogerakis S. Chaudhuri Duygu Ceylan Vladimir G. Kim Ersin Yumer 3DPC 25 134 0 14 Jun 2017
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters Ron Levie Federico Monti Xavier Bresson M. Bronstein GNN 16 655 0 22 May 2017
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence Or Litany Tal Remez Emanuele Rodolà A. Bronstein M. Bronstein 3DPC 6 284 0 27 Apr 2017
Robust Spatial Filtering with Graph Convolutional Neural Networks F. Such Shagan Sah Miguel Domínguez Suhas Pillai Chao Zhang A. Michael N. Cahill R. Ptucha GNN 29 140 0 02 Mar 2017
Sparse Geometric Representation Through Local Shape Probing Julie Digne S. Valette R. Chaine 20 31 0 07 Dec 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 238 3,236 0 24 Nov 2016
VConv-DAE: Deep Volumetric Shape Learning Without Object Labels Abhishek Sharma O. Grau Mario Fritz 3DPC 15 279 0 13 Apr 2016
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 254 7,634 0 03 Jul 2012