Learning shape correspondence with anisotropic convolutional neural networks

20 May 2016

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

50 / 119 papers shown

Title
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 22 286 0 07 May 2020
RigNet: Neural Rigging for Articulated Characters Zhan Xu Yang Zhou E. Kalogerakis Chris Landreth Karan Singh 3DH 32 51 0 01 May 2020
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence Nicolas Donati Abhishek Sharma M. Ovsjanikov AAML 3DPC 27 154 0 31 Mar 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 104 127 0 11 Mar 2020
Learning Diverse Fashion Collocation by Neural Graph Filtering Xin Liu Yongbin Sun Ziwei Liu Dahua Lin 29 26 0 11 Mar 2020
A Survey on Deep Geometry Learning: From a Representation Perspective Yun-Peng Xiao Yu-Kun Lai Fang-Lue Zhang Chunpeng Li Lin Gao 3DH AI4TS 40 100 0 19 Feb 2020
Continuous Geodesic Convolutions for Learning on 3D Shapes Zhangsihao Yang Or Litany Tolga Birdal Srinath Sridhar Leonidas J. Guibas 3DH 3DPC 3DV 18 29 0 06 Feb 2020
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance Sameera Ramasinghe Salman Khan Nick Barnes Stephen Gould 16 8 0 30 Nov 2019
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator Shunwang Gong Lei Chen M. Bronstein S. Zafeiriou 3DH 21 145 0 13 Nov 2019
LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling Yi-Ling Qiao Lin Gao Jie Yang Paul L. Rosin Yu-Kun Lai Xilin Chen 3DV 3DPC 32 12 0 30 Oct 2019
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks A. Mazari H. Sahbi GNN 32 5 0 15 Oct 2019
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision Sensing Yin Bi Aaron Chadha Alhabib Abbas Eirina Bourtsoulatze Y. Andreopoulos 25 26 0 08 Oct 2019
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs Yecheng Lyu Xinming Huang Ziming Zhang 29 0 0 26 Sep 2019
HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities Devanshu Arya S. Rudinac M. Worring 23 11 0 19 Sep 2019
Horizontal Flows and Manifold Stochastics in Geometric Deep Learning Stefan Sommer A. Bronstein 23 11 0 13 Sep 2019
Mesh Variational Autoencoders with Edge Contraction Pooling Yu-Jie Yuan Yu-Kun Lai J. Yang Hongbo Fu Lin Gao 3DPC 31 31 0 07 Aug 2019
Bilateral Operators for Functional Maps Gautam Pai Mor Joseph-Rivlin Ron Kimmel 24 1 0 30 Jul 2019
NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Network on Point Clouds P. Jin Tianhao Lai Rongjie Lai Bin Dong 3DPC 9 3 0 29 May 2019
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation Giorgos Bouritsas Sergiy Bokhnyak Stylianos Ploumpis M. Bronstein S. Zafeiriou MedIm 3DH 26 162 0 08 May 2019
Adaptive Hierarchical Down-Sampling for Point Cloud Classification E. Nezhadarya E. Taghavi Ryan Razani Bingbing Liu Jun Luo 3DPC 25 107 0 11 Apr 2019
ConvPoint: Continuous Convolutions for Point Cloud Processing Alexandre Boulch 3DPC 31 239 0 04 Apr 2019
FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image Jingwei Huang Yichao Zhou Thomas Funkhouser Leonidas J. Guibas 3DV 31 45 0 29 Mar 2019
A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images Jiapeng Tang Xiaoguang Han J. Pan Kui Jia Xin Tong 3DH 3DV 30 86 0 12 Mar 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 61 404 0 11 Feb 2019
End-to-end Lane Detection through Differentiable Least-Squares Fitting Wouter Van Gansbeke Bert De Brabandere D. Neven Marc Proesmans Luc Van Gool 21 133 0 01 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
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 29 1 0 24 Jan 2019
Hypergraph Convolution and Hypergraph Attention S. Bai Feihu Zhang Philip Torr GNN 26 612 0 23 Jan 2019
A Constructive Approach for One-Shot Training of Neural Networks Using Hypercube-Based Topological Coverings W. B. Daniel Enoch Yeung 23 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 163 8,385 0 03 Jan 2019
Surface Networks via General Covers Niv Haim Nimrod Segol Heli Ben-Hamu Haggai Maron Y. Lipman 3DPC 22 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 33 5,406 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 29 21 0 03 Dec 2018
GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping Erhan Gundogdu Victor Constantin Amrollah Seifoddini Minh Dang Mathieu Salzmann Pascal Fua AI4CE 3DH 3DPC 24 135 0 27 Nov 2018
Angular Triplet-Center Loss for Multi-view 3D Shape Retrieval Zhaoqun Li Cheng Xu B. Leng DML 3DPC 18 50 0 21 Nov 2018
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications Nathanael Perraudin M. Defferrard T. Kacprzak R. Sgier 26 169 0 29 Oct 2018
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention Yongbin Sun Yue Wang Ziwei Liu J. Siegel Sanjay E. Sarma 3DPC 31 195 0 12 Oct 2018
A Simple Approach to Intrinsic Correspondence Learning on Unstructured 3D Meshes I. Lim A.C.A. Dielen M. Campen Leif Kobbelt 14 93 0 18 Sep 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 16 76 0 17 Sep 2018
Tangent Convolutions for Dense Prediction in 3D Maxim Tatarchenko Jaesik Park V. Koltun Qian-Yi Zhou 3DV 3DPC MDE 33 542 0 06 Jul 2018
Wall Stress Estimation of Cerebral Aneurysm based on Zernike Convolutional Neural Networks Zhiyu Sun Jia Lu Stephen Seung-Yeob Baek 21 0 0 20 Jun 2018
Learning Conditioned Graph Structures for Interpretable Visual Question Answering Will Norcliffe-Brown Efstathios Vafeias Sarah Parisot GNN 21 236 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 132 325 0 13 Jun 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
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images Nanyang Wang Yinda Zhang Zhuwen Li Yanwei Fu Wei Liu Yu-Gang Jiang 3DV 27 1,318 0 05 Apr 2018
Triplet-Center Loss for Multi-View 3D Object Retrieval Xinwei He Yang Zhou Zhichao Zhou S. Bai X. Bai 3DPC 27 329 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 61 1,179 0 15 Feb 2018
MotifNet: a motif-based Graph Convolutional Network for directed graphs Federico Monti Karl Otness M. Bronstein GNN 31 143 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 37 204 0 05 Dec 2017
Deformable Shape Completion with Graph Convolutional Autoencoders Or Litany A. Bronstein M. Bronstein A. Makadia 28 222 0 01 Dec 2017