Continuous Geodesic Convolutions for Learning on 3D Shapes

6 February 2020

Papers citing "Continuous Geodesic Convolutions for Learning on 3D Shapes"

35 / 35 papers shown

Title
Deep Parametric Continuous Convolutional Neural Networks Shenlong Wang Simon Suo Wei-Chiu Ma A. Pokrovsky R. Urtasun 3DPC 56 467 0 17 Jan 2021
MeshWalker: Deep Mesh Understanding by Random Walks Alon Lahav A. Tal 3DV 54 81 0 09 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features R. Wiersma E. Eisemann Klaus Hildebrandt 105 69 0 02 Jun 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds Yongheng Zhao Tolga Birdal J. E. Lenssen Emanuele Menegatti Leonidas Guibas Federico Tombari 3DPC 48 89 0 27 Dec 2019
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator Shunwang Gong Lei Chen M. Bronstein Stefanos Zafeiriou 3DH 80 148 0 13 Nov 2019
KPConv: Flexible and Deformable Convolution for Point Clouds Hugues Thomas C. Qi Jean-Emmanuel Deschaud B. Marcotegui F. Goulette Leonidas Guibas 3DPC 124 2,518 0 18 Apr 2019
3D Local Features for Direct Pairwise Registration Haowen Deng Tolga Birdal Slobodan Ilic 3DPC 45 109 0 08 Apr 2019
ABC: A Big CAD Model Dataset For Geometric Deep Learning Sebastian Koch Albert Matveev Zhongshi Jiang Francis Williams Alexey Artemov Evgeny Burnaev M. Alexa Denis Zorin Daniele Panozzo 3DPC 3DV 52 452 0 15 Dec 2018
Self-supervised Learning of Dense Shape Correspondence Oshri Halimi Or Litany Emanuele Rodolà A. Bronstein Ron Kimmel 3DPC 29 23 0 06 Dec 2018
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes Jingwei Huang Haotian Zhang L. Yi Thomas Funkhouser Matthias Nießner Leonidas Guibas 3DPC 3DV 47 117 0 30 Nov 2018
The Perfect Match: 3D Point Cloud Matching with Smoothed Densities Zan Gojcic Caifa Zhou Jan Dirk Wegner A. Wieser 3DPC 3DV 57 455 0 16 Nov 2018
Multi-directional Geodesic Neural Networks via Equivariant Convolution A. Poulenard M. Ovsjanikov 3DH 32 90 0 01 Oct 2018
A Simple Approach to Intrinsic Correspondence Learning on Unstructured 3D Meshes I. Lim A.C.A. Dielen M. Campen Leif Kobbelt 47 95 0 18 Sep 2018
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors Haowen Deng Tolga Birdal Slobodan Ilic 3DPC 62 388 0 30 Aug 2018
Point Convolutional Neural Networks by Extension Operators Matan Atzmon Haggai Maron Y. Lipman 3DPC 31 537 0 27 Mar 2018
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching Haowen Deng Tolga Birdal Slobodan Ilic 3DV 3DPC 51 544 0 07 Feb 2018
$PointCNN: Convolution On $\mathcal{X}$-Transformed Points$ PointCNN: Convolution On $\mathcal{X}$ -Transformed Points Yangyan Li Rui Bu Mingchao Sun Wei Wu Xinhan Di Baoquan Chen 3DPC 189 2,429 0 23 Jan 2018
Learning Compact Geometric Features Marc Khoury Qian-Yi Zhou V. Koltun 3DPC 62 198 0 15 Sep 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 240 11,000 0 07 Jun 2017
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence Or Litany Tal Remez Emanuele Rodolà A. Bronstein M. Bronstein 3DPC 74 284 0 27 Apr 2017
Deformable Convolutional Networks Jifeng Dai Haozhi Qi Yuwen Xiong Yi Li Guodong Zhang Han Hu Yichen Wei 170 5,291 0 17 Mar 2017
Cloud Dictionary: Sparse Coding and Modeling for Point Clouds Or Litany Tal Remez A. Bronstein 24 8 0 15 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 371 14,191 0 02 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 334 1,813 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 458 3,264 0 24 Nov 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 223 7,622 0 30 Jun 2016
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets Srikrishna Karanam Mengran Gou Ziyan Wu Angels Rates-Borras Mario Sznaier Richard J. Radke 58 1,008 0 31 May 2016
Learning shape correspondence with anisotropic convolutional neural networks Davide Boscaini Jonathan Masci Emanuele Rodolà M. Bronstein 3DPC 93 506 0 20 May 2016
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions Andy Zeng Shuran Song Matthias Nießner Matthew Fisher Jianxiong Xiao Thomas Funkhouser 3DV 3DPC 53 980 0 27 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.1K 192,638 0 10 Dec 2015
Deep Convolutional Networks on Graph-Structured Data Mikael Henaff Joan Bruna Yann LeCun GNN 109 1,584 0 16 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 226 43,154 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 530 149,474 0 22 Dec 2014
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 107 4,856 0 21 Dec 2013
Geodesics in Heat Keenan Crane C. Weischedel M. Wardetzky 85 497 0 24 Apr 2012