Parallel Transport Convolution: A New Tool for Convolutional Neural Networks on Manifolds

21 May 2018

Papers citing "Parallel Transport Convolution: A New Tool for Convolutional Neural Networks on Manifolds"

7 / 7 papers shown

Title
Laplacian2Mesh: Laplacian-Based Mesh Understanding Qiujie Dong Zixiong Wang Manyi Li Junjie Gao Shuangmin Chen Zhenyu Shu Shiqing Xin Changhe Tu Wenping Wang 14 25 0 01 Feb 2022
Turing approximations, toric isometric embeddings & manifold convolutions P. Suárez-Serrato 16 1 0 05 Oct 2021
CNNs on Surfaces using Rotation-Equivariant Features R. Wiersma E. Eisemann Klaus Hildebrandt 15 69 0 02 Jun 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 100 127 0 11 Mar 2020
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 23 402 0 11 Feb 2019
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 13 21 0 03 Dec 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 238 3,234 0 24 Nov 2016