Spectral Coarsening of Geometric Operators

8 May 2019

Papers citing "Spectral Coarsening of Geometric Operators"

7 / 7 papers shown

Title
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,904 0 25 Aug 2017
Efficient Deformable Shape Correspondence via Kernel Matching Zorah Lähner Matthias Vestner A. Boyarski Or Litany Ron Slossberg ... Emanuele Rodolà A. Bronstein M. Bronstein Ron Kimmel Daniel Cremers 3DPC 41 120 0 25 Jul 2017
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence Or Litany Tal Remez Emanuele Rodolà A. Bronstein M. Bronstein 3DPC 149 286 0 27 Apr 2017
EMNIST: an extension of MNIST to handwritten letters Gregory Cohen Saeed Afshar J. Tapson André van Schaik 63 720 0 17 Feb 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 810 3,287 0 24 Nov 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 350 7,655 0 30 Jun 2016
Thingi10K: A Dataset of 10,000 3D-Printing Models Qingnan Zhou Alec Jacobson 56 385 0 16 May 2016