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Generalizing the Convolution Operator to extend CNNs to Irregular
  Domains
v1v2v3v4 (latest)

Generalizing the Convolution Operator to extend CNNs to Irregular Domains

3 June 2016
Jean-Charles Vialatte
Vincent Gripon
G. Mercier
ArXiv (abs)PDFHTML

Papers citing "Generalizing the Convolution Operator to extend CNNs to Irregular Domains"

5 / 5 papers shown
Title
Deep Convolutional Networks on Graph-Structured Data
Deep Convolutional Networks on Graph-Structured Data
Mikael Henaff
Joan Bruna
Yann LeCun
GNN
157
1,587
0
16 Jun 2015
Geodesic convolutional neural networks on Riemannian manifolds
Geodesic convolutional neural networks on Riemannian manifolds
Jonathan Masci
Davide Boscaini
M. Bronstein
P. Vandergheynst
68
60
0
26 Jan 2015
Spatially-sparse convolutional neural networks
Spatially-sparse convolutional neural networks
Benjamin Graham
89
231
0
22 Sep 2014
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
225
4,882
0
21 Dec 2013
The Emerging Field of Signal Processing on Graphs: Extending
  High-Dimensional Data Analysis to Networks and Other Irregular Domains
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains
D. Shuman
S. K. Narang
P. Frossard
Antonio Ortega
P. Vandergheynst
133
3,976
0
31 Oct 2012
1