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End-to-end learning of energy-based representations for irregularly-sampled signals and images

End-to-end learning of energy-based representations for irregularly-sampled signals and images

Ronan Fablet
Lucas Drumetz
F. Rousseau
ArXiv (abs)PDFHTML

Papers citing "End-to-end learning of energy-based representations for irregularly-sampled signals and images"

5 / 5 papers shown
Title
Image Inpainting for Irregular Holes Using Partial Convolutions
Image Inpainting for Irregular Holes Using Partial Convolutions
Guilin Liu
F. Reda
Kevin J. Shih
Ting-Chun Wang
Andrew Tao
Bryan Catanzaro
209
1,931
0
20 Apr 2018
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
353
7,655
0
30 Jun 2016
Generalizing the Convolution Operator to extend CNNs to Irregular Domains
Generalizing the Convolution Operator to extend CNNs to Irregular Domains
Jean-Charles Vialatte
Vincent Gripon
G. Mercier
30
29
0
03 Jun 2016
On learning optimized reaction diffusion processes for effective image restoration
On learning optimized reaction diffusion processes for effective image restoration
Yunjin Chen
Wei Yu
Thomas Pock
DiffM
54
323
0
19 Mar 2015
Low-rank Matrix Completion using Alternating Minimization
Low-rank Matrix Completion using Alternating Minimization
Prateek Jain
Praneeth Netrapalli
Sujay Sanghavi
224
1,066
0
03 Dec 2012