Émeline Pouyet

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification 2015 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 2015 Sergey Ioffe
Christian Szegedy
1
+ PDF Chat Learning to generate chairs with convolutional neural networks 2015 Alexey Dosovitskiy
Jost Tobias Springenberg
Thomas Brox
1
+ PDF Chat Fully convolutional networks for semantic segmentation 2015 Jonathan Long
Evan Shelhamer
Trevor Darrell
1
+ Empirical Evaluation of Rectified Activations in Convolutional Network 2015 Bing Xu
Naiyan Wang
Tianqi Chen
Mu Li
1
+ PDF Chat Going deeper with convolutions 2015 Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
1
+ PDF Chat Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information 2006 Emmanuel J. Candès
Justin Romberg
Terence Tao
1
+ PDF Chat Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches 2012 José M. Bioucas‐Dias
Antonio Plaza
Nicolas Dobigeon
M. Parente
Qian Du
Paul Gader
Jocelyn Chanussot
1
+ Generalized Ricci curvature based sampling and reconstruction of images 2015 Aijin Lin
Bin Luo
C. Jielin Zhang
D. Emil Saucan
1
+ PDF Chat Bi-level Protected Compressive Sampling 2016 Leo Yu Zhang
Kwok‐Wo Wong
Yushu Zhang
Jiantao Zhou
1
+ PDF Chat Perceptual Losses for Real-Time Style Transfer and Super-Resolution 2016 Justin Johnson
Alexandre Alahi
Li Fei-Fei
1
+ PDF Chat Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network 2016 Wenzhe Shi
José Caballero
Ferenc Huszár
Johannes Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
1
+ Semantic Image Inpainting with Perceptual and Contextual Losses. 2016 Raymond A. Yeh
Chen Chen
Teck-Yian Lim
Mark Hasegawa–Johnson
N. Minh
1
+ DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing 2016 Michael Iliadis
Leonidas Spinoulas
Aggelos K. Katsaggelos
1
+ From One-Trick Ponies to All-Rounders: On-Demand Learning for Image Restoration. 2016 Ruohan Gao
Kristen Grauman
1
+ PDF Chat On-demand Learning for Deep Image Restoration 2017 Ruohan Gao
Kristen Grauman
1
+ DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion 2019 Shreyas S. Shivakumar
Ty Nguyen
Ian D. Miller
Steven W. Chen
Vijay Kumar
Camillo J. Taylor
1
+ Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 2015 Sergey Ioffe
Christian Szegedy
1
+ On-Demand Learning for Deep Image Restoration 2016 Ruohan Gao
Kristen Grauman
1
+ PDF Chat Multi-Modal Image Processing Based on Coupled Dictionary Learning 2018 Pingfan Song
Miguel R. D. Rodrigues
1
+ PDF Chat Context Encoders: Feature Learning by Inpainting 2016 Deepak Pathak
Philipp Krähenbühl
Jeff Donahue
Trevor Darrell
Alexei A. Efros
1
+ PDF Chat Deep fully-connected networks for video compressive sensing 2017 Michael Iliadis
Leonidas Spinoulas
Aggelos K. Katsaggelos
1
+ PDF Chat DeepBinaryMask: Learning a binary mask for video compressive sensing 2019 Michael Iliadis
Leonidas Spinoulas
Aggelos K. Katsaggelos
1
+ PDF Chat DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion 2019 Shreyas S. Shivakumar
Ty Nguyen
Ian D. Miller
Steven W. Chen
Vijay Kumar
Camillo J. Taylor
1
+ Compressed sensing 2006 David L. Donoho
1
+ DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing 2016 Michael Iliadis
Leonidas Spinoulas
Aggelos K. Katsaggelos
1
+ Fully Convolutional Networks for Semantic Segmentation 2014 J. D. Long
Evan Shelhamer
Trevor Darrell
1