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ReconNet: Non-Iterative Reconstruction of Images from Compressively
  Sensed Random Measurements

ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements

26 January 2016
K. Kulkarni
Suhas Lohit
Pavan Turaga
Ronan Kerviche
A. Ashok
    AI4TS
    3DV
ArXivPDFHTML

Papers citing "ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Random Measurements"

6 / 6 papers shown
Title
Learning to Invert: Signal Recovery via Deep Convolutional Networks
Learning to Invert: Signal Recovery via Deep Convolutional Networks
Ali Mousavi
Richard G. Baraniuk
92
285
0
14 Jan 2017
A Deep Learning Approach to Structured Signal Recovery
A Deep Learning Approach to Structured Signal Recovery
Ali Mousavi
Ankit B. Patel
Richard G. Baraniuk
29
441
0
17 Aug 2015
Dense Optical Flow Prediction from a Static Image
Dense Optical Flow Prediction from a Static Image
Jacob Walker
Abhinav Gupta
M. Hebert
53
210
0
02 May 2015
Designing Deep Networks for Surface Normal Estimation
Designing Deep Networks for Surface Normal Estimation
Xinyu Wang
David Fouhey
Abhinav Gupta
3DV
SSL
202
353
0
18 Nov 2014
PANDA: Pose Aligned Networks for Deep Attribute Modeling
PANDA: Pose Aligned Networks for Deep Attribute Modeling
Ning Zhang
Manohar Paluri
MarcÁurelio Ranzato
Trevor Darrell
Lubomir D. Bourdev
CVBM
78
530
0
21 Nov 2013
Improved Total Variation based Image Compressive Sensing Recovery by
  Nonlocal Regularization
Improved Total Variation based Image Compressive Sensing Recovery by Nonlocal Regularization
Jian Zhang
Shaohui Liu
Debin Zhao
Ruiqin Xiong
Siwei Ma
33
97
0
18 Aug 2012
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