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

Suhas Lohit

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

7 / 7 papers shown

Title
Learning to Invert: Signal Recovery via Deep Convolutional Networks Ali Mousavi Richard G. Baraniuk 104 286 0 14 Jan 2017
A Deep Learning Approach to Structured Signal Recovery Ali Mousavi Ankit B. Patel Richard G. Baraniuk 39 441 0 17 Aug 2015
Dense Optical Flow Prediction from a Static Image Jacob Walker Abhinav Gupta M. Hebert 63 210 0 02 May 2015
Designing Deep Networks for Surface Normal Estimation Xinyu Wang David Fouhey Abhinav Gupta 3DV SSL 209 353 0 18 Nov 2014
High-Speed Tracking with Kernelized Correlation Filters João F. Henriques Rui Caseiro P. Martins Jorge Batista 61 5,126 0 30 Apr 2014
PANDA: Pose Aligned Networks for Deep Attribute Modeling Ning Zhang Manohar Paluri MarcÁurelio Ranzato Trevor Darrell Lubomir D. Bourdev CVBM 119 530 0 21 Nov 2013
Improved Total Variation based Image Compressive Sensing Recovery by Nonlocal Regularization Jian Zhang Shaohui Liu Debin Zhao Ruiqin Xiong Siwei Ma 35 97 0 18 Aug 2012