ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1601.06892
  4. Cited By
ReconNet: Non-Iterative Reconstruction of Images from Compressively
  Sensed Random Measurements
v1v2 (latest)

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

26 January 2016
K. Kulkarni
Suhas Lohit
Pavan Turaga
Ronan Kerviche
A. Ashok
    AI4TS3DV
ArXiv (abs)PDFHTML

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

26 / 26 papers shown
Title
Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form
  Deep Neural Networks
Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks
Ziyang Zheng
Wenrui Dai
Duoduo Xue
Chenglin Li
Junni Zou
H. Xiong
95
18
0
25 Apr 2022
Memory-Efficient Network for Large-scale Video Compressive Sensing
Memory-Efficient Network for Large-scale Video Compressive Sensing
Ziheng Cheng
Bo Chen
Guanliang Liu
Hao Zhang
Ruiying Lu
Zhengjue Wang
Xin Yuan
93
63
0
04 Mar 2021
Plug-and-Play Algorithms for Video Snapshot Compressive Imaging
Plug-and-Play Algorithms for Video Snapshot Compressive Imaging
Xin Yuan
Yang Liu
J. Suo
F. Durand
Qionghai Dai
93
79
0
13 Jan 2021
AMPA-Net: Optimization-Inspired Attention Neural Network for Deep
  Compressed Sensing
AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed Sensing
Nanyu Li
Charles C. Zhou
131
7
0
14 Oct 2020
Multi-Scale Deep Compressive Imaging
Multi-Scale Deep Compressive Imaging
Thuong Nguyen Canh
B. Jeon
60
17
0
03 Aug 2020
Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging
Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging
Xin Yuan
Yang Liu
J. Suo
Qionghai Dai
68
184
0
30 Mar 2020
Deep One-bit Compressive Autoencoding
Deep One-bit Compressive Autoencoding
Shahin Khobahi
Arindam Bose
M. Soltanalian
15
3
0
10 Dec 2019
Error Resilient Deep Compressive Sensing
Error Resilient Deep Compressive Sensing
Thuong
Thuong Nguyen Canh
Trinh van Chien
Quyet Bui Van
71
0
0
28 Nov 2019
Model-Aware Deep Architectures for One-Bit Compressive Variational
  Autoencoding
Model-Aware Deep Architectures for One-Bit Compressive Variational Autoencoding
Shahin Khobahi
M. Soltanalian
72
13
0
27 Nov 2019
Coupled Analysis Dictionary Learning to inductively learn inversion:
  Application to real-time reconstruction of Biomedical signals
Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals
Kavya Gupta
Brojeshwar Bhowmick
A. Majumdar
98
2
0
24 Dec 2018
Multi-Scale Deep Compressive Sensing Network
Multi-Scale Deep Compressive Sensing Network
Thuong Nguyen Canh
B. Jeon
109
19
0
15 Sep 2018
Deep neural network based sparse measurement matrix for image compressed
  sensing
Deep neural network based sparse measurement matrix for image compressed sensing
Wenxue Cui
F. Jiang
Xinwei Gao
Wen Tao
Debin Zhao
60
17
0
19 Jun 2018
Fast and Accurate Reconstruction of Compressed Color Light Field
Fast and Accurate Reconstruction of Compressed Color Light Field
Ofir Nabati
D. Mendlovic
Raja Giryes
60
23
0
31 Jan 2018
ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep
  Learning
ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning
Xiaotong Lu
W. Dong
Peiyao Wang
Guangming Shi
Xuemei Xie
83
29
0
31 Jan 2018
Convolutional neural networks that teach microscopes how to image
Convolutional neural networks that teach microscopes how to image
R. Horstmeyer
Richard Y. Chen
Barbara Kappes
B. Judkewitz
130
59
0
21 Sep 2017
Deep Learning-Guided Image Reconstruction from Incomplete Data
Deep Learning-Guided Image Reconstruction from Incomplete Data
B. Kelly
Thomas P. Matthews
M. Anastasio
68
54
0
02 Sep 2017
High Efficient Reconstruction of Single-shot T2 Mapping from
  OverLapping-Echo Detachment Planar Imaging Based on Deep Residual Network
High Efficient Reconstruction of Single-shot T2 Mapping from OverLapping-Echo Detachment Planar Imaging Based on Deep Residual Network
C. Cai
Yiqing Zeng
Chao Wang
S. Cai
Jun Zhang
Zhong Chen
Xinghao Ding
J. Zhong
52
1
0
17 Aug 2017
DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural
  Networks
DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural Networks
Ali Mousavi
Gautam Dasarathy
Richard G. Baraniuk
133
80
0
11 Jul 2017
Learned D-AMP: Principled Neural Network based Compressive Image
  Recovery
Learned D-AMP: Principled Neural Network based Compressive Image Recovery
Christopher A. Metzler
Ali Mousavi
Richard G. Baraniuk
104
286
0
21 Apr 2017
Block Compressive Sensing of Image and Video with Nonlocal Lagrangian
  Multiplier and Patch-based Sparse Representation
Block Compressive Sensing of Image and Video with Nonlocal Lagrangian Multiplier and Patch-based Sparse Representation
Chien Van Trinh
Khanh Quoc Dinh
B. Jeon
Martin Burger
42
21
0
15 Mar 2017
DR2-Net: Deep Residual Reconstruction Network for Image Compressive
  Sensing
DR2-Net: Deep Residual Reconstruction Network for Image Compressive Sensing
Hantao Yao
Feng Dai
Dongming Zhang
Yike Ma
Shiliang Zhang
Yongdong Zhang
Qi Tian
100
311
0
19 Feb 2017
Learning to Invert: Signal Recovery via Deep Convolutional Networks
Learning to Invert: Signal Recovery via Deep Convolutional Networks
Ali Mousavi
Richard G. Baraniuk
152
286
0
14 Jan 2017
Onsager-corrected deep learning for sparse linear inverse problems
Onsager-corrected deep learning for sparse linear inverse problems
M. Borgerding
Philip Schniter
76
92
0
20 Jul 2016
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing
Michael Iliadis
L. Spinoulas
Aggelos K. Katsaggelos
79
76
0
12 Jul 2016
Inferring Sparsity: Compressed Sensing using Generalized Restricted
  Boltzmann Machines
Inferring Sparsity: Compressed Sensing using Generalized Restricted Boltzmann Machines
Eric W. Tramel
Andre Manoel
F. Caltagirone
Marylou Gabrié
Florent Krzakala
107
21
0
13 Jun 2016
Deep Fully-Connected Networks for Video Compressive Sensing
Deep Fully-Connected Networks for Video Compressive Sensing
Michael Iliadis
L. Spinoulas
Aggelos K. Katsaggelos
110
196
0
16 Mar 2016
1