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DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural
  Networks

DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural Networks

11 July 2017
Ali Mousavi
Gautam Dasarathy
Richard G. Baraniuk
ArXivPDFHTML

Papers citing "DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural Networks"

21 / 21 papers shown
Title
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems
Eric Chen
Xi Chen
A. Maleki
S. Jalali
38
0
0
08 Jan 2025
Compressed Sensor Caching and Collaborative Sparse Data Recovery with
  Anchor Alignment
Compressed Sensor Caching and Collaborative Sparse Data Recovery with Anchor Alignment
Yi-Jen Yang
Ming-Hsun Yang
Jwo-Yuh Wu
Y.-W. Peter Hong
47
0
0
14 Jun 2024
Unrolled Compressed Blind-Deconvolution
Unrolled Compressed Blind-Deconvolution
Bahareh Tolooshams
S. Mulleti
Demba E. Ba
Yonina C. Eldar
19
6
0
28 Sep 2022
CSformer: Bridging Convolution and Transformer for Compressive Sensing
CSformer: Bridging Convolution and Transformer for Compressive Sensing
Dongjie Ye
Zhangkai Ni
Hanli Wang
Jian Zhang
Shiqi Wang
Sam Kwong
ViT
MedIm
37
52
0
31 Dec 2021
ADMM-DAD net: a deep unfolding network for analysis compressed sensing
ADMM-DAD net: a deep unfolding network for analysis compressed sensing
Vicky Kouni
Georgios Paraskevopoulos
Holger Rauhut
G. C. Alexandropoulos
37
18
0
13 Oct 2021
Deep Learning Techniques for Compressive Sensing-Based Reconstruction
  and Inference -- A Ubiquitous Systems Perspective
Deep Learning Techniques for Compressive Sensing-Based Reconstruction and Inference -- A Ubiquitous Systems Perspective
Alina L. Machidon
V. Pejović
30
6
0
26 May 2021
DAEs for Linear Inverse Problems: Improved Recovery with Provable
  Guarantees
DAEs for Linear Inverse Problems: Improved Recovery with Provable Guarantees
J. Dhaliwal
Kyle Hambrook
11
0
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
16
7
0
14 Oct 2020
Jointly Sparse Signal Recovery and Support Recovery via Deep Learning
  with Applications in MIMO-based Grant-Free Random Access
Jointly Sparse Signal Recovery and Support Recovery via Deep Learning with Applications in MIMO-based Grant-Free Random Access
Ying Cui
Shuaichao Li
Wanqing Zhang
24
62
0
05 Aug 2020
Drug discovery with explainable artificial intelligence
Drug discovery with explainable artificial intelligence
José Jiménez-Luna
F. Grisoni
G. Schneider
30
626
0
01 Jul 2020
Deep Learning Techniques for Inverse Problems in Imaging
Deep Learning Techniques for Inverse Problems in Imaging
Greg Ongie
A. Jalal
Christopher A. Metzler
Richard G. Baraniuk
A. Dimakis
Rebecca Willett
13
521
0
12 May 2020
LSHR-Net: a hardware-friendly solution for high-resolution computational
  imaging using a mixed-weights neural network
LSHR-Net: a hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network
Fangliang Bai
Jinchao Liu
Xiaojuan Liu
Margarita Osadchy
Chao Wang
S. Gibson
36
2
0
27 Apr 2020
Deep Compressed Sensing
Deep Compressed Sensing
Yan Wu
Mihaela Rosca
Timothy Lillicrap
GAN
30
162
0
16 May 2019
A Deep Learning Framework for Single-Sided Sound Speed Inversion in
  Medical Ultrasound
A Deep Learning Framework for Single-Sided Sound Speed Inversion in Medical Ultrasound
Micha Feigin-Almon
Daniel Freedman
B. Anthony
SyDa
MedIm
19
86
0
30 Sep 2018
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling
Shanshan Wu
A. Dimakis
Sujay Sanghavi
Felix X. Yu
D. Holtmann-Rice
Dmitry Storcheus
Afshin Rostamizadeh
Sanjiv Kumar
SSL
23
53
0
26 Jun 2018
Explanations based on the Missing: Towards Contrastive Explanations with
  Pertinent Negatives
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives
Amit Dhurandhar
Pin-Yu Chen
Ronny Luss
Chun-Chen Tu
Pai-Shun Ting
Karthikeyan Shanmugam
Payel Das
FAtt
15
586
0
21 Feb 2018
Full Image Recover for Block-Based Compressive Sensing
Full Image Recover for Block-Based Compressive Sensing
Xuemei Xie
Chenye Wang
Jiang Du
Guangming Shi
38
16
0
01 Feb 2018
Perceptual Compressive Sensing
Perceptual Compressive Sensing
Jiang Du
Xuemei Xie
Chenye Wang
Guangming Shi
24
9
0
01 Feb 2018
Fully Convolutional Measurement Network for Compressive Sensing Image
  Reconstruction
Fully Convolutional Measurement Network for Compressive Sensing Image Reconstruction
Jiang Du
Xuemei Xie
Chenye Wang
Guangming Shi
Xun Xu
Yuxiang Wang
35
61
0
21 Nov 2017
Convolutional Neural Networks for Non-iterative Reconstruction of
  Compressively Sensed Images
Convolutional Neural Networks for Non-iterative Reconstruction of Compressively Sensed Images
Suhas Lohit
K. Kulkarni
Ronan Kerviche
Pavan Turaga
A. Ashok
9
114
0
15 Aug 2017
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
234
5,180
0
16 Sep 2016
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