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Deep Fully-Connected Networks for Video Compressive Sensing

Deep Fully-Connected Networks for Video Compressive Sensing

16 March 2016
Michael Iliadis
L. Spinoulas
Aggelos K. Katsaggelos
ArXivPDFHTML

Papers citing "Deep Fully-Connected Networks for Video Compressive Sensing"

4 / 4 papers shown
Title
Invertible Diffusion Models for Compressed Sensing
Invertible Diffusion Models for Compressed Sensing
Bin Chen
Zhenyu Zhang
Weiqi Li
Chen Zhao
Jiwen Yu
Shijie Zhao
Jie Chen
Jian Zhang
DiffM
87
5
0
25 Mar 2024
RODEO: Robust DE-aliasing autoencOder for Real-time Medical Image
  Reconstruction
RODEO: Robust DE-aliasing autoencOder for Real-time Medical Image Reconstruction
Janki Mehta
A. Majumdar
OOD
37
54
0
11 Dec 2019
A Deep Learning Approach to Structured Signal Recovery
A Deep Learning Approach to Structured Signal Recovery
Ali Mousavi
Ankit B. Patel
Richard G. Baraniuk
42
441
0
17 Aug 2015
Learning a Convolutional Neural Network for Non-uniform Motion Blur
  Removal
Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal
Jian Sun
Wenfei Cao
Zongben Xu
Jean Ponce
65
840
0
02 Mar 2015
1