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CSVideoNet: A Real-time End-to-end Learning Framework for
  High-frame-rate Video Compressive Sensing
v1v2v3v4v5 (latest)

CSVideoNet: A Real-time End-to-end Learning Framework for High-frame-rate Video Compressive Sensing

15 December 2016
Kai Xu
Fengbo Ren
ArXiv (abs)PDFHTMLGithub (21★)

Papers citing "CSVideoNet: A Real-time End-to-end Learning Framework for High-frame-rate Video Compressive Sensing"

3 / 3 papers shown
Title
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
Rank Minimization for Snapshot Compressive Imaging
Rank Minimization for Snapshot Compressive Imaging
Yang Liu
Xin Yuan
J. Suo
D. Brady
Qionghai Dai
75
332
0
20 Jul 2018
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
60
117
0
15 Aug 2017
1