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Video Compressive Sensing for Spatial Multiplexing Cameras using
  Motion-Flow Models
v1v2 (latest)

Video Compressive Sensing for Spatial Multiplexing Cameras using Motion-Flow Models

9 March 2015
Aswin C. Sankaranarayanan
Lina Xu
Christoph Studer
Yun Li
K. Kelly
Richard G. Baraniuk
ArXiv (abs)PDFHTML

Papers citing "Video Compressive Sensing for Spatial Multiplexing Cameras using Motion-Flow Models"

4 / 4 papers shown
Dynamic Proximal Unrolling Network for Compressive Imaging
Dynamic Proximal Unrolling Network for Compressive Imaging
Yixiao Yang
R. Tao
Kaixuan Wei
Ying Fu
329
11
0
23 Jul 2021
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 networkNeurocomputing (Neurocomputing), 2020
Fangliang Bai
Jinchao Liu
Xiaojuan Liu
Margarita Osadchy
Chao Wang
S. Gibson
230
2
0
27 Apr 2020
Fast Fourier single-pixel imaging using binary illumination
Fast Fourier single-pixel imaging using binary illumination
Zibang Zhang
Xueying Wang
Jingang Zhong
88
5
0
09 Dec 2016
Adaptive foveated single-pixel imaging with dynamic super-sampling
Adaptive foveated single-pixel imaging with dynamic super-sampling
D. Phillips
Ming-jie Sun
Jonathan M. Taylor
M. Edgar
S. Barnett
G. Gibson
M. Padgett
193
240
0
27 Jul 2016
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