Video Compressed Sensing Using a Convolutional Neural Network
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Wuzhen Shi | Feng Jiang | Shaohui Liu | Debin Zhao | Shaohui Liu | Debin Zhao | F. Jiang | Wuzhen Shi
[1] Lu Gan. Block Compressed Sensing of Natural Images , 2007, 2007 15th International Conference on Digital Signal Processing.
[2] Namrata Vaswani,et al. LS-CS-Residual (LS-CS): Compressive Sensing on Least Squares Residual , 2009, IEEE Transactions on Signal Processing.
[3] Margaret H. Pinson,et al. Temporal Video Quality Model Accounting for Variable Frame Delay Distortions , 2014, IEEE Transactions on Broadcasting.
[4] James E. Fowler,et al. Residual Reconstruction for Block-Based Compressed Sensing of Video , 2011, 2011 Data Compression Conference.
[5] Chen Chen,et al. Compressed-sensing recovery of images and video using multihypothesis predictions , 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).
[6] Charless C. Fowlkes,et al. Contour Detection and Hierarchical Image Segmentation , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Fengbo Ren,et al. LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction , 2018, ECCV.
[8] Wen Gao,et al. Video Compressive Sensing Reconstruction via Reweighted Residual Sparsity , 2017, IEEE Transactions on Circuits and Systems for Video Technology.
[9] Ramesh Raskar,et al. Coded Strobing Photography: Compressive Sensing of High Speed Periodic Videos , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Rajiv Soundararajan,et al. Video Quality Assessment by Reduced Reference Spatio-Temporal Entropic Differencing , 2013, IEEE Transactions on Circuits and Systems for Video Technology.
[11] James E. Fowler,et al. Block-Based Compressed Sensing of Images and Video , 2012, Found. Trends Signal Process..
[12] S. Frick,et al. Compressed Sensing , 2014, Computer Vision, A Reference Guide.
[13] James E. Fowler,et al. Block Compressed Sensing of Images Using Directional Transforms , 2010, 2010 Data Compression Conference.
[14] Shree K. Nayar,et al. Video from a single coded exposure photograph using a learned over-complete dictionary , 2011, 2011 International Conference on Computer Vision.
[15] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[16] Wei Lu,et al. Modified-CS: Modifying compressive sensing for problems with partially known support , 2009, 2009 IEEE International Symposium on Information Theory.
[17] Feng Jiang,et al. Scalable Convolutional Neural Network for Image Compressed Sensing , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Wen Gao,et al. Group-Based Sparse Representation for Image Restoration , 2014, IEEE Transactions on Image Processing.
[19] Ting Sun,et al. Single-pixel imaging via compressive sampling , 2008, IEEE Signal Process. Mag..
[20] Alan C. Bovik,et al. Motion Tuned Spatio-Temporal Quality Assessment of Natural Videos , 2010, IEEE Transactions on Image Processing.
[21] Emmanuel J. Candès,et al. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies? , 2004, IEEE Transactions on Information Theory.
[22] Margaret H. Pinson,et al. A new standardized method for objectively measuring video quality , 2004, IEEE Transactions on Broadcasting.
[23] James E. Fowler,et al. Video Compressed Sensing with Multihypothesis , 2011, 2011 Data Compression Conference.
[24] Andrea Vedaldi,et al. MatConvNet: Convolutional Neural Networks for MATLAB , 2014, ACM Multimedia.
[25] Jian Sun,et al. Deep ADMM-Net for Compressive Sensing MRI , 2016, NIPS.
[26] Richard G. Baraniuk,et al. Compressive imaging for video representation and coding , 2006 .
[27] Richard G. Baraniuk,et al. A deep learning approach to structured signal recovery , 2015, 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton).
[28] Geoffrey E. Hinton,et al. Rectified Linear Units Improve Restricted Boltzmann Machines , 2010, ICML.
[29] Mathews Jacob,et al. Accelerated Dynamic MRI Exploiting Sparsity and Low-Rank Structure: k-t SLR , 2011, IEEE Transactions on Medical Imaging.
[30] Wuzhen Shi,et al. Deep networks for compressed image sensing , 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME).
[31] Feng Jiang,et al. Image Compressed Sensing Using Convolutional Neural Network , 2020, IEEE Transactions on Image Processing.
[32] Hancheng Lu,et al. FompNet: Compressive sensing reconstruction with deep learning over wireless fading channels , 2017, 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP).
[33] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[34] Pavan K. Turaga,et al. ReconNet: Non-Iterative Reconstruction of Images from Compressively Sensed Measurements , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Rama Chellappa,et al. P2C2: Programmable pixel compressive camera for high speed imaging , 2011, CVPR 2011.
[36] Bernard Ghanem,et al. ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.