research
∙
04/22/2019
Adaptive Transform Domain Image Super-resolution Via Orthogonally Regularized Deep Networks
Deep learning methods, in particular, trained Convolutional Neural Netwo...
share
research
∙
02/08/2018
Deep Image Super Resolution via Natural Image Priors
Single image super-resolution (SR) via deep learning has recently gained...
research
∙
02/06/2018
Orthogonally Regularized Deep Networks For Image Super-resolution
Deep learning methods, in particular trained Convolutional Neural Networ...
research
∙
10/04/2016
Sparsity-based Color Image Super Resolution via Exploiting Cross Channel Constraints
Sparsity constrained single image super-resolution (SR) has been of much...
research
∙
09/12/2016
Adaptive matching pursuit for sparse signal recovery
Spike and Slab priors have been of much recent interest in signal proces...
research
∙
02/16/2015
ICR: Iterative Convex Refinement for Sparse Signal Recovery Using Spike and Slab Priors
In this letter, we address sparse signal recovery using spike and slab p...
research
∙
02/03/2015