34 citations · 34 across the 1 of their papers we have counts for
4 papers
Enhanced Signal Recovery via Sparsity Inducing Image Priors
Hojjat Seyed Mousavi
Parsimony in signal representation is a topic of active research. Sparse signal processing and representation is the outcome of this line of research which has many applications in…
Deep Image Super Resolution via Natural Image Priors
Hojjat S. Mousavi, Tiantong Guo, Vishal Monga
Single image super-resolution (SR) via deep learning has recently gained significant attention in the literature. Convolutional neural networks (CNNs) are typically learned to repr…
Orthogonally Regularized Deep Networks For Image Super-resolution
Tiantong Guo, Hojjat S. Mousavi, Vishal Monga
Deep learning methods, in particular trained Convolutional Neural Networks (CNNs) have recently been shown to produce compelling state-of-the-art results for single image Super-Res…
ICR: Iterative Convex Refinement for Sparse Signal Recovery Using Spike and Slab Priors
Hojjat S. Mousavi, Vishal Monga, Trac D. Tran
In this letter, we address sparse signal recovery using spike and slab priors. In particular, we focus on a Bayesian framework where sparsity is enforced on reconstruction coeffici…