Search Results for author: Hojjat S. Mousavi

Found 7 papers, 0 papers with code

Adaptive Transform Domain Image Super-resolution Via Orthogonally Regularized Deep Networks

no code implementations22 Apr 2019 Tiantong Guo, Hojjat S. Mousavi, Vishal Monga

As the first contribution, we show that DCT can be integrated into the network structure as a Convolutional DCT (CDCT) layer.

Image Super-Resolution

Deep Image Super Resolution via Natural Image Priors

no code implementations8 Feb 2018 Hojjat S. Mousavi, Tiantong Guo, Vishal Monga

Single image super-resolution (SR) via deep learning has recently gained significant attention in the literature.

Image Super-Resolution

Orthogonally Regularized Deep Networks For Image Super-resolution

no code implementations6 Feb 2018 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-Resolution (SR).

Image Super-Resolution

Adaptive matching pursuit for sparse signal recovery

no code implementations12 Sep 2016 Tiep H. Vu, Hojjat S. Mousavi, Vishal Monga

Spike and Slab priors have been of much recent interest in signal processing as a means of inducing sparsity in Bayesian inference.

Bayesian Inference

ICR: Iterative Convex Refinement for Sparse Signal Recovery Using Spike and Slab Priors

no code implementations16 Feb 2015 Hojjat S. Mousavi, Vishal Monga, Trac. D. Tran

Essentially, ICR solves a sequence of convex optimization problems such that sequence of solutions converges to a sub-optimal solution of the original hard optimization problem.

DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification

no code implementations3 Feb 2015 Tiep H. Vu, Hojjat S. Mousavi, Vishal Monga, UK Arvind Rao, Ganesh Rao

In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each problem as well as presence of rich geometrical structure.

Classification Dictionary Learning +3

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