Search Results for author: Shibin Parameswaran

Found 4 papers, 0 papers with code

Image quality assessment for determining efficacy and limitations of Super-Resolution Convolutional Neural Network (SRCNN)

no code implementations14 May 2019 Chris M. Ward, Josh Harguess, Brendan Crabb, Shibin Parameswaran

Traditional metrics for evaluating the efficacy of image processing techniques do not lend themselves to understanding the capabilities and limitations of modern image processing methods - particularly those enabled by deep learning.

Image Quality Assessment SSIM +1

Image denoising with generalized Gaussian mixture model patch priors

no code implementations5 Feb 2018 Charles-Alban Deledalle, Shibin Parameswaran, Truong Q. Nguyen

In this paper, we show that a generalized Gaussian mixture model (GGMM) captures the underlying distribution of patches better than a GMM.

Image Denoising Image Restoration

Large Margin Multi-Task Metric Learning

no code implementations NeurIPS 2010 Shibin Parameswaran, Kilian Q. Weinberger

Multi-task learning (MTL) improves the prediction performance on multiple, different but related, learning problems through shared parameters or representations.

Metric Learning Multi-Task Learning

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