83 citations · 164 across the 4 of their papers we have counts for
4 papers
ExprGAN: Facial Expression Editing with Controllable Expression Intensity
Hui Ding, Kumar Sricharan, Rama Chellappa
Facial expression editing is a challenging task as it needs a high-level semantic understanding of the input face image. In conventional methods, either paired training data is req…
Semi-supervised Conditional GANs
Kumar Sricharan, Raja Bala, Matthew Shreve +3
We introduce a new model for building conditional generative models in a semi-supervised setting to conditionally generate data given attributes by adapting the GAN framework. The…
Ensemble Estimation of Distributional Functionals via -Nearest Neighbors
Kevin R. Moon, Kumar Sricharan, Alfred O. Hero
The problem of accurate nonparametric estimation of distributional functionals (integral functionals of one or more probability distributions) has received recent interest due to t…
Recognizing Abnormal Heart Sounds Using Deep Learning
Jonathan Rubin, Rui Abreu, Anurag Ganguli +3
The work presented here applies deep learning to the task of automated cardiac auscultation, i.e. recognizing abnormalities in heart sounds. We describe an automated heart sound cl…