3 citations · 3 across the 2 of their papers we have counts for
4 papers
Frequency Domain-based Perceptual Loss for Super Resolution
Shane D. Sims
We introduce Frequency Domain Perceptual Loss (FDPL), a loss function for single image super resolution (SR). Unlike previous loss functions used to train SR models, which are all…
A Neural Architecture for Detecting Confusion in Eye-tracking Data
Shane Sims, Cristina Conati
Encouraged by the success of deep learning in a variety of domains, we investigate a novel application of its methods on the effectiveness of detecting user confusion in eye-tracki…
Predicting Confusion from Eye-Tracking Data with Recurrent Neural Networks
Shane D. Sims, Vanessa Putnam, Cristina Conati
Encouraged by the success of deep learning in a variety of domains, we investigate the suitability and effectiveness of Recurrent Neural Networks (RNNs) in a domain where deep lear…
Learn More, Pay Less! Lessons Learned from Applying the Wizard-of-Oz Technique for Exploring Mobile App Requirements
Zahra Shakeri Hossein Abad, Shane D. V. Sims, Abdullah Cheema +2
Mobile apps have exploded in popularity, encouraging developers to provide content to the massive user base of the main app stores. Although there exist automated techniques that c…