1 citations · 1 across the 2 of their papers we have counts for
4 papers
PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters
Qun Liu, Edward Collier, Supratik Mukhopadhyay
Due to the sparsity of features, noise has proven to be a great inhibitor in the classification of handwritten characters. To combat this, most techniques perform denoising of the…
Improving Prediction Accuracy in Building Performance Models Using Generative Adversarial Networks (GANs)
Chanachok Chokwitthaya, Edward Collier, Yimin Zhu +1
Building performance discrepancies between building design and operation are one of the causes that lead many new designs fail to achieve their goals and objectives. One of main fa…
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images
Edward Collier, Kate Duffy, Sangram Ganguly +8
Machine learning has proven to be useful in classification and segmentation of images. In this paper, we evaluate a training methodology for pixel-wise segmentation on high resolut…
CactusNets: Layer Applicability as a Metric for Transfer Learning
Edward Collier, Robert DiBiano, Supratik Mukhopadhyay
Deep neural networks trained over large datasets learn features that are both generic to the whole dataset, and specific to individual classes in the dataset. Learned features tend…