56 citations · 61 across the 7 of their papers we have counts for
12 papers
Collisionless Pattern Discovery in Robot Swarms Using Deep Reinforcement Learning
Nelson Sharma, Aswini Ghosh, Rajiv Misra +2
We present a deep reinforcement learning-based framework for automatically discovering patterns available in any given initial configuration of fat robot swarms. In particular, we…
A One-Shot Learning Framework for Assessment of Fibrillar Collagen from Second Harmonic Generation Images of an Infarcted Myocardium
Qun Liu, Supratik Mukhopadhyay, Maria Ximena Bastidas Rodriguez +4
Myocardial infarction (MI) is a scientific term that refers to heart attack. In this study, we infer highly relevant second harmonic generation (SHG) cues from collagen fibers exhi…
DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification
Qun Liu, Saikat Basu, Sangram Ganguly +4
Satellite image classification is a challenging problem that lies at the crossroads of remote sensing, computer vision, and machine learning. Due to the high variability inherent i…
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…
Why do you take that route?
Alimire Nabijiang, Supratik Mukhopadhyay, Yimin Zhu +3
The purpose of this paper is to determine whether a particular context factor among the variables that a researcher is interested in causally affects the route choice behavior of d…