Augmented Reality Sandbox
William Fleming, Harry Atwal, Yunkai Xaio, Renee Faust, Kevin Gay, Aljohnel Labsan, – CS and MS CSIS Students, Dr. Karl Ricanek – CS Faculty
PCB Circuit Board Vision System
Kevin Gay – CS Student, Jessica Baron – Clemson U., Dr. Karl Ricanek – CS Faculty
Tattoo & Piercing Dataset
Renee Faust, Kevin Gay, Harry Atwai, Yunkai Xaio, William Fleming, Aljohnel Labsan – CS and MS CSIS Students, Dr. Karl Ricanek – CS Faculty
The “Moxie” is a project that several students, including Harry Atwal, Yunkai Xiao, Nick Houghton, Reni Faust, and Ashley Teague, built in a couple weeks. It is a drink mixer that is voice controlled and ran by an Amazon Echo. It takes drink orders and can tell you information about lab members, important figures, and other information.
Detecting Body Mass Index From Facial Features
Detecting Biological Age From Facial Features
Deep Fake Detection
Invasive Plantlike Species Detection
Because AI models are data-driven, the predictions or estimations made by the model will conform to the characteristics of the training data. In our study of algorithmic bias, we examine the sources of bias in modern deep neural networks and develop techniques for mitigating such bias.
Deep Learning Augmentation Policies
Deep learning requires the use of large datasets in order to train an accurate model. Data augmentation policies manipulate training data to effectively increase the size of the dataset and generalize the model while improving accuracy. This project involves using an evolutionary process to learn data manipulation techniques that improves AI decisions.
Data Collection Events
The Face Aging Group finds festivals to gather facial and survey data. This data helps propel our research in biometrics.