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Daniel McKee

Daniel McKee
Previous degree(s): 
BS, Computer Science, Mathematics, Duke University
PhD start year: 
Award Year: 
Computer Science
Research Advisor(s): 
Svetlana Lazebnik
Alexander Schwing
Description of Research: 

Computer vision research has allowed for computational algorithms that recognize and detect objects in images and videos. Many of these advances have been driven by using deep neural networks to model data and have manifested in numerous new technologies from facial recognition to autonomous vehicles. My research interests include applying deep learning to developing areas of vision such as image generation and video understanding. Recently, I am interested in applications of generative adversarial networks to image-toimage translation and domain adaptation.