I am an assistant professor in the Department of Computer Science at the University of Georgia since 2016. My research interests lie in the area of image and shape analysis. I am interested in developing computational methodologies for image understanding problems in the fields of medical image analysis and computer vision. I am also excited about interdisciplinary research, collaborating and working with researchers from related fields.
Before joining UGA, I received my Ph.D. degree in Computer Science from the University of North Carolina at Chapel Hill, under the supervision of Dr. Marc Niethammer. I am a recipient of the 2014 MICCAI young scientist award (a.k.a., student best paper award) and a 2015 UNC dissertation completion fellowship.
I am interested in theory development and applications to medical as well as to general computer vision problems. Currently, my research focuses on spatiotemporal image and shape analysis, statistical estimation and testing on manifolds, and atlas-building. In particular, my research interests lie in
Parametric regression on the Grassmannian,
Estimating spatiotemporal changes from image data,
Detecting and locating shape differences between populations,
Statistical testing for longitudinal data,
Statistical atlas with application to upper airway obstruction.
I am also interested in physically-based modeling, simulation, and animation in computer graphics. I have worked on physically-based fire simulations.
Parametric Regression on the Grassmannian
Y. Hong, N. Singh, R. Kwitt, N. Vasconcelos, and M. Niethammer
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016.
Geodesic Regression on the Grassmannian
Y. Hong, R. Kwitt, N. Singh, N. Vasconcelos, and M. Niethammer
European Conferences on Computer Vision (ECCV), 2014.
Time-Warped Geodesic Regression
Y. Hong, N. Singh, R. Kwitt, and M. Niethammer
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2014.
Model Criticism for Regression on the Grassmannian
Y. Hong, R. Kwitt, and M. Niethammer
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2015.