Gediminas is a PhD student in the CIS Department at University of Pennsylvania. His research focuses on applying machine learning techniques to solve computer vision problems. Specifically, he is interested in using deep learning and spectral graph theory for object-level boundary detection and semantic shape recognition. Gediminas is also interested in developing methods that utilize low-level boundary information for higher-level vision tasks such as object-detection. Gediminas's advisor is Professor Jianbo Shi, and he is supported by the NSF IGERT Fellowship.
In 2014, Gediminas received his Bachelors degree from Dartmouth College where he studied Computer Science and Mathematical Finance. While at Dartmouth, he worked on various computer vision and machine learning research projects at Visual Learning Group.