Welcome!
I am an Assistant Professor at the School of Interactive Computing in the College of Computing. I am also affiliated with the Georgia Tech Research Institute and serve as an Associate Director of ML@GT which is the machine learning center recently created at Georgia Tech. Previously I was a Research Scientist at SRI International Sarnoff in Princeton, and before that received my Ph.D. in 2010 with Professor Ron Arkin as my advisor.
My areas of research specifically focus on the intersection of learning methods for sensor processing and robotics, developing novel machine learning algorithms and formulations towards solving some of the more difficult perception problems in these areas. I am especially interested recently in unsupervised/semi-supervised methods, continual/lifelong learning, and distributed perception.
News
11/13/2018Accepted NIPS Continual Learning Workshop paper with a categorization of current scenarios and strong baselines achieving state of art (or close) on current continual learning scenarios!
11/06/2018Accepted WACV paper on PCB board component detection with graph networks
10/29/2018Teaching Deep Learning cross-listed undergraduate and graduate. See here for previous syllabus that I will largely go by.
09/18/2018New ONR funding for distributed perception and planning with Lu Feng (UVA), Pratap Tokekar (VT), and Ufuk Topcu (UT Austin).
09/12/2018Journal paper on TS-LSTMs accepted
07/15/2018Pytorch code release for our clustering work on github
06/29/2018CVPR Deep-Vision Workshop paper on a new probabilistic deep learning clustering formulation [arxiv]
06/16/2018News article about new DARPA lifelong learning project
04/02/208Blog post about our CVPR paper
03/15/208Accepted IJCNN paper: Learning to Cluster for Proposal-Free Instance Segmentation [arxiv]
02/18/2018Accepted CVPR paper: Higher-Order Object Interactions for Video Understanding [arxiv]
01/29/2018Accepted ICLR paper (in top 7% of reviews!) for Learning to Cluster paper