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

11/13/2018

Accepted 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!

11/06/2018

Accepted WACV paper on PCB board component detection with graph networks

10/29/2018

Teaching Deep Learning cross-listed undergraduate and graduate. See here for previous syllabus that I will largely go by.

09/18/2018

New ONR funding for distributed perception and planning with Lu Feng (UVA), Pratap Tokekar (VT), and Ufuk Topcu (UT Austin).

09/12/2018

Journal paper on TS-LSTMs accepted

07/15/2018

Pytorch code release for our clustering work on github

06/29/2018

CVPR Deep-Vision Workshop paper on a new probabilistic deep learning clustering formulation [arxiv]

06/16/2018

News article about new DARPA lifelong learning project

04/02/208

Blog post about our CVPR paper

03/15/208

Accepted IJCNN paper: Learning to Cluster for Proposal-Free Instance Segmentation [arxiv]

02/18/2018

Accepted CVPR paper: Higher-Order Object Interactions for Video Understanding [arxiv]

01/29/2018

Accepted ICLR paper (in top 7% of reviews!) for Learning to Cluster paper