Here you will find information related to my academic pursuits. This includes updates on my research projects. Me, I suggest please see the FAQ. Students wanted to contact me about working with me are highly encouraged to read the FAQ. Use the menu bar above, or the TAGS and CATEGORIES listed in the columns to find relevant information.

Get to know the people in the lab and the researcher areas of both past and present students. Check out current and past projects partnered with industry sponsors. Catch up on our list of Conference and Journal publications for all our projects. Efficient Hierarchical Graph-Based Segmentation of RGBD Videos. RGB-D Edge Detection and Edge-Based Registration.

Computation Journalism Class at Georgia Tech. Rather than sending email about general questions about the class and its content. For email contact, if needed, make sure to add CJ2012 in the subject line. For more information see contact info.

Computational Photography Classes at Georgia Tech. If on a wait-list to register for this class, please fill out this form. CS 6475 for Online MS CS Program. Site for all online MS CS courses on Computational Photography. Is used in this class as appropriate.

Was established to explore and develop the next generation of intelligent machines, interfaces, and environments for modeling, perceiving, recognizing, and interacting with humans and for all forms of behavior analysis from data. At Georgia Tech, CPL is affiliated with the Institute for Robotics and Machine Intelligence.

On Innovation, New Media and The Bigger Better Deal. Judging TAG Business Launch Competition 2016. Fifteen finalists will pitch their businesses in front of a live audience and live judges panel. A holistic approach to fulfilling enterprise software needs. App to streamline retail returns.

Here you will find information related to my academic pursuits. This includes updates on my research projects. Me, I suggest please see the FAQ. Students wanted to contact me about working with me are highly encouraged to read the FAQ. Use the menu bar above, or the TAGS and CATEGORIES listed in the columns to find relevant information.

KDD 2016 - San Francisco, Aug 14th. For the 3rd successive year, we will be running the KDD workshop on Large-Scale Sports Analytics. The objective of this workshop is to bring together researchers and analysts from academia and industry who work in sports analytics, data mining and machine learning. We hope to enable meaningful discussions about state-of-the-art in sports analytics research, and how it might be improved upon.