I'm a computer science assistant professor at University of Illinois at Urbana-Champaign (UIUC). My main interest is in general visual scene understanding. Scene understanding is the ability to infer general principles and current situations in a way that helps to achieve goals. So far, much progress has been made by breaking down vision into a set of narrowly defined tasks and tackling them as independent pattern matching or image processing problems. I want to think of vision in terms of real-world space, surfaces, objects, and relations. I also want to develop frameworks that allow visual knowledge to be accumulated, so that each task contributes to a worldview that makes learning new tasks easier. My past includes a Postgraduate Beckman Fellowship at UIUC, Ph.D. at the Robotics Institute at CMU with Alyosha Efros and Martial Hebert, and collaborations at Intel Research Pittsburgh and Microsoft Research Cambridge. See my bio for more details.
My research follows three main themes:
Use the guide to the left to find publications, projects, software, and presentations (click Home if you do not see the links). Prospective students can find related info in the Contact page.
PhD Student Advisees and Collaborators
Former PhD Students and Collaborators
Also see the Computer Vision Group webpage.
Current and former MS students
Current and former undergraduate students
NSF Award 10-53768 for "CAREER: Large-Scale Recognition using Shared Structures, Flexible Learning, and Efficient Search" (2011-2015)
ONR MURI Award for "Rich Representations with Exposed Semantics for Deep Visual Reasonings" (2010-2014)
NSF Award 09-04209 for "Physically Grounded Object Recognition" (2009-2013)
NSF Award 09-16014 for "Exploiting Geometric and Illumination Context in Indoor Scenes" (2009-2012)
Google Research Award for "Describing Objects by their Attributes from Images" (2009-2010)
Gifts from Microsoft (2009, 2010)
Gift from Intel (2011)
Intel Early Career Faculty Award (2012)
Sloan Fellowship (2013)