Electrical Engineering and Computer Science

Computer Vision

Computer Vision photo
We explore a number of critical problems in the area of computer vision. We focus on the analysis and modeling of visual scenes from static images as well as video sequences. Our research goals include: i) the semantic understanding of materials, objects, and actions within a scene; ii) modeling the spatial organization and layout of the scene and its behavior in time. The algorithms developed in this area of research enable the design of machines that can perform real-world visual tasks such as autonomous navigation, visual surveillance, or content-based image and video indexing.

Related News Articles

2016-10-25  Jia Deng Selected as Recipient of PAMI Mark Everingham Prize
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2015-04-16  Thomas Chen Earns NSF Fellowship for Research in Artificial Neural...
2015-02-17  Jason Corso Receives Google Faculty Research Award
2014-08-19  Four New Faculty Join ECE in Fall 2014

ECE Faculty

Balzano, Laura
Corso, Jason

CSE Faculty

Deng, Jia
Jenkins, Chad
Lee, Honglak
Olson, Edwin

Courtesy Faculty

Gilbert, Anna C.

Postdocs

Griffin, Brent