Computer Vision

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.

CSE Faculty

Fouhey, David
Jenkins, Chad
Johnson, Justin
Kuipers, Benjamin
Lee, Honglak
Olson, Edwin

ECE Faculty

Corso, Jason

Related Labs, Centers, and Groups
APRIL Robotics Laboratory
Intelligent Robotics Lab
Vision & Learning Lab