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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 FacultyDeng, JiaJenkins, Chad Kuipers, Benjamin Lee, Honglak Olson, Edwin |
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Related Labs, Centers, and Groups APRIL Robotics Laboratory Intelligent Robotics Lab Vision & Learning Lab |