Highly-motivated PhD students are sought to start in fall 2014 under Professor Shawn Newsam in the areas of computer vision, image analysis, spatial analysis, and multimedia.
Openings to work on the following two projects are anticipated:
1) The NSF CAREER funded project Social Multimedia as Volunteered Geographic Information. This project investigates georeferenced social multimedia for geographic discovery. Specifically, community-contributed ground-level images and videos are used to map what-is-where on the surface of the Earth in much the same way that overhead images taken from air- or space-borne platforms have been used for decades in the traditional field of remote sensing. The over arching premise is that georeferenced social multimedia data can be considered a form of volunteered geographic information. Further, it can enable geographic discovery not possible through traditional means.
2) High-resolution overhead image analysis. The increased resolution and availability of overhead images such as acquired from air- or space-borne platforms can help solve a number of important problems relevant to society. I have done a significant amount of work in this area including geographic image retrieval and classification. I am looking to recruit a strong PhD student to focus on spatial models for classification and object detection. Of particular interest are probabilistic models such as Markov random fields, conditional random fields, etc. It is anticipated the methods developed for analyzing overhead images will generalize to other automated image understanding problems in computer vision.
Ph.D. Position(s) in EECS at the University of California at Merced
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Burse
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2013-10-02, 00:00
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2025-09-29, 17:01
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Maria Dumitru
