University of Texas at Austin computer science professor Kristen Grauman was elected a fellow of the Association for the Advancement of Artificial Intelligence (AAAI), a lifetime honor.
AAAI Fellows are distinguished AI scientists recognized each year for their intellectual leadership and significant research or service contributions to the theory or practice of AI, usually over a period of at least a decade or more. They were honored at an official dinner and ceremony last month during the AAAI-19 Conference in Honolulu, Hawaii.
Grauman, one of seven newly elected Fellows, is being recognized for her contributions to computer vision in visual recognition and search.
Computer vision is a broad field that is concerned with programming computers to process and analyze visual information. Grauman's group develops algorithms to improve computers' abilities to categorize and detect objects, activities, or scenes, as well as large-scale visual search techniques to process large collections of images and retrieve the most relevant content.
Founded in 1979, the AAAI is a nonprofit scientific society devoted to advancing the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines.
Grauman's work in the field of visual search was also recognized last summer, when she received the 2018 J.K. Aggarwal Prize from the International Association for Pattern Recognition (IAPR).
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