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个人简介
Yaser Yacoob is an associate research scientist in UMIACS.
His research focuses on detection, tracking and recognition of face expressions, lip reading, body part tracking, modeling and recognition of human activities, augmented reality, human appearance analysis, motion analysis and image segmentation. Moreover, Yacoob developed interactive robots and demonstrated their potential for engaging humans in games and communication.
He has served as a program committee member on several workshops and computer vision conferences. Yacoob has played a role in conducting basic research under many DoD programs sponsored by DARPA, IARPA, and ONR.
His research focuses on detection, tracking and recognition of face expressions, lip reading, body part tracking, modeling and recognition of human activities, augmented reality, human appearance analysis, motion analysis and image segmentation. Moreover, Yacoob developed interactive robots and demonstrated their potential for engaging humans in games and communication.
He has served as a program committee member on several workshops and computer vision conferences. Yacoob has played a role in conducting basic research under many DoD programs sponsored by DARPA, IARPA, and ONR.
研究兴趣
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2018 IEEE/CVF Conference on Computer Vision and Pattern Recognitionpp.6238-6247, (2018)
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Anthony Hoogs,A. G. Amitha Perera,Roderic Collins,Arslan Basharat,Keith Fieldhouse,Chuck Atkins, Linus Sherrill,Benjamin Boeckel, Russell Blue,Matthew Woehlke, C. Greco,Z. Sun,
semanticscholar(2015)
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International Journal of Computer Visionno. 3 (2009): 248-273
University of Maryland, Tech. Rep (2009)
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