vision.eecs qmul.ac.uk

Computer Vision Group Computer Vision Research at Queen Mary, University of London

Computer Vision Research at Queen Mary, University of London. Welcome to the Queen Mary Computer Vision Laboratory homepage. The core expertise of the group is in dynamic scene analysis, statistical methods for pattern recognition and learning, biologically inspired vision, algebraic methods for visual information processing and estimation of 3d information from video sequences. The main areas of application include face modelling. Surveillance and biometrics applications. Time ago 250 Days.

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Zhiyuan Shi

I am also working closely with Timothy Hospedales. Before coming to QMUL, I graduated from BUPT. With a Bachelor of Science in Electronic Engineering. Weakly Supervised Learning of Objects, Attributes and their Associations. Yongxin Yang, Timothy M.

Applied Machine Learning Lab Machine Learning QMUL

A research group within Electronic Engineering and Computer Science. Our members belong to various groups within EECS, including Risk and Information Management. Active learning and Active perception.

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TITLE

Computer Vision Group Computer Vision Research at Queen Mary, University of London

DESCRIPTION

Computer Vision Research at Queen Mary, University of London. Welcome to the Queen Mary Computer Vision Laboratory homepage. The core expertise of the group is in dynamic scene analysis, statistical methods for pattern recognition and learning, biologically inspired vision, algebraic methods for visual information processing and estimation of 3d information from video sequences. The main areas of application include face modelling. Surveillance and biometrics applications. Time ago 250 Days.

CONTENT

This web site vision.eecs.qmul.ac.uk states the following, "Computer Vision Research at Queen Mary, University of London." Our analyzers noticed that the website also said " Welcome to the Queen Mary Computer Vision Laboratory homepage." The Website also said " The core expertise of the group is in dynamic scene analysis, statistical methods for pattern recognition and learning, biologically inspired vision, algebraic methods for visual information processing and estimation of 3d information from video sequences. The main areas of application include face modelling."

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