The University of Southampton

Welcome to the Vision, Learning and Control (VLC) research group. We are a highly numerate team covering much of the central theory in Electronics, Electrical Engineering and Computer Science. We cover a rich spread of technological areas encompassing control, machine learning and computer vision with a sizeable number of academic staff, PhD researchers and postdocs. 

  • 7 February 2018

    Centre for Machine Intelligence launched to...

    Computer science experts discussed the key challenges surrounding emerging AI and blockchain technologies at the Centre for Machine Intelligence launch

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  • 9 January 2018

    Young university innovators unveil future...

    Pioneering research, including an AI-powered video analytics platform, features at the 2018 Consumer Electronics Show in Las Vegas

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  • 16 October 2017

    Professor Dame Wendy Hall calls for UK to...

    A major review of the UK’s burgeoning Artificial Intelligence (AI) industry, co-led by Professor Dame Wendy Hall, has set out proposals for how Government, academia and industry can work together and increase use of AI across the economy.

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  • Publications archive

    Recent VLC publications

    How biased is your NLG evaluation? - Pavlos Vougiouklis, Eddy Maddalena, Jonathon Hare and Elena Simperl
    Type: Conference or Workshop Item | 2018 | Item not available on this server.
    Neural Wikipedian: generating textual summaries from knowledge base triples - Pavlos Vougiouklis, Hady Elsahar, Lucie-Aimée Kaffee, Christophe Gravier, Frederique Laforest, Jonathon Hare and Elena Simperl
    Type: Article | 2018 | Item availability restricted.
    An object-based convolutional neural network (OCNN) for urban land use classification - Ce Zhang, Isabel Sargent, Xin Pan, Huapeng Li, A. Gardiner, Jonathon Hare and Peter M. Atkinson
    Type: Article | 2018
    Iterative learning control applied to a deformable mirror - Blazej Cichy, Petr Augusta, Krzysztof Galkowski and Eric Rogers
    Type: Conference or Workshop Item | 2017 | IEEE | Item not available on this server.
    Modified Newton method based iterative learning control design for discrete nonlinear systems with constraints - Hong-feng Tao, Wojciech Paszke, Eric Rogers, Krzysztof Galkowski and Hui-zhong Yang
    Type: Article | 2018 | Item availability restricted.

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