About Us
Find out more about our team and facilities.
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.
Research
Research in VLC encompasses all aspects of Computer Vision, Machine Learning and Control.
Find Us
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
Read MoreYoung university innovators unveil future...
Pioneering research, including an AI-powered video analytics platform, features at the 2018 Consumer Electronics Show in Las Vegas
Read MoreProfessor 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.
Read MoreRecent 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.