Our Partners






Cognitive
Robotics
Torr
Vision Group
ALTAIR
Robotics Lab
MOReS
Oxford University
Computer Science
PAL
L-Universita'
ta' Malta
Cortexica
Vision Systems
Huawei
Technologies
Cambridge
Neuroscience
Indian Institute
of Technology, Bombay
Cisco
Createc
Federico II University
AI Labs


Cognitive Robotics group
School of Engineering, Computing and Mathematics, Oxford Brookes University

Professor Nigel Crook, Dr Matthias Rolf

The Cognitive Robotics research group undertakes research into human-robot interaction, autonomous vehicles and bio-inspired robotics. A primary focus of this research is enabling more natural interactions between humans and robots. This theme centres largely around the changing needs of society as we become more reliant on robots and need more intuitive ways of interacting with them.
Current projects include the accurate robotic replication of human head gestures, bootstrapping biomimetic control, and ethical implications of artificial intelligence.




Torr Vision Group
Department of Engineering Science, Oxford University

Professor Philip Torr

Torr Vision Group (formerly known as Brookes Vision Group, Oxford Brookes University) in the Department of Engineering Science at University of Oxford, was formed in 2005 and later moved to University of Oxford in 2013, is led by Professor Philip Torr. It comprises around 20-25 people. The aim of the group is to engage in state of the art research into the mathematical theory of computer vision and artificial intelligence, but to keep the mathematical research relevant to the needs of society. A particular emphasis of the group has been on real time understanding and reconstruction of the world around using mobile cameras, such as those on drones, intelligent glasses or other robots. Examples of which can be seen here CRF-RNN and here Semantic Paint. Members of the group have won major awards in all the main conferences in the field including the International Conference on Computer Vision (ICCV), CVPR, ECCV, BMVC, NIPs as well as various thesis awards for the students, and industrial awards such as best Knowledge Transfer Partnership. We have collaborated with many exciting high tech companies including Google, Sony, Microsoft, Technicolor, and Sharp.




ALTAIR Robotics Lab
Computer Science Department, University of Verona

Professor Paolo Fiorini, Dr Riccardo Muradore

The ALTAIR Robotics Laboratory was founded in 2000, concurrently with the establishment of the courses in Automatic Control and Robotics in the Computer Science Department of the University of Verona. The aim of this laboratory is to lead research and development on non-conventional robotic systems that can interact with the surrounding environment in multiple ways, from teleoperation to autonomous behaviours. Of particular interest to us are the areas of: robotic surgery, human-robot interaction, elderly and disabled care, service robotics, search and rescue robotics.




Centre for Movement, Occupational and Rehabilitation Sciences (MOReS)
Department of Sport, Health Sciences and Social Work, Oxford Brookes University

Professor Helen Dawes, Dr Patrick Esser

The Centre is a growing research centre which brings together three key ingredients - research, education and care. MOReS is underpinned by a strong research team under four key research themes: Clinical Applied Nutrition (CAN) Clinical Exercise and Rehabilitation Research (CLEAR) Movement Science Group (MSG) Occupational Sciences (OS) Our flagship Clinical Exercise and Rehabilitation Unit (CLEAR Unit) based at the Centre for Sports enables children living with disability to undertake exercise in a supported environment with our clinical expertise and research excellence.




Department of Computer Science
Oxford University

Professor Thomas Lukasiewicz

Thomas Lukasiewicz is a Professor of Computer Science in Oxford University’s Department of Computer Science since 2010. Prior to this, he was holding a prestigious Heisenberg Fellowship by the German Research Foundation (DFG), affiliated with the University of Oxford, TU Vienna, Austria, and Sapienza University of Rome, Italy. His research interests are in artificial intelligence (AI) and information systems, including especially knowledge representation and reasoning, uncertainty in AI, machine learning, the (Social and/or Semantic) Web, personalised search and recommender systems, question answering systems, ontology-based data access, and databases. Among his recent awards are the AIJ Prominent Paper Award 2013 and the RuleML 2015 Best Paper Award. He is area editor for the journal ACM TOCL, associate editor for the journals JAIR and AIJ, and editor for the journal Semantic Web.




Performance Augmentation Lab
School of Engineering, Computing and Mathematics, Oxford Brookes University

Dr Fridolin Wild

The Performance Augmentation Lab (PAL) seeks to close the dissociative gap between abstract knowledge and its practical application, researching radically new forms of linking directly from knowing something ‘in principle’ to applying that knowledge ‘in practice’ and speeding its refinement and integration into polished performance.
PAL strategic focus is on three main areas of research: Human Computer Interaction: Augmented Reality & Wearable Technologies Information Systems: Technology-Enhanced Learning, Knowledge-Based Systems, Job Performance Aids Data Science: Performance Analytics




Centre for Biomedical Cybernetics
Faculty of Engineering, University of Malta

Professor Kenneth Camilleri, Dr Owen Falzon

The Centre for Biomedical Cybernetics within the University of Malta was officially set up on the 9 December 2011, with the primary aim being to spearhead research in the foremost areas of Biomedical Engineering and Cybernetics. The term 'Biomedical Cybernetics' refers to the technology-abstracted study of biological and biomedical systems and signals. The competence of the Centre therefore lies in the application of: systems theory; analysis, modelling of behaviour and control; signal and image acquisition, analysis and processing; computational intelligence, data mining and pattern recognition; particularly when all the above are applied to solve medical problems.




Cortexica
WeWork South Bank, London SE1 9LQ

Dr Michele Taroni

Cortexica Vision Systems is an award-winning spin-off of Imperial College London, active as a global provider of B2B Vision AI solutions. Dr Michele Taroni, Senior Project Manager, is actively engaged with Prof Cuzzolin on fundamental research in the field of real time action detection and surveillance. We are currently gearing up to jointly apply for Innovate UK funding in the area.




Huawei Technologies
Hisilicon division

Dr Zhan Xu

Prof Cuzzolin is taking on the role of Executive Committee member for the new Joint SFU-Huawei research centre based in Vancouver, Canada. Hisilicon and Huawei are also negotiating with the Visual AI Lab research funding in the area of deep learning for activity recognition, to the tune of 280,000 pounds for the first year, in the perspective of possibly establishing a similar joint research hub in Oxford in the medium term.




Cambridge Neuroscience

Prof Barbara Sahakian

Prof Cuzzolin and Prof Barbara Sahakian, from Cambridge University's Department of Neuroscience have recently put in a joint bid to the Leverhulme Trust on the topic of "Theory of mind at the interface of AI and neuroscience", to fund a new research initiative aimed at studying the ability of humans to guess other people's mental states and at providing machines with similar capabilities.
The collaboration involves the joint supervision of Cambridge PhD student Wojtek Buczynski.




Indian Institute of Technology, Bombay

Prof Biplab Banerjee and Prof Subhasis Chaudhuri

The Visual AI Laboratory has secured, in partnership with the Indian Institute of Technology (IIT) Bombay funding from UKIERI (the UK-India Education and Research Initiative) for a project on "Analysis of Human Action in Unconstrained Videos". IIT Bombay Director Subhasis Chaudhuri will lead the Indian side of the effort, assisted by Prof Biplab Banerjee.




Cisco

Dr William Wu and Dr Jacek Pawlak

Cisco is partnering with the Visual AI Lab in an upcoming Innovate UK bid led by Cortexica on human behaviour understanding technologies. They are also supporting an EPSRC Healthcare application on "A multimodal AI system for the assisted assessment of prolonged disorders of consciousness".




Cisco

Matt Mellor and Ian Cowling

The Visual AI Lab has won funding for a Knowledge Transfer Partnership (KTP) with Createc Technologies and Sportslight Technologies, for a project on the visual understanding of player's behaviour on the pitch.
At Createc, we’ve gathered a unique team and it shows – we see things differently, we’re comfortable with uncertainty and we’ve found unusual solutions to some big problems. We’ve created a dynamic, supportive and collaborative culture where people can try out their ideas, learn from mistakes and work together to find even better answers.




University Federico II, Naples

Prof. Giuseppe Di Gironimo

Prof. Giuseppe Di Gironimo of the IDEAS Lab, Dept. of Industrial Engineering is leading an Erasmus+ exchange programme between Oxford Brookes University and University of Naples Federico II, one of the highest ranking universities in Italy, founded on June 5, 1224 by the Svevian emperor.
MSc students Manuele di Maio and Valentina Fontana, during their six-month stays in the Visual AI Lab have kickstarted our effort in the area of road event detection for autonomous driving, which has lead to the creation of READ - the first Road Event and Activity Dataset, soon to be released.
Visitors Stanislao Grazioso and Brenda Romino have also contributed to our work in human-robot interaction.




AI Labs, Bologna, Italy

Gianluca delli Carri, Max Ciociola, Andrea Gaudenzi and Silvio Olivastri

AI Labs is the first Artificial Intelligence & Machine Learning R&D LAB. Made in Italy. Made by Humans.

Gianluca delli Carri, Max Ciociola and Andrea Gaudenzi, partners of AI Labs, have engaged the Visual AI Lab to sustain a joint effort in the area of artificial intelligence, deep learning and computer vision. Researcher Silvio Olivastri has already visited the Lab twice, and is leading our project on deep video captioning.