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Prof. Remagnino is the leader of the Robot Vision Team, a multidisciplinary group of researchers and academic concerned with the development of intelligent algorithms for the automatic interpretation of images and videos. In the last five years Prof. Remagnino has carried research in computer vision, machine learning, pattern recognition and distributed intelligence funded by national (Leverhulme Trust, EPSRC) and international (EU FP7, AAL, US DHS, US EOARD/AFSOR) funding bodies. Prof. Remagnino has served as associate editor for a number of IEEE Transactions, Elsevier International Journals and he is now associated editor for Neurocomputing and the IEEE Transactions on Human-Machine Systems. Prof. Remagnino is a member of the EPSRC college, senior IEEE member, and honorary research associate of the Royal Botanic Gardens, Kew. He has published over 150 scientific papers and articles in international conferences and high impact journals.
Prof. Remagnino is currently working on three strands of research: image and video understanding, machine learning, computational botany and distributed intelligence. His interests and current research are multi-disciplinary in nature and lend themselves well to application domains such as intelligent monitoring, search and rescue robotics, ambient assisted living and classification in botany. Prof. Remagnino is a member of the Faculty Ethics committee at Kingston University.
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论文共 227 篇作者统计合作学者相似作者
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BMJ OPEN DIABETES RESEARCH & CAREno. 6 (2023): e003683-e003683
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British Journal of Ophthalmologypp.bjo-2023, (2023)
ECCV Workshops (6)pp.751-764, (2022)
Rajendran, Senthilmani, Lim, Jian Han, Yogalingam, Kohgulakuhan, Kallarakkal, Thomas George, Zain, Rosnah Binti, Jayasinghe, Ruwan Duminda, Rimal, Jyotsna, Kerr, Alexander Ross, Amtha, Rahmi, Patil, Karthikeya, Welikala, Roshan Alex, Lim, Ying Zhi,
crossref(2022)
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