Robinson, John - University of Zurich - Department of Electronic Engineering

个人简介

John Robinson is a Professor in the Department of Electronics and Pro-Vice Chancellor for Learning, Teaching and Information at the University of York. He has degrees in Mathematics (BSc), Telecommunications (MSc), Electronic Systems Engineering (PhD) and Humanities (MPhil). He has five years of industry experience in the UK and Canada, and twenty years as a University teacher, working at the University of Waterloo, Memorial University of Newfoundland and the University of York. He has published over 100 papers in the areas of image and video processing, pattern recognition and augmented reality. His hardware and software designs have appeared in products from Standard Telephones and Cables, British Telecom, Nortel, Bell Canada, Worldlinx Communications, Future Labs Inc., Intelligent Compression Technologies and others. He is active in University/Industry initiatives: he was a member of the management team for the Creation network; member of the management board of York Electronics Centre; co-founder and member of steering group for the Centre for Usable Home Technology (CUHTec) and former Director of the Higher York Creative Technologies Centre (CTC). He has served on various management and programme committees and consulted for UK and Canadian industry, Canadian provincial government and a major US law firm.

研究领域

John's current major research directions are in human face analysis, projector-camera systems and picture coding.

近期论文

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Music Genre Classification using Masked Conditional Neural Networks Medhat, F., Chesmore, D. & Robinson, J., 18 Feb 2018 Masked Conditional Neural Networks for Automatic Sound Events Recognition Medhat, F., Chesmore, D. & Robinson, J., Feb 2018, 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA). p. 389-394 Masked Conditional Neural Networks for Environmental Sound Classification Medhat, F., Chesmore, D. & Robinson, J., Feb 2018, Artificial Intelligence XXXIV: 37th SGAI International Conference on Artificial Intelligence, AI 2017, Cambridge, UK, December 12-14, 2017, Proceedings. Springer, p. 21-33 (Lecture Notes in Computer Science ; vol. 10630). Recognition of Acoustic Events Using Masked Conditional Neural Networks Medhat, F., Chesmore, E. D. & Robinson, J. A., 18 Dec 2017, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, p. 199-206 8 p. Music Genre Classification using Masked Conditional Neural Networks Medhat, F., Chesmore, E. D. & Robinson, J. A., 14 Nov 2017, Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part II. Springer, (Lecture Notes in Computer Science). Automatic Classification of Music Genre using Masked Conditional Neural Networks Medhat, F., Chesmore, E. D. & Robinson, J. A., 11 Nov 2017, 2017 IEEE International Conference on Data Mining (ICDM). IEEE Environmental Sound Recognition Using Masked Conditional Neural Networks Medhat, F., Chesmore, E. D. & Robinson, J. A., 5 Nov 2017, Advanced Data Mining and Applications - 13th International Conference, ADMA 2017, Proceedings: 13th International Conference, ADMA 2017, Singapore, November 5–6, 2017, Proceedings. Peng, W-C., Zhang, W. E., Cong, G., Sun, A. & Li, C. (eds.). p. 373-385 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10604 LNAI). Masked Conditional Neural Networks for Audio Classification Medhat, F., Chesmore, E. D. & Robinson, J. A., 25 Oct 2017, Artificial Neural Networks and Machine Learning – ICANN 2017: 26th International Conference on Artificial Neural Networks Alghero, Italy, September 11–14, 2017 Proceedings, Part II. Lintas, A., Rovetta, S., Verschure, P. F. M. J. & Villa, A. E. P. (eds.). Springer, Vol. 2. p. 349-358 (Lecture Notes in Computer Science; vol. 10614). Edge-preserving colour-to-greyscale conversion Robinson, J. A., Apr 2014 Efficient gaussian filtering using cascaded prefix sums Robinson, J. A., Sep 2012, Proceedings of 19th IEEE International Conference on Image Processing (ICIP) 2012 . IEEE, p. 117-120 4 p. On output-processing in face detectors Day, M. & Robinson, J. A., 16 Nov 2011, IEEE International Conference on Signal and Image Processing Applications 2011. p. 46-51 6 p. CONSTRUCTING EFFICIENT CASCADE CLASSIFIERS FOR OBJECT DETECTION Day, M. & Robinson, J. A., 2010, 2010 17th IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING. NEW YORK: IEEE, p. 3781-3784 4 p. Covariance estimation in full- and reduced-dimensionality image classification Robinson, J. A., 2 Jul 2009 Regularized single-kernel conditional density estimation for face description Robinson, J. A., 2009, 2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING. NEW YORK: IEEE, Vol. 1-6. p. 2461-2464 4 p. Interaction Design and the Critics: what to make of the "weegie"Blythe, M., Robinson, J. A. & Frohlich, D., 20 Oct 2008, NordiCHI 2008. Vol. 358. p. 53-62 10 p. Interaction Design and the Critics: what to make of the “weegie”;Blyth, M., Robinson, J. & Frolich, D., 1 Oct 2008, p. 53-62. Residue-free video coding with pixelwise adaptive spatio-temporal prediction Day, M. G. & Robinson, J. A., Jun 2008