Research output per year
Research output per year
Personal profile
Biography
Dermot Kerr joined the Computer Science Research Institute and School of Computing and Intelligent Systems in 2015. He is a member of the Cognitive Robotics research group within the Intelligent Systems Research Centre. Dermot's research and teaching interests are in the areas of visual neuroscience, biologically inspired image processing, mathematical image processing, feature detection, omni-directional vision and robotics. He teaches at both undergraduate and postgraduate level.Dermot received a B.Sc. (Hons) in Computing Science from Ulster University, UK in 2005, and a Ph.D. in Computing and Engineering from Ulster University, UK in 2008. He was appointed as a research associate within the Intelligent Systems Research Centre working on the Leverhulme Trust funded "Robot Identification" project and the "Biologically Inspired Processing" project before being appointed research fellow.Dermot is an officer of the Irish Pattern Recognition and Classification Society, Co-I on the EU FP7 funded project VISUALISE and a member of the EPSRC ViiHM Network for Biological and Computer Vision.
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Research output
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DENSE-INception U-net for medical image segmentation
Zhang, Z., Wu, C., Coleman, S. & Kerr, D., 31 Aug 2020, In: Computer Methods and Programs in Biomedicine. 192, 15 p., 105395.Research output: Contribution to journal › Article › peer-review
Open AccessFile65 Citations (Scopus)651 Downloads (Pure) -
A biologically inspired spiking model of visual processing for image feature detection
Kerr, D., McGinnity, TM., Coleman, SA. & Clogenson, M., 7 Feb 2015, In: Neurocomputing. XResearch output: Contribution to journal › Article › peer-review
Open Access23 Citations (Scopus) -
A novel approach to robot vision using a hexagonal grid and spiking neural networks
Kerr, D., Coleman, SA., McGinnity, TM., Wu, Q. & Clogenson, M., 30 Jul 2012, Unknown Host Publication. IEEE, 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile4 Citations (Scopus)60 Downloads (Pure) -
EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association
Wu, Y., Zhang, Y., Zhu, D., Feng, Y., Coleman, S. & Kerr, D., 28 Oct 2020, p. 4966. 4973 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile9 Citations (Scopus)94 Downloads (Pure) -
Steering a Predator Robot using a Mixed Frame/Event-Driven Convolutional Neural Network
Moeys, D., Federico, C., Kerr, E., Vance, P., Das, G., Daneil, N., Kerr, D. & Delbruck, T., 24 Oct 2016, (E-pub ahead of print) Unknown Host Publication. IEEE, 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access71 Citations (Scopus)
Prizes
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MVA Best Poster Award 2021
Harrigan, S. (Recipient), Coleman, Sonya (Recipient), Kerr, Dermot (Recipient), Yogarajah, Pratheepan (Recipient), Fang, Z. (Recipient) & Wu, C. (Recipient), 27 Jul 2021
Prize
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The Ireland Funds Business Plan Competition - Runner up - 2021
Kerr, Dermot (Recipient) & Coleman, Sonya (Recipient), 15 Jun 2021
Prize
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Silver Level Innovator - Innovate NI Innovation Accreditation Programme
Coleman, Sonya (Recipient) & Kerr, Dermot (Recipient), 19 Feb 2021
Prize
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Carnegie Mellon University New Venture Competition - Most innovative technology winner
Kerr, Dermot (Recipient) & Coleman, Sonya (Recipient), 16 Apr 2019
Prize
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Research Excellence Award Finalist
Coleman, Sonya (Recipient) & Kerr, Dermot (Recipient), 8 May 2019
Prize