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
DENSE-INCEPTION U-NET FOR MEDICAL IMAGE SEGMENTATION
Zhang, Z., Wu, C., Coleman, S. & Kerr, D., 15 Feb 2020, In : Computer Methods and Programs in Biomedicine. 192, 105395.Research output: Contribution to journal › Article
1
Citation
(Scopus)
Explainable AI for Falls Prediction
Lindsay, L., Kerr, D., Coleman, S., Taylor, B. & Moorhead, A., 4 Mar 2020, (Accepted/In press) 4th International Conference on Advances in Computing and Data Sciences (ICACDS)-2020.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
File
Neural Coding Strategies for Event-Based Vision Data
Harrigan, S., Coleman, S., Kerr, D., Pratheepan, Y., Fang, Z. & Wu, C., 4 May 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
File
POST-STIMULUS TIME-DEPENDENT EVENT DESCRIPTOR
Harrigan, S., Coleman, S., Kerr, D., Pratheepan, Y., Fang, Z. & Wu, C., 16 May 2020, (Accepted/In press) The 27th IEEE International Conference on Image Processing (ICIP 2020) .Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
File
Adversarially Erased Learning for Person Re-identification by Fully Convolutional Networks
Liu, S., Zhang, Y., Qi, L., Coleman, S., Kerr, D. & Zhu, S., 12 Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Budapest: IEEE, Vol. 2019-July. 9 p. 8852283Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
File