Performance evaluation of feature detectors and descriptors beyond the visible T Mouats, N Aouf, D Nam, S Vidas Journal of Intelligent & Robotic Systems 92, 33-63, 2018 | 55 | 2018 |
Multi-Modal Automatic Target Recognition for Anti-Ship Missiles with Imaging Infrared Capabilities O Kechagias-Stamatis, N Aouf, D Nam Sensor Signal Processing for Defence Conference (SSPD), 1-5, 2017 | 19* | 2017 |
3D Automatic Target Recognition for UAV Platforms O Kechagias-Stamatis, N Aouf, D Nam Sensor Signal Processing for Defence Conference (SSPD), 1-5, 2017 | 19 | 2017 |
Retracing in correlative light electron microscopy: where is my object of interest? L Hodgson, D Nam, J Mantell, A Achim, P Verkade Methods in cell biology 124, 1-21, 2014 | 18 | 2014 |
A novel framework for segmentation of secretory granules in electron micrographs D Nam, J Mantell, D Bull, P Verkade, A Achim Medical Image Analysis 18 (2), 411-424, 2014 | 11 | 2014 |
Automatic x-ray image segmentation and clustering for threat detection O Kechagias-Stamatis, N Aouf, D Nam, C Belloni Target and Background Signatures III 10432, 226-234, 2017 | 9 | 2017 |
Multi-car collision avoidance C Wartnaby, D Nam, IB Viana ITS World Congress, 2018 | 5 | 2018 |
Feature-based registration for correlative light and electron microscopy images D Nam, J Mantell, L Hodgson, D Bull, P Verkade, A Achim 2014 IEEE International Conference on Image Processing (ICIP), 3567-3571, 2014 | 5 | 2014 |
Vehicle Obstacle Interaction Dataset (VOIDataset) A Alzoubi, D Nam Cranfield University, 2018 | 4 | 2018 |
Vehicle activity recognition using dcnn A AlZoubi, D Nam Computer Vision, Imaging and Computer Graphics Theory and Applications: 14th …, 2020 | 3 | 2020 |
Visual scene understanding for self-driving cars using deep learning and stereovision A Grenier, D Nam, L Feetham, P Yoo, MA Richardson, L Chermak Cranfield Univ., Cranfield, UK, Tech. Rep, 2019 | 3 | 2019 |
Vehicle Activity Recognition using Mapped QTC Trajectories A AlZoubi, D Nam International Conference on Computer Vision Theory and Applications – VISAPP, 2019 | 2 | 2019 |
A novel approach to identifying merging/splitting events in time-lapse microscopy D Nam, K Arkill, L Hodgson, D Bull, P Verkade, A Achim 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 964-967, 2016 | 2 | 2016 |
Rjmcmc-based tracking of vesicles in fluorescence time-lapse microscopy D Nam, K Arkill, R Eales, L Hodgson, P Verkade, A Achim 2015 23rd European Signal Processing Conference (EUSIPCO), 2801-2805, 2015 | 2 | 2015 |
Insulin Granule Segmentation in 3-D TEM Beta Cell Tomograms. D Nam, J Mantell, DR Bull, P Verkade, A Achim BMVC, 2013 | 2 | 2013 |
Active contour based segmentation for insulin granule cores in electron micrographs of beta islet cells D Nam, J Mantell, D Bull, P Verkade, A Achim 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012 | 2 | 2012 |
Segmentation and analysis of insulin granule membranes in beta islet cell electron micrographs D Nam, J Mantell, D Bull, P Verkade, A Achim 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO …, 2012 | 2 | 2012 |
Towards Scene Understanding Implementing the Stixel World A Grenier, A AlZoubi, L Feetham, D Nam 2018 IEEE British and Irish Conference on Optics and Photonics (BICOP), 1-4, 2018 | 1 | 2018 |
Automated mosaicing for improving vehicle situational awareness in real time D Nam, N Aouf 2017 IEEE Intelligent Vehicles Symposium (IV), 1146-1151, 2017 | 1 | 2017 |
A novel 2D and 3D method for automated insulin granule measurement and its application in assessing accepted preparation methods for electron microscopy J Mantell, D Nam, D Bull, A Achim, P Verkade Journal of Physics: Conference Series 522 (1), 012022, 2014 | 1 | 2014 |