Christos Kyrkou
Christos Kyrkou
KIOS Research and Innovation Center of Excellence, University of Cyprus
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Cited by
Cited by
DroNet: Efficient convolutional neural network detector for real-time UAV applications
C Kyrkou, G Plastiras, T Theocharides, SI Venieris, CS Bouganis
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 967-972, 2018
Robust machine learning systems: Challenges, current trends, perspectives, and the road ahead
M Shafique, M Naseer, T Theocharides, C Kyrkou, O Mutlu, L Orosa, ...
IEEE Design & Test 37 (2), 30-57, 2020
EmergencyNet: Efficient aerial image classification for drone-based emergency monitoring using atrous convolutional feature fusion
C Kyrkou, T Theocharides
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020
Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles.
C Kyrkou, T Theocharides
CVPR workshops, 517-525, 2019
Edge intelligence: Challenges and opportunities of near-sensor machine learning applications
G Plastiras, M Terzi, C Kyrkou, T Theocharidcs
2018 ieee 29th international conference on application-specific systems …, 2018
A parallel hardware architecture for real-time object detection with support vector machines
C Kyrkou, T Theocharides
IEEE Transactions on Computers 61 (6), 831-842, 2011
A flexible parallel hardware architecture for AdaBoost-based real-time object detection
C Kyrkou, T Theocharides
IEEE Transactions on very large scale integration (VLSI) systems 19 (6 …, 2010
Embedded hardware-efficient real-time classification with cascade support vector machines
C Kyrkou, CS Bouganis, T Theocharides, MM Polycarpou
IEEE transactions on neural networks and learning systems 27 (1), 99-112, 2015
Deep learning for edge computing: Current trends, cross-layer optimizations, and open research challenges
A Marchisio, MA Hanif, F Khalid, G Plastiras, C Kyrkou, T Theocharides, ...
2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 553-559, 2019
A low-cost real-time embedded stereo vision system for accurate disparity estimation based on guided image filtering
C Ttofis, C Kyrkou, T Theocharides
IEEE Transactions on Computers 65 (9), 2678-2693, 2015
Efficient convnet-based object detection for unmanned aerial vehicles by selective tile processing
G Plastiras, C Kyrkou, T Theocharides
Proceedings of the 12th international conference on distributed smart …, 2018
Drones: Augmenting our quality of life
C Kyrkou, S Timotheou, P Kolios, T Theocharides, C Panayiotou
IEEE Potentials 38 (1), 30-36, 2019
SCoPE: Towards a systolic array for SVM object detection
C Kyrkou, T Theocharides
IEEE Embedded Systems Letters 1 (2), 46-49, 2009
Optimized vision-directed deployment of UAVs for rapid traffic monitoring
C Kyrkou, S Timotheou, P Kolios, T Theocharides, CG Panayiotou
2018 IEEE International Conference on Consumer Electronics (ICCE), 1-6, 2018
Towards a holistic performance evaluation framework for drone-based object detection
P Petrides, C Kyrkou, P Kolios, T Theocharides, C Panayiotou
2017 International Conference on Unmanned Aircraft Systems (ICUAS), 1785-1793, 2017
An embedded hardware-efficient architecture for real-time cascade support vector machine classification
C Kyrkou, T Theocharides, CS Bouganis
2013 International Conference on Embedded Computer Systems: Architectures …, 2013
Towards artificial-intelligence-based cybersecurity for robustifying automated driving systems against camera sensor attacks
C Kyrkou, A Papachristodoulou, A Kloukiniotis, A Papandreou, A Lalos, ...
2020 IEEE computer society annual symposium on VLSI (ISVLSI), 476-481, 2020
Informed region selection for efficient uav-based object detectors: Altitude-aware vehicle detection with cycar dataset
A Kouris, C Kyrkou, CS Bouganis
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
Disaster prevention and emergency response using unmanned aerial systems
P Petrides, P Kolios, C Kyrkou, T Theocharides, C Panayiotou
Smart Cities in the Mediterranean: Coping with Sustainability Objectives in …, 2017
YOLOpeds: efficient real‐time single‐shot pedestrian detection for smart camera applications
C Kyrkou
IET Computer Vision 14 (7), 417-425, 2020
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