SHORT BIO
___________________
Christos Kyrkou is a Senior Research Associate at the KIOS Research & Innovation Center of Excellence at the University of Cyprus. Dr. Kyrkou received his Ph.D. degree in Computer Engineering from the University of Cyprus in 2014. He is an author/co-author of more than 50 scientific publications in international peer reviewed conferences and journals. In 2020 he worked as teaching staff at the Department of Electrical and Computer Engineering at UCY teaching the course ECE627 Computer VIsion. He has experience in several National and European funded research and innovation projects. His research interests lie in the areas of Computer Vision and Deep Learning with emphasis on real-time performance. In particular embedded deep vision (efficient convolutional network architectures and techniques), visual object recognition and detection, vision applications, vision for robotics and autonomous vehicles.
Edge Visual AI
___________________
"Through my research I aspire to develop efficient, & robust Computer Vision and Deep Learning algorithms for embedded systems (e.g. advanced robots, autonomous cars, drones or Internet of Things applications) that enable holistic real-time scene understanding leading to more intelligent systems"
EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring
YOLOpeds: Efficient real-time single-shot pedestrian detection for smart camera applications
C^3 Net: End-to-end deep learning for active smart camera control
Deep Behavioral Cloning for Autonomous Vehicles
RECENT ARTICLES
___________________
EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring
________________
YOLOpeds: Efficient real-time single-shot pedestrian detection for smart camera applications
________________
IET CV 2020
DeepCamera: Following Targets Without Bounding Boxes… End-to-end active vision
“We propose a supervised learning technique to control active cameras with Deep Convolutional Neural Networks to go directly from visual information to camera movement..”
UPCOMING EVENTS
___________________
CONNECT WITH ME ON SOCIAL MEDIA & PLATFORMS
___________________
