Browsing by Author "Kyrkou, Christos"
Now showing items 1-9 of 9
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Deep Learning for Edge Computing: Current Trends, Cross-Layer Optimizations, and Open Research Challenges
Marchisio, Alberto; Hanif, Muhammad Abdullah; Khalid, Faiq; Plastiras, George; Kyrkou, Christos; Theocharides, Theocharis; Shafique, Muhammad (2019)In the Machine Learning era, Deep Neural Networks (DNNs) have taken the spotlight, due to their unmatchable performance in several applications, such as image processing, computer vision, and natural language processing. ...
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Article
Drones: Augmenting Our Quality of Life
Kyrkou, Christos; Timotheou, Stelios; Kolios, Panayiotis; Theocharides, Theocharis; Panayiotou, Christos (2019)Drone technology that has the potential to disrupt and augment our quality of life is swiftly evolving. Drones are rapidly growing in popularity and are used in various applications, such as agriculture, emergency response, ...
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DroNet: Efficient convolutional neural network detector for real-time UAV applications
Kyrkou, Christos; Plastiras, George; Theocharides, Theocharis; Venieris, Stylianos I.; Bouganis, Christos-Savvas (2018)Unmanned Aerial Vehicles (drones) are emerging as a promising technology for both environmental and infrastructure monitoring, with broad use in a plethora of applications. Many such applications require the use of computer ...
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EdgeNet: Balancing Accuracy and Performance for Edge-based Convolutional Neural Network Object Detectors
Plastiras, George; Kyrkou, Christos; Theocharides, Theocharis (ACM, 2019)Visual intelligence at the edge is becoming a growing necessity for low latency applications and situations where real-time decision is vital. Object detection, the first step in visual data analytics, has enjoyed significant ...
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Efficient ConvNet-based Object Detection for Unmanned Aerial Vehicles by Selective Tile Processing
Plastiras, George; Kyrkou, Christos; Theocharides, Theocharis (Association for Computing Machinery, 2018)Many applications utilizing Unmanned Aerial Vehicles (UAVs) require the use of computer vision algorithms to analyze the information captured from their on-board camera. Recent advances in deep learning have made it possible ...
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Optimized vision-directed deployment of UAVs for rapid traffic monitoring
Kyrkou, Christos; Timotheou, Stelios; Kolios, Panayiotis; Theocharides, Theocharis; Panayiotou, Christos G. (2018)The flexibility and cost efficiency of traffic monitoring using Unmanned Aerial Vehicles (UAVs) has made such a proposition an attractive topic of research. To date, the main focus was placed on the types of sensors used ...
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Article
Optimizing the Detection Performance of Smart Camera Networks Through a Probabilistic Image-Based Model
Kyrkou, Christos; Christoforou, Eftychios G.; Timotheou, Stelios; Theocharides, Theocharis; Panayiotou, Christos; Polycarpou, Marios (2018)Networks of smart cameras, equipped with on-board processing and communication infrastructure, are increasingly being deployed in a variety of different application fields, such as security and surveillance, traffic ...
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Article
Optimizing the Detection Performance of Smart Camera Networks Through a Probabilistic Image-Based Model
Kyrkou, Christos; Christoforou, Eftychios G.; Timotheou, Stelios; Theocharides, Theocharis; Panayiotou, Christos; Polycarpou, Marios (2018)Networks of smart cameras, equipped with on-board processing and communication infrastructure, are increasingly being deployed in a variety of different application fields, such as security and surveillance, traffic ...
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Real-Time Obstacle Avoidance for Mobile Robots via Stereoscopic Vision Using Reconfigurable Hardware (Abstract Only)
Papadopoulos, Martinianos; Ttofis, Christos; Kyrkou, Christos; Theocharides, Theocharis (ACM, 2015)