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Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead
Machine Learning (ML) techniques have been rapidly adopted by smart Cybe...
01/04/2021 ∙ by Muhammad Shafique, et al. ∙
27
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Imitation-Based Active Camera Control with Deep Convolutional Neural Network
The increasing need for automated visual monitoring and control for appl...
12/11/2020 ∙ by Christos Kyrkou, et al. ∙
4
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YOLOpeds: Efficient Real-Time Single-Shot Pedestrian Detection for Smart Camera Applications
Deep Learning-based object detectors can enhance the capabilities of sma...
07/27/2020 ∙ by Christos Kyrkou, et al. ∙
80
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EdgeNet: Balancing Accuracy and Performance for Edge-based Convolutional Neural Network Object Detectors
Visual intelligence at the edge is becoming a growing necessity for low ...
11/14/2019 ∙ by George Plastiras, et al. ∙
47
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Efficient ConvNet-based Object Detection for Unmanned Aerial Vehicles by Selective Tile Processing
Many applications utilizing Unmanned Aerial Vehicles (UAVs) require the ...
11/14/2019 ∙ by George Plastiras, et al. ∙
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Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles
Unmanned Aerial Vehicles (UAVs), equipped with camera sensors can facili...
06/20/2019 ∙ by Christos Kyrkou, et al. ∙
20
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DroNet: Efficient convolutional neural network detector for real-time UAV applications
Unmanned Aerial Vehicles (drones) are emerging as a promising technology...
07/18/2018 ∙ by Christos Kyrkou, et al. ∙
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Christos Kyrkou
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University of Cyprus
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Imperial College London
