activity
20182021
most citedRobust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead

117 citations · 227 across the 8 of their papers we have counts for

collaborators

11 papers

cs.CV20214 cited

DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder

Andreas Papachristodoulou, Christos Kyrkou, Theocharis Theocharides

Autonomous vehicles increasingly rely on cameras to provide the input for perception and scene understanding and the ability of these models to classify their environment and objec…

cs.CV202110 cited

C^3Net: End-to-End deep learning for efficient real-time visual active camera control

Christos Kyrkou

The need for automated real-time visual systems in applications such as smart camera surveillance, smart environments, and drones necessitates the improvement of methods for visual…

eess.IV2021

Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report

Andrey Ignatov, Grigory Malivenko, Radu Timofte +28

Camera scene detection is among the most popular computer vision problem on smartphones. While many custom solutions were developed for this task by phone vendors, none of the desi…

cs.CV2021

EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion

Christos Kyrkou, Theocharis Theocharides

Deep learning-based algorithms can provide state-of-the-art accuracy for remote sensing technologies such as unmanned aerial vehicles (UAVs)/drones, potentially enhancing their rem…

cs.CR2021117 cited

Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead

Muhammad Shafique, Mahum Naseer, Theocharis Theocharides +4

Machine Learning (ML) techniques have been rapidly adopted by smart Cyber-Physical Systems (CPS) and Internet-of-Things (IoT) due to their powerful decision-making capabilities. Ho…

cs.CV20204 cited

Imitation-Based Active Camera Control with Deep Convolutional Neural Network

Christos Kyrkou

The increasing need for automated visual monitoring and control for applications such as smart camera surveillance, traffic monitoring, and intelligent environments, necessitates t…