102 citations · 248 across the 22 of their papers we have counts for
29 papers
The Gap Is in the Geometry: A Convergent Meta-Analysis of Multi-Facet Aerial and Remote Sensing Video Understanding
Georgios Angelidis, Aggelos Psiris, Maria Vakalopoulou +3
Aerial and remote sensing video is increasingly evaluated like web video, by posing multiple-choice questions to multimodal large language models (MLLMs) over sampled frames and re…
Trust Before Autonomy: Rethinking Agentic Remote Sensing for Crisis Response
Georgios Angelidis, Aggelos Psiris, Spyridon Evangelatos +4
Agentic remote sensing is evaluated on how many questions it can answer, whereas crisis response depends on whether its answers can be relied on and how much of the decision can sa…
SEAL-DT: An End-to-End Security Engineering and Assurance Framework for Cross-Domain Digital Twins
Iraklis Varlamis, Stelios Zindros, Christos Sardianos +3
Cyber-physical systems connect physical processes, software, networks and organizations. Securing them requires a clear account of what happened, what was observed, which actions w…
HANSARD: A Reference Architecture for Forensic Readiness, Runtime Witnessing, and Graded Attribution in Autonomous Multi-Agent AI Systems
Christos Sardianos, Iliana Pla, Vasilis Efthymiou +4
Autonomous multi-agent systems nowadays act in finance, software supply chains, and security operations. Already, the first largely AI-orchestrated intrusion campaigns have been re…
Sustainable Face Recognition on Low-Power Devices with VQ-VAE Embeddings
Christos Chronis, Georgios Th. Papadopoulos, Iraklis Varlamis
Face recognition has become a cornerstone of modern AI applications, yet conventional approaches often rely on computationally intensive models deployed in cloud environments, lead…
Facial Affect Analysis for Service-Oriented Systems: Advances, Challenges, and Future Visions
Spyridon Georgiou, Aggelos Psiris, Thomas Lagkas +4
Facial Affect Analysis (FAA) is evolving from a stand-alone recognition task into a reusable perception capability for Service-Oriented Software Ecosystems (SoSE). This paper prese…
Facial Expression Recognition in the Deep Learning Era: A Systematic Multi-Criteria Review of Methods, Models, Datasets, Performance, Challenges, and Future Research Directions
Spyridon Georgiou, Aggelos Psiris, Spyridon Evangelatos +5
Facial Expression Recognition (FER) has advanced rapidly over the last decade, driven by the shift from handcrafted descriptors and shallow classifiers to deep convolutional, atten…
Visual Hand Gesture Recognition with Deep Learning: A Comprehensive Review of Methods, Datasets, Challenges and Future Research Directions
Konstantinos Foteinos, Manousos Linardakis, Panagiotis Radoglou-Grammatikis +4
The rapid evolution of deep learning (DL) models and the ever-increasing size of available datasets have raised the interest of the research community in the always-important field…
X-ray illicit object detection using hybrid CNN-transformer neural network architectures
Jorgen Cani, Christos Diou, Spyridon Evangelatos +5
In the field of X-ray security applications, even the smallest details can significantly impact outcomes. Objects that are heavily occluded or intentionally concealed pose a great…
Public space security management using digital twin technologies
Stylianos Zindros, Christos Chronis, Panagiotis Radoglou-Grammatikis +4
As the security of public spaces remains a critical issue in today's world, Digital Twin technologies have emerged in recent years as a promising solution for detecting and predict…
State of play and future directions in industrial computer vision AI standards
Artemis Stefanidou, Panagiotis Radoglou-Grammatikis, Vasileios Argyriou +3
The recent tremendous advancements in the areas of Artificial Intelligence (AI) and Deep Learning (DL) have also resulted into corresponding remarkable progress in the field of Com…
Survey on Hand Gesture Recognition from Visual Input
Manousos Linardakis, Iraklis Varlamis, Georgios Th. Papadopoulos
Hand gesture recognition has become an important research area, driven by the growing demand for human-computer interaction in fields such as sign language recognition, virtual and…
Applications of Knowledge Distillation in Remote Sensing: A Survey
Yassine Himeur, Nour Aburaed, Omar Elharrouss +4
With the ever-growing complexity of models in the field of remote sensing (RS), there is an increasing demand for solutions that balance model accuracy with computational efficienc…
Entity Extraction from High-Level Corruption Schemes via Large Language Models
Panagiotis Koletsis, Panagiotis-Konstantinos Gemos, Christos Chronis +3
The rise of financial crime that has been observed in recent years has created an increasing concern around the topic and many people, organizations and governments are more and mo…
Leveraging Digital Twin Technologies for Public Space Protection and Vulnerability Assessment
Artemis Stefanidou, Jorgen Cani, Thomas Papadopoulos +4
Over the recent years, the protection of the so-called `soft-targets', i.e. locations easily accessible by the general public with relatively low, though, security measures, has em…
Multi-robot maze exploration using an efficient cost-utility method
Manousos Linardakis, Iraklis Varlamis, Georgios Th. Papadopoulos
In the field of modern robotics, robots are proving to be useful in tackling high-risk situations, such as navigating hazardous environments like burning buildings, earthquake-stri…
Distributed maze exploration using multiple agents and optimal goal assignment
Manousos Linardakis, Iraklis Varlamis, Georgios Th. Papadopoulos
Robotic exploration has long captivated researchers aiming to map complex environments efficiently. Techniques such as potential fields and frontier exploration have traditionally…
Sampling Strategies for Mitigating Bias in Face Synthesis Methods
Emmanouil Maragkoudakis, Symeon Papadopoulos, Iraklis Varlamis +1
Synthetically generated images can be used to create media content or to complement datasets for training image analysis models. Several methods have recently been proposed for the…
Exploring Machine Learning Algorithms for Infection Detection Using GC-IMS Data: A Preliminary Study
Christos Sardianos, Chrysostomos Symvoulidis, Matthias Schlögl +2
The developing field of enhanced diagnostic techniques in the diagnosis of infectious diseases, constitutes a crucial domain in modern healthcare. By utilizing Gas Chromatography-I…
Federated Learning for Computer Vision
Yassine Himeur, Iraklis Varlamis, Hamza Kheddar +5
Computer Vision (CV) is playing a significant role in transforming society by utilizing machine learning (ML) tools for a wide range of tasks. However, the need for large-scale dat…
Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques
Anastasios Iliopoulos, John Violos, Christos Diou +1
Anomaly Detection in multivariate time series is a major problem in many fields. Due to their nature, anomalies sparsely occur in real data, thus making the task of anomaly detecti…
Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions
Nikolaos Rodis, Christos Sardianos, Panagiotis Radoglou-Grammatikis +3
Despite the fact that Artificial Intelligence (AI) has boosted the achievement of remarkable results across numerous data analysis tasks, however, this is typically accompanied by…
AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving
Valerio De Caro, Saira Bano, Achilles Machumilane +11
This paper presents a proof-of-concept implementation of the AI-as-a-Service toolkit developed within the H2020 TEACHING project and designed to implement an autonomous driving per…
Blockchain-based Recommender Systems: Applications, Challenges and Future Opportunities
Yassine Himeur, Aya Sayed, Abdullah Alsalemi +6
Recommender systems have been widely used in different application domains including energy-preservation, e-commerce, healthcare, social media, etc. Such applications require the a…