activity
20232025
most citedMultimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions

8 citations · 17 across the 9 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024★ 2 cited

Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions

Panagiotis Alimisis, Ioannis Mademlis, Panagiotis Radoglou-Grammatikis +2

Image data augmentation constitutes a critical methodology in modern computer vision tasks, since it can facilitate towards enhancing the diversity and quality of training datasets…