7 citations · 13 across the 22 of their papers we have counts for
9 papers · 1 filter
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…
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…
Enhancing 3D Object Detection in Autonomous Vehicles Based on Synthetic Virtual Environment Analysis
Vladislav Li, Ilias Siniosoglou, Thomai Karamitsou +6
Autonomous Vehicles (AVs) use natural images and videos as input to understand the real world by overlaying and inferring digital elements, facilitating proactive detection in an e…
A Closer Look at Data Augmentation Strategies for Finetuning-Based Low/Few-Shot Object Detection
Vladislav Li, Georgios Tsoumplekas, Ilias Siniosoglou +4
Current methods for low- and few-shot object detection have primarily focused on enhancing model performance for detecting objects. One common approach to achieve this is by combin…
Autonomous AI-enabled Industrial Sorting Pipeline for Advanced Textile Recycling
Yannis Spyridis, Vasileios Argyriou, Antonios Sarigiannidis +2
The escalating volumes of textile waste globally necessitate innovative waste management solutions to mitigate the environmental impact and promote sustainability in the fashion in…
Evaluation of Environmental Conditions on Object Detection using Oriented Bounding Boxes for AR Applications
Vladislav Li, Barbara Villarini, Jean-Christophe Nebel +3
The objective of augmented reality (AR) is to add digital content to natural images and videos to create an interactive experience between the user and the environment. Scene analy…