8 papers
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…
Interactive Augmented Reality-enabled Outdoor Scene Visualization For Enhanced Real-time Disaster Response
Dimitrios Apostolakis, Georgios Angelidis, Vasileios Argyriou +2
A user-centered AR interface for disaster response is presented in this work that uses 3D Gaussian Splatting (3DGS) to visualize detailed scene reconstructions, while maintaining s…
Foundation Models in Robotics: A Comprehensive Review of Methods, Models, Datasets, Challenges and Future Research Directions
Aggelos Psiris, Vasileios Argyriou, Evangelos K. Markakis +6
Over the recent years, the field of robotics has been undergoing a transformative paradigm shift from fixed, single-task, domain-specific solutions towards adaptive, multi-function…
Open-Vocabulary vs Supervised Learning Methods for Post-Disaster Visual Scene Understanding
Anna Michailidou, Georgios Angelidis, Vasileios Argyriou +2
Aerial imagery is critical for large-scale post-disaster damage assessment. Automated interpretation remains challenging due to clutter, visual variability, and strong cross-event…
FR-GESTURE: An RGBD Dataset For Gesture-based Human-Robot Interaction In First Responder Operations
Konstantinos Foteinos, Georgios Angelidis, Aggelos Psiris +3
The ever increasing intensity and number of disasters make even more difficult the work of First Responders (FRs). Artificial intelligence and robotics solutions could facilitate t…
Exploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond
Spyridon Evangelatos, Eleni Veroni, Vasilis Efthymiou +3
Counterfactual explanations have emerged as a prominent method in Explainable Artificial Intelligence (XAI), providing intuitive and actionable insights into Machine Learning model…