6 papers
Model-Agnostic Open-Set Air-to-Air Visual Object Detection for Reliable UAV Perception
Spyridon Loukovitis, Anastasios Arsenos, Vasileios Karampinis +1
Open-set detection is crucial for robust UAV autonomy in air-to-air object detection under real-world conditions. Traditional closed-set detectors degrade significantly under domai…
MMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity Estimation
Dimitrios Kollias, Andreas Psaroudakis, Anastasios Arsenos +4
This paper presents MMA-MRNNet, a novel deep learning architecture for dynamic multi-output Facial Expression Intensity Estimation (FEIE) from video data. Traditional approaches to…
SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detection
Dimitrios Kollias, Anastasios Arsenos, James Wingate +1
This paper presents a new approach for effective segmentation of images that can be integrated into any model and methodology; the paradigm that we choose is classification of medi…
Complex Style Image Transformations for Domain Generalization in Medical Images
Nikolaos Spanos, Anastasios Arsenos, Paraskevi-Antonia Theofilou +3
The absence of well-structured large datasets in medical computer vision results in decreased performance of automated systems and, especially, of deep learning models. Domain gene…
Common Corruptions for Enhancing and Evaluating Robustness in Air-to-Air Visual Object Detection
Anastasios Arsenos, Vasileios Karampinis, Evangelos Petrongonas +4
The main barrier to achieving fully autonomous flights lies in autonomous aircraft navigation. Managing non-cooperative traffic presents the most important challenge in this proble…
Ensuring UAV Safety: A Vision-only and Real-time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimation
Vasileios Karampinis, Anastasios Arsenos, Orfeas Filippopoulos +5
In the last twenty years, unmanned aerial vehicles (UAVs) have garnered growing interest due to their expanding applications in both military and civilian domains. Detecting non-co…