7 papers
A Deep Learning Approach for Facial Attribute Manipulation and Reconstruction in Surveillance and Reconnaissance
Anees Nashath Shaik, Barbara Villarini, Vasileios Argyriou
Surveillance systems play a critical role in security and reconnaissance, but their performance is often compromised by low-quality images and videos, leading to reduced accuracy i…
Textile Analysis for Recycling Automation using Transfer Learning and Zero-Shot Foundation Models
Yannis Spyridis, Vasileios Argyriou
Automated sorting is crucial for improving the efficiency and scalability of textile recycling, but accurately identifying material composition and detecting contaminants from sens…
MemoryPods: Enhancing Asynchronous Communication in Extended Reality
Akos Nagy, Yannis Spyridis, Gregory Mills +1
Asynchronous communication has become increasingly essential in the context of extended reality (XR), enabling users to interact and share information immersively without the const…
Cross-Format Retrieval-Augmented Generation in XR with LLMs for Context-Aware Maintenance Assistance
Akos Nagy, Yannis Spyridis, Vasileios Argyriou
This paper presents a detailed evaluation of a Retrieval-Augmented Generation (RAG) system that integrates large language models (LLMs) to enhance information retrieval and instruc…
User Experience Evaluation of AR Assisted Industrial Maintenance and Support Applications
Akos Nagy, Yannis Spyridis, Gregory J Mills +1
The paper introduces an innovative approach to industrial maintenance leveraging augmented reality (AR) technology, focusing on enhancing the user experience and efficiency. The sh…
Enhancing Vehicle Aerodynamics with Deep Reinforcement Learning in Voxelised Models
Jignesh Patel, Yannis Spyridis, Vasileios Argyriou
Aerodynamic design optimisation plays a crucial role in improving the performance and efficiency of automotive vehicles. This paper presents a novel approach for aerodynamic optimi…