Professor Vasilis Argyriou
Faculties, deparments and locations
- Faculty of Engineering, Computing and the Environment
- Department of Networks and Digital Media
- School of Computer Science and Mathematics
- Penrhyn Road
Professor
About
I received a BSc degree in computer science from Aristotle University of Thessaloniki, Greece, and an MSc and PhD degree from the University of Surrey, both in electrical engineering, working on registration.
I joined the Communications and Signal Processing (CSP) Department at Imperial College, London, where I was a Research Fellow working on 3-D object reconstruction.
Now, I am a Professor at Kingston University working on computer vision and AI for crowd and human behaviour recognition, anomaly detection, scene analysis, and serious computer games for medical applications. I also conduct research on AI-powered augmented and virtual reality (AR/VR) systems.
Qualifications
- PhD
- MSc
- SFHEA
Domains
Research Projects
(£121,000) InnovateUK May 2024 - May 2026 Re Fibres - Using advanced deep learning, computer vision models, multispectral sensors & automated robotics to develop an end-to-end UK recycling framework for textile waste (Total Budget £1.68M) - Kingston University working in partnership with offcuts company KAPDAA, textile sorter Choose2Reuse CIC and University of Leeds, is developing an end-to-end textile recycling system offering solutions based on advanced AI and computer vision solutions, supported by robotics that can handle soft materials.
(£37,000) Home Office Feb 2024 - May 2024 Behavioural Detection Capability at Border Force (Total Budget £80,000) - Kingston University working in partnership with Fortinus Global, on solutions and technical requirements for behaviour detection using AI, and computer vision supported by a variety of sensors
(£120,000) InnovateUK April 2024 - April 2025 Portable AIFIBRES - Portable Artificial Intelligence for Textile and Fibres Recycling (Total Budget £1.3M) - Kingston University working in partnership with offcuts company KAPDAA, textile sorter Choose2Reuse CIC and large charity, Royal Opera House, is developing AiFibres - the world's-first portable plug-and-play recycling system for garments and fabrics. The system will scan, sort, and segregate 10 tonnes of garment waste per week and will use advanced AI to address critical inefficiencies in the current garment/fabric recycling process.
(£60,000) InnovateUK - CyberASAP Oct 2023 - Apr 2024 SirenPod AI-powered Honeypot for IoT Devices (Phase2) - In this project, it is proposed to develop the next generation of honeypots – the SirenPod – that will simulate the behaviour of real healthcare and medical devices. Consequently, not only will SirenPod be able to detect and analyse such attacks, but it will operate as a decoy to attract attackers away from real-value medical devices. The proposed SirenPod will deliver significant advances over the state of the art: using Artificial Intelligence to improve both current deception efficiency in interactions with attackers and actual system emulation, the SirenPod will completely address the needs of current industrial and healthcare equipment while offering flexible and extensible designs for future capability expansion.
(€405,546) HORIZON EUROPE - HORIZON-CL4-2023-HUMAN-01-01 Jan 2024 - 2027 RAIDO: Reliable AI and Data Optimization (Total Budget €10M) - RAIDO provides an integrated platform offering a holistic, end-to-end development framework to design, build, optimise and manage trustworthy, explainable, reproducible, and evolvable ML-powered software, supported and trained with synthetically generated datasets. It is focused on streamlining the process of taking machine learning models to production, while optimising, maintaining and monitoring them using blockchain and reinforcement learning technologies. RAIDO aims to unify the release cycle for machine learning optimisation and data enrichment processes. The proposed platform will enable automated testing of machine learning models and verification in terms of energy efficiency
(£24,950 -> £49,950) InnovateUK Sept 2023 - March 2024 AIFIBRES - Artificial Intelligence for Textile and Fibres Recycling - AIFIBRES is a feasibility study for advanced AI solutions on the construction of an autonomous textile analysis pipeline, data gathering, and annotation utilising scanners for ground truth verification. The whole pipeline will be integrated in this project, including sophisticated AI and computer vision technologies for automatic textile categorization and segmentation, as well as unique data analytics driven by a digital twin system. In addition, AIFIBRES will provide use cases in controlled environments (e.g., duvet fillings, building materials, regional recycling analytics, and a fashion show) demonstrating and benchmarking the AIFIBRES framework and textile processing machine in terms of quantity, quality, and time for producing new textiles.
(£31,800) InnovateUK - CyberASAP May 2023 - Sept 2023 SirenPod AI-powered Honeypot for Medical Devices (Phase1) - In this project, it is proposed to develop the next generation of honeypots – the SirenPod – that will simulate the behaviour of real healthcare and medical devices. Consequently, not only will SirenPod be able to detect and analyse such attacks, but it will operate as a decoy to attract attackers away from real-value medical devices. The proposed SirenPod will deliver significant advances over the state of the art: using Artificial Intelligence to improve both current deception efficiency in interactions with attackers and actual system emulation, the SirenPod will completely address the needs of current industrial and healthcare equipment while offering flexible and extensible designs for future capability expansion.
(€227,978) HORIZON EUROPE - HORIZON-CL4-2021-HUMAN-01-01 Oct 2022- 2025 TALON - Autonomous and Self-organized Artificial Intelligent Orchestrator for a Greener Industry 5.0 (Total Budget €4M) - This project will sculpture the road towards the next Industrial revolution by developing a fully-automated AI architecture capable of bringing intelligence near the edge in a flexible, adaptable, explainable, energy and data efficient manner. TALON introduces solutions based on and AI orchestrator and Digital Twins supported by AR/VR technologies offering automation through collaborative and/or autonomous robotics, intuitive robot programming, and human robot user-friendly interaction.
(£60,000) BIG South London KTP Aug 2022–2023 – KAPDAA - Post consumer waste stripping automation – This project will offer processes that automate the detection of fabric elements such as zippers / buttons using a mechanical process through novel manufacturing, artificial intelligence, and machine learning techniques. The overall aim is to significantly improve the processing and cutting time allowing to process more post-consumer waste into new fibres hence resulting in new recycled products for the consumers. Our contribution is on the design and development of AI and computer vision solution to analyse fabric and detect materials or related parts.
(£190,000) LEO - UAV Scene Analysis 2020-2023 - This project will provide Deep Learning solutions for scene analysis and object recognition from aerial data supporting multiple conditions and camera positions.
(£225,000) 5GRIT 2019 – 2020 5G Rural Integrated Testbed (Innovate UK) This project will provide partner companies the chance to test out their applications in managed network environments with real people. The testbed consists of the Quickline and Broadway wireless networks (leading ISPs), trials managed by Cybermoor (leading social enterprise), and use case developers which providing unmanned aerial systems (UASs) to collect video data on livestock movements which will be analysed by Kingston University (KU); precision farming; new rural broadband delivery; augmented reality for tourists. This will lay the foundation for other organisations to trial innovative applications and technologies on the testbed in future years.
(€102,800) G5437 WITNESS 2018 – 2020 Wide InTegration of sensor Networks to Enable Smart Surveillance (NATO) WITNESS proposes an innovative framework for situational awareness and decision making, to improve the effectiveness of security forces in preventing and dealing with an urban attack. This project is in collaboration with partners from the Republic of Moldova and Italy. Our work is focused on computer vision tasks related to scene analysis and understanding with further application in AR.
(€106,400) G5381, MIDAS 2018 – 2020 Control of team of mini-UAVs to support counter-terrorism missions (NATO) This a NATO funded project started in January 2018 focusing on counter-terrorism scenarios using control systems for mini-UAVs, machine learning and computer vision solutions.
(£150,000) Knowledge Transfer Partnerships 2017 Ref: KTP010695 (Kingston University Higher Education Corporation, VCA Technology Limited) A KTP project started in 2017 with VCA Technology Limited for two years focusing on pedestrian counting and simulation systems for security and market analytics. Computer vision and machine learning techniques based on deep learning will be developed and evaluated during this project.
(€908,000) H2020-IoT-01-2016 -2019 Management Of Networked IoT Wearables -Very Large Scale Demonstration of Cultural & Security Applications - MONICA (Total Budget €17M) The SoundCity Project MONICA aims to provide a very large scale demonstration of multiple existing and new Internet of Things technologies for Smarter Living. The solution will be deployed in 6 major cities in Europe. MONICA demonstrates a large scale IoT ecosystem that uses innovative wearable and portable IoT sensors and actuators with closed-loop back-end services integrated into an interoperable, cloud-based platform capable of offering a multitude of simultaneous, targeted applications.
(€121,739) Project call 'Thales' 2014-2016 Automatic Detection and Modelling of 2D and 3D Changes in the Urban Environment from Multi Modal, MultiTemporal Remote Sensing Data - UrbanMonitor This project is focused on understanding and modeling the dynamic 3D urban scenes in large-scale with many military, engineering and civilian applications, such as: urban and rural planning, mapping and updating geographic information systems, surveillance, transportation, archeology, architecture, augmented reality, 3D visualization, virtual tourism, etc.
(£64,000 Leiden-CONICYT 2014) Interaction with 3D virtual worlds using Kinect for entertainment and development The principal aim of this project is the design and development of a novel architectural framework to create new software using a natural interface with the use of the bare hands, solving some of the most problematic issues in this area, like the design of user friendly interfaces able to operate in 3D using finger tracking, gesture identification and multi camera information fusion.
(£62,000 PhD Scholarship 2013) Advanced natural fiber composite for biomedical applications This project is focusing on advanced finite element analysis to predict impact damage behaviour of fractured hip. In this project 3D reconstruction is used to obtain the hip bone structure and then the effect of low velocity impact on the hip fracture in aging people is investigated.
Supervision
RAs (Current and Previous)
• Jiri Fajtl, Scene analysis and object recognition under variety conditions 2021-2022
• Manzoor Razaak, Livestock and crop analysis using drones and computer vision 2019-2021
• Hamideh Kerdegari, Livestock and crop analysis using drones and computer vision 2018-2020
• Rob Dupre, Crowd analysis for abnormal behavior detection 2017-2020
• Bappaditya Mandal, Human detection and counting 2017-2018
• Hajar Sadeghi Sokeh, Group Behaviour analysis and retrieval 2017-2020
Ph.D. (Current)
• Akos Nagy, AI-powered augmented reality solutions for industrial applications April 2022 [DoS]
• Gordon Johnson, Advanced methods to generate personalized games using learning techniques, March 2019 [DoS]
• Demetris Andreas Lappas, Anomaly detection in video sequences, October 2019
• Stella Bounareli, Scene and face analysis for real time applications, October 2020 [DoS]
• Yusuf Abdullah Dinah, Enhancing protein structure prediction by using contact maps generated by deep learning architectures, May 2020
• Vlad Li, Scene Analysis and Low Scale Object Recognition for AR applications February 2021 [DoS]
Ph.D. (Completed)
• Anish Khadka, Deep learning techniques for real time rendering and 3D scene analysis, October 2017 [DoS]
• Jiri Fajtl, Digital Memories for elder people and dementia patients, March 2017
• Yutthana Pirunsarn, Can personality-based machine learning improve player engagement in a serious game? October 2017
• Juan Fernandez Montenegro, "Virtual reality and computer vision for Alzheimer's diagnosis" October 2014 [DoS]
• Rob Dupre, "Advanced 3D segmentation techniques for augmented reality in games and virtual environments" October 2013 [DoS]
• Raúl Antonio Herrera-Acuña "Interaction with 3D virtual worlds using Kinect" February 2011 [DoS]
• Dimitrios Konstantinidis "Building and Change Detection in Satellite Images", October 2014 (in collaboration with CERTH)
• Victoria Bloom: "Action recognition for computer games", August 2011
• Omid Razmkhah "Prediction of impact response of cracked human bone structures" Feb 2011
Master by Research (Current and Completed)
• Konrad Jablonski "Crowd Behaviour analysis and Simulation for games" October 2013
• Matthaios Doulgerakis-Kontoudis, "Vision based medical features for diagnosis and treatment" August 2015
Publications
Image, video and 3D data registration: medical, satellite and video processing applications with quality metrics
Argyriou, Vasileios, Martinez del Rincon, Jesus, Villarini, Barbara and Roche, Alex (2015). Chichester, U.K.:
Integrating thermal infrared and RGB imaging for early detection of water stress in lettuces with comparative analysis of IoT sensors
Fevgas, Georgios, Lagkas, Thomas, Papadopoulos, Petros, Sarigiannidis, Panagiotis and Argyriou, Vasileios, 2025, Smart Agricultural Technology (11), pp 100881
A comprehensive survey of Federated Intrusion Detection Systems : techniques, challenges and solutions
Makris, Ioannis, Karampasi, Aikaterini, Radoglou-Grammatikis, Panagiotis, Episkopos, Nikolaos, Iturbe, Eider, Rios, Erkuden, Piperigkos, Nikos, Lalos, Aris, Xenakis, Christos, Lagkas, Thomas, Argyriou, Vasileios and Sarigiannidis, Panagiotis, 2025, Computer Science Review (56), pp 100717
A novel air-to-ground communication scheme for advanced big data collection in smart farming using UAVs
Kakamoukas, Georgios A., Lagkas, Thomas D., Argyriou, Vasileios, Goudos, Sotirios K., Radoglou-Grammatikis, Panagiotis, Bibi, Stamatia and Sarigiannidis, Panagiotis G., 2025, IEEE Access (13), pp 16564-16583
Advances in remote sensing and propulsion systems for earth observation nanosatellites
Fevgas, Georgios, Lagkas, Thomas, Sarigiannidis, Panagiotis and Argyriou, Vasileios, 2025, Future Internet (17), 1, pp 16
Enhancing 3D object detection in autonomous vehicles based on synthetic virtual environment analysis
Li, Vladislav, Siniosoglou, Ilias, Karamitsou, Thomai, Lytos, Anastasios, Moscholios, Ioannis D., Goudos, Sotirios K., Banerjee, Jyoti S., Sarigiannidis, Panagiotis and Argyriou, Vasileios, 2024, Image and Vision Computing, pp 105385
Trustworthy analytics in ETSI ZSM : a 5G security case study
Radoglou-Grammatikis, Panagiotis, Katsaros, Efklidis, Syrmos, Evangelos, Katsikas, Georgios P., Klonidis, Dimitrios, Argyriou, Vasileios, Lagkas, Thomas and Sarigiannidis, Panagiotis, 2024, IEEE Open Journal of the Communications Society
Applied federated model personalization in the industrial domain : a comparative study
Siniosoglou, Ilias, Argyriou, Vasileios, Fragulis, George, Fouliras, Panagiotis, Papadopoulos, Georgios Th., Lytos, Anastasios and Sarigiannidis, Panagiotis, 2024, IEEE Open Journal of the Communications Society
Federated learning : challenges, SoTA, performance improvements and application domains
Schoinas, Ioannis, Triantafyllou, Anna, Ioannidis, Dimos, Tzovaras, Dimitrios, Drosou, Anastasios, Votis, Konstantinos, Lagkas, Thomas, Argyriou, Vasileios and Sarigiannidis, Panagiotis, 2024, IEEE Open Journal of the Communications Society
Introducing SPINE : a holistic approach to synthetic pulmonary imaging evaluation through end-to-end data and model management
Ntampakis, Nikolaos, Argyriou, Vasileios, Diamantaras, Konstantinos, Goulianas, Konstantinos, Sarigiannidis, Panagiotis and Siniosoglou, Ilias, 2024, IEEE Open Journal of Engineering in Medicine and Biology
The impact of greenhouse gas emissions and economic growth on health expenditure of EU countries : a panel data analysis
Dritsaki, Melina, Dritsaki, Chaido, Argyriou, Vasileios and Sarigiannidis, Panagiotis, 2024, Journal of Infrastructure, Policy and Development (8), 6, pp 4462
Channel-aware QUIC control for enhanced CAM communications in C-V2X deployments over aerial base stations
Amponis, George, Lagkas, Thomas, Argyriou, Vasileios, Radoglou-Grammatikis, Panagiotis, Kyranou, Konstantinos, Makris, Ioannis and Sarigiannidis, Panagiotis, 2024, IEEE Transactions on Vehicular Technology
One-shot neural face reenactment via finding directions in GAN's latent space
Bounareli, Stella, Tzelepis, Christos, Argyriou, Vasileios, Patras, Ioannis and Tzimiropoulos, Georgios, 2024, International Journal of Computer Vision
Detection of biotic or abiotic stress in vineyards using thermal and RGB images captured via IoT sensors
Fevgas, Georgios, Lagkas, Thomas, Argyriou, Vasileios and Sarigiannidis, Panagiotis, 2023, IEEE Access (11), pp 105902-105915
Post-processing fairness evaluation of federated models : an unsupervised approach in healthcare
Siniosoglou, Ilias, Argyriou, Vasileios, Sarigiannidis, Panagiotis, Lagkas, Thomas, Sarigiannidis, Antonios, Goudos, Sotirios K. and Wan, Shaohua, 2023, IEEE/ACM Transactions on Computational Biology and Bioinformatics
Intraclass clustering-based CNN approach for detection of malignant melanoma
Bandy, Adrian D., Spyridis, Yannis, Villarini, Barbara and Argyriou, Vasileios, 2023, Sensors (23), 2, pp 926
Anchored self‐similar 3D Gauss‐Markov mobility model for ad hoc routing scenarios
Amponis, George, Lagkas, Thomas, Argyriou, Vasileios, Moscholios, Ioannis, Zevgara, Maria, Ouzounidis, Savvas and Sarigiannidis, Panagiotis, 2023, IET Networks
Joint wireless resource and computation offloading optimization for energy efficient internet of vehicles
Pliatsios, Dimitrios, Sarigiannidis, Panagiotis, Lagkas, Thomas, Argyriou, Vasileios, Boulogeorgos, Alexandros-Apostolos A. and Baziana, Peristera, 2022, IEEE Transactions on Green Communications and Networking
Object recognition for augmented reality applications
Li, Vladislav, Amponis, Georgios, Nebel, Jean-Christophe, Argyriou, Vasileios, Lagkas, Thomas and Sarigiannidis, Panagiotis, 2022, Azerbaijan Journal of High Performance Computing (4), 1, pp 15-28
Modelling, detecting and mitigating threats against industrial healthcare systems : a combined SDN and reinforcement learning approach
Radoglou-Grammatikis, Panagiotis, Rompolos, Konstantinos, Sarigiannidis, Panagiotis, Argyriou, Vasileios, Lagkas, Thomas, Sarigiannidis, Antonios, Goudos, Sotirios and Wan, Shaohua, 2022, IEEE Transactions on Industrial Informatics (18), 3, pp 2041-2052
Modeling, detecting, and mitigating threats against industrial healthcare systems : a combined software defined networking and reinforcement learning approach
Radoglou-Grammatikis, Panagiotis, Rompolos, Konstantinos, Sarigiannidis, Panagiotis, Argyriou, Vasileios, Lagkas, Thomas, Sarigiannidis, Antonios, Goudos, Sotirios and Wan, Shaohua, 2022, IEEE Transactions on Industrial Informatics (18), 3, pp 2041-2052
Coverage path planning methods focusing on energy efficient and cooperative strategies for unmanned aerial vehicles
Fevgas, Georgios, Lagkas, Thomas, Argyriou, Vasileios and Sarigiannidis, Panagiotis, 2022, Sensors (22), 3, pp 1235
Modelling argumentation in short text : a case of social media debate
Lytos, Anastasios, Lagkas, Thomas, Sarigiannidis, Panagiotis, Argyriou, Vasileios and Eleftherakis, George, 2022, Simulation Modelling Practice and Theory (115), pp 102446
Drone-base-station for next-generation Internet-of-Things : a comparison of swarm intelligence approaches
Pliatsios, Dimitrios, Goudos, Sotirios K., Lagkas, Thomas, Argyriou, Vasileios, Boulogeorgos, Alexandros-Apostolos A. and Sarigiannidis, Panagiotis, 2022, IEEE Open Journal of Antennas and Propagation (3), pp 32-47
Extending ADR mechanism for LoRa enabled mobile end-devices
Moysiadis, Vasileios, Lagkas, Thomas, Argyriou, Vasileios, Sarigiannidis, Antonios, Moscholios, Ioannis D. and Sarigiannidis, Panagiotis, 2021, Simulation Modelling Practice and Theory (113), pp 102388
IDS for industrial applications : a federated learning approach with active personalization
Kelli, Vasiliki, Argyriou, Vasileios, Lagkas, Thomas, Fragulis, George, Grigoriou, Elisavet and Sarigiannidis, Panagiotis, 2021, Sensors (21), 20, pp 6743
Towards 6G IoT : tracing mobile sensor nodes with deep learning clustering in UAV networks
Spyridis, Yannis, Lagkas, Thomas, Sarigiannidis, Panagiotis, Argyriou, Vasileios, Sarigiannidis, Antonios, Eleftherakis, George and Zhang, Jie, 2021, Sensors (21), 11, pp e3936
A survey of Alzheimer's disease early diagnosis methods for cognitive assessment
Fernández Montenegro, Juan Manuel, Villarini, Barbara, Angelopoulou, Anastassia, Kapetanios, Epaminondas, Garcia-Rodriguez, Jose and Argyriou, Vasileios, 2020, Sensors (20), 24, pp 7292
A modular CNN-based building detector for remote sensing images
Konstantinidis, Dimitrios, Argyriou, Vasileios, Stathaki, Tania and Grammalidis, Nikolaos, 2020, Computer Networks (168), pp 107034
Improving dataset volumes and model accuracy with semi-supervised iterative self-learning
Dupre, Robert, Fajtl, Jiri, Argyriou, Vasileios and Remagnino, Paolo, 2020, IEEE Transactions on Image Processing (29), pp 4337-4348
Phase amplified correlation for improved sub-pixel motion estimation
Konstantinidis, Dimitrios, Stathaki, Tania and Argyriou, Vasileios, 2019, IEEE Transactions on Image Processing (28), 6, pp 3089-3101
A human and group behavior simulation evaluation framework utilizing composition and video analysis
Dupre, Rob and Argyriou, Vasileios, 2019, Computer Animation and Virtual Worlds (30), 1, pp e1844
UAV IoT frameworks views and challenges : towards protecting drones as "things"
Lagkas, Thomas, Argyriou, Vasileios, Bibi, Stamatia and Saruguannidis, Panagiotis, 2018, Sensors (18), 11, pp 4015
Linear latent low dimensional space for online early action recognition and prediction
Bloom, Victoria, Argyriou, Vasileios and Makris, Dimitrios, 2017, Pattern Recognition (72), pp 532-547
Cognitive evaluation for the diagnosis of Alzheimer's disease based on Turing Test and Virtual Environments
Fernandez Montenegro, Juan Manuel and Argyriou, Vasileios, 2017, (173), pp 42-51
IoT of active and healthy ageing : cases from indoor location analytics in the wild
Konstantinidis, Evdokimos I., Billis, Antonis S., Dupre, Robert, Fernandez Montenegro, Juan M., Conti, Giuseppe, Argyriou, Vasileios and Bamidis, Panagiotis D., 2017, Health and Technology (17), 1, pp 41-49
Frequency domain subpixel registration using HOG phase correlation
Argyriou, Vasileios and Tzimiropoulos, Georgios, 2017, Computer Vision and Image Understanding (155), pp 70-82
Risk analysis for smart homes and domestic robots using robust shape and physics descriptors, and complex boosting techniques
Dupre, Robert, Argyriou, Vasileios, Tzimiropoulos, George and Greenhill, Darrel, 2016, Information Sciences (372), pp 359-379
Hierarchical transfer learning for online recognition of compound actions
Bloom, Victoria, Argyriou, Vasileios and Makris, Dimitrios, 2016, Computer Vision and Image Understanding (144), pp 62-72
Building detection using enhanced HOG-LBP features and region refinement processes
Konstantinidis, Dimitrios, Stathaki, Tania, Argyriou, Vasileios and Grammalidis, Nikolaos, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (10), 3, pp 888-905
Virtual environments and cognitive tests for dementia diagnosis
Fernandez Montenegro, Juan Manuel and Argyriou, Vasileios, 2016, International Journal of Monitoring and Surveillance Technologies (4), 1, pp 10-23
A Kinect-based 3D hand-gesture interface for 3D databases
Herrera-Acuna, Raul, Argyriou, Vasileios and Velastin, Sergio, 2015, Journal on Multimodal User Interfaces (9), 2, pp 121-139
Cast shadows estimation and synthesis using the Walsh transform
Redelinghuys, Ferdinand, Argyriou, Vasileios and Petrou, Maria, 2014, Pattern Recognition Letters (48), pp 93-99
Optimal illumination directions for faces and rough surfaces for single and multiple light imaging using class-specific prior knowledge
Argyriou, Vasileios, Zafeiriou, Stefanos and Petrou, Maria, 2014, Computer Vision And Image Understanding (125), pp 16-36
Guest Editorial Introduction to the Special Issue on Modern Control for Computer Games
Argyriou, Vasileios, Kotsia, Irene, Zafeiriou, Stefanos and Petrou, Maria, 2013, IEEE Transactions On Cybernetics (43), 6, pp 1516-1518
A sparse representation method for determining the optimal illumination directions in Photometric Stereo
Argyriou, Vasileios, Zafeiriou, Stefanos, Villarini, Barbara and Petrou, Maria, 2013, Signal Processing (93), 11, pp 3027-3038
Face Recognition and Verification Using Photometric Stereo: The Photoface Database and a Comprehensive Evaluation
Zafeiriou, Stefanos, Atkinson, Gary A., Hansen, Mark F., Smith, William A. P., Argyriou, Vasileios, Petrou, Maria, Smith, Melvyn L. and Smith, Lyndon N., 2013, IEEE Transactions On Information Forensics And Security (8), 1, pp 121-135
Face Recognition and Verification using Photometric Stereo: The Photoface Database and a Comprehensive Evaluation
Zafeiriou, S., Atkinson, G.A., Hansen, M.F., Smith, W.A.P., Argyriou, V., Petrou, M., Smith, M.L. and Smith, L.N., 2013, IEEE Transactions on Information Forensics and Security (8), 1, pp 121-135
Prediction of physics simulation using dimensionality reduction and regression
Dupre, Robert, Argyriou, Vasileios and Greenhill, Darrel, 2013, Journal of Graphics Tools (17), 3, pp 99-110
Sub-Hexagonal phase correlation for motion estimation
Argyriou, V, 2011, IEEE Transactions on Image Processing (20), 1, pp 110-120
Subpixel registration with gradient correlation
Tzimiropoulos, G., Argyriou, V. and Stathaki, T., 2011, IEEE Transactions on Image Processing (20), 6, pp 1761-1767
Robust FFT-based scale-invariant image registration with image gradients
Tzimiropoulos, G., Argyriou, V., Zafeiriou, S. and Stathaki, T., 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence (32), 10, pp 1899-1906
Photometric stereo with an arbitrary number of illuminants
Argyriou, Vasileios, Petrou, Maria and Barsky, Svetlana, 2010, Computer Vision and Image Understanding (114), 8, pp 887-900
Photometric stereo: an overview
Argyriou, Vasileios and Petrou, Maria, 2008, Advances in Imaging and Electron Physics (156), pp 1-54
Gradient-Adaptive Normalized Convolution
Argyriou, V., Vlachos, T. and Piroddi, R., 2008, IEEE Signal Processing Letters (15), pp 489-492
Quad-Tree Motion Estimation in the Frequency Domain Using Gradient Correlation
Argyriou, V. and Vlachos, T., 2007, IEEE Transactions on Multimedia (9), 6, pp 1147-1154
On the estimation of subpixel motion using phase correlation
Argyriou, Vasileios and Vlachos, Theodore, 2007, Journal of Electronic Imaging (16), 3
Extrapolation-free arbitrary-shape motion estimation using phase correlation
Argyriou, Vasileios and Vlachos, Theodore, 2006, Journal of Electronic Imaging (15), 1
Performance study of gradient correlation for sub-pixel motion estimation in the frequency domain
Argyriou, V. and Vlachos, T., 2005, IEE Proceedings - Vision, Image and Signal Processing (152), 1, pp 107-114
Estimation of sub-pixel motion using gradient cross-correlation
Argyriou, V. and Vlachos, T., 2003, Electronics letters (39), 13, pp 980-982
Crowd behaviour analysis from fixed and moving cameras
Bour, Pierre, Cribelier, Emile and Argyriou, Vasileios (2019). In: Alameda-Pineda, Xavier, (eds.), Ricci, Elisa, (eds.) and Sebe, Nicu, (eds.), Multimodal behavior analysis in the wild : advances and challenges. London, U.K.: Academic Press, pp 289-322
Gaze estimation using EEG signals for HCI in augmented and virtual reality headsets
Fernndez Montenegro, Juan Manuel and Argyriou, Vasileios (2017). 2016 23rd International Conference on Pattern Recognition. IEEE Publishing, pp 1159-1164
Gradient schemes for robust FFT-based motion estimation
Tzimiropoulos, Georgios and Argyriou, Vasileios (2016). 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing : Proceedings. Piscataway, U.S.: Institute of Electrical and Electronics Engineers, pp 1781-1785
Cognitive tests for the diagnosis of Alzheimer's disease based on virtual environments
Fernandez Montenegro, Juan Manuel and Argyriou, Vasileios (2015). Proceedings of IET International Conference on Technologies for Active and Assisted Living (TechAAL). IEEE
Dynamic feature selection for online action recognition
Bloom, Victoria, Argyriou, Vasileios and Makris, Dimitrios (2013). In: Salah, Albert Ali, (eds.), Hung, Hayley, (eds.), Aran, Oya, (eds.) and Gunes, Hatice, (eds.), Human behavior understanding. Switzerland: Springer International Publishing, pp 64-76
Fast mode decision in H.264/AVC
Lambert, Peter, Mys, Stefaan, Škorupa, Jozef, Slowack, Jürgen, Van de Walle, Rik, Yuan Yang, Ming, Grecos, Christos and Argyriou, Vasileios (2010). In: Hu, Wen-Chen, (eds.) and Zuo, Yanjun, (eds.), Handheld Computing for Mobile Commerce: Applications, Concepts and Technologies. IGI Global
A closer look at data augmentation strategies for finetuning-based low/few-shot object detection
Li, Vladislav, Tsoumplekas, Georgios, Siniosoglou, Ilias, Argyriou, Vasileios, Lytos, Anastasios, Fountoukidis, Eleftherios and Sarigiannidis, Panagiotis(2024). In: 14th International Symposium on Industrial Embedded Systems, 23-25 Oct 2024 :Chengdu, China
AI4COLLAB : an AI-based threat information sharing platform
Dalamagkas, Christos, Asimopoulos, Dimitrios, Radoglou-Grammatikis, Panagiotis, Maropoulos, Nikolaos, Lagkas, Thomas, Argyriou, Vasileios, Sargsyan, Gohar and Sarigiannidis, Panagiotis(2024). In: 2024 IEEE International Conference on Cyber Security and Resilience (CSR), 02-04 Sept 2024 :London, U.K.
User experience evaluation of AR assisted industrial maintenance and support applications
Nagy, Akos, Spyridis, Yannis, Mills, Gregory J. and Argyriou, Vasileios(2024). In: 10th International Conference on Virtual Reality (ICVR), 24-26 Jul 2024 :Bournemouth, U.K.
Dynamic distinction learning : adaptive pseudo anomalies for video anomaly detection
Lappas, Demetris, Argyriou, Vasileios and Makris, Dimitrios(2024). In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024, 17-21 June 2024 :Seattle, U.S.
Detecting personal protective equipment (PPE) utilising YOLOv8 in a federated learning environment
Makris, Ioannis, Lytos, Anastasios, Kyranou, Konstantinos, Argyriou, Vasileios, Lagkas, Thomas, Kollias, Konstantinos-Filippos, Fragoulis, George F. and Sarigianndis, Panagiotis(2024). In: The 6th ETLTC International Conference on ICT Integration in Technical Education, 23-26 Jan 2024 :Aizuwakamatsu, Japan
Machine learning data-based approaches for autism spectrum disorder classification utilising facial images
Nikou, Rafail, Tsaknis, Aristeidis, Margaritis, Paschalis, Alvanos, Stylianos, Kollias, Konstantinos-Filippos, Maraslidis, George S., Asimopoulos, Nikolaos, Sarigiannidis, Panagiotis, Argyriou, Vasileios and Fragulis, George F.(2024). In: The 6th ETLTC International Conference on ICT Integration in Technical Education, 23-26 Jan 2024 :Aizuwakamatsu, Japan
HyperReenact : one-shot reenactment via jointly learning to refine and retarget faces
Bounareli, Stella, Tzelepis, Christos, Argyriou, Vasileios, Patras, Ioannis and Tzimiropoulos, Georgios(2023). In: International Conference on Computer Vision (ICCV 2023), 02-06 Oct 2023 :Paris, France
5G core PFCP intrusion detection dataset
Amponis, George, Radoglou-Grammatikis, Panagiotis, Nakas, George, Goudos, Sotirios, Argyriou, Vasileios, Lagkas, Thomas and Sarigiannidis, Panagiotis(2023). In: 12th International Conference on Modern Circuits and Systems Technologies (MOCAST), 28-30 Jun 2023 :Athens, Greece
Evaluating the effect of volatile federated timeseries on modern DNNs : attention over long/short memory
Siniosoglou, Ilias, Xouveroudis, Konstantinos, Argyriou, Vasileios, Lagkas, Thomas, Goudos, Sotirios K., Psannis, Konstantinos E. and Sarigiannidis, Panagiotis(2023). In: 12th International Conference on Modern Circuits and Systems Technologies (MOCAST), 28-30 Jun 2023 :Athens, Greece
AI-powered interfaces for extended reality to support remote maintenance
Nagy, Akos, Amponis, George, Kyranou, Konstantinos, Lagkas, Thomas, Boulogeorgos, Alexandros Apostolos, Sarigiannidis, Panagiotis and Argyriou, Vasileios(2023). In: 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGrid 2023), 01-04 May 2023 :Bangalore, India
False data injection attacks against low voltage distribution systems
Radoglou-Grammatikis, Panagiotis, Dalamagkas, Christos, Lagkas, Thomas, Zafeiropoulou, Magda, Atanasova, Maria, Zlatev, Pencho, Boulogeorgos, Alexandros-Apostolos A., Argyriou, Vasileios, Markakis, Evangelos K., Moscholios, Ioannis and Sarigiannidis, Panagiotis(2022). In: GLOBECOM 2022 - 2022 IEEE Global Communications Conference, 04-08 Dec 2022 :Rio de Janeiro, Brazil
Finding directions in GAN’s latent space for neural face reenactment
Bounareli, Stella, Argyriou, Vasileios and Tzimiropoulos, Georgios(2022). In: The 33rd British Machine Vision Conference, 21-24 Nov 2022 :London, U.K.
Efficient peer-to-peer unicasting for VANET architectures via enhanced monolithic protocols
Amponis, George, Lagkas, Thomas, Karampatzakis, Dimitris, Radoglou-Grammatikis, Panagiotis, Argyriou, Vasileios, Moscholios, Ioannis, Goudos, Sotirios and Sarigiannidis, Panagiotis(2022). In: 2022 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), 23 - 25 Sep 2022 :Ioannina, Greece
Dynamic risk assessment and certification in the power grid : a collaborative approach
Liatifis, Athanasios, Alcazar, Pedro Ruzafa, Grammatikis, Panagiotis Radoglou, Papamartzivanos, Dimitris, Menesidou, Sofianna, Krousarlis, Thomas, Alberto, Molinuevo Martin, Angulo, Inaki, Sarigiannidis, Antonios, Lagkas, Thomas, Argyriou, Vasileios, Skarmeta, Antonio and Sarigiannidis, Panagiotis(2022). In: 2022 IEEE 8th International Conference on Network Softwarization (NetSoft), 27 Jun - 01 Jul 2022 :Milan, Italy
Semi-grant-free non-orthogonal multiple access for tactile Internet of Things
Pliatsios, Dimitrios, Boulogeorgos, Alexandros-Apostolos A., Lagkas, Thomas, Argyriou, Vasileios, Moscholios, Ioannis D. and Sarigiannidis, Panagiotis(2021). In: 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 13 - 16 Sep 2021 :Helsinki, Finland
Unsupervised ethical equity evaluation of adversarial federated networks
Siniosoglou, Ilias, Argyriou, Vasileios, Bibi, Stamatia, Lagkas, Thomas and Sarigiannidis, Panagiotis(2021). In: ARES 2021: The 16th International Conference on Availability, Reliability and Security, Aug 17 - 20, 2021 :Vienna, Austria
Similarity model using gradient images to compare human and AI agents
Johnson, Gordon, Argyriou, Vasileios and Politis, Christos(2021). In: 2021 17th International Conference on Distributed Computing in Sensor Systems (DCOSS), 14 - 16 Jul 2021 :Pafos, Cyprus
Fourier transformation autoencoders for anomaly detection
Lappas, Demetris, Argyriou, Vasileios and Makris, Dimitrios(2021). In: 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 06 - 11 Jun 2021 :Toronto, Ontario, Canada (Held online)
Enforced isolation deep network for anomaly detection in images
Lappas, D., Argyriou, V. and Makris, D.(2021). In: 11th International Conference on Pattern Recognition - ICPRS-21, 17 - 19 Mar 2021 :Curico, Chile (Held online)
Growth-based 3D modelling using stem-voxels encoded in digital-DNA structures
Raymond, Thomas, Li, Vladislav and Argyriou, Vasileios(2020). In: SIGGRAPH Asia 2020, 04 - 13 Dec 2020 :Republic of Korea (Held online)
Latent Bernoulli autoencoder
Fajtl, Jiri, Argyriou, Vasileios, Monekosso, Dorothy and Remagnino, Paolo(2020). In: ICML 2020 : Thirty-seventh International Conference on Machine Learning, 13 - 18 Jul 2020 :Online
Accurate deep net crowd counting for smart IoT video acquisition devices
Khadka, Anish, Argyriou, Vasileios and Remagnino, Paolo(2020). In: 16th International Conference on Distributed Computing in Sensor Systems (DCOSS), 15 - 17 Jun 2020 :Marina del Rey, CA, U.S. (held online)
Synthetic crowd and pedestrian generator for deep learning problems
Khadka, A., Remagnino, P. and Argyriou, V.(2020). In: ICASSP 2020 : 45th International Conference on Acoustics, Speech, and Signal Processing, 04 - 08 May 2020 :Barcelona, Spain (held online)
Enhancing hall effect thruster simulations with deep recurrent networks
Mortl, Maximilian, Knoll, Aaron, Williams, Vinay, Shaw, Peter, Argyriou, Vasileios, Zamattio, Jack and Pugliese, Luca(2019). In: 36th International Electric Propulsion Conference University of Vienna, Austria, 15 - 20 Sep 2019 :Vienna, Austria
Development of PPTNet a neural network for the rapid prototyping of pulsed plasma thrusters
Williams, Vinay, Argyriou, Vasileios, Shaw, Peter, Montag, Christop, Herdrich, Geor, Knoll, Aaron and Mortl, Maximilian(2019). In: 36th International Electric Propulsion Conference University of Vienna, Austria, 15 - 20 Sep 2019 :Vienna, Austria
An integrated precision farming application based on 5G, UAV and deep learning technologies
Razaak, Manzoor, Kerdegari, Hamideh, Davies, Eleanor, Abozariba, Raouf, Broadbent, Matthew, Mason, Katy, Argyriou, Vasileios and Remagnino, Paolo(2019). In: CAIP 2019: International Conference on Computer Analysis of Images and Patterns, 06 Sep 2019 :Salerno, Italy
Multi-scale feature fused single shot detector for small object detection in UAV images
Razaak, Manzoor, Kerdegari, Hamideh, Argyriou, Vasileios and Remagnino, Paolo(2019). In: ICVS 2019: 12th International Conference on Computer Vision Systems, 23 - 25 Sep 2019 :Thessaloniki, Greece
Smart monitoring of crops using generative adversarial networks
Kerdegari, Hamideh, Razaak, Manzoor, Argyriou, Vasileios and Remagnino, Paolo(2019). In: CAIP 2019: International Conference on Computer Analysis of Images and Patterns, 03 - 05 Sep 2019 :Salerno, Italy
Urban scene segmentation using semi-supervised GAN
Kerdegari, Hamideh, Razaak, Manzoor, Argyriou, Vasileios and Remagnino, Paolo(2019). In: Image and Signal Processing for Remote Sensing XXV, 09 - 12 Sep 2019 :Strasbourg, France
Learning how to analyse crowd behaviour using synthetic data
Khadka, A.R., Oghaz, M.M., Matta, W., Cosentino, M., Remagnino, P. and Argyriou, V.(2019). In: 32nd International Conference on Computer Animation and Social Agents (CASA 2019), 01 - 03 Jul 2019 :Paris, France
Scene and environment monitoring using aerial imagery and deep learning
Maktab Dar Oghaz, Mahdi, Razaak, Manzoor, Kerdegari, Hamideh, Argyriou, Vasileios and Remagnino, Paolo(2019). In: 15th International Conference on Distributed Computing in Sensor Systems (DCOSS), 29-31 May 2019 :Santorini Island, Greece
Smart IoT cameras for crowd analysis based on augmentation for automatic pedestrian detection, simulation and annotation
Rimboux, Antoine, Dupre, Rob, Daci, Eldriona, Lagkas, Thomas, Sarigiannidis, Panagiotis, Remagnino, Paolo and Argyriou, Vasileios(2019). In: 15th Annual International Conference on Distributed Computing in Sensor Systems (DCOSS) 2019, 29-31 May 2019 :Santorini Island, Greece
Features extraction based on an origami representation of 3D landmarks
Fernandez Montenegro, Juan Manuel, Dar Oghaz, Mahdi Maktab, Gkelias, Athanasios, Tzimiropoulos, Georgios and Argyriou, Vasileios(2019). In: 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 25-27 Feb 2019 :Prague, Czech Republic
A comparison of embedded deep learning methods for person detection
Kim, Chloe Eunhyang, Dar Oghaz, Mahdi Maktab, Fajtl, Jiri, Argyriou, Vasileios and Remagnino, Paolo(2019). In: 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 25-27 Feb 2019 :Prague, Czech Republic
Summarizing videos with attention
Fajtl, Jiri, Sadeghi Sokeh, Hajar, Argyriou, Vasileios, Monekosso, Dorothy and Remagnino, Paolo(2018). In: 14th Asian Conference on Computer Vision (ACCV 2018), 02-06 Dec 2018 :Perth, Australia
Asymmetric bilateral phase correlation for optical flow estimation in the frequency domain
Argyriou, Vasileios(2018). 26-29 Nov 2018 : Las Palmas de Gran Canaria, Spain
Object 3D reconstruction based on photometric stereo and inverted rendering
Khadka, Anish R., Remagnino, Paolo and Argyriou, Vasileios(2018). 26 - 29 Nov 2018 : Las Palmas de Gran Canaria, Spain
Deep residual network with subclass discriminant analysis for crowd behavior recognition
Mandal, Bappaditya, Fajtl, Jiri, Argyriou, Vasileios, Monekosso, Dorothy and Remagnino, Paolo(2018). In: 25th IEEE International Conference on Image Processing (ICIP), 07 Oct - 10 Oct 2018 :Athens, Greece
Superframes : a temporal video segmentation
Sadeghi Sokeh, Hajar, Argyriou, Vasileios, Monekosso, Dorothy and Remagnino, Paolo(2018). In: ICPR 2018 : International Conference on Pattern Recognition, 20 - 24 Aug 2018 :Beijing, China
AMNet : memorability estimation with attention
Fajtl, Jiri, Argyriou, Vasileios, Monekosso, Dorothy and Remagnino, Paolo(2018). In: CVPR 2018, 18 - 22 Jun 2018 :Salt Lake City, U.S.
Large pose 3D face reconstruction from a single image via direct volumetric CNN regression
Jackson, Aaron S., Bulat, Adrian, Argyriou, Vasileios and Tzimiropoulos, Georgios(2017). In: ICCV 2017 : International Conference on Computer Vision, 22 - 29 Oct 2017 :Venice, Italy
Automated risk assessment for scene understanding and domestic robots using RGB-D data and 2.5D CNNs at a patch level
Dupre, Rob, Tzimiropoulos, Georgios and Argyriou, Vasileios(2017). In: Deep Learning for Robotic Vision Workshop at Computer Vision and Pattern Recognition 2017, 21 Jul 2017 :Honolulu, Hawaii, U.S.
Gaze estimation using EEG signals for HCI in augmented and virtual reality headsets
Fernndez Montenegro, Juan Manuel and Argyriou, Vasileios(2016). In: 23rd International Conference on Pattern Recognition, 04 - 08 Dec 2016 :Cancun, Mexico
Photometric stereo for 3D face reconstruction using non-linear illumination models
Villarini, Barbara, Gkelias, Athanasios and Argyriou, Vasileios(2016). In: 4th IAPR TC 9 Workshop, MPRSS 2016, 04 Dec 2016 :Cancun, Mexico
Cognitive behaviour analysis based on facial information using depth sensors
Fernandez Montenegro, Juan Manuel, Villarini, Barbara, Gkelias, Athanasios and Argyriou, Vasileios(2016). In: 2nd International Workshop on Understanding Human Activities through 3D Sensors (UHA3DS 16), 04 Dec 2016 :Cancun, Mexico
Emotion understanding using multimodal information based on autobiographical memories for Alzheimer's patients
Fernandez Montenegro, Juan Manuel, Gkelias, Athanasios and Argyriou, Vasileios(2016). In: Workshop on Assistive Vision - 13th Asian Conference on Computer Vision 2016, 20 Nov 2016 :Taipei, China
Risk assessment for RGBD scans in real time
Dupre, R., Argyriou, V. and Greenhill, D.(2016). In: 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), 20 - 25 Mar 2016 :Shanghai, China
A 3D scene analysis framework and descriptors for risk evaluation
Dupre, R., Argyriou, V., Greenhill, D. and Tzimiropoulos, G.(2015). In: 2015 International Conference on 3D Vision - 3DV 2015, 19 - 22 Oct 2015 :Lyon, France
Evaluation framework for crowd behaviour simulation and analysis based on real videos and scene reconstruction
Jablonski, Konrad, Argyriou, Vasileios, Greenhill, Darrel and Velastin, Sergio A.(2015). In: 6th Latin American Conference on Networked and Electronic Media (LACNEM-2015), 23 - 25 Sep 2015 :Medellin, Colombia
Diagnosis of Alzheimer’s disease based on virtual environments
Fernandez Montenegro, Juan Manuel and Argyriou, Vasileios(2015). In: 2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA), 06-08 Jul 2015 :Corfu, Greece
3D Voxel HOG and risk estimation
Dupre, R. and Argyriou, V.(2015). In: 2015 IEEE International Conference on Digital Signal Processing (DSP), 21-24 Jul 2015 :Singapore
DNA based image coding
Argyriou, Vasileios(2015). In: 2015 IEEE International Conference on Digital Signal Processing (DSP), 21-24 Jul 2015 :Singapore
A 3D feature for building segmentation based on shape-from-shading
Konstantinidis, Dimitrios, Argyriou, Vasileios, Stathaki, Tania and Grammalidis, Nikos(2015). In: International Conference on Computer Vision Theory and Applications (VISAPP 2015), 11 - 14 Mar 2015 :Berlin, Germany
A probabilistic feature fusion for building detection in satellite images
Konstantinidis, Dimitrios, Stathaki, Tania, Argyriou, Vasileios and Grammalidis, Nikos(2015). In: International Conference on Computer Vision Theory and Applications (VISAPP 2015), 11 - 14 Mar 2015 :Berlin, Germany
Cognitive tests for the diagnosis of Alzheimer's disease based on virtual environments
Fernandez Montenegro, Juan Manuel and Argyriou, Vasileios(2015). In: IET International Conference on Technologies for Active and Assisted Living (TechAAL 2015), 05 Nov 2015 :Kingston upon Thames, U.K.
G3Di: A Gaming Interaction Dataset and Real Time Interaction Evaluation Framework
Bloom, V. R., Argyriou, V. and Makris, D.(2014). In: ChaLearn Looking at People: pose recovery, action/interaction, gesture recognition, 6-12 Sept 2014 :Zurich, Switzerland
Clustered Spatio-temporal Manifolds for Online Action Recognition
Bloom, Victoria, Makris, Dimitrios and Argyriou, Vasileios(2014). In: 2014 22nd International Conference on Pattern Recognition (ICPR), 24-28 Aug 2014 :Stockholm, Sweden
Crowd simulation for dynamic environments based on information spreading and agents’ personal interests
Jablonski, Konrad, Argyriou, Vasileios and Greenhill, Darrel(2014). In: The Conference on Pedestrian and Evacuation Dynamics 2014 (PED 2014), 22 - 24 Oct 2014 :Delft, The Netherlands
G3Di: A Gaming Interaction Dataset with a Real Time Detection and Evaluation Framework
Bloom, Victoria, Argyriou, Vasileios and Makris, Dimitrios(2014). In: Computer Vision-ECCV 2014 Workshops, 6-7 and 12 Sept 2014 :Zurich, Switzerland
Non-Intrusive Action Symmetry Measurement for Dementia and Rehabilitation
Doulgerakis, Matthaios, Argyriou, Vasileios, Tzimiropoulos, George and Pierscionek, Barbara K.(2014). In: Medical Image Understanding and Analysis - MIUA 2014. 18th Annual Conference, 9-11 Jul 2014 :Egham, U.K.
Prediction of physics simulations for graphics and animation
Dupre, R., Argyriou, V. and Greenhill, D.(2014). In: Proceedings of SIGRAD 2014, Visual Computing, 12-13 Jun 2014 :Göteborg, Sweden
Advanced finite element analysis to predict impact damage behaviour of fractured hip
Razmkhah, O., Ghasemnejad, H., Argyriou, V. and Aboutorabi, A.(2013). In: 19th Congress of the European Society of Biomechanics (ESB 2013), Aug 25-28 2013 :Patras, Greece
Graphical interfaces for development exploiting the third dimension using Kinect
Herrera-Acuna, Raul A., Argyriou, Vasileios and Velastin, Sergio A.(2013). In: 9th International Conference on Intelligent Environments - IE'13, 18-19 Jul 2013 :Athens, Greece
3D Interaction environment for free view point TV and games using multiple tablet computers
Dupre, R., Herrera-Acuna, R., Argyriou, V. and Velastin, S.A.(2013). In: IEEE Conference on Computer Vision and Pattern Recognition Workshops, 23-28 June 2013 :Oregon, USA
Portable Multi Touch TableTop: a composite approach for industrial applications
Herrera-Acuna, R., Argyriou, V. and Velastin, S.A.(2013). In: Constantinides International workshop on Signal Processing, 25 Jan 2013 :London, U.K.
The evolution of multi touch tabletop systems
Herrera-Acuna, R., Velastin, S.A. and Argyriou, V.(2012). In: 4th Latin American Conference on Networked and Electronic Media, 17 - 19 Oct 2012 :Santiago, Chile
G3D : a gaming action dataset and real time action recognition evaluation framework
Bloom, V., Makris, D. and Argyriou, V.(2012). In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 16 - 21 Jun 2012 :Providence, Rhode Island, U.S.
Toward a Two-Handed Gesture-Based Visual 3D Interactive Object-Oriented Environment for Software Development
Herrera-Acuna, R.A.H., Fidas, C., Argyriou, V. and Velastin, S.A.(2012). In: 8th International Conference on Intelligent Environments (IE), 26 - 29 June 2012 :Guanajuato, Mexico
Action spotting exploiting the frequency domain
Kotsia, I. and Argyriou, V.(2011). In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 20-25 June 2011 :Colorado Springs, U.S.A.
The PhotoFace database
Zafeiriou, S., Hansen, M., Atkinson, G., Argyriou, V., Petrou, M., Smith, M. and Smith, L.(2011). In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 20-25 June 2011 :Colorado Springs, U.S.A.
Dense photometric stereo reconstruction on many core GPUs
Varnavas, A, Argyriou, V., Ng, J. and Bharath, A.A.(2010). In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 20-25 June 2011 :Colorado Springs, U.S.A.
Immersive and perceptual human-computer interaction using computer vision techniques
Ren, Jinchang, Vlachos, T. and Argyriou, V.(2010). In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 20-25 June 2011 :Colorado Springs, U.S.A.
Virtual university as a role playing game
Argyriou, V., Sevaslidou, M. and Zafeiriou, S.(2010). In: IEEE Education Engineering Conference (EDUCON) - "The Future of Global Learning in Engineering Education", 14 - 16 Apr 2010 :Madrid, Spain
Low complexity dense motion estimation using phase correlation
Argyriou, V. and Vlachos, T(2009). In: 16th International Conference on Digital Signal Processing, 5 July - 7 July 2009 :Santorini-Hellas, Greece
2.5D elastic graph matching algorithms
Zafeiriou, S., Petrou, M. and Argyriou, V.(2009). In: IEEE 12th International Conference on Computer Vision: Workshops, 27 Sept - 4 Oct 2009 :Kyoto, Japan
FFT-based estimation of large motions in images: A robust gradient-based approach
Tzimiropoulos, Georgios, Argyriou, Vasileios and Stathaki, Tania(2009). In: 34th IEEE International Conference on Acoustics, Speech and Signal Processing, 19 Apr - 24 Apr 2009 :Taipei, Taiwan
Generalisation of photometric stereo technique to Q-illuminants
Argyriou, Vasileios, Barsky, Svetlana and Petrou, Maria(2008). In: British Machine Vision Conference, 1 Sept - 4 Sept 2008 :Leeds, U.K.
Optimal azimuth illumination directions for photometric stereo
Argyriou, V., Kotoulas, L. and Petrou, M.(2008). In: 9th International Conference on Pattern Recognition and Image Analysis: New Information Technologies, 14 Sept- 20 Sept 2008 :Nizhny Novgorod, Russia
Recursive photometric stereo when multiple shadows and highlights are present
Argyriou, Vasileios and Petrou, Maria(2008). In: IEEE Conference on Computer Vision and Pattern Recognition, 23 June - 28 June 2008 :Anchorage, Alaska
Symmetry detection using frequency domain motion estimation techniques
Tzimiropoulos, G., Argyriou, V. and Stathaki, T.(2008). In: IEEE International Conference on Acoustics, Speech and Signal Processing, 31 Mar - 4 Apr 2008 :Las Vegas, U.S.A.
A frequency domain approach to roto-translation estimation using gradient cross-correlation
Tzimiropoulos, Georgios, Argyriou, Vasileios and Stathaki, Tania(2008). In: British Machine Vision Conference, 1 Sept - 4 Sept 2008 :Leeds, U.K.
Motion estimation using hypercomplex correlation in the wavelet domain
Argyriou, V. and Vlachos, T.(2006). In: 14th European Signal Processing Conference, 4-8 Sept 2006 :Florence, Italy
A study of sub-pixel motion estimation using phase correlation
Argyriou, V. and Vlachos, T.(2006). In: British Machine Vision Conference, 4-7 Sept 2006 :Edinburgh U.K.
Motion estimation using quad-tree phase correlation
Argyriou, V. and Vlachos, T.(2005). In: IEEE International Conference on Image Processing, 11 - 14 Sept 2005 :Genoa, Italy
Quad-Tree motion estimation in the frequency domain
Argyriou, V. and Vlachos, T.(2005). In: IEEE International Conference on Multimedia and Expo, 6 - 9 July 2005 :Amsterdam, Netherlands
A user-oriented multimodal-interface framework for general content-based multimedia retrieval
Ren, J., Vlachos, T. and Argyriou, V.(2005). In: IEEE International Conference on Multimedia and Expo, 6 - 9 July 2005 :Amsterdam, Netherlands
Using gradient correlation for sub-pixel motion estimation of video sequences
Argyriou, V. and Vlachos, T.(2004). In: IEEE International Conference on Acoustics, Speech, and Signal Processing, 17 - 21 May 2004 :Montreal, Quebec, Canada
Motion measurement using gradient-based correlation
Argyriou, V. and Vlachos, T.(2003). In: International Conference on Visual Information Engineering, 7-9 July 2003 :Guildford, U.K.