Complete list of publications in descending chronological order:

• P. Valergaki, A. Argyros, G. Giannakakis and Anastasios Roussos, “Reflections on Diversity: A Real-time Virtual Mirror for Inclusive 3D Face Transformations”, 6th International Conference in Electronic Engineering, Information Technology & Education (EEITE). IEEE, 2025  [PDF]
  
  

• K. Papoutsakis, A. Argyros and G. Giannakakis, “Non invasive stress detection using body posture and motion analysis with deep neural networks” 6th International Conference in Electronic Engineering, Information Technology & Education (EEITE). IEEE, 2025 [PDF]
  
  

• F. Gouidis, K. Papoutsakis, T. Patkos, A. Argyros and D. Plexousakis, “Recognizing Unseen States of Unknown Objects by Leveraging Knowledge Graphs”, In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025), Tucson, Arizona, USA, February 2025. [PDF]
  
  

• N. Vasilikopoulos, D. Drosakis and A. Argyros, “D-PoSE: Depth as an Intermediate Representation for 3D Human Pose and Shape Estimation”, CoRR, arXiv, October 2024. [PDF]
  
  

• F. Gouidis, K. Papoutsakis, T. Patkos, A. Argyros and D. Plexousakis, "Enabling Visual Intelligence by Leveraging Visual Object States in a Neurosymbolic Framework", In Australasian Joint Conference on Artificial Intelligence (AJCAI 2024), pp. 312-320, Melbourne, Australia, November 2024. [PDF]
  
  

• V.C. Nicodemou, I. Oikonomidis and A. Argyros, “Conditional Hand Image Generation using Latent Space Supervision in Random Variable Variational Autoencoders”, In IEEE/CVF European Conference on Computer Vision Workshops (HANDS 2024 - ECCVW 2024), IEEE, Milano, Italy, September 2024. [PDF]
  
  

• F. Gouidis, K. Papantoniou, K. Papoutsakis, T. Patkos, A.A. Argyros and D. Plexousakis, “LLM-aided Knowledge Graph construction for Zero-Shot Visual Object State Classification”, In IEEE International Conference on Pattern Recognition Systems (ICPRS), University of Westminster, London, UK, July 2024. [PDF]
  
  

• F. Gouidis, K. Papantoniou, K. Papoutsakis, T. Patkos, A.A. Argyros and D. Plexousakis, “Fusing Domain-Specific Content from Large Language Models into Knowledge Graphs for Enhanced Zero Shot Object State Classification”, In AAAI Spring Symposium on Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge, (AAAI-MAKE), also available at CoRR, arXiv, Stanford University, USA, March 2024. [PDF]
  
  

• K. Bacharidis and A. Argyros, “Repetition-aware Image Sequence Sampling for Recognizing Repetitive Human Actions”, In IEEE/CVF International Conference on Computer Vision Workshops (ACVR 2023 - ICCVW 2023), IEEE, pp. 1878-1887, Paris, France, October 2023. [PDF]
  
  

• G. Karvounas, N. Kyriazis, I. Oikonomidis and A. Argyros, “Dynamic Multiview Refinement of 3D Hand Datasets using Differentiable Ray Tracing”, In IEEE/CVF International Conference on Computer Vision Workshops (AMFG 2023 - ICCVW 2023), IEEE, pp. 3156-3166, Paris, France, October 2023. [PDF]
  
  

• V. Manousaki, K. Bacharidis, K. Papoutsakis and A. Argyros, “VLMAH: Visual-Linguistic Modeling of Action History for Effective Action Anticipation”, In IEEE/CVF International Conference on Computer Vision Workshops (ACVR 2023 - ICCVW 2023), IEEE, pp. 1917-1927, Paris, France, October 2023. [PDF]
  
  

• V. Manousaki and A. Argyros, “Partial Alignment of Time Series for Action and Activity Prediction”, In Springer Book of VISAPP 2022, selected revised papers, Springer Nature Switzerland, pp. 89-107, October 2023. [PDF]
  
  

• V.C. Nicodemou, I. Oikonomidis and A. Argyros, “RV-VAE: Integrating Random Variable Algebra into Variational Autoencoders”, In IEEE/CVF International Conference on Computer Vision Workshops (ViPriors 2023 - ICCVW 2023), IEEE, pp. 196-205, Paris, France, October 2023. [PDF]
  
  

• A. Qammaz and A. Argyros, “A Unified Approach for Occlusion Tolerant 3D Facial Pose Capture and Gaze Estimation using MocapNETs”, In IEEE/CVF International Conference on Computer Vision Workshops (AMFG 2023 - ICCVW 2023), IEEE, pp. 3178-3188, Paris, France, October 2023. [PDF]
  
  

• D. Drosakis and A. Argyros, “3D Hand Shape and Pose Estimation based on 2D Hand Keypoints”, In International Conference on Pervasive Technologies Related to Assistive Environments (PETRA 2023) (Best Technical Paper Award), ACM, pp. 148-153, Corfu, Greece, July 2023. [PDF]
  
  

• A. Qammaz and A. Argyros, “Compacting MocapNET-based 3D Human Pose Estimation via Dimensionality Reduction”, In International Conference on Pervasive Technologies Related to Assistive Environments (PETRA 2023), ACM, pp. 306-312, Corfu, Greece, July 2023. [PDF]
  
  

• N. Vasilikopoulos, N. Kolotouros, A. Tsoli and A.A. Argyros, “TAPE: Temporal Attention-based Probabilistic human pose and shape Estimation”, In Scandinavian Conference on Image Analysis (SCIA 2023), also available at CoRR, arXiv, Springer, pp. 318-431, Kittilä, Finland, April 2023. [PDF]
  
  

• K. Bacharidis and A.A. Argyros, “Cross-domain Learning in Deep HAR Models via Natural Language Processing on Action Labels”, In Advances in Visual Computing (ISVC 2022), Springer, San Diego, USA, October 2022. [PDF]
  
  

• V. Manousaki, K. Papoutsakis and A.A. Argyros, “Graphing the Future: Activity and Next Active Object Prediction using Graph-based Activity Representations”, In Advances in Visual Computing (ISVC 2022), also available at CoRR, arXiv, Springer, San Diego, USA, October 2022. [PDF]
  
  

• V. Manousaki and A.A. Argyros, “Segregational Soft Dynamic Time Warping and its Application to Action Prediction”, In International Conference on Computer Vision Theory and Applications (VISAPP 2022), Scitepress, pp. 226-235, Online, February 2022. [PDF]
  
  

• K. Bacharidis and A. Argyros, “Exploiting the Nature of Repetitive Actions for Their Effective and Efficient Recognition”, Frontiers, vol. 4, 2022. [PDF]
  
  

• A. Qammaz and A.A. Argyros, “Towards Holistic Real-time Human 3D Pose Estimation using MocapNETs”, In British Machine Vision Conference (BMVC 2021), BMVA, Virtual, UK, November 2021. [PDF]
  
  

• G. Karvounas, N. Kyriazis, I. Oikonomidis, A. Tsoli and A.A. Argyros, “Multi-view Image-based Hand Geometry Refinement using Differentiable Monte Carlo Ray Tracing”, In British Machine Vision Conference (BMVC 2021), BMVA, Virtual, UK, November 2021. [PDF]