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Mr. Athanasios Psaltis

Research Assistant

  • Diploma in Computer Engineering & Telecommunication Networks, University of Thessaly (2011)
  • Master of Science, specialized in Game and Media Technology, Dpt of Informatics, Utrecht University (2013)
Athanasios Psaltis received his Master’s degree from Department of Information and Computing Sciences of Utrecht University (2013), and his Diploma degree from Department of Computer Engineering & Telecommunication Networks at the University of Thessaly (2011). His master's thesis focuses on developing algorithms for sensing emotion in video. He has professionally worked as a game developer. His main research interests include computer graphics, computer vision, virtual reality, 3D reconstruction, affective computing and activity recognition. As of January 2015, he works as a research assistant in the Informatics and Telematics Institute of the Centre for Research and Technology – Hellas.

Recent Publications

Show all (21)

  • A. Kastellos, A. Psaltis, C. Z. Patrikakis, P. Daras, "FedHARM: Harmonizing Model Architectural Diversity in Federated Learning.", In Proc. of the European Conference on Computer Vision (ECCV 2024), Milan, Italy.
  • A. Psaltis, A. Kastellos, C. Z. Patrikakis, P. Daras, "FedLID: Self-Supervised Federated Learning for Leveraging Limited Image Data.",In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 1039-1048), Oct 2023.
  • A. Psaltis, C. Chatzikonstantinou, C. Z. Patrikakis, P. Daras, "FedRCIL: Federated Knowledge Distillation for Representation based Contrastive Incremental Learning.",Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023, pp. 3463-3472
  • A. Psaltis, C. Z. Patrikakis, P. Daras, "Deep Multi-modal Representation Schemes for Federated 3D Human Action Recognition.", Computer Vision – ECCV 2022 Workshops. ECCV 2022. Lecture Notes in Computer Science, vol 13806. Springer, Cham. https://doi.org/10.1007/978-3-031-25075-0_24
  • G. Kalitsios, L. Lazaridis, A. Psaltis, A. Axenopoulos, P. Daras, "Vision-Enhanced System For Human-Robot Disassembly Factory Cells: Introducing A New Screw Dataset", , IEEE International Conference on Robotics and Computer Vision (ICRCV), Sep 2022.
Contact
Mr. Athanasios Psaltis
Building B - Office 0.3

Information Technologies Institute
Centre of Research & Technology - Hellas
1st km Thermis - Panoramatos, 57001, Thermi - Thessaloniki
Tel.: +30 2310 464160 (ext. 142)
Fax: +30 2310 464164
Email: at.psaltis@iti.gr

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