Directions
Study of algorithms and AI.
Integration of computing and physical processes in manufacturing and logistics.
Researching and applying mathematical techniques to optimise and learn from data.
The National Laboratories coordinated by HUN-REN SZTAKI aim to strengthen domestic R&D and boost the competitiveness of the economy with innovative, world-class solutions.
The goal of this Platform is to support Internet-based economy and innovation by stepping into a new era of technology. Read more
Scientific cloud services for research projects. Read more
Scientific Data Repository for the Hungarian Research Community. Read more
In: IX. magyar számítógépes grafika és geometria konferencia, GRAFGEO 2018 Neumann János Számítógép-tudományi Társaság (NJSZT), Budapest, pp. 187-191.
In: Proceedings of the British Machine Vision Conference 2016, BMVC 2016, 2016.09.19-2016.09.22, York.
In: KÉPAF 2017: Képfeldolgozók és Alakfelismerők Társaságának 11. országos konferenciája, 2017.01.24-2017.01.27, Szováta.
In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition IEEE, Piscataway (NJ), pp. 235-243.
In: KÉPAF 2015, 2015.01.27-2015.01.30, Kecskemét.
In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition IEEE, Piscataway (NJ), pp. 6733-6741.
COMPUTER VISION AND IMAGE UNDERSTANDING, xx, pp. 1-12. ISSN 1077-3142
In: International Conference on Computer Vision Theory and Applications SciTePress, Berlin, pp. 305-316.