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: 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017 IEEE Computer Society Press, Los Alamitos, pp. 2557-2565.
In: KÉPAF 2015, 2015.01.27-2015.01.30, Kecskemét.
In: ECCV 2018, 2018.09.08-2018.09.14, München.
In: Proceedings of the British Machine Vision Conference 2016, BMVC 2016, 2016.09.19-2016.09.22, York.
IEEE TRANSACTIONS ON IMAGE PROCESSING, 28 (7)., pp. 3301-3310. ISSN 1057-7149
In: KÉPAF 2017: Képfeldolgozók és Alakfelismerők Társaságának 11. országos konferenciája, 2017.01.24-2017.01.27, Szováta.
IEEE TRANSACTIONS ON IMAGE PROCESSING, 27 (11)., pp. 5328-5337. ISSN 1057-7149
In: IX. magyar számítógépes grafika és geometria konferencia, GRAFGEO 2018 Neumann János Számítógép-tudományi Társaság (NJSZT), Budapest, pp. 187-191.