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
IEEE MultiMedia, 16 (3)., pp. 48-58. ISSN 1070-986X
In: Innováció és fenntartható felszíni közlekedés, IFFK 2016 Magyar Mérnökakadémia (MMA), Budapest, pp. 170-175.
Springer, Berlin, pp. 59-68.
In: VIII. Magyar Számítógépes Grafika és Geometria Konferencia Neumann János Számítógép-tudományi Társaság (NJSZT), Budapest, pp. 27-32.
Machine Vision and Applications, 21 (5)., pp. 767-777. ISSN 0932-8092
In: KÉPAF 2009. 7th conference of Hungarian Association for Image Processing and Pattern Recognition. Budapest, 2009..
In: AVSS 2009. 6th IEEE international conference on advanced video and signal based surveillance. Genoa, 2009..
In: 12th IEEE International Conference on Control and Automation, ICCA 2016 IEEE, New York, pp. 707-713.
In: BMVC 2010. British machine vision conference. Aberystwyth, 2010..
In: 23rd International Conference on Pattern Recognition (ICPR) IEEE, Cancun, pp. 3680-3685.