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: 21st International Conference on Pattern Recognition (ICPR 2012), 2012-11-11 - 2012-11-15, Tsukuba, Japán.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 23 (1)., pp. 105-115. ISSN 1051-8215
In: Képfeldolgozók és Alakfelismerők Társaságának 10. országos konferenciája, 2015.01.27-2015.01.30, Kecskemét.
In: KÉPAF 2019: Képfeldolgozók és Alakfelismerők Társaságának 12. országos konferenciája, 2019.01.28-2019.01.31, [Debrecen].
IEEE Transactions on Image Processing, 17 (4)., pp. 608-621.
PATTERN RECOGNITION LETTERS, 32 (13)., pp. 1535-1543. ISSN 0167-8655
MTA SZTAKI.
In: Computer Vision - ACCV 2014 Workshops, Singapore, Singapore, November 1-2, 2014, Revised Selected Papers, Part I Lecture Notes in Computer Science (9008) Springer, Cham, pp. 413-425. ISSN 0302-9743
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 14 (7)., pp. 992-996. ISSN 1545-598X
In: AVSS 2005. IEEE international conference on advanced video and signal based surveillance. Como, 2005..