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: KÉPAF 2017: Képfeldolgozók és Alakfelismerők Társaságának 11. országos konferenciája, 2017.01.24-2017.01.27, Szováta.
LECTURE NOTES IN COMPUTER SCIENCE, 3212, pp. 347-354.
In: 4th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) BME Közlekedésmérnöki és Járműmérnöki Kar, Budapest, pp. 413-417.
In: KÉPAF 2019: Képfeldolgozók és Alakfelismerők Társaságának 12. országos konferenciája, 2019.01.28-2019.01.31, Debrecen, Hungary.
In: III. GRAFGEO.
INTERNATIONAL JOURNAL OF REMOTE SENSING, 38 (23)., pp. 7422-7440. ISSN 0143-1161
In: Applications of computer vision 06. Workshop in conjuction with ECCV 2006. Proceedings. Graz, 2006..
In: ACIVS 2007. 9th international conference on advanced concepts for intelligent vision systems. Delft, 2007. (Lecture notes in computer science 4678.).
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL PROCESSING, 40 (3)., pp. 223-231.
In: Int. Conference on Computer Vision Theory and Applications. Lisbon, Portugália.