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 ROBOTICS AND AUTOMATION LETTERS, 6 (4)., pp. 8277-8284. ISSN 2377-3766
DIGITAL SIGNAL PROCESSING, 119 ISSN 1051-2004
SZTAKI.
In: 2020 25th International Conference on Pattern Recognition (ICPR) IEEE, Piscataway (NJ), pp. 3178-3185.
PATTERN RECOGNITION LETTERS, 32 (13)., pp. 1535-1543. ISSN 0167-8655
In: 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), 2011-06-20 - 2011-06-25, Colorado Springs, Amerikai Egyesült Államok.
In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume I-3, 2012 XXII ISPRS Congress, 25 August – 01 September 2012, Melbourne, Australia, 2012-08-25 - 2012-09-01, Melbourne, Ausztrália.
In: ICIP 2011. 18th IEEE international conference on image processing, 2011-09-11 - 2010-11-30, Brussels, Belgium.
In: SPPRA 2011. 8th IASTED international conference on signal processing, pattern recognition and applications, 2011-02-16 - 2011-01-31, Innsbruck, Ausztria.
In: International Workshop on Depth Image Analysis.