Széchenyi Plan Plus | Government of Hungary. Funded by the European Union. NextGeneration EU.

EN HU
  • Discover
    • News
    • Events
  • Research fields
  • Resources
    • Publications
    • Downloads
    • Brochure
  • About us
  • Partners
  1. Home

Tamás Szirányi

HUN-REN Institute for Computer Science and Control

Prof. Tamás Szirányi received his Ph.D. and D.Sci. degrees in 1991 and 2001, by the Hungarian Academy of Sciences, Budapest. He was appointed to a Full Professor position in 2001at Pannon University, Veszprém, Hungary, and, in 2004, at the Péter Pázmány Catholic University, Budapest. Presently he is a full professor at the Budapest University of Technology and Economics.

He has been a research scientist at the Institute for Computer Science and Control (MTA SZTAKI), Hungarian Academy of Sciences since 1992, where he leads the Machine Perception Research Laboratory (earlier Distributed Events Analysis Res Lab) since 2006. With his research laboratory he has been participated in several prestigious international (ESA, EDA, FP6, FP7, OTKA) projects. The main topics with his laboratory are: Earth observation, Robot localisation, Geo-information computation, Surveillance camera networks.

Dr. Szirányi was the founder and past president (1997 to 2002) of the Hungarian Image Processing and Pattern Recognition Society. He was an Associate Editor of IEEE T. Image Processing (2003-2009), and he has been an AE of Digital Signal Processing (Elsevier) since 2012. He was honoured by the Master Professor award in 2001, by the Széchenyi professorship and the ProScientia (Veszprem) award in 2011. He is a Fellow both of the Int. Assoc. Pattern Recognition (IAPR) and the Hungarian Academy of Engineering from 2008. He has more than 280 publications including 50 in major scientific journals, and several international patents.

  • Homepage
  • Linkedin
  • Google Scholar
  • MTMT

Selected publications

  • Shadaydeh, M.; Zlinszky, A.; Manno-Kovacs, A.; Sziranyi, T.: Wetland mapping by fusion of airborne laser scanning and multi-temporal multispectral satellite imagery, International Journal of Remote Sensing, Vol. 38, No. 23, 2017, pp. 7422-7440.
  • Harsányi, K.; Kiss, A.; Szirányi, T.; Majdik, A.: MASAT: A fast and robust algorithm for pose-graph initialization, Pattern Recognition Letters, Vol. 129, January 2020, pp. 131-136.
  • Rozsa, Z.; Sziranyi, T.: Obstacle prediction for automated guided vehicles based on point clouds measured by a tilted LIDAR sensor, IEEE Transactions on Intelligent Transportation Systems, Vol. 19, No. 8, August 2018, pp. 2708-2720.
  • Rozsa, Z.; Sziranyi, T.: Object detection from a few LIDAR scanning planes, IEEE Transactions on Intelligent Vehicles, Vol. 4, No. 4, December 2019, pp. 548-560.

Become a partner

Subscribe to newsletter

Send partnership request

Explore

  • News
  • Events
  • Publications
  • Downloads
  • Partners

Research fields

  • Foundations of AI
  • Human Language Processing
  • Machine perception
  • Medical, Health and Biology
  • Security and Privacy
  • Sensors, IoT and Telecommunications

Contact us

Hungary, H-1111 Budapest,
Kende u. 13-17.

+36 1 279 6000

milab@sztaki.hun-ren.hu

© 2020-2021 Artifical Intelligence National Laboratory, Budapest