Dr. Csaba Benedek (PhD, DSc, dr. habil) is an associate professor with the Faculty of Information Technology and Bionics of the Péter Pázmány Catholic University, Budapest, and a scientific advisor with the Machine Perception Research Laboratory of the Institute for Computer Science and Control (SZTAKI), where he is the head of the Research Group on Geo-Information Computing. Dr. Benedek is the current president of the Hungarian Image Processing and Pattern Recognition Society (Képaf), and the Hungarian Governing Board Member of the International Association for Pattern Recognition (IAPR). He is a Senior Member of IEEE, an Associate Editor of Digital Signal Processing (Elsevier) and a Guest Editor of the Remote Sensing (MDPI) journals. He received various awards including the Bolyai plaquette from the Hungarian Academy of Sciences (HAS) 2019, Researcher Acknowledgement from the HAS Secretary-General (2018), Imreh Csanád plaquette (2019), and the Michelberger Master Award from the Hungarian Academy of Engineering (2020). He has been the manager of various national and international research projects in the recent years. His research interests include Bayesian image and point cloud segmentation, object extraction, change detection, machine learning applications and GIS data analysis.


  • • Y. Ibrahim, B. Nagy and Cs. Benedek: ”Deep Learning-based Masonry Wall Image analysis,” Remote Sensing, vol. 12, no. 23, article 3918, 2020, IF: 4.509* Open Access
  • • S. Taoufiq, B. Nagy and Cs. Benedek: ”HierarchyNet: Hierarchical CNN-based Urban Building Classification,” Remote Sensing, vol. 12, no. 22, article 3794, 2020, IF: 4.509* Open Access
  • • B. Nagy and Cs. Benedek: ”On-the-Fly Camera and Lidar Calibration,” Remote Sensing, vol 12, no. 7, article 1137, 2020, IF: 4.509* Open Access
  • • B. Nagy and Cs. Benedek: ”3D CNN Based Semantic Labeling Approach for Mobile Laser Scanning Data,” IEEE Sensors Journal, vol. 19, no. 21, pp. 10034 - 10045, 2019, IF: 3.073 Open Access
  • • Cs. Benedek, B. Gálai, B. Nagy and Z. Jankó: ”Lidar-based Gait Analysis and Activity Recognition in a 4D Surveillance System,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 28, no. 1, pp. 101-113, 2018, IF: 4.046
  • • Cs. Benedek: "An Embedded Marked Point Process Framework for Three-Level Object Population Analysis", IEEE Trans. on Image Processing, vol. 26, no. 9, pp. 4430-4445, 2017, IF: 5.071
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