I am a deputy director of the Hungarian Research Network Institute for Computer Science and Control (HUN-REN SZTAKI), and a scientific advisor (DSc) in the Machine Perception Research Laboratory (MPLab) of SZTAKI, where I am leading the research group on Geo-Information Computing (GeoComp). Besides, I am a full professor with the Faculty of Information Technology and Bionics, Péter Pázmány Catholic University (PPKE ITK), Budapest, here I give lectures in Basic Image Processing and Computer Graphics, and supervise Ph.D. and undergraduate students.

I am also serving as a vice chairman of the John von Neumann Computer Society, the oldest IT society in Hungary, I am a governing board member and former president of the Hungarian Association for Image Processing and Pattern Recognition, the Hungarian Governing Board Member in the International Association of Pattern Recognition (IAPR), a TAC member of the European Association for Signal Processing (EURASIP), and an ELLIS member.

My research work focuses on the interpretation and reconstruction of dynamic urban scenes from LIDAR point cloud sequences, using both aerial measurements and mobile/terrestrial data of different laser scanners. I also deal with various pattern recognition problems in medical image analysis and in remote sensing based on multimodal measurements, using probabilistic and machine learning based approaches. A book about my research results titled "Multi-Level Bayesian Models for Environment Perception" has been published by Springer in 2022.

I work as an Editorial Board Member for Digital Signal Processing: A Review Journal (Elsevier), and I was a Guest Editor for Remote Sensing. I have been the principal investigator of multiple Hungarian Scientific Research Fund (OTKA) projects of the National Research Development and Innovation Office of Hungary, and project leader in various National, EU-funded, EDA and ESA projects.

In the recent years, I have been a visitor among others to TUDelft, the Netherlands, to the Australian Centre for Field Robotics and to the CSIRO ICT Center at Sydney Australia, to DLR Oberpfaffenhofen and to the University of the German Armed Forces at Munich, Germany, to the University of Pisa, and to the Florida State University, Tallahassee, FL. Starting from October 2008, I worked for 12 moths as a postdoctoral researcher with the ARIANA project-team of INRIA Sophia Antipolis-Méditerranée, France. I received Janos Bolyai Research Fellowship from the Hungarian Academy of Sciences for two periods between 2010-2013 and 2015-2018, and I was awarded Bolyai Plaquette in 2019.

Contact address:

Institute for Computer Science and Control, Room 316, H-1111, Kende utca 13-17, Budapest, Hungary, Phone: (36)-1-279-6097

E-mail:

  • benedek.csaba AT sztaki.hun-ren.hu

Research interest:

  • Image and video segmentation, object recognition, event analysis

  • 3D point cloud processing

  • 3D medical image analysis and its VR/AR applications

  • Remote sensing applications: Aerial and satellite image classification, change detection, object recognition

    • Radar (ISAR) image classification, target identification and tracking

    • Aerial and terrestrial LIDAR data analysis (3D scene interpretation and reconstruction)

    • Video surveillance background segmentation, shadow detection, target tracking)

  • Statistical approaches applied in computer vision and pattern recognition

    • Markov Random Fields, Marked Point Processes, Stochastic optimization