Marek Gorgoń

Marek Gorgoń

Prof Marek Gorgoń
Research and teaching professor
Head of the Group
mago@agh.edu.pl

I specialise in computer vision architectures, with particular emphasis on real-time systems, FPGA reconfigurable devices, embedded and intelligent systems. More broadly, my interests include many issues in the areas of automation and robotics, electronics and applied computer science. I am the author of 120 scientific publications.

Recent Committees (Selected)

Reviewer for Journals

  • IEEE Transactions on Software Engineering (TSE)
  • ACM Transactions on Software Engineering and Methodology (TOSEM)
  • Springer International Journal on Very Large Data Bases (VLDB)
  • Elsevier Journal of Systems and Software (JSS)
  • Elsevier Science of Computer Programming
  • IEEE Transactions on Computers
  • Elsevier Journal of Computer Languages
  • Elsevier Knowledge-based Engineering
  • IEEE Internet Computing
  • ACM Transactions on Autonomous and Adaptive Systems (TAAS)
  • Springer Empirical Software Engineering
  • Elsevier Information and Software Technology
  • Elsevier Pervasive and Mobile Computing
  • LNCS Transactions on Aspect-Oriented Software Development

Organization of Scientific Events

  • The ACM DEBS’19 conference (with Boris Koldehofe)
  • Dagstuhl Seminar “Programming Languages for Distributed Systems and Distributed Data Management” (19442), 2019
  • NII Shonan Meeting on “Programming Languages for Distributed Systems”, 2019
  • REBLS workshop series at Splash: REBLS’21,’20,’19,’18,’17,’16,’15,’14,REM’13
  • COP’16 workshop at ECOOP

Publications

2024

  1. PowerYOLO: mixed precision model for hardware efficient object detection with event data
    Dominika Przewlocka-Rus, Tomasz Kryjak, and Marek Gorgon
    In , 2024
    DOI

2022

  1. Accelerated training of object detection DNNs for embedded vision systems
    Michal Machura, Piotr Wzorek, Tomasz Kryjak, and Marek Gorgon
    In , 2022
  2. Systemy wizyjne w zastosowaniach przemyslowych
    Marek Gorgon, Maciej Aleksandrowicz, Krzysztof Blachut, Andrzej Brodzicki, Zbigniew Bublinski, and 6 more authors
    2022
    DOI

2021

  1. Hardware-software implementation of a DNN for 3D object detection using FINN - a demo
    Joanna Lis, Konrad Lis, Tomasz Kryjak, and Marek Gorgon
    In , 2021
    DOI
  2. Hardware-software implementation of the PointPillars network for 3D object detection in point clouds
    Joanna Lis, Konrad Lis, Tomasz Kryjak, and Marek Gorgon
    In , 2021
    DOI

2020

  1. A vision based hardwares̄oftware realt̄ime control system for the autonomous landing of an UAV
    Krzysztof Blachut, Hubert Szolc, Mateusz Wasala, Tomasz Kryjak, and Marek Gorgon
    In , 2020
    DOI
  2. Foreground object segmentation in RGB–D data implemented on GPU
    Piotr Janus, Tomasz Kryjak, and Marek Gorgon
    In , 2020
    DOI
  3. Optimisation of the PointPillars network for 3D object detection in point clouds
    Joanna Lis, Konrad Lis, Tomasz Kryjak, and Marek Gorgon
    In , 2020
    DOI

2019

  1. Hardwares̄oftware implementation of car detection system based on LiDAR sensor data - a demo
    Joanna Stanisz, Konrad Lis, Tomasz Kryjak, and Marek Gorgon
    In , 2019

2018

  1. Hardware implementation of multis̄cale LucasK̄anade optical flow computation algorithm – a demo
    Krzysztof Blachut, Tomasz Kryjak, and Marek Gorgon
    In , 2018
  2. Hardware – software implementation of a SFM module for navigation an unmanned aerial vehicles – a demo
    Karol Radwan, Tomasz Kryjak, and Marek Gorgon
    In , 2018
    DOI
  3. Realt̄ime hardwares̄oftware embedded vision system for ITS smart camera implemented in Zynq SoC
    Tomasz Kryjak, Mateusz Komorkiewicz, and Marek Gorgon
    Journal of Real-Time Image Processing, 2018
    DOI

2017

  1. Demo: embedded vision system for pedestrian detection based on HoG+SVM and use of motion information implemented in Zynq heterogeneous device
    Bartosz Meus, Tomasz Kryjak, and Marek Gorgon
    In , 2017
  2. Embedded vision system for pedestrian detection based on HOG+SVM and use of motion information implemented in Zynq heterogeneous device
    Bartosz Meus, Tomasz Kryjak, and Marek Gorgon
    In , 2017
    DOI
  3. Hardwares̄oftware abandoned object detection vision system in heterogeneous Zynq device
    Tomasz Kryjak, Artur Skirzynski, and Marek Gorgon
    In , 2017
    DOI
  4. Object tracking with the use of a moving camera implemented in heterogeneous Zynq SoC – a demo
    Marcin Kowalczyk, Tomasz Kryjak, and Marek Gorgon
    In , 2017

2016

  1. An efficient hardware architecture for block based image processing algorithms
    Tomasz Kryjak, Marek Gorgon, and Mateusz Komorkiewicz
    In , 2016
    DOI
  2. Demo: FPGA implementation of the flux tensor moving object detection method
    Piotr Janus, Kamil Piszczek, Tomasz Kryjak, and Marek Gorgon
    In , 2016
  3. Demo: an embedded vision system supporting the home care for convalescent or elderly people
    Piotr Konopka, Tomasz Jonak, Tomasz Kryjak, and Marek Gorgon
    In , 2016
  4. Demo: autonomous vehicle model with visionb̄ased tracking system
    Krzysztof Mazur, Tomasz Kryjak, and Marek Gorgon
    In , 2016
  5. FPGA implementation of multis̄cale pedestrian detection in thermal images
    Tomasz Kanka, Tomasz Kryjak, and Marek Gorgon
    Image Processing & Communications, 2016
  6. FPGAb̄ased hardwareīnt̄hel̄oop environment using video injection concept for camerab̄ased systems in automotive applications
    Mateusz Komorkiewicz, Pawel Skruch, Tomasz Kryjak, Krzysztof Turek, and Marek Gorgon
    In , 2016

2015

  1. FPGA based system for realt̄ime structure from motion computation
    Mateusz Komorkiewicz, Tomasz Kryjak, Katarzyna Chuchacz-Kowalczyk, Pawel Skruch, and Marek Gorgon
    In , 2015
  2. Realt̄ime implementation of background modelling algorithms in FPGA devices
    Tomasz Kryjak and Marek Gorgon
    In , 2015
    DOI
  3. Segmentation of dishes for customer service automation in a selfs̄ervice canteen
    Tomasz Kryjak, Damian Król, and Marek Gorgon
    Image Processing & Communications, 2015
    DOI
  4. Segmentation of dishes for the purposes of customer service process automation in a selfs̄ervice canteen
    Tomasz Kryjak, Damian Król, and Marek Gorgon
    In , 2015

2014

  1. Efficient hardware implementation of the HornS̄chunck algorithm for highr̄esolution realt̄ime dense optical flow sensor
    Mateusz Komorkiewicz, Tomasz Kryjak, and Marek Gorgon
    Sensors, 2014
    DOI
  2. Hardwares̄oftware implemantation of vehicle detection and counting using virtual detection lines
    Tomasz Kryjak, Mateusz Komorkiewicz, and Marek Gorgon
    In , 2014
    DOI
  3. Implementation of advanced foreground segmentation algorithms GMM, ViBE and PBAS in FPGA and GPU – a comparison
    Bartlomiej Bulat, Tomasz Kryjak, and Marek Gorgon
    In , 2014
    DOI
  4. Realt̄ime background generation and foreground object segmentation for highd̄efinition colour video stream in FPGA device
    Tomasz Kryjak, Mateusz Komorkiewicz, and Marek Gorgon
    Journal of Real-Time Image Processing, 2014
    DOI
  5. Realt̄ime foreground object detection combining the PBAS background modelling algorithm and feedback from scene analysis module
    Tomasz Kryjak, Mateusz Komorkiewicz, and Marek Gorgon
    International Journal of Electronics and Telecommunications, 2014
    DOI