Publications

Hubert Szolc, Karol Desnos, Tomasz Kryjak (2024). Tangled Program Graphs as an alternative to DRL-based control algorithms for UAVs.

Dominika Przewłocka-Rus, Tomasz Kryjak, Marek Gorgoń (2024). PowerYOLO: mixed precision model for hardware efficient object detection with event data.

Kamil Jeziorek, Piotr Wzorek, Krzysztof Błachut, Andrea Pinna, Tomasz Kryjak (2024). Optimising graph representation for hardware implementation of graph convolutional networks for event-based vision.

Tomasz Kryjak (2024). Event-based vision on FPGAs – a survey.

Tomasz Kryjak, Frédéric Pétrot (2024). DSD 2024 [Dokument elektroniczny] : 2024 27th Euromicro Conference on Digital System Design : 28–30 August 2024, Paris, France : proceedings. The Institute of Electrical and Electronics Engineers.

Kamil Bialik, Marcin Kowalczyk, Krzysztof Błachut, Tomasz Kryjak (2023). Zliczanie szybkich obiektów z wykorzystaniem kamery zdarzeniowej. PAR Pomiary Automatyka Robotyka.

Sylwia Kuros, Tomasz Kryjak (2023). Traffic sign classification using deep and quantum neural networks.

Paweł Miera, Hubert Szolc, Tomasz Kryjak (2023). Sterowanie autonomicznym bezzałogowym statkiem powietrznym z wykorzystaniem uczenia przez wzmacnianie. PAR Pomiary Automatyka Robotyka.

Mariusz Grabowski, Tomasz Kryjak (2023). Real-time FPGA implementation of the semi-global matching stereo vision algorithm for a 4K/UHD video stream.

Dominika Przewłocka-Rus, Tomasz Kryjak (2023). Power-of-two quantized YOLO network for pedestrian detection with dynamic vision sensor.

Konrad Lis, Tomasz Kryjak (2023). PointPillars backbone type selection for fast and accurate LiDAR object detection.

Piotr Wzorek, Tomasz Kryjak (2023). Pedestrian detection with high-resolution event camera.

Kamil Jeziorek, Andrea Pinna, Tomasz Kryjak (2023). Memory-efficient graph convolutional networks for object classification and detection with event cameras.

Marcin Kowalczyk, Tomasz Kryjak (2023). Interpolation-based event visual data filtering algorithms.

Maciej Baczmański, Mateusz Wąsala, Tomasz Kryjak (2023). Implementation of a perception system for autonomous vehicles using a detection-segmentation network in SoC FPGA.

Krzysztof Błachut, Tomasz Kryjak (2023). High-definition event frame generation using SoC FPGA devices.

Dominika Przewłocka-Rus, Tomasz Kryjak (2023). Energy efficient hardware acceleration of neural networks with power-of-two quantisation.

Maciej Baczmański, Robert Synoczek, Mateusz Wąsala, Tomasz Kryjak (2023). Detection-segmentation convolutional neural network for autonomous vehicle perception.

Konrad Lis, Tomasz Kryjak (2023). Comparative study of subset selection methods for rapid prototyping of 3D object detection algorithms.

Maciej Baczmański, Balbina Molerus, Robert Synoczek, Tomasz Kryjak (2022). Wbudowany system percepcji i sterowania dla modelu pojazdu autonomicznego.

Maciej Baczmański, Balbina Molerus, Robert Synoczek, Tomasz Kryjak (2022). Wbudowany system percepcji i sterowania dla modelu pojazdu autonomicznego.

Piotr Wzorek, Tomasz Kryjak (2022). Traffic sign detection with event cameras and DCNN.

Kamil Jeziorek, Tomasz Kryjak (2022). Traffic sign detection and recognition using event camera image reconstruction. Zeszyty Studenckiego Towarzystwa Naukowego.

Dominika Przewłocka-Rus, Tomasz Kryjak (2022). Towards real-time and energy efficient Siamese tracking – a hardware-software approach.

Dominika Przewłocka-Rus, Tomasz Kryjak (2022). The bioinspired traffic sign classifier. Bio-Algorithms and Med-Systems.

Marek Gorgoń, Maciej Aleksandrowicz, Krzysztof Błachut, Andrzej Brodzicki, Zbigniew Bubliński, Artur Cyba, Michał Daniłowicz, Adam Głowacz, Mirosław Jabłoński, Joanna Jaworek-Korjakowska, Et Al. (2022). Systemy wizyjne w zastosowaniach przemysłowych.

Mateusz Wąsala, Tomasz Kryjak (2022). Real-time HOG+SVM based object detection using SoC FPGA for a UHD video stream.

Michał Daniłowicz, Tomasz Kryjak (2022). Real-time embedded object tracking with discriminative correlation filters using convolutional features.

Krzysztof Błachut, Tomasz Kryjak (2022). Real-time efficient FPGA implementation of the multi-scale Lucas-Kanade and Horn-Schunck optical flow algorithms for a~4K video stream. Sensors.

Tomasz Kryjak, Krzysztof Błachut, Hubert Szolc, Mateusz Wąsala (2022). Real-time CLAHE algorithm implementation in SoC FPGA device for 4K UHD video stream. Electronics.

Piotr Wzorek, Tomasz Kryjak (2022). Playing cards and bidding calls detection for automatic registration of a duplicate bridge game.

Marek Długosz, Jacek Izydorczyk, Adrian Kliks, Mateusz Komorkiewicz, Tomasz Kryjak, Paweł Skruch, Marcin Szelest (2022). Najmłodszy oddział IEEE w Polsce - co można zdziałać w 3 lata?. Elektronika : Konstrukcje, Technologie, Zastosowania.

Hubert Szolc, Tomasz Kryjak (2022). Hardware-in-the-loop simulation of a UAV autonomous landing algorithm implemented in SoC FPGA.

Marcin Kowalczyk, Tomasz Kryjak (2022). Hardware architecture for high throughput event visual data filtering with matrix of IIR filters algorithm.

Tomasz Kryjak, Andrea Pinna (2022). Guest Editorial: special issue on Design and Architectures for Signal and Image Processing 2021. Journal of Signal Processing Systems for Signal, Image, and Video Technology.

Dominika Przewłocka-Rus, Marcin Kowalczyk, Tomasz Kryjak (2022). Exploration of hardware acceleration methods for an XNOR traffic signs classifier.

Michał Machura, Michał Daniłowicz, Tomasz Kryjak (2022). Embedded object detection with custom LittleNet, FINN and vitis AI DCNN accelerators. Journal of Low Power Electronics and Applications.

Krzysztof Błachut, Michał Daniłowicz, Hubert Szolc, Mateusz Wąsala, Tomasz Kryjak, Mateusz Komorkiewicz (2022). Automotive perception system evaluation with reference data from a UAV’s camera using ArUco markers and DCNN. Journal of Signal Processing Systems for Signal, Image, and Video Technology.

Mateusz Wąsala, Hubert Szolc, Tomasz Kryjak (2022). An efficient real-time FPGA-based ORB feature extraction for an UHD video stream for embedded visual SLAM. Electronics.

Michał Machura, Piotr Wzorek, Tomasz Kryjak, Marek Gorgoń (2022). Accelerated training of object detection DNNs for embedded vision systems.

Piotr Wzorek, Tomasz Kryjak (2021). Training dataset generation for automatic registration of a duplicate bridge game. Zeszyty Studenckiego Towarzystwa Naukowego.

Dominika Przewłocka-Rus, Tomasz Kryjak (2021). The bioinspired traffic sign classifier. Bio-Algorithms and Med-Systems.

Marcin Kowalczyk, Piotr Ciarach, Dominika Przewłocka-Rus, Hubert Szolc, Tomasz Kryjak (2021). Realt̄ime FPGA implementation of parallel connected component labelling for a 4K video stream. Journal of Signal Processing Systems for Signal, Image, and Video Technology.

Dominika Przewłocka-Rus, Tomasz Kryjak (2021). Quantised Siamese tracker for 4K/UltraHD video stream – a demo.

Joanna Lis, Konrad Lis, Tomasz Kryjak, Marek Gorgoń (2021). Hardwares̄oftware implementation of the PointPillars network for 3D object detection in point clouds.

Joanna Lis, Konrad Lis, Tomasz Kryjak, Marek Gorgoń (2021). Hardwares̄oftware implementation of a DNN for 3D object detection using FINN - a demo.

Krzysztof Błachut, Michał Daniłowicz, Hubert Szolc, Mateusz Wąsala, Tomasz Kryjak, Nikodem Pankiewicz, Mateusz Komorkiewicz (2021). Automotive perception system evaluation with reference data obtained by a UAV.

Artur Cyba, Hubert Szolc, Tomasz Kryjak (2021). A simple visionb̄ased navigation and control strategy for autonomous drone racing.

Marcin Kowalczyk, Tomasz Kryjak (2021). A connected component labelling algorithm for a multip̄ixel per clock cycle video stream.

Marcin Kowalczyk, Tomasz Kryjak (2021). A comparison of realt̄ime 4K/UltraHD connected component labelling architectures.

Joanna Lis, Konrad Lis, Tomasz Kryjak, Marek Gorgoń (2020). Optimisation of the PointPillars network for 3D object detection in point clouds.

Dominika Przewłocka-Rus, Mateusz Wąsala, Hubert Szolc, Krzysztof Błachut, Tomasz Kryjak (2020). Optimisation of a Siamese neural network for realt̄ime energy efficient object tracking.

Piotr Janus, Tomasz Kryjak, Marek Gorgoń (2020). Foreground object segmentation in RGB–D data implemented on GPU.

Krzysztof Błachut, Hubert Szolc, Mateusz Wąsala, Tomasz Kryjak, Marek Gorgoń (2020). A vision based hardwares̄oftware realīme control system for the autonomous landing of an UAV.

Mateusz Wąsala (2019). An example preprint / working paper.

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Dominika Przewłocka-Rus, Marcin Kowalczyk, Tomasz Kryjak (2019). XNOR CNNs in FPGA: realt̄ime detection and classification of traffic signs in 4K – a demo.

Marcin Kowalczyk, Dominika Przewłocka-Rus, Tomasz Kryjak (2019). Realt̄ime implementation of adaptive correlation filter tracking for 4K video stream in Zynq UltraScale+ MPSoC.

Piotr Ciarach, Marcin Kowalczyk, Dominika Przewłocka-Rus, Tomasz Kryjak (2019). Realt̄ime FPGA implementation of connected component labelling for a 4K video stream.

Joanna Stanisz, Konrad Lis, Tomasz Kryjak, Marek Gorgoń (2019). Hardwares̄oftware implementation of car detection system based on LiDAR sensor data - a demo.

Karol Radwan, Tomasz Kryjak (2019). Hardware implementation of the SURF feature detector for 4K 4PPC video stream – a demo.

Kamil Piszczek, Piotr Janus, Tomasz Kryjak (2018). The use of HACP+SBT lossless compression in optimizing memory bandwidth requirement for hardware implementation of background modelling algorithms.

Marcin Kowalczyk, Dominika Przewłocka-Rus, Tomasz Kryjak (2018). Realt̄ime implementation of contextual image processing operations for 4K video stream in Zynq UltraScale+ MPSoC – a~demo.

Marcin Kowalczyk, Dominika Przewłocka-Rus, Tomasz Kryjak (2018). Realt̄ime implementation of contextual image processing operations for 4K video stream in Zynq UltraScale+ MPSoC.

Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgoń (2018). Realt̄ime hardwareōftware embedded vision system for ITS smart camera implemented in Zynq SoC. Journal of Real-Time Image Processing.

Piotr Janus, Tomasz Kryjak (2018). Hardware implementation of the Gaussian Mixture Model foreground object segmentation algorithm working with ultrah̄igh resolution video stream in realīme.

Krzysztof Błachut, Tomasz Kryjak, Marek Gorgoń (2018). Hardware implementation of multis̄cale Lucasānade optical flow computation algorithm – a~demo.

Dominika Przewłocka-Rus, Tomasz Kryjak (2018). Hardware acceleration of face detection using a deep convolutional neural network – a demo.

Karol Radwan, Tomasz Kryjak, Marek Gorgoń (2018). Hardware – software implementation of a SFM module for navigation an unmanned aerial vehicles – a~demo.

Patryk Frączek, Andre Mora, Tomasz Kryjak (2018). Embedded vision system for automated drone landing site detection – a demo.

Patryk Frączek, Andre Mora, Tomasz Kryjak (2018). Embedded vision system for automated drone landing site detection.

Marcin Kowalczyk, Tomasz Kryjak (2017). Object tracking with the use of a moving camera implemented in heterogeneous Zynq System on Chip.

Marcin Kowalczyk, Tomasz Kryjak, Marek Gorgoń (2017). Object tracking with the use of a moving camera implemented in heterogeneous Zynq SoC – a~demo.

Marcin Kowalczyk, Piotr Ciarach, Tomasz Kryjak (2017). Object tracking using a moving camera based on object detection and connected component labelling implemented in Zynq SoC. Zeszyty Studenckiego Towarzystwa Naukowego.

Tomasz Kryjak, Artur Skirzyński, Marek Gorgoń (2017). Hardwares̄oftware abandoned object detection vision system in heterogeneous Zynq device.

Bartosz Meus, Tomasz Kryjak, Marek Gorgoń (2017). Embedded vision system for pedestrian detection based on HOG+SVM and use of motion information implemented in Zynq heterogeneous device.

Bartosz Meus, Tomasz Kryjak, Marek Gorgoń (2017). Demo: embedded vision system for pedestrian detection based on HoG+SVM and use of motion information implemented in Zynq heterogeneous device.

Piotr Augustyniak, Mirosław Jabłoński, Eliasz Kańtoch, Tomasz Kryjak, Zbigniew Mikrut, Elżbieta Pociask, Jaromir Przybyło (2016). Using scanpath analysis for affects detection in computer users.

Mateusz Komorkiewicz, Paweł Skruch, Tomasz Kryjak, Krzysztof Turek, Marek Gorgoń (2016). FPGAb̄ased hardwaren̄=ē=lp̄ environment using video injection concept for camera=bad̄ systems in automotive applications.

Piotr Janus, Kamil Piszczek, Tomasz Kryjak (2016). FPGA implementation of the flux tensor moving object detection method.

Tomasz Kańka, Tomasz Kryjak, Marek Gorgoń (2016). FPGA implementation of multis̄cale pedestrian detection in thermal images. Image Processing & Communications.

Michał Drożdż, Tomasz Kryjak (2016). FPGA implementation of multis̄cale face detection using HOG features and SVM classifier. Image Processing & Communications.

Piotr Janus, Kamil Piszczek, Tomasz Kryjak, Marek Gorgoń (2016). Demo: FPGA implementation of the flux tensor moving object detection method.

Krzysztof Mazur, Tomasz Kryjak, Marek Gorgoń (2016). Demo: autonomous vehicle model with visionb̄ased tracking system.

Piotr Konopka, Tomasz Jonak, Tomasz Kryjak, Marek Gorgoń (2016). Demo: an embedded vision system supporting the home care for convalescent or elderly people.

Krzysztof Mazur, Tomasz Kryjak (2016). An embedded visionb̄ased tracking system for autonomous robot navigation. Measurement Automation and Monitoring.

Tomasz Kryjak, Marek Gorgoń, Mateusz Komorkiewicz (2016). An efficient hardware architecture for block based image processing algorithms.

Bartłomiej Hebda, Tomasz Kryjak (2016). A compact deep convolutional neural network architecture for video based age and gender estimation.

Mateusz Wąsala, Robert Ford (2015). An example journal article. Journal of Source Themes, 1(1).

Tomasz Kryjak, Damian Król (2015). Shape and colour recognition of dishes for the purpose of customer service process automation in a~selfs̄ervice canteen.

Tomasz Kryjak, Damian Król, Marek Gorgoń (2015). Segmentation of dishes for the purposes of customer service process automation in a selfs̄ervice canteen.

Tomasz Kryjak, Damian Król, Marek Gorgoń (2015). Segmentation of dishes for customer service automation in a selfs̄ervice canteen. Image Processing & Communications.

Tomasz Kryjak, Marek Gorgoń (2015). Realt̄ime implementation of background modelling algorithms in FPGA devices.

Mateusz Komorkiewicz, Tomasz Kryjak, Katarzyna Chuchacz-Kowalczyk, Paweł Skruch, Marek Gorgoń (2015). FPGA based system for realt̄ime structure from motion computation.

Bartłomiej Hebda, Tomasz Kryjak (2015). Age, race and gender estimation based on facial images. Zeszyty Studenckiego Towarzystwa Naukowego.

Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgoń (2014). Realt̄ime foreground object detection combining the PBAS background modelling algorithm and feedback from scene analysis module. International Journal of Electronics and Telecommunications.

Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgoń (2014). Realt̄ime background generation and foreground object segmentation for highēfinition colour video stream in FPGA device. Journal of Real-Time Image Processing.

Bartłomiej Bułat, Tomasz Kryjak, Marek Gorgoń (2014). Implementation of advanced foreground segmentation algorithms GMM, ViBE and PBAS in FPGA and GPU – a~comparison.

Tomasz Kryjak (2014). Implementacja zaawansowanych algorytmów przetwarzania i~analizy obrazów oraz szyfrowania w~układach reprogramowalnych [Dokument elektroniczny]. Wydawnictwa AGH.

Tomasz Kryjak (2014). Implementacja zaawansowanych algorytmów przetwarzania i analizy obrazów oraz szyfrowania w~układach reprogramowalnych.

Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgoń (2014). Hardwares̄oftware implemantation of vehicle detection and counting using virtual detection lines.

Tomasz Kryjak (2014). Foreground object segmentation in dynamic background scenarios. Image Processing & Communications.

Mateusz Komorkiewicz, Tomasz Kryjak, Marek Gorgoń (2014). Efficient hardware implementation of the HornS̄chunck algorithm for highēsolution real=m̄e dense optical flow sensor. Sensors.

Mateusz Wąsala, Robert Ford (2013). An example conference paper. In ICW.

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