Papers

2024

1. DSD 2024 [Dokument elektroniczny] : 2024 27th Euromicro Conference on Digital System Design : 28–30 August 2024, Paris, France : proceedings

   2024

   DOI
2. Event-based vision on FPGAs – a survey

   Tomasz Kryjak

   In , 2024

   DOI
3. Optimising graph representation for hardware implementation of graph convolutional networks for event-based vision

   Kamil Jeziorek, Piotr Wzorek, Krzysztof Błachut, and 2 more authors

   In , 2024

   DOI
4. PowerYOLO: mixed precision model for hardware efficient object detection with event data

   Dominika Przewłocka-Rus, Tomasz Kryjak, and Marek Gorgoń

   In , 2024

   DOI
5. Tangled Program Graphs as an alternative to DRL-based control algorithms for UAVs

   Hubert Szolc, Karol Desnos, and Tomasz Kryjak

   In , 2024

   DOI

2023

1. Comparative study of subset selection methods for rapid prototyping of 3D object detection algorithms

   Konrad Lis and Tomasz Kryjak

   In , 2023

   DOI
2. Detection-segmentation convolutional neural network for autonomous vehicle perception

   Maciej Baczmański, Robert Synoczek, Mateusz Wąsala, and 1 more author

   In , 2023

   DOI
3. Energy efficient hardware acceleration of neural networks with power-of-two quantisation

   Dominika Przewłocka-Rus and Tomasz Kryjak

   In , 2023

   DOI
4. High-definition event frame generation using SoC FPGA devices

   Krzysztof Błachut and Tomasz Kryjak

   In , 2023

   DOI
5. Implementation of a perception system for autonomous vehicles using a detection-segmentation network in SoC FPGA

   Maciej Baczmański, Mateusz Wąsala, and Tomasz Kryjak

   In , 2023

   DOI
6. Interpolation-based event visual data filtering algorithms

   Marcin Kowalczyk and Tomasz Kryjak

   In , 2023

   DOI
7. Memory-efficient graph convolutional networks for object classification and detection with event cameras

   Kamil Jeziorek, Andrea Pinna, and Tomasz Kryjak

   In , 2023

   DOI
8. Pedestrian detection with high-resolution event camera

   Piotr Wzorek and Tomasz Kryjak

   2023

   DOI
9. PointPillars backbone type selection for fast and accurate LiDAR object detection

   Konrad Lis and Tomasz Kryjak

   In , 2023

   DOI
10. Power-of-two quantized YOLO network for pedestrian detection with dynamic vision sensor

    Dominika Przewłocka-Rus and Tomasz Kryjak

    In , 2023

    DOI
11. Real-time FPGA implementation of the semi-global matching stereo vision algorithm for a 4K/UHD video stream

    Mariusz Grabowski and Tomasz Kryjak

    In , 2023

    DOI
12. Sterowanie autonomicznym bezzałogowym statkiem powietrznym z wykorzystaniem uczenia przez wzmacnianie

    Paweł Miera, Hubert Szolc, and Tomasz Kryjak

    PAR Pomiary Automatyka Robotyka, 2023

    DOI
13. Traffic sign classification using deep and quantum neural networks

    Sylwia Kuros and Tomasz Kryjak

    In , 2023

    DOI
14. Zliczanie szybkich obiektów z wykorzystaniem kamery zdarzeniowej

    Kamil Bialik, Marcin Kowalczyk, Krzysztof Błachut, and 1 more author

    PAR Pomiary Automatyka Robotyka, 2023

    DOI

2022

1. Accelerated training of object detection DNNs for embedded vision systems

   Michał Machura, Piotr Wzorek, Tomasz Kryjak, and 1 more author

   In , 2022
2. An efficient real-time FPGA-based ORB feature extraction for an UHD video stream for embedded visual SLAM

   Mateusz Wąsala, Hubert Szolc, and Tomasz Kryjak

   Electronics, 2022

   DOI
3. Automotive perception system evaluation with reference data from a UAV’s camera using ArUco markers and DCNN

   Krzysztof Błachut, Michał Daniłowicz, Hubert Szolc, and 3 more authors

   Journal of Signal Processing Systems for Signal, Image, and Video Technology, 2022

   DOI
4. Embedded object detection with custom LittleNet, FINN and vitis AI DCNN accelerators

   Michał Machura, Michał Daniłowicz, and Tomasz Kryjak

   Journal of Low Power Electronics and Applications, 2022

   DOI
5. Exploration of hardware acceleration methods for an XNOR traffic signs classifier

   Dominika Przewłocka-Rus, Marcin Kowalczyk, and Tomasz Kryjak

   In , 2022

   DOI
6. Guest Editorial: special issue on Design and Architectures for Signal and Image Processing 2021

   Tomasz Kryjak and Andrea Pinna

   Journal of Signal Processing Systems for Signal, Image, and Video Technology, 2022

   DOI
7. Hardware architecture for high throughput event visual data filtering with matrix of IIR filters algorithm

   Marcin Kowalczyk and Tomasz Kryjak

   In , 2022

   DOI
8. Hardware-in-the-loop simulation of a UAV autonomous landing algorithm implemented in SoC FPGA

   Hubert Szolc and Tomasz Kryjak

   In , 2022

   DOI
9. Najmłodszy oddział IEEE w Polsce - co można zdziałać w 3 lata?

   Marek Długosz, Jacek Izydorczyk, Adrian Kliks, and 4 more authors

   Elektronika : Konstrukcje, Technologie, Zastosowania, 2022

   DOI
10. Playing cards and bidding calls detection for automatic registration of a duplicate bridge game

    Piotr Wzorek and Tomasz Kryjak

    In , 2022
11. Real-time CLAHE algorithm implementation in SoC FPGA device for 4K UHD video stream

    Tomasz Kryjak, Krzysztof Błachut, Hubert Szolc, and 1 more author

    Electronics, 2022

    DOI
12. Real-time HOG+SVM based object detection using SoC FPGA for a UHD video stream

    Mateusz Wąsala and Tomasz Kryjak

    In , 2022

    DOI
13. Real-time efficient FPGA implementation of the multi-scale Lucas-Kanade and Horn-Schunck optical flow algorithms for a 4K video stream

    Krzysztof Błachut and Tomasz Kryjak

    Sensors, 2022

    DOI
14. Real-time embedded object tracking with discriminative correlation filters using convolutional features

    Michał Daniłowicz and Tomasz Kryjak

    In , 2022

    DOI
15. Systemy wizyjne w zastosowaniach przemysłowych

    Marek Gorgoń, Maciej Aleksandrowicz, Krzysztof Błachut, and 8 more authors

    2022

    DOI
16. The bioinspired traffic sign classifier

    Dominika Przewłocka-Rus and Tomasz Kryjak

    Bio-Algorithms and Med-Systems, 2022

    DOI
17. Towards real-time and energy efficient Siamese tracking – a hardware-software approach

    Dominika Przewłocka-Rus and Tomasz Kryjak

    In , 2022

    DOI
18. Traffic sign detection and recognition using event camera image reconstruction

    Kamil Jeziorek and Tomasz Kryjak

    Zeszyty Studenckiego Towarzystwa Naukowego, 2022
19. Traffic sign detection with event cameras and DCNN

    Piotr Wzorek and Tomasz Kryjak

    In , 2022

    DOI
20. Wbudowany system percepcji i sterowania dla modelu pojazdu autonomicznego

    Maciej Baczmański, Balbina Molerus, Robert Synoczek, and 1 more author

    2022
21. Wbudowany system percepcji i sterowania dla modelu pojazdu autonomicznego

    Maciej Baczmański, Balbina Molerus, Robert Synoczek, and 1 more author

    In , 2022

2021

1. A comparison of realt̄ime 4K/UltraHD connected component labelling architectures

   Marcin Kowalczyk and Tomasz Kryjak

   In , 2021

   DOI
2. A connected component labelling algorithm for a multip̄ixel per clock cycle video stream

   Marcin Kowalczyk and Tomasz Kryjak

   In , 2021

   DOI
3. A simple visionb̄ased navigation and control strategy for autonomous drone racing

   Artur Cyba, Hubert Szolc, and Tomasz Kryjak

   In , 2021

   DOI
4. Automotive perception system evaluation with reference data obtained by a UAV

   Krzysztof Błachut, Michał Daniłowicz, Hubert Szolc, and 4 more authors

   In , 2021

   DOI
5. Hardwares̄oftware implementation of a DNN for 3D object detection using FINN - a demo

   Joanna Lis, Konrad Lis, Tomasz Kryjak, and 1 more author

   In , 2021

   DOI
6. Hardwares̄oftware implementation of the PointPillars network for 3D object detection in point clouds

   Joanna Lis, Konrad Lis, Tomasz Kryjak, and 1 more author

   In , 2021

   DOI
7. Quantised Siamese tracker for 4K/UltraHD video stream – a demo

   Dominika Przewłocka-Rus and Tomasz Kryjak

   In , 2021

   DOI
8. Realt̄ime FPGA implementation of parallel connected component labelling for a 4K video stream

   Marcin Kowalczyk, Piotr Ciarach, Dominika Przewłocka-Rus, and 2 more authors

   Journal of Signal Processing Systems for Signal, Image, and Video Technology, 2021

   DOI
9. The bioinspired traffic sign classifier

   Dominika Przewłocka-Rus and Tomasz Kryjak

   Bio-Algorithms and Med-Systems, 2021

   DOI
10. Training dataset generation for automatic registration of a duplicate bridge game

    Piotr Wzorek and Tomasz Kryjak

    Zeszyty Studenckiego Towarzystwa Naukowego, 2021

2020

1. A vision based hardwares̄oftware realt̄ime control system for the autonomous landing of an UAV

   Krzysztof Błachut, Hubert Szolc, Mateusz Wąsala, and 2 more authors

   In , 2020

   DOI
2. Foreground object segmentation in RGB–D data implemented on GPU

   Piotr Janus, Tomasz Kryjak, and Marek Gorgoń

   In , 2020

   DOI
3. Optimisation of a Siamese neural network for realt̄ime energy efficient object tracking

   Dominika Przewłocka-Rus, Mateusz Wąsala, Hubert Szolc, and 2 more authors

   In , 2020

   DOI
4. Optimisation of the PointPillars network for 3D object detection in point clouds

   Joanna Lis, Konrad Lis, Tomasz Kryjak, and 1 more author

   In , 2020

   DOI

2019

1. Hardware implementation of the SURF feature detector for 4K 4PPC video stream – a demo

   Karol Radwan and Tomasz Kryjak

   In , 2019
2. Hardwares̄oftware implementation of car detection system based on LiDAR sensor data - a demo

   Joanna Stanisz, Konrad Lis, Tomasz Kryjak, and 1 more author

   In , 2019
3. Realt̄ime FPGA implementation of connected component labelling for a 4K video stream

   Piotr Ciarach, Marcin Kowalczyk, Dominika Przewłocka-Rus, and 1 more author

   In , 2019

   DOI
4. Realt̄ime implementation of adaptive correlation filter tracking for 4K video stream in Zynq UltraScale+ MPSoC

   Marcin Kowalczyk, Dominika Przewłocka-Rus, and Tomasz Kryjak

   In , 2019

   DOI
5. XNOR CNNs in FPGA: realt̄ime detection and classification of traffic signs in 4K – a demo

   Dominika Przewłocka-Rus, Marcin Kowalczyk, and Tomasz Kryjak

   In , 2019

2018

1. Embedded vision system for automated drone landing site detection

   Patryk Frączek, Andre Mora, and Tomasz Kryjak

   In , 2018

   DOI
2. Embedded vision system for automated drone landing site detection – a demo

   Patryk Frączek, Andre Mora, and Tomasz Kryjak

   In , 2018
3. Hardware acceleration of face detection using a deep convolutional neural network – a demo

   Dominika Przewłocka-Rus and Tomasz Kryjak

   In , 2018
4. Hardware implementation of multis̄cale LucasK̄anade optical flow computation algorithm – a demo

   Krzysztof Błachut, Tomasz Kryjak, and Marek Gorgoń

   In , 2018
5. Hardware implementation of the Gaussian Mixture Model foreground object segmentation algorithm working with ultrah̄igh resolution video stream in realt̄ime

   Piotr Janus and Tomasz Kryjak

   In , 2018

   DOI
6. Hardware – software implementation of a SFM module for navigation an unmanned aerial vehicles – a demo

   Karol Radwan, Tomasz Kryjak, and Marek Gorgoń

   In , 2018

   DOI
7. Realt̄ime hardwares̄oftware embedded vision system for ITS smart camera implemented in Zynq SoC

   Tomasz Kryjak, Mateusz Komorkiewicz, and Marek Gorgoń

   Journal of Real-Time Image Processing, 2018

   DOI
8. Realt̄ime implementation of contextual image processing operations for 4K video stream in Zynq UltraScale+ MPSoC

   Marcin Kowalczyk, Dominika Przewłocka-Rus, and Tomasz Kryjak

   In , 2018

   DOI
9. Realt̄ime implementation of contextual image processing operations for 4K video stream in Zynq UltraScale+ MPSoC – a demo

   Marcin Kowalczyk, Dominika Przewłocka-Rus, and Tomasz Kryjak

   In , 2018
10. The use of HACP+SBT lossless compression in optimizing memory bandwidth requirement for hardware implementation of background modelling algorithms

    Kamil Piszczek, Piotr Janus, and Tomasz Kryjak

    In , 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 Gorgoń

   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 Gorgoń

   In , 2017

   DOI
3. Hardwares̄oftware abandoned object detection vision system in heterogeneous Zynq device

   Tomasz Kryjak, Artur Skirzyński, and Marek Gorgoń

   In , 2017

   DOI
4. Object tracking using a moving camera based on object detection and connected component labelling implemented in Zynq SoC

   Marcin Kowalczyk, Piotr Ciarach, and Tomasz Kryjak

   Zeszyty Studenckiego Towarzystwa Naukowego, 2017
5. Object tracking with the use of a moving camera implemented in heterogeneous Zynq SoC – a demo

   Marcin Kowalczyk, Tomasz Kryjak, and Marek Gorgoń

   In , 2017
6. Object tracking with the use of a moving camera implemented in heterogeneous Zynq System on Chip

   Marcin Kowalczyk and Tomasz Kryjak

   In , 2017

   DOI

2016

1. A compact deep convolutional neural network architecture for video based age and gender estimation

   Bartłomiej Hebda and Tomasz Kryjak

   In , 2016

   DOI
2. An efficient hardware architecture for block based image processing algorithms

   Tomasz Kryjak, Marek Gorgoń, and Mateusz Komorkiewicz

   In , 2016

   DOI
3. An embedded visionb̄ased tracking system for autonomous robot navigation

   Krzysztof Mazur and Tomasz Kryjak

   Measurement Automation and Monitoring, 2016
4. Demo: FPGA implementation of the flux tensor moving object detection method

   Piotr Janus, Kamil Piszczek, Tomasz Kryjak, and 1 more author

   In , 2016
5. Demo: an embedded vision system supporting the home care for convalescent or elderly people

   Piotr Konopka, Tomasz Jonak, Tomasz Kryjak, and 1 more author

   In , 2016
6. Demo: autonomous vehicle model with visionb̄ased tracking system

   Krzysztof Mazur, Tomasz Kryjak, and Marek Gorgoń

   In , 2016
7. FPGA implementation of multis̄cale face detection using HOG features and SVM classifier

   Michał Drożdż and Tomasz Kryjak

   Image Processing & Communications, 2016
8. FPGA implementation of multis̄cale pedestrian detection in thermal images

   Tomasz Kańka, Tomasz Kryjak, and Marek Gorgoń

   Image Processing & Communications, 2016
9. FPGA implementation of the flux tensor moving object detection method

   Piotr Janus, Kamil Piszczek, and Tomasz Kryjak

   In , 2016

   DOI
10. FPGAb̄ased hardwareīnt̄hel̄oop environment using video injection concept for camerab̄ased systems in automotive applications

    Mateusz Komorkiewicz, Paweł Skruch, Tomasz Kryjak, and 2 more authors

    In , 2016
11. Using scanpath analysis for affects detection in computer users

    Piotr Augustyniak, Mirosław Jabłoński, Eliasz Kańtoch, and 4 more authors

    In , 2016

2015

1. Age, race and gender estimation based on facial images

   Bartłomiej Hebda and Tomasz Kryjak

   Zeszyty Studenckiego Towarzystwa Naukowego, 2015
2. FPGA based system for realt̄ime structure from motion computation

   Mateusz Komorkiewicz, Tomasz Kryjak, Katarzyna Chuchacz-Kowalczyk, and 2 more authors

   In , 2015
3. Realt̄ime implementation of background modelling algorithms in FPGA devices

   Tomasz Kryjak and Marek Gorgoń

   In , 2015

   DOI
4. Segmentation of dishes for customer service automation in a selfs̄ervice canteen

   Tomasz Kryjak, Damian Król, and Marek Gorgoń

   Image Processing & Communications, 2015

   DOI
5. Segmentation of dishes for the purposes of customer service process automation in a selfs̄ervice canteen

   Tomasz Kryjak, Damian Król, and Marek Gorgoń

   In , 2015
6. Shape and colour recognition of dishes for the purpose of customer service process automation in a selfs̄ervice canteen

   Tomasz Kryjak and Damian Król

   In , 2015

   DOI

2014

1. Efficient hardware implementation of the HornS̄chunck algorithm for highr̄esolution realt̄ime dense optical flow sensor

   Mateusz Komorkiewicz, Tomasz Kryjak, and Marek Gorgoń

   Sensors, 2014

   DOI
2. Foreground object segmentation in dynamic background scenarios

   Tomasz Kryjak

   Image Processing & Communications, 2014

   DOI
3. Hardwares̄oftware implemantation of vehicle detection and counting using virtual detection lines

   Tomasz Kryjak, Mateusz Komorkiewicz, and Marek Gorgoń

   In , 2014

   DOI
4. Implementacja zaawansowanych algorytmów przetwarzania i analizy obrazów oraz szyfrowania w układach reprogramowalnych

   Tomasz Kryjak

   2014
5. Implementacja zaawansowanych algorytmów przetwarzania i analizy obrazów oraz szyfrowania w układach reprogramowalnych [Dokument elektroniczny]

   Tomasz Kryjak

   2014
6. Implementation of advanced foreground segmentation algorithms GMM, ViBE and PBAS in FPGA and GPU – a comparison

   Bartłomiej Bułat, Tomasz Kryjak, and Marek Gorgoń

   In , 2014

   DOI
7. Realt̄ime background generation and foreground object segmentation for highd̄efinition colour video stream in FPGA device

   Tomasz Kryjak, Mateusz Komorkiewicz, and Marek Gorgoń

   Journal of Real-Time Image Processing, 2014

   DOI
8. Realt̄ime foreground object detection combining the PBAS background modelling algorithm and feedback from scene analysis module

   Tomasz Kryjak, Mateusz Komorkiewicz, and Marek Gorgoń

   International Journal of Electronics and Telecommunications, 2014

   DOI

1967

1. Vision

   

   Letters on wave mechanics

   Albert Einstein, Erwin Schrödinger, Max Planck, and 2 more authors

   1967

   Bib

   @book{przibram1967letters,
     title = {Letters on wave mechanics},
     author = {Einstein, Albert and Schr\"{o}dinger, Erwin and Planck, Max and Lorentz, Hendrik Antoon and Przibram, Karl},
     year = {1967},
     publisher = {Vision},
   }

1956

1. 

   Investigations on the Theory of the Brownian Movement

   Albert Einstein

   1956

   Bib

   @book{einstein1956investigations,
     title = {Investigations on the Theory of the Brownian Movement},
     author = {Einstein, Albert},
     year = {1956},
     publisher = {Courier Corporation},
   }

1950

1. AJP

   The meaning of relativity

   Albert Einstein and AH Taub

   American Journal of Physics, 1950

   Bib

   @article{einstein1950meaning,
     title = {The meaning of relativity},
     author = {Einstein, Albert and Taub, AH},
     year = {1950},
     journal = {American Journal of Physics},
     publisher = {American Association of Physics Teachers},
     volume = {18},
     number = {6},
     pages = {403--404},
   }

1935

1. PhysRev

   Can Quantum-Mechanical Description of Physical Reality Be Considered Complete?

   A. Einstein\textasteriskcentered\textdagger, B. Podolsky\textasteriskcentered, and N. Rosen\textasteriskcentered

   Phys. Rev., New Jersey. \textasteriskcenteredMore Information\textasteriskcentered can be found here , May 1935

   Abs DOI HTML PDF Video

   

   In a complete theory there is an element corresponding to each element of reality. A sufficient condition for the reality of a physical quantity is the possibility of predicting it with certainty, without disturbing the system. In quantum mechanics in the case of two physical quantities described by non-commuting operators, the knowledge of one precludes the knowledge of the other. Then either (1) the description of reality given by the wave function in quantum mechanics is not complete or (2) these two quantities cannot have simultaneous reality. Consideration of the problem of making predictions concerning a system on the basis of measurements made on another system that had previously interacted with it leads to the result that if (1) is false then (2) is also false. One is thus led to conclude that the description of reality as given by a wave function is not complete.

1920

1. Relativity: the Special and General Theory

   Albert Einstein

   May 1920

   HTML

1905

1. Über die von der molekularkinetischen Theorie der Wärme geforderte Bewegung von in ruhenden Flüssigkeiten suspendierten Teilchen

   A. Einstein

   Annalen der physik, May 1905
2. Ann. Phys.

   Un the movement of small particles suspended in statiunary liquids required by the molecular-kinetic theory 0f heat

   A. Einstein

   Ann. Phys., May 1905
3. On the electrodynamics of moving bodies

   A. Einstein

   May 1905
4. Ann. Phys.

   Über einen die Erzeugung und Verwandlung des Lichtes betreffenden heuristischen Gesichtspunkt

   Albert Einstein

   Ann. Phys., May 1905

   Nobel Prize Abs DOI Bib

   Albert Einstein receveid the \textasteriskcentered\textasteriskcenteredNobel Prize in Physics\textasteriskcentered\textasteriskcentered 1921 \textasteriskcenteredfor his services to Theoretical Physics, and especially for his discovery of the law of the photoelectric effect\textasteriskcentered

   This is the abstract text.

   @article{einstein1905photoelectriceffect,
     title = {{{\"U}ber einen die Erzeugung und Verwandlung des Lichtes betreffenden heuristischen Gesichtspunkt}},
     author = {Einstein, Albert},
     year = {1905},
     journal = {Ann. Phys.},
     volume = {322},
     number = {6},
     pages = {132--148},
     doi = {10.1002/andp.19053220607},
   }