Tomasz Kryjak

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 86

Top Venues

Publications

Tomasz Kryjak
Event-based vision on FPGAs - a survey. CoRR (2024)
Kamil Jeziorek, Piotr Wzorek, Krzysztof Blachut, Andréa Pinna, Tomasz Kryjak
Embedded Graph Convolutional Networks for Real-Time Event Data Processing on SoC FPGAs. CoRR (2024)
Kamil Jeziorek, Piotr Wzorek, Krzysztof Blachut, Andréa Pinna, Tomasz Kryjak
Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-based Vision. CoRR (2024)
Dominika Przewlocka-Rus, Tomasz Kryjak, Marek Gorgon
PowerYOLO: Mixed Precision Model for Hardware Efficient Object Detection with Event Data. CoRR (2024)
Kamil Jeziorek, Piotr Wzorek, Krzysztof Blachut, Andréa Pinna, Tomasz Kryjak
Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-Based Vision. DASIP (2024)
Krzysztof Blachut, Tomasz Kryjak
High-definition event frame generation using SoC FPGA devices. CoRR (2023)
Maciej Baczmanski, Robert Synoczek, Mateusz Wasala, Tomasz Kryjak
Detection-segmentation convolutional neural network for autonomous vehicle perception. MMAR (2023)
Krzysztof Blachut, Tomasz Kryjak
High-definition event frame generation using SoC FPGA devices. SPA (2023)
Konrad Lis, Tomasz Kryjak
Comparative study of subset selection methods for rapid prototyping of 3D object detection algorithms. MMAR (2023)
Kamil Jeziorek, Andréa Pinna, Tomasz Kryjak
Memory-Efficient Graph Convolutional Networks for Object Classification and Detection with Event Cameras. SPA (2023)
Kamil Jeziorek, Andréa Pinna, Tomasz Kryjak
Memory-Efficient Graph Convolutional Networks for Object Classification and Detection with Event Cameras. CoRR (2023)
Maciej Baczmanski, Mateusz Wasala, Tomasz Kryjak
Implementation of a perception system for autonomous vehicles using a detection-segmentation network in SoC FPGA. CoRR (2023)
Dominika Przewlocka-Rus, Tomasz Kryjak
Power-of- Two Quantized YOLO Network for Pedestrian Detection with Dynamic Vision Sensor. DSD (2023)
Piotr Wzorek, Tomasz Kryjak
Pedestrian detection with high-resolution event camera. CoRR (2023)
Konrad Lis, Tomasz Kryjak
Comparative study of subset selection methods for rapid prototyping of 3D object detection algorithms. CoRR (2023)
Maciej Baczmanski, Robert Synoczek, Mateusz Wasala, Tomasz Kryjak
Detection-segmentation convolutional neural network for autonomous vehicle perception. CoRR (2023)
Maciej Baczmanski, Mateusz Wasala, Tomasz Kryjak
Implementation of a Perception System for Autonomous Vehicles Using a Detection-Segmentation Network in SoC FPGA. ARC (2023)
Pawel Miera, Hubert Szolc, Tomasz Kryjak
LiDAR-based drone navigation with reinforcement learning. CoRR (2023)
Mariusz Grabowski, Tomasz Kryjak
Real-time FPGA implementation of the Semi-Global Matching stereo vision algorithm for a 4K/UHD video stream. CoRR (2023)
Mariusz Grabowski, Tomasz Kryjak
Real-Time FPGA Implementation of the Semi-global Matching Stereo Vision Algorithm for a 4K/UHD Video Stream. DASIP (2023)
Marcin Kowalczyk, Tomasz Kryjak
Interpolation-Based Event Visual Data Filtering Algorithms. CVPR Workshops (2023)
Krzysztof Blachut, Michal Danilowicz, Hubert Szolc, Mateusz Wasala, Tomasz Kryjak, Mateusz Komorkiewicz
Automotive Perception System Evaluation with Reference Data from a UAV's Camera Using ArUco Markers and DCNN. J. Signal Process. Syst. 94 (7) (2022)
Konrad Lis, Tomasz Kryjak
PointPillars Backbone Type Selection for Fast and Accurate LiDAR Object Detection. ICCVG (2022)
Tomasz Kryjak, Andréa Pinna
Guest Editorial: Special Issue on Design and Architectures for Signal and Image Processing 2021. J. Signal Process. Syst. 94 (7) (2022)
Mateusz Wasala, Tomasz Kryjak
Real-time HOG+SVM based object detection using SoC FPGA for a UHD video stream. MECO (2022)
Hubert Szolc, Tomasz Kryjak
Hardware-in-the-loop simulation of a UAV autonomous landing algorithm implemented in SoC FPGA. SPA (2022)
Marcin Kowalczyk, Tomasz Kryjak
Hardware architecture for high throughput event visual data filtering with matrix of IIR filters algorithm. DSD (2022)
Dominika Przewlocka-Rus, Tomasz Kryjak
Energy Efficient Hardware Acceleration of Neural Networks with Power-of-Two Quantisation. ICCVG (2022)
Michal Danilowicz, Tomasz Kryjak
Real-Time Embedded Object Tracking with Discriminative Correlation Filters Using Convolutional Features. ARC (2022)
Marcin Kowalczyk, Tomasz Kryjak
Hardware architecture for high throughput event visual data filtering with matrix of IIR filters algorithm. CoRR (2022)
Sylwia Kuros, Tomasz Kryjak
Traffic Sign Classification Using Deep and Quantum Neural Networks. ICCVG (2022)
Kamil Jeziorek, Tomasz Kryjak
Traffic sign detection and recognition using event camera image reconstruction. CoRR (2022)
Piotr Wzorek, Tomasz Kryjak
Traffic Sign Detection With Event Cameras and DCNN. CoRR (2022)
Dominika Przewlocka-Rus, Tomasz Kryjak
Towards Real-Time and Energy Efficient Siamese Tracking - A Hardware-Software Approach. DASIP (2022)
Dominika Przewlocka-Rus, Tomasz Kryjak
Towards real-time and energy efficient Siamese tracking - a hardware-software approach. CoRR (2022)
Mateusz Wasala, Tomasz Kryjak
Real-time HOG+SVM based object detection using SoC FPGA for a UHD video stream. CoRR (2022)
Dominika Przewlocka-Rus, Tomasz Kryjak
The bioinspired traffic sign classifier. Bio Algorithms Med Syst. 18 (1) (2022)
Kamil Bialik, Marcin Kowalczyk, Krzysztof Blachut, Tomasz Kryjak
Fast-moving object counting with an event camera. CoRR (2022)
Konrad Lis, Tomasz Kryjak
PointPillars Backbone Type Selection For Fast and Accurate LiDAR Object Detection. CoRR (2022)
Dominika Przewlocka-Rus, Tomasz Kryjak
Energy Efficient Hardware Acceleration of Neural Networks with Power-of-Two Quantisation. CoRR (2022)
Piotr Wzorek, Tomasz Kryjak
Traffic Sign Detection With Event Cameras and DCNN. SPA (2022)
Hubert Szolc, Tomasz Kryjak
Hardware-in-the-loop simulation of a UAV autonomous landing algorithm implemented in SoC FPGA. CoRR (2022)
Krzysztof Blachut, Tomasz Kryjak
Real-Time Efficient FPGA Implementation of the Multi-Scale Lucas-Kanade and Horn-Schunck Optical Flow Algorithms for a 4K Video Stream. Sensors 22 (13) (2022)
Sylwia Kuros, Tomasz Kryjak
Traffic Sign Classification Using Deep and Quantum Neural Networks. CoRR (2022)
Dominika Przewlocka-Rus, Marcin Kowalczyk, Tomasz Kryjak
Exploration of Hardware Acceleration Methods for an XNOR Traffic Signs Classifier. CoRR (2021)
Marcin Kowalczyk, Tomasz Kryjak
A Connected Component Labelling algorithm for multi-pixel per clock cycle video stream. CoRR (2021)
Artur Cyba, Hubert Szolc, Tomasz Kryjak
A simple vision-based navigation and control strategy for autonomous drone racing. CoRR (2021)
Piotr Wzorek, Tomasz Kryjak
Training dataset generation for bridge game registration. CoRR (2021)
Marcin Kowalczyk, Tomasz Kryjak
A Connected Component Labelling algorithm for a multi-pixel per clock cycle video stream. DSD (2021)
Artur Cyba, Hubert Szolc, Tomasz Kryjak
A simple vision-based navigation and control strategy for autonomous drone racing. MMAR (2021)
Joanna Stanisz, Konrad Lis, Tomasz Kryjak, Marek Gorgon
Hardware-software implementation of the PointPillars network for 3D object detection in point clouds. DASIP (2021)
Dominika Przewlocka-Rus, Tomasz Kryjak
Quantised Siamese Tracker for 4K/UltraHD Video Stream - a demo. FPL (2021)
Marcin Kowalczyk, Piotr Ciarach, Dominika Przewlocka-Rus, Hubert Szolc, Tomasz Kryjak
Real-Time FPGA Implementation of Parallel Connected Component Labelling for a 4K Video Stream. J. Signal Process. Syst. 93 (5) (2021)
Krzysztof Blachut, Michal Danilowicz, Hubert Szolc, Mateusz Wasala, Tomasz Kryjak, Nikodem Pankiewicz, Mateusz Komorkiewicz
Automotive perception system evaluation with reference data obtained by a UAV. DASIP (2021)
Marcin Kowalczyk, Tomasz Kryjak
A comparison of real-time 4K/UltraHD connected component labelling architectures. FPL (2021)
Joanna Stanisz, Konrad Lis, Tomasz Kryjak, Marek Gorgon
Hardware-software implementation of a DNN for 3D object detection using FINN - a demo. FPL (2021)
Dominika Przewlocka-Rus, Marcin Kowalczyk, Tomasz Kryjak
Exploration of Hardware Acceleration Methods for an XNOR Traffic Signs Classifier. CORES/IP&C/ACS (2021)
Piotr Janus, Tomasz Kryjak, Marek Gorgon
Foreground Object Segmentation in RGB-D Data Implemented on GPU. KKA (2020)
Piotr Janus, Tomasz Kryjak, Marek Gorgon
Foreground object segmentation in RGB-D data implemented on GPU. CoRR (2020)
Krzysztof Blachut, Hubert Szolc, Mateusz Wasala, Tomasz Kryjak, Marek Gorgon
A Vision Based Hardware-Software Real-Time Control System for the Autonomous Landing of an UAV. ICCVG (2020)
Joanna Stanisz, Konrad Lis, Tomasz Kryjak, Marek Gorgon
Optimisation of the PointPillars network for 3D object detection in point clouds. CoRR (2020)
Joanna Stanisz, Konrad Lis, Tomasz Kryjak, Marek Gorgon
Optimisation of the PointPillars network for 3D object detection in point clouds. SPA (2020)
Krzysztof Blachut, Hubert Szolc, Mateusz Wasala, Tomasz Kryjak, Marek Gorgon
Vision based hardware-software real-time control system for autonomous landing of an UAV. CoRR (2020)
Dominika Przewlocka, Mateusz Wasala, Hubert Szolc, Krzysztof Blachut, Tomasz Kryjak
Optimisation of a Siamese Neural Network for Real-Time Energy Efficient Object Tracking. ICCVG (2020)
Dominika Przewlocka, Mateusz Wasala, Hubert Szolc, Krzysztof Blachut, Tomasz Kryjak
Optimisation of a Siamese Neural Network for Real-Time Energy Efficient Object Tracking. CoRR (2020)
Piotr Ciarach, Marcin Kowalczyk, Dominika Przewlocka, Tomasz Kryjak
Real-Time FPGA Implementation of Connected Component Labelling for a 4K Video Stream. ARC (2019)
Marcin Kowalczyk, Dominika Przewlocka, Tomasz Kryjak
Real-Time Implementation of Adaptive Correlation Filter Tracking for 4K Video Stream in Zynq UltraScale+ MPSoC. DASIP (2019)
Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgon
Real-time hardware-software embedded vision system for ITS smart camera implemented in Zynq SoC. J. Real Time Image Process. 15 (1) (2018)
Patryk Fraczek, André Mora, Tomasz Kryjak
Embedded Vision System for Automated Drone Landing Site Detection. ICCVG (2018)
Karol Radwan, Tomasz Kryjak, Marek Gorgon
Hardware-Software Implementation of a SFM Module for Navigation an Unmanned Aerial Vehicles-A Demo. DASIP (2018)
Kamil Piszczek, Piotr Janus, Tomasz Kryjak
The Use of HACP+SBT Lossless Compression in Optimizing Memory Bandwidth Requirement for Hardware Implementation of Background Modelling Algorithms. ARC (2018)
Marcin Kowalczyk, Dominika Przewlocka, Tomasz Kryjak
Real-Time Implementation of Contextual Image Processing Operations for 4K Video Stream in Zynq UltraScale+ MPSoC. DASIP (2018)
Piotr Janus, Tomasz Kryjak
Hardware implementation of the Gaussian Mixture Model foreground object segmentation algorithm working with ultra-high resolution video stream in real-time. SPA (2018)
Bartosz Meus, Tomasz Kryjak, Marek Gorgon
Embedded vision system for pedestrian detection based on HOG+SVM and use of motion information implemented in Zynq heterogeneous device. SPA (2017)
Tomasz Kryjak, Artur Skirzynski, Marek Gorgon
Hardware-software abandoned object detection vision system in heterogeneous zynq device. DASIP (2017)
Marcin Kowalczyk, Tomasz Kryjak
Object Tracking With the Use of a Moving Camera Implemented in Heterogeneous Zynq System on Chip. KKA (2017)
Marcin Kowalczyk, Tomasz Kryjak, Marek Gorgon
Object tracking with the use of a moving camera implemented in heterogeneous zynq SoC - A demo. DASIP (2017)
Tomasz Kryjak, Marek Gorgon, Mateusz Komorkiewicz
An Efficient Hardware Architecture for Block Based Image Processing Algorithms. ARC (2016)
Walter Stechele, Tomasz Kryjak, Lionel Lacassagne, Dominique Houzet, Martin Danek
Special session 1 automotive parallel computing challenges - architectures, applications and tricks. DASIP (2016)
Piotr Janus, Kamil Piszczek, Tomasz Kryjak
FPGA Implementation of the Flux Tensor Moving Object Detection Method. ICCVG (2016)
Mateusz Komorkiewicz, Krzysztof Turek, Pawel Skruch, Tomasz Kryjak, Marek Gorgon
FPGA-based Hardware-in-the-Loop environment using video injection concept for camera-based systems in automotive applications. DASIP (2016)
Piotr Augustyniak, Miroslaw Jablonski, Eliasz Kantoch, Tomasz Kryjak, Zbigniew Mikrut, Elzbieta Pociask, Jaromir Przybylo
Using Scanpath Analysis for Affects Detection in Computer Users. AfCAI (2016)
Bartlomiej Hebda, Tomasz Kryjak
A compact deep convolutional neural network architecture for video based age and gender estimation. FedCSIS (2016)
Tomasz Kryjak, Damian Krol
Shape and colour recognition of dishes for the purpose of customer service process automation in a self-service canteen. FedCSIS (2015)
Tomasz Kryjak, Marek Gorgon
Real-Time Implementation of Background Modelling Algorithms in FPGA Devices. ICIAP Workshops (2015)
Mateusz Komorkiewicz, Tomasz Kryjak, Katarzyna Chuchacz-Kowalczyk, Pawel Skruch, Marek Gorgon
FPGA based system for real-time structure from motion computation. DASIP (2015)
Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgon
Real-time implementation of foreground object detection from a moving camera using the ViBe algorithm. Comput. Sci. Inf. Syst. 11 (4) (2014)
Tomasz Kryjak, Jorge Portilla
Demo night. DASIP (2014)
Mateusz Komorkiewicz, Tomasz Kryjak, Marek Gorgon
Efficient Hardware Implementation of the Horn-Schunck Algorithm for High-Resolution Real-Time Dense Optical Flow Sensor. Sensors 14 (2) (2014)
Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgon
Hardware-software implementation of vehicle detection and counting using virtual detection lines. DASIP (2014)
Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgon
Real-time background generation and foreground object segmentation for high-definition colour video stream in FPGA device. J. Real Time Image Process. 9 (1) (2014)
Bartlomiej Bulat, Tomasz Kryjak, Marek Gorgon
Implementation of Advanced Foreground Segmentation Algorithms GMM, ViBE and PBAS in FPGA and GPU - A Comparison. ICCVG (2014)
Tomasz Kryjak, Marek Gorgon
Real-time Implementation of the ViBe Foreground Object Segmentation Algorithm. FedCSIS (2013)
Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgon
Hardware implementation of the PBAS foreground detection method in FPGA. MIXDES (2013)
Tomasz Kryjak, Marek Gorgon
Pipeline Implementation of Peer Group Filtering in FPGA. Comput. Informatics 31 (4) (2012)
Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgon
FPGA implementation of real-time head-shoulder detection using local binary patterns, SVM and foreground object detection. DASIP (2012)
Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgon
Is FPGA a suitable platform for advanced video surveillance systems? DASIP (2012)
Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgon
FPGA implementation of camera tamper detection in real-time. DASIP (2012)
Tomasz Kryjak, Marek Gorgon
Real-Time Implementation of Moving Object Detection in Video Surveillance Systems using FPGA. Comput. Sci. 12 (2011)
Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgon
Real-time moving object detection for video surveillance system in FPGA. DASIP (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tomasz Kryjak