Pipeline implementation of the 128-bit block cipher CLEFIA in FPGA. - Tomasz Kryjak; Marek Gorgon (FPL, 2009)

Parallel implementation of local thresholding in Mitrion-C. - Tomasz Kryjak; Marek Gorgon (Int. J. Appl. Math. Comput. Sci., 2010)

Real-time moving object detection for video surveillance system in FPGA. - Tomasz Kryjak; Mateusz Komorkiewicz; Marek Gorgon (DASIP, 2011)

Real-Time Implementation of Moving Object Detection in Video Surveillance Systems using FPGA. - Tomasz Kryjak; Marek Gorgon (Comput. Sci., 2011)

Effectiveness analysis of selected attention models. - Malgorzata Wlodarczyk; Tomasz Kryjak; Piotr Wolski (Bio Algorithms Med Syst., 2011)

FPGA implementation of camera tamper detection in real-time. - Tomasz Kryjak; Mateusz Komorkiewicz; Marek Gorgon (DASIP, 2012)

FPGA implementation of real-time head-shoulder detection using local binary patterns, SVM and foreground object detection. - Tomasz Kryjak; Mateusz Komorkiewicz; Marek Gorgon (DASIP, 2012)

Is FPGA a suitable platform for advanced video surveillance systems? - Tomasz Kryjak; Mateusz Komorkiewicz; Marek Gorgon (DASIP, 2012)

Pipeline Implementation of Peer Group Filtering in FPGA. - Tomasz Kryjak; Marek Gorgon (Comput. Informatics, 2012)

Real-time Implementation of the ViBe Foreground Object Segmentation Algorithm. - Tomasz Kryjak; Marek Gorgon (FedCSIS, 2013)

Hardware implementation of the PBAS foreground detection method in FPGA. - Tomasz Kryjak; Mateusz Komorkiewicz; Marek Gorgon (MIXDES, 2013)

Hardware-software implementation of vehicle detection and counting using virtual detection lines. - Tomasz Kryjak; Mateusz Komorkiewicz; Marek Gorgon (DASIP, 2014)

Demo night. - Tomasz Kryjak; Jorge Portilla (DASIP, 2014)

Implementation of Advanced Foreground Segmentation Algorithms GMM, ViBE and PBAS in FPGA and GPU - A Comparison. - Bartlomiej Bulat; Tomasz Kryjak; Marek Gorgon (ICCVG, 2014)

Real-time implementation of foreground object detection from a moving camera using the ViBe algorithm. - Tomasz Kryjak; Mateusz Komorkiewicz; Marek Gorgon (Comput. Sci. Inf. Syst., 2014)

Real-time background generation and foreground object segmentation for high-definition colour video stream in FPGA device. - Tomasz Kryjak; Mateusz Komorkiewicz; Marek Gorgon (J. Real Time Image Process., 2014)

Efficient Hardware Implementation of the Horn-Schunck Algorithm for High-Resolution Real-Time Dense Optical Flow Sensor. - Mateusz Komorkiewicz; Tomasz Kryjak; Marek Gorgon (Sensors, 2014)

FPGA based system for real-time structure from motion computation. - Mateusz Komorkiewicz; Tomasz Kryjak; Katarzyna Chuchacz-Kowalczyk; Pawel Skruch; Marek Gorgon (DASIP, 2015)

Shape and colour recognition of dishes for the purpose of customer service process automation in a self-service canteen. - Tomasz Kryjak; Damian Krol (FedCSIS, 2015)

Real-Time Implementation of Background Modelling Algorithms in FPGA Devices. - Tomasz Kryjak; Marek Gorgon (ICIAP Workshops, 2015)

Using Scanpath Analysis for Affects Detection in Computer Users. - Piotr Augustyniak; Miroslaw Jablonski; Eliasz Kantoch; Tomasz Kryjak; Zbigniew Mikrut; Elzbieta Pociask; Jaromir Przybylo (AfCAI, 2016)

An Efficient Hardware Architecture for Block Based Image Processing Algorithms. - Tomasz Kryjak; Marek Gorgon; Mateusz Komorkiewicz (ARC, 2016)

FPGA-based Hardware-in-the-Loop environment using video injection concept for camera-based systems in automotive applications. - Mateusz Komorkiewicz; Krzysztof Turek; Pawel Skruch; Tomasz Kryjak; Marek Gorgon (DASIP, 2016)

Special session 1 automotive parallel computing challenges - architectures, applications and tricks. - Walter Stechele; Tomasz Kryjak; Lionel Lacassagne; Dominique Houzet; Martin Danek (DASIP, 2016)

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

FPGA Implementation of the Flux Tensor Moving Object Detection Method. - Piotr Janus; Kamil Piszczek; Tomasz Kryjak (ICCVG, 2016)

Object tracking with the use of a moving camera implemented in heterogeneous zynq SoC - A demo. - Marcin Kowalczyk; Tomasz Kryjak; Marek Gorgon (DASIP, 2017)

Hardware-software abandoned object detection vision system in heterogeneous zynq device. - Tomasz Kryjak; Artur Skirzynski; Marek Gorgon (DASIP, 2017)

Object Tracking With the Use of a Moving Camera Implemented in Heterogeneous Zynq System on Chip. - Marcin Kowalczyk; Tomasz Kryjak (KKA, 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 Gorgon (SPA, 2017)

The Use of HACP+SBT Lossless Compression in Optimizing Memory Bandwidth Requirement for Hardware Implementation of Background Modelling Algorithms. - Kamil Piszczek; Piotr Janus; Tomasz Kryjak (ARC, 2018)

Real-Time Implementation of Contextual Image Processing Operations for 4K Video Stream in Zynq UltraScale+ MPSoC. - Marcin Kowalczyk; Dominika Przewlocka; Tomasz Kryjak (DASIP, 2018)

Hardware-Software Implementation of a SFM Module for Navigation an Unmanned Aerial Vehicles-A Demo. - Karol Radwan; Tomasz Kryjak; Marek Gorgon (DASIP, 2018)

Embedded Vision System for Automated Drone Landing Site Detection. - Patryk Fraczek; André Mora; Tomasz Kryjak (ICCVG, 2018)

Hardware implementation of the Gaussian Mixture Model foreground object segmentation algorithm working with ultra-high resolution video stream in real-time. - Piotr Janus; Tomasz Kryjak (SPA, 2018)

Real-time hardware-software embedded vision system for ITS smart camera implemented in Zynq SoC. - Tomasz Kryjak; Mateusz Komorkiewicz; Marek Gorgon (J. Real Time Image Process., 2018)

Real-Time FPGA Implementation of Connected Component Labelling for a 4K Video Stream. - Piotr Ciarach; Marcin Kowalczyk; Dominika Przewlocka; Tomasz Kryjak (ARC, 2019)

Real-Time Implementation of Adaptive Correlation Filter Tracking for 4K Video Stream in Zynq UltraScale+ MPSoC. - Marcin Kowalczyk; Dominika Przewlocka; Tomasz Kryjak (DASIP, 2019)

A Vision Based Hardware-Software Real-Time Control System for the Autonomous Landing of an UAV. - Krzysztof Blachut; Hubert Szolc; Mateusz Wasala; Tomasz Kryjak; Marek Gorgon (ICCVG, 2020)

Optimisation of a Siamese Neural Network for Real-Time Energy Efficient Object Tracking. - Dominika Przewlocka; Mateusz Wasala; Hubert Szolc; Krzysztof Blachut; Tomasz Kryjak (ICCVG, 2020)

Foreground Object Segmentation in RGB-D Data Implemented on GPU. - Piotr Janus; Tomasz Kryjak; Marek Gorgon (KKA, 2020)

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

Exploration of Hardware Acceleration Methods for an XNOR Traffic Signs Classifier. - Dominika Przewlocka-Rus; Marcin Kowalczyk; Tomasz Kryjak (CORES/IP&C/ACS, 2021)

Automotive perception system evaluation with reference data obtained by a UAV. - Krzysztof Blachut; Michal Danilowicz; Hubert Szolc; Mateusz Wasala; Tomasz Kryjak; Nikodem Pankiewicz; Mateusz Komorkiewicz (DASIP, 2021)

Hardware-software implementation of the PointPillars network for 3D object detection in point clouds. - Joanna Stanisz; Konrad Lis; Tomasz Kryjak; Marek Gorgon (DASIP, 2021)

A Connected Component Labelling algorithm for a multi-pixel per clock cycle video stream. - Marcin Kowalczyk; Tomasz Kryjak (DSD, 2021)

A comparison of real-time 4K/UltraHD connected component labelling architectures. - Marcin Kowalczyk; Tomasz Kryjak (FPL, 2021)

Quantised Siamese Tracker for 4K/UltraHD Video Stream - a demo. - Dominika Przewlocka-Rus; Tomasz Kryjak (FPL, 2021)

Hardware-software implementation of a DNN for 3D object detection using FINN - a demo. - Joanna Stanisz; Konrad Lis; Tomasz Kryjak; Marek Gorgon (FPL, 2021)

A simple vision-based navigation and control strategy for autonomous drone racing. - Artur Cyba; Hubert Szolc; Tomasz Kryjak (MMAR, 2021)

Training dataset generation for bridge game registration. - Piotr Wzorek; Tomasz Kryjak (CoRR, 2021)

Real-Time FPGA Implementation of Parallel Connected Component Labelling for a 4K Video Stream. - Marcin Kowalczyk; Piotr Ciarach; Dominika Przewlocka-Rus; Hubert Szolc; Tomasz Kryjak (J. Signal Process. Syst., 2021)

Real-Time Embedded Object Tracking with Discriminative Correlation Filters Using Convolutional Features. - Michal Danilowicz; Tomasz Kryjak (ARC, 2022)

Towards Real-Time and Energy Efficient Siamese Tracking - A Hardware-Software Approach. - Dominika Przewlocka-Rus; Tomasz Kryjak (DASIP, 2022)

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

Traffic Sign Classification Using Deep and Quantum Neural Networks. - Sylwia Kuros; Tomasz Kryjak (ICCVG, 2022)

PointPillars Backbone Type Selection for Fast and Accurate LiDAR Object Detection. - Konrad Lis; Tomasz Kryjak (ICCVG, 2022)

Energy Efficient Hardware Acceleration of Neural Networks with Power-of-Two Quantisation. - Dominika Przewlocka-Rus; Tomasz Kryjak (ICCVG, 2022)

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

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

Traffic Sign Detection With Event Cameras and DCNN. - Piotr Wzorek; Tomasz Kryjak (SPA, 2022)

The bioinspired traffic sign classifier. - Dominika Przewlocka-Rus; Tomasz Kryjak (Bio Algorithms Med Syst., 2022)

Fast-moving object counting with an event camera. - Kamil Bialik; Marcin Kowalczyk; Krzysztof Blachut; Tomasz Kryjak (CoRR, 2022)

Traffic sign detection and recognition using event camera image reconstruction. - Kamil Jeziorek; Tomasz Kryjak (CoRR, 2022)

Real-Time Efficient FPGA Implementation of the Multi-Scale Lucas-Kanade and Horn-Schunck Optical Flow Algorithms for a 4K Video Stream. - Krzysztof Blachut; Tomasz Kryjak (Sensors, 2022)

Automotive Perception System Evaluation with Reference Data from a UAV's Camera Using ArUco Markers and DCNN. - Krzysztof Blachut; Michal Danilowicz; Hubert Szolc; Mateusz Wasala; Tomasz Kryjak; Mateusz Komorkiewicz (J. Signal Process. Syst., 2022)

Guest Editorial: Special Issue on Design and Architectures for Signal and Image Processing 2021. - Tomasz Kryjak; Andréa Pinna 001 (J. Signal Process. Syst., 2022)

Implementation of a Perception System for Autonomous Vehicles Using a Detection-Segmentation Network in SoC FPGA. - Maciej Baczmanski; Mateusz Wasala; Tomasz Kryjak (ARC, 2023)

Interpolation-Based Event Visual Data Filtering Algorithms. - Marcin Kowalczyk; Tomasz Kryjak (CVPR Workshops, 2023)

Real-Time FPGA Implementation of the Semi-global Matching Stereo Vision Algorithm for a 4K/UHD Video Stream. - Mariusz Grabowski; Tomasz Kryjak (DASIP, 2023)

Power-of- Two Quantized YOLO Network for Pedestrian Detection with Dynamic Vision Sensor. - Dominika Przewlocka-Rus; Tomasz Kryjak (DSD, 2023)

Detection-segmentation convolutional neural network for autonomous vehicle perception. - Maciej Baczmanski; Robert Synoczek; Mateusz Wasala; Tomasz Kryjak (MMAR, 2023)

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

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

Memory-Efficient Graph Convolutional Networks for Object Classification and Detection with Event Cameras. - Kamil Jeziorek; Andréa Pinna 001; Tomasz Kryjak (SPA, 2023)

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

LiDAR-based drone navigation with reinforcement learning. - Pawel Miera; Hubert Szolc; Tomasz Kryjak (CoRR, 2023)

Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-Based Vision. - Kamil Jeziorek; Piotr Wzorek; Krzysztof Blachut; Andréa Pinna 001; Tomasz Kryjak (DASIP, 2024)

Event-Based Vision on FPGAs - a Survey. - Tomasz Kryjak (DSD, 2024)

PowerYOLO: Mixed Precision Model for Hardware Efficient Object Detection with Event Data. - Dominika Przewlocka-Rus; Tomasz Kryjak; Marek Gorgon (DSD, 2024)

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

Embedded Graph Convolutional Networks for Real-Time Event Data Processing on SoC FPGAs. - Kamil Jeziorek; Piotr Wzorek; Krzysztof Blachut; Andréa Pinna 001; Tomasz Kryjak (CoRR, 2024)

Increasing the scalability of graph convolution for FPGA-implemented event-based vision. - Piotr Wzorek; Kamil Jeziorek; Tomasz Kryjak; Andréa Pinna 001 (CoRR, 2024)

Utilisation of Vision Systems and Digital Twin for Maintaining Cleanliness in Public Spaces. - Mateusz Wasala; Krzysztof Blachut; Hubert Szolc; Marcin Kowalczyk; Michal Danilowicz; Tomasz Kryjak (CoRR, 2024)

Real-Time Multi-object Tracking Using YOLOv8 and SORT on a SoC FPGA. - Michal Danilowicz; Tomasz Kryjak (ARC, 2025)

Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA. - Hiroshi Nakano; Krzysztof Blachut; Kamil Jeziorek; Piotr Wzorek; Manon Dampfhoffer; Thomas Mesquida; Hiroaki Nishi; Tomasz Kryjak; Thomas Dalgaty (ARC, 2025)

Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection. - Marcin Kowalczyk; Kamil Jeziorek; Tomasz Kryjak (CVPR Workshops, 2025)

Live Demonstration: Real-time event-data processing with Graph Convolutional Neural Networks and SoC FPGA. - Piotr Wzorek; Krzysztof Blachut; Kamil Jeziorek; Tomasz Kryjak (CVPR Workshops, 2025)

LiFT: Lightweight, FPGA-Tailored 3D Object Detection Based on LiDAR Data. - Konrad Lis; Tomasz Kryjak; Marek Gorgon (DASIP, 2025)

Vision-based automatic fruit counting with UAV. - Hubert Szolc; Mateusz Wasala; Remigiusz Mietla; Kacper Iwicki; Tomasz Kryjak (CoRR, 2025)

Self-Supervised Event Representations: Towards Accurate, Real-Time Perception on SoC FPGAs. - Kamil Jeziorek; Tomasz Kryjak (CoRR, 2025)

High Throughput Event Filtering: The Interpolation-based DIF Algorithm Hardware Architecture. - Marcin Kowalczyk; Tomasz Kryjak (CoRR, 2025)

Interpolation-Based Event Visual Data Filtering Algorithms. - Marcin Kowlaczyk; Tomasz Kryjak (CoRR, 2025)

Hardware-Aware Feature Extraction Quantisation for Real-Time Visual Odometry on FPGA Platforms. - Mateusz Wasala; Mateusz Smolarczyk; Michal Danilowicz; Tomasz Kryjak (CoRR, 2025)