Conferences

End-to-end keyword spotting on FPGA using graph neural networks with a neuromorphic auditory sensor

Wiktor Matykiewicz, Piotr Wzorek, Kamil Jeziorek, Tomás Muñoz, Antonio Rios-Navarro, Angel Jiménez-Fernández, Tomasz Kryjak

FPGA-based hardware architecture for contrast maximization in event-based vision

Michał Filipkowski, Marcin Kowalczyk, Tomasz Kryjak

Hardware-Aware Feature Extraction Quantisation for Real-Time Visual Odometry on FPGA Platforms

Mateusz Wąsala, Mateusz Smolarczyk, Michał Daniłowicz, Tomasz Kryjak

Live demonstration - Continuous processing of event-data with Graph Convolutional Neural Networks implemented for SoC FPGA

Piotr Wzorek, Kamil Jeziorek, Marcin Kowalczyk, Krzysztof Błachut, Tomasz Kryjak, Marek Gorgoń

Live demonstration - real-time event-data processing with Graph Convolutional Neural Networks and SoC FPGA

Piotr Wzorek, Krzysztof Błachut, Kamil Jeziorek, Tomasz Kryjak

Learning from noise - enhancing DNNs for event-based vision through controlled noise injection

Marcin Kowalczyk, Kamil Jeziorek, Tomasz Kryjak

Real-time multi-object tracking using YOLOv8 and SORT on a SoC FPGA

Michał Daniłowicz, Tomasz Kryjak

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

Self-supervised event representations - towards accurate, real-time perception on SoC FPGAs

Kamil Jeziorek, Tomasz Kryjak

LiFT - lightweight, FPGA-tailored 3D object detection based on LiDAR data

Konrad Lis, Tomasz Kryjak, Marek Gorgoń

Increasing the scalability of graph convolution for FPGA-implemented event-based vision

Piotr Wzorek, Kamil Jeziorek, Tomasz Kryjak, Andrea Pinna

PowerYOLO - mixed precision model for hardware efficient object detection with event data

Dominika Przewłocka-Rus, Tomasz Kryjak, Marek Gorgoń

Event-based vision on FPGAs – a survey

Tomasz Kryjak

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

Kamil Jeziorek, Piotr Wzorek, Krzysztof Błachut, Andrea Pinna, Tomasz Kryjak

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

Maciej Baczmański, Mateusz Wąsala, Tomasz Kryjak

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

Dominika Przewłocka-Rus, Tomasz Kryjak

Interpolation-based event visual data filtering algorithms

Marcin Kowalczyk, Tomasz Kryjak

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

Mariusz Grabowski, Tomasz Kryjak

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

Michał Daniłowicz, Tomasz Kryjak

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

Marcin Kowalczyk, Tomasz Kryjak

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

Dominika Przewłocka-Rus, Tomasz Kryjak

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

Mateusz Wąsala, Tomasz Kryjak

A connected component labelling algorithm for a multi-pixel per clock cycle video stream

Marcin Kowalczyk, Tomasz Kryjak

A comparison of real-time 4K/UltraHD connected component labelling architectures

Marcin Kowalczyk, Tomasz Kryjak

Hardware-software implementation of a DNN for 3D object detection using FINN - a demo

Joanna Lis, Konrad Lis, Tomasz Kryjak, Marek Gorgoń

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

Dominika Przewłocka-Rus, Tomasz Kryjak

Automotive perception system evaluation with reference data obtained by a UAV

Krzysztof Błachut, Michał Daniłowicz, Hubert Szolc, Mateusz Wąsala, Tomasz Kryjak, Nikodem Pankiewicz, Mateusz Komorkiewicz

Hardware-software implementation of the PointPillars network for 3D object detection in point clouds

Joanna Lis, Konrad Lis, Tomasz Kryjak, Marek Gorgoń

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

Karol Radwan, Tomasz Kryjak

Hardware-software implementation of car detection system based on LiDAR sensor data - a demo

Joanna Stanisz, Konrad Lis, Tomasz Kryjak, Marek Gorgoń

Real-time implementation of adaptive correlation filter tracking for 4K video stream in Zynq UltraScale+ MPSoC

Marcin Kowalczyk, Dominika Przewłocka-Rus, Tomasz Kryjak

XNOR CNNs in FPGA: real-time detection and classification of traffic signs in 4K – a demo

Dominika Przewłocka-Rus, Marcin Kowalczyk, Tomasz Kryjak

Real-time FPGA implementation of connected component labelling for a 4K video stream

Piotr Ciarach, Marcin Kowalczyk, Dominika Przewłocka-Rus, Tomasz Kryjak

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

Patryk Frączek, Andre Mora, Tomasz Kryjak

Hardware acceleration of face detection using a deep convolutional neural network – a demo

Dominika Przewłocka-Rus, Tomasz Kryjak

Hardware implementation of multi-scale Lucas-Kanade optical flow computation algorithm – a demo

Krzysztof Błachut, Tomasz Kryjak, Marek Gorgoń

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

Karol Radwan, Tomasz Kryjak, Marek Gorgoń

Real-time implementation of contextual image processing operations for 4K video stream in Zynq UltraScale+ MPSoC

Marcin Kowalczyk, Dominika Przewłocka-Rus, Tomasz Kryjak

Real-time implementation of contextual image processing operations for 4K video stream in Zynq UltraScale+ MPSoC – a demo

Marcin Kowalczyk, Dominika Przewłocka-Rus, Tomasz Kryjak

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

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, Marek Gorgoń

Hardware-software abandoned object detection vision system in heterogeneous Zynq device

Tomasz Kryjak, Artur Skirzyński, Marek Gorgoń

Object tracking with the use of a moving camera implemented in heterogeneous Zynq SoC – a demo

Marcin Kowalczyk, Tomasz Kryjak, Marek Gorgoń

Using scanpath analysis for affects detection in computer users

Piotr Augustyniak, Miroslaw Jablonski, Eliasz Kantoch, Tomasz Kryjak, Zbigniew Mikrut, Elżbieta Pociask, Jaromir Przybylo

Demo: FPGA implementation of the flux tensor moving object detection method

Piotr Janus, Kamil Piszczek, Tomasz Kryjak, Marek Gorgoń

Demo: an embedded vision system supporting the home care for convalescent or elderly people

Piotr Konopka, Tomasz Jonak, Tomasz Kryjak, Marek Gorgoń

Demo: autonomous vehicle model with vision-based tracking system

Krzysztof Mazur, Tomasz Kryjak, Marek Gorgoń

FPGA-based hardware-in-the-loop environment using video injection concept for camera-based systems in automotive applications

Mateusz Komorkiewicz, Paweł Skruch, Tomasz Kryjak, Krzysztof Turek, Marek Gorgoń

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

Bartłomiej Hebda, Tomasz Kryjak

An efficient hardware architecture for block based image processing algorithms

Tomasz Kryjak, Marek Gorgoń, Mateusz Komorkiewicz

FPGA based system for real-time structure from motion computation

Mateusz Komorkiewicz, Tomasz Kryjak, Katarzyna Chuchacz-Kowalczyk, Paweł Skruch, Marek Gorgoń

Shape and colour recognition of dishes for the purpose of customer service process automation in a self-service canteen

Tomasz Kryjak, Damian Król

Real-time implementation of background modelling algorithms in FPGA devices

Tomasz Kryjak, Marek Gorgoń

Hardware-software implemantation of vehicle detection and counting using virtual detection lines

Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgoń

Video surveillance algorithms implemented on the heterogeneous Zynq platform : [poster]

Tomasz Kryjak, Mateusz Zun, Marek Gorgoń

Real-time implementation of the ViBe foreground object segmentation algorithm

Tomasz Kryjak, Marek Gorgoń

Hardware implementation of the PBAS foreground detection method in FPGA

Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgoń

FPGA implementation of camera tamper detection in real-time

Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgoń

FPGA implementation of real-time head-shoulder detection using local binary patterns, SVM and foreground object detection

Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgoń

Is FPGA a suitable platform for advanced video surveillance systems?

Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgoń

Real-time moving object detection for video surveillance system in FPGA

Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgoń

Single low-power FPGA implementation of moving object detection

Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgoń

Pipeline implementation of the 128-bit block cipher CLEFIA in FPGA

Tomasz Kryjak, Marek Gorgoń

Towards event-based in-cabin sensing - a synchronized dual-camera dataset pipeline

Marcin Kowalczyk, Marek Długosz, Kamil Jeziorek, Mateusz Komorkiewicz, Tomasz Kryjak, Dariusz Marchewka, Marcin Szelest, Piotr Wzorek, Paweł Skruch

Hardware-aware Graph Neural Networks prunning for embedded event-based vision

Piotr Wzorek, Kamil Jeziorek, Tomasz Kryjak

A model-driven TTFS translation for ReLU neural networks

Michał Michniak, Kamil Jeziorek, Tomasz Kryjak

Embedded perception and control system for an autonomous surface vehicle using visual-LiDAR fusion and SLAM

Olivier Lichota, Mateusz Wąsala, Hubert Szolc, Tomasz Kryjak

Memory-efficient hardware implementation of Time-Ordered Recent Event (TORE) volumes

Mateusz Komorkiewicz, Piotr Wzorek, Paweł Skruch

High-performance computing for event cameras - DIF filtering and graph convolutional networks for object classification

Marcin Kowalczyk, Kamil Jeziorek, Tomasz Kryjak, Marek Gorgoń

Vision-based automatic fruit counting with UAV

Hubert Szolc, Mateusz Wąsala, Remigiusz Mietła, Kacper Iwicki, Tomasz Kryjak

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

Hubert Szolc, Karol Desnos, Tomasz Kryjak

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

Kamil Jeziorek, Andrea Pinna, Tomasz Kryjak

High-definition event frame generation using SoC FPGA devices

Krzysztof Błachut, Tomasz Kryjak

Sterowanie autonomicznym bezzałogowym statkiem powietrznym z wykorzystaniem uczenia przez wzmacnianie

Paweł Miera, Hubert Szolc, Tomasz Kryjak

Zliczanie szybkich obiektów z wykorzystaniem kamery zdarzeniowej

Kamil Bialik, Marcin Kowalczyk, Krzysztof Błachut, Tomasz Kryjak

Detection-segmentation convolutional neural network for autonomous vehicle perception

Maciej Baczmański, Robert Synoczek, Mateusz Wąsala, Tomasz Kryjak

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

Konrad Lis, Tomasz Kryjak

Traffic sign detection with event cameras and DCNN

Piotr Wzorek, Tomasz Kryjak

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

Hubert Szolc, Tomasz Kryjak

Traffic sign classification using deep and quantum neural networks

Sylwia Kuros, Tomasz Kryjak

PointPillars backbone type selection for fast and accurate LiDAR object detection

Konrad Lis, Tomasz Kryjak

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

Dominika Przewłocka-Rus, Tomasz Kryjak

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

Piotr Wzorek, Tomasz Kryjak

Accelerated training of object detection DNNs for embedded vision systems

Michał Machura, Piotr Wzorek, Tomasz Kryjak, Marek Gorgoń

Wbudowany system percepcji i sterowania dla modelu pojazdu autonomicznego

Maciej Baczmański, Balbina Molerus, Robert Synoczek, Tomasz Kryjak

A simple vision-based navigation and control strategy for autonomous drone racing

Artur Cyba, Hubert Szolc, Tomasz Kryjak

Foreground object segmentation in RGB–D data implemented on GPU

Piotr Janus, Tomasz Kryjak, Marek Gorgoń

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

Joanna Lis, Konrad Lis, Tomasz Kryjak, Marek Gorgoń

A vision based hardware-software real-time control system for the autonomous landing of an UAV

Krzysztof Błachut, Hubert Szolc, Mateusz Wąsala, Tomasz Kryjak, Marek Gorgoń

Optimisation of a Siamese neural network for real-time energy efficient object tracking

Dominika Przewłocka-Rus, Mateusz Wąsala, Hubert Szolc, Krzysztof Błachut, Tomasz Kryjak

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

Embedded vision system for automated drone landing site detection

Patryk Frączek, Andre Mora, Tomasz Kryjak

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

Object tracking with the use of a moving camera implemented in heterogeneous Zynq System on Chip

Marcin Kowalczyk, Tomasz Kryjak

FPGA implementation of the flux tensor moving object detection method

Piotr Janus, Kamil Piszczek, Tomasz Kryjak

Segmentation of dishes for the purposes of customer service process automation in a self-service canteen

Tomasz Kryjak, Damian Król, Marek Gorgoń

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

Bartłomiej Bułat, Tomasz Kryjak, Marek Gorgoń

Accelerating computing tasks in video surveillance systems using FPGA

Tomasz Kryjak, Marek Gorgoń

Pipeline implementation of peer group filtering in FPGA

Tomasz Kryjak, Marek Gorgoń

Parallel implementation of local thresholding in Mitrion-C

Tomasz Kryjak, Marek Gorgoń