17 citations · 146 across the 33 of their papers we have counts for
5 papers · 1 filter
Increasing the scalability of graph convolution for FPGA-implemented event-based vision
Piotr Wzorek, Kamil Jeziorek, Tomasz Kryjak +1
Event cameras are becoming increasingly popular as an alternative to traditional frame-based vision sensors, especially in mobile robotics. Taking full advantage of their high temp…
Event-based vision on FPGAs -- a survey
Tomasz Kryjak
In recent years there has been a growing interest in event cameras, i.e. vision sensors that record changes in illumination independently for each pixel. This type of operation ens…
PowerYOLO: Mixed Precision Model for Hardware Efficient Object Detection with Event Data
Dominika Przewlocka-Rus, Tomasz Kryjak, Marek Gorgon
The performance of object detection systems in automotive solutions must be as high as possible, with minimal response time and, due to the often battery-powered operation, low ene…
Embedded Graph Convolutional Networks for Real-Time Event Data Processing on SoC FPGAs
Kamil Jeziorek, Piotr Wzorek, Krzysztof Blachut +2
The utilisation of event cameras represents an important and swiftly evolving trend aimed at addressing the constraints of traditional video systems. Particularly within the automo…
Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-based Vision
Kamil Jeziorek, Piotr Wzorek, Krzysztof Blachut +2
Event-based vision is an emerging research field involving processing data generated by Dynamic Vision Sensors (neuromorphic cameras). One of the latest proposals in this area are…