Krzysztof Blachut

Orcid: 0000-0002-1071-335X

According to our database1, Krzysztof Blachut authored at least 12 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Live Demonstration: Real-time event-data processing with Graph Convolutional Neural Networks and SoC FPGA.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA.
Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2025

2024
Utilisation of Vision Systems and Digital Twin for Maintaining Cleanliness in Public Spaces.
CoRR, 2024

Embedded Graph Convolutional Networks for Real-Time Event Data Processing on SoC FPGAs.
CoRR, 2024

Optimising Graph Representation for Hardware Implementation of Graph Convolutional Networks for Event-Based Vision.
Proceedings of the Design and Architectures for Signal and Image Processing, 2024

2023
High-definition event frame generation using SoC FPGA devices.
Proceedings of the Signal Processing: Algorithms, 2023

2022
Automotive Perception System Evaluation with Reference Data from a UAV's Camera Using ArUco Markers and DCNN.
J. Signal Process. Syst., 2022

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

Fast-moving object counting with an event camera.
CoRR, 2022

2021
Automotive perception system evaluation with reference data obtained by a UAV.
Proceedings of the DASIP '21: Workshop on Design and Architectures for Signal and Image Processing (14th edition), 2021

2020
Optimisation of a Siamese Neural Network for Real-Time Energy Efficient Object Tracking.
Proceedings of the Computer Vision and Graphics - International Conference, 2020

A Vision Based Hardware-Software Real-Time Control System for the Autonomous Landing of an UAV.
Proceedings of the Computer Vision and Graphics - International Conference, 2020


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