3 papers
cs.CV2025
Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection
Marcin Kowalczyk, Kamil Jeziorek, Tomasz Kryjak
Event-based sensors offer significant advantages over traditional frame-based cameras, especially in scenarios involving rapid motion or challenging lighting conditions. However, e…
cs.CV2025
Self-Supervised Event Representations: Towards Accurate, Real-Time Perception on SoC FPGAs
Kamil Jeziorek, Tomasz Kryjak
Event cameras offer significant advantages over traditional frame-based sensors. These include microsecond temporal resolution, robustness under varying lighting conditions and low…
cs.CV2024
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…