47 citations · 55 across the 7 of their papers we have counts for
4 papers · 1 filter
Embedded event based object detection with spiking neural network
Jonathan Courtois, Pierre-Emmanuel Novac, Edgar Lemaire +2
The complexity of event-based object detection (OD) poses considerable challenges. Spiking Neural Networks (SNNs) show promising results and pave the way for efficient event-based…
Neural information coding for efficient spike-based image denoising
Andrea Castagnetti, Alain Pegatoquet, Benoît Miramond
In recent years, Deep Convolutional Neural Networks (DCNNs) have outreached the performance of classical algorithms for image restoration tasks. However most of these methods are n…
Object Detection with Spiking Neural Networks on Automotive Event Data
Loïc Cordone, Benoît Miramond, Philippe Thierion
Automotive embedded algorithms have very high constraints in terms of latency, accuracy and power consumption. In this work, we propose to train spiking neural networks (SNNs) dire…
Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks
Loïc Cordone, Benoît Miramond, Sonia Ferrante
Convolutional neural networks (CNNs) are now the de facto solution for computer vision problems thanks to their impressive results and ease of learning. These networks are composed…