59 citations · 182 across the 13 of their papers we have counts for
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cs.LG2020
Low-activity supervised convolutional spiking neural networks applied to speech commands recognition
Thomas Pellegrini, Romain Zimmer, Timothée Masquelier
Deep Neural Networks (DNNs) are the current state-of-the-art models in many speech related tasks. There is a growing interest, though, for more biologically realistic, hardware fri…
cs.GR2020★ 59 cited
PCEDNet : A Lightweight Neural Network for Fast and Interactive Edge Detection in 3D Point Clouds
Chems-Eddine Himeur, Thibault Lejemble, Thomas Pellegrini +3
In recent years, Convolutional Neural Networks (CNN) have proven to be efficient analysis tools for processing point clouds, e.g., for reconstruction, segmentation and classificati…