no code implementations • 2 Feb 2024 • Carmen Martin-Turrero, Maxence Bouvier, Manuel Breitenstein, Pietro Zanuttigh, Vincent Parret
We propose a novel hybrid pipeline composed of asynchronous sensing and synchronous processing that combines several ideas: (1) an embedding based on PointNet models -- the ALERT module -- that can continuously integrate new and dismiss old events thanks to a leakage mechanism, (2) a flexible readout of the embedded data that allows to feed any downstream model with always up-to-date features at any sampling rate, (3) exploiting the input sparsity in a patch-based approach inspired by Vision Transformer to optimize the efficiency of the method.
Ranked #9 on Gesture Recognition on DVS128 Gesture
no code implementations • 4 May 2020 • Maxence Bouvier, Alexandre Valentian, Thomas Mesquida, François Rummens, Marina Reyboz, Elisa Vianello, Edith Beigné
Neuromorphic computing is henceforth a major research field for both academic and industrial actors.