← Search

Thomas Mesquida

2 accepted papers

2025

Graph Neural Network Combining Event Stream and Periodic Aggregation for Low-Latency Event-based Vision

CVPR 2025highlight

Event-based cameras asynchronously detect changes in light intensity with high temporal resolution, making them a promising alternative to RGB camera for low-latency and low-power optical flow estimation. However, state-of-the-art convolutional neural network methods create frames from the event str…

Cited by 0SourcePDFScholar
2023

Leveraging Sparsity with Spiking Recurrent Neural Networks for Energy-Efficient Keyword Spotting

ICASSP 2023accepted

Bio-inspired Spiking Neural Networks (SNNs) are promising candidates to replace standard Artificial Neural Networks (ANNs) for energy-efficient keyword spotting (KWS) systems. In this work, we compare the trade-off between accuracy and energy-efficiency of a gated recurrent SNN (Spik-GRU) with a sta…

Cited by 0SourceScholar