no code implementations • 20 Apr 2023 • Sami Barchid, Benjamin Allaert, Amel Aissaoui, José Mennesson, Chaabane Djéraba
Facial Expression Recognition (FER) is an active research domain that has shown great progress recently, notably thanks to the use of large deep learning models.
no code implementations • 13 Jun 2022 • Sami Barchid, José Mennesson, Jason Eshraghian, Chaabane Djéraba, Mohammed Bennamoun
Spiking neural networks have shown much promise as an energy-efficient alternative to artificial neural networks.
no code implementations • 28 Feb 2022 • Sami Barchid, José Mennesson, Chaabane Djéraba
This paper presents "Bina-Rep", a simple representation method that converts asynchronous streams of events from event cameras to a sequence of sparse and expressive event frames.
no code implementations • 25 May 2021 • Sami Barchid, José Mennesson, Chaabane Djéraba
Many research works focus on leveraging the complementary geometric information of indoor depth sensors in vision tasks performed by deep convolutional neural networks, notably semantic segmentation.
no code implementations • 12 May 2021 • Sami Barchid, José Mennesson, Chaabane Djéraba
It remains hard to deal with more complex tasks (e. g. segmentation, object detection) due to the small number of works on deep spiking neural networks for these tasks.