7 citations · 12 across the 4 of their papers we have counts for
5 papers
Spiking-Fer: Spiking Neural Network for Facial Expression Recognition With Event Cameras
Sami Barchid, Benjamin Allaert, Amel Aissaoui +2
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. However, such appr…
Spiking Neural Networks for Frame-based and Event-based Single Object Localization
Sami Barchid, José Mennesson, Jason Eshraghian +2
Spiking neural networks have shown much promise as an energy-efficient alternative to artificial neural networks. However, understanding the impacts of sensor noises and input enco…
Bina-Rep Event Frames: a Simple and Effective Representation for Event-based cameras
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.…
Review on Indoor RGB-D Semantic Segmentation with Deep Convolutional Neural Networks
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 sem…
Deep Spiking Convolutional Neural Network for Single Object Localization Based On Deep Continuous Local Learning
Sami Barchid, José Mennesson, Chaabane Djéraba
With the advent of neuromorphic hardware, spiking neural networks can be a good energy-efficient alternative to artificial neural networks. However, the use of spiking neural netwo…