3 papers
cs.CV2022
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.…
cs.CV2021
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…
cs.CV2021
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…