activity
20182024
most citedAdvanced local motion patterns for macro and micro facial expression recognition

56 citations · 63 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2024

A survey on Graph Deep Representation Learning for Facial Expression Recognition

Théo Gueuret, Akrem Sellami, Chaabane Djeraba

This comprehensive review delves deeply into the various methodologies applied to facial expression recognition (FER) through the lens of graph representation learning (GRL). Initi…

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

Mining atmospheric data

Chaabane Djeraba, Jérôme Riedi

This paper overviews two interdependent issues important for mining remote sensing data (e.g. images) obtained from atmospheric monitoring missions. The first issue relates the bui…

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★ 7 cited

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…

cs.CV2018★ 56 cited

Advanced local motion patterns for macro and micro facial expression recognition

B. Allaert, IM. Bilasco, C. Djeraba

In this paper, we develop a new method that recognizes facial expressions, on the basis of an innovative local motion patterns feature, with three main contributions. The first one…