5 papers
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.…
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…
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…
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…