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