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Université Paris Cité

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Information

📚 Organization
Université Paris Cité
👤Technical Officer
Sylvain Lobry
📆 Duration of the contract with ESA Φ-lab
July 2024 - December 2025
🌍 Project @ ESA Φ-lab
IC-EO: Interpretable Code-based assistant for Earth Observation
🌐 Project or Company Website
https://ic-eo.sylvainlobry.com/

Institution Description

The Paris Descartes Computer Science Laboratory (LIPADE) is part of the Mathematics and Computer Science Department. With over 60 members, LIPADE provides a dynamic and international research environment. It conducts theoretical and applied research in the fields of intelligent agents and multi-agent systems, machine learning, image processing and computer vision, networks, databases, and data analysis. LIPADE is part of Paris Cité University, an internationally renowned multidisciplinary university.

Technical Officer Bio

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I am Sylvain Lobry, an assistant professor (Maître de conférences) in Computer Science. I do research at the SIP team of the LIPADE laboratory and teach at UFR de Mathématiques et Informatique in Université Paris Cité. Before, I was a postdoctoral researcher at Wageningen University & Research in the Laboratory of Geo-information Science and Remote Sensing. I obtained my PhD in image processing from Télécom Paris in 2017. This work was done in collaboration with CNES and was awarded the best PhD award from Fondation Mines-Télécom.

My research interests are in the areas of methodological developments in image processing with applications in particular to remote sensing imagery. This includes high-resolution optical images processing using deep learning techniques and change detection, classification and regularization on multi-temporal series of SAR images using Markov Random Fields models. During my PhD, I was working on the SWOT mission, dedicated to the study of the world’s oceans and its terrestrial surface waters. Since 2019, I also work on the interactions between remote sensing data and natural language. In particular, we introduced the task of Visual Question Answering for Remote Sensing (RSVQA).

Project