PhD students (ongoing)

Tanguy Lefort, 2021-2024, Uncertain labels, crowdsourcing and expert feedback, University of Montpellier

Cesar Leblanc, 2022-2025, species assemblages modelling using AI, Inria, University of Montpellier

Matteo Contini, 2022-2025, multi-scale mapping of changes in tropical reefs, Ifremer, University of Montpellier

Kawtar Zaher, 2022-2025, novel class retrieval in audiovisual archives with human-in-the-loop, INA, University of Montpellier

Post-Docs (ongoing)

Lukáš Picek, 2023-2025, AI-based species prediction and distribution modelling, Inria

Maxime Ryckewaert, 2024-2025, convergence of AI and Poisson process in species distribution modelling, Inria

Jules Van de Putte, 2023-2024, plant disease datasets alignment for automated plant disease diagnostic, Inria 

Former PhD students

Camille Garcin, 2020-2023, Loss functions for set-valued classification, University of Montpellier

Joaquim Estopinan, 2019-2022, A predictive approach to determining the joint conservation status of species, Inria, University of Montpellier

Benjamin Deneu, 2019-2022, Understanding Deep Species Distribution Models, Inria, INRAE, University of Montpellier

Alena Shilova, 2018-2021, Scheduling Strategies for High Performance Deep Learning, University of Montpellier

Titouan Lorieul, 2017-2020, Uncertainty issues in fine-grained image classification, University of Montpellier

Christophe Botella, 2017-2019, Species Distribution Modelling from Crowdsourced Data, University of Montpellier

Valentin Leveau, 2013-2016, Large-scale visual entities recognition, University of Montpellier

Pierre Letessier, 2011-2014, Frequent Visual Objects Mining in Large Multimedia Collections, Telecom Paris-tech

Riadh Trad, 2011-2013, Visual-based event mining in Social Media, Telecom Paris-tech

Saloua Litayem, 2009-2013, Hash-Based Support Vector Machines Approximation, Telecom Paris-tech

Amel Hamzaoui, 2010-2012, Shared-Neighbours methods for visual content structuring and mining, University of Paris-sud

Ahmed Rebai, 2009-2011, Interactive object retrieval using interpretable visual models, University of Paris-sud

Former postdocs

Sue Han Lee, New perspectives on plant disease identification with deep learning, 2018-2019

Maximilien Servajean, Crowdsourcing and cooperative learning, 2015-2016

Julien Champ, Deep learning for biodiversity informatics, 2012-2015

Vera Bakic, Image-based plant identification, 2011-2013

Laurent Joyeux, multimedia information rerieval, 2009-2012