Nicholas Journet

Maître de Conférences

Université Bordeaux

Département

I&S

Équipe

Traitement et Analyse de Données

Fonction administrative

Resp. pédagogique licence pro DISN IUT Bdx 1.

Adresse E-mail

nicholas.journetlabri.fr

Bureau

269

Tel

+33 (0)5 40 00 38 24

Extrait de publications

• Korlan Rysbayeva, Romain Giot, Nicholas Journet. Graph-based Analysis of Hierarchical Embedding Generated by Deep Neural Network. 2-nd Workshop on Explainable and Ethical AI – ICPR 2022, Aug 2022, Montréal, Canada.
• Antoine Pirrone, Marie Beurton-Aimar, Nicholas Journet. Self-Supervised Deep Metric Learning for ancient papyrus fragments retrieval. International Journal on Document Analysis and Recognition, 2021.
• Viviana Beltrán, Mickaël Coustaty, Nicholas Journet, Juan Caicedo, Antoine Doucet. An extended evaluation of the impact of different modules in ST-VQA systems. ICPRAI: International Conference on Pattern Recognition and Artificial Intelligence, pp.562-574, 2020,
• Antoine Pirrone, Marie Beurton-Aimar, Nicholas Journet. Papy-S-Net : A Siamese Network to match papyrus fragments. HIP '19: Proceedings of the 5th International Workshop on Historical Document Imaging and Processing, Sep 2019, Sydney, Australia.
• Viviana Beltran, Nicholas Journet, Mickaël Coustaty, Antoine Doucet. Semantic Text Recognition via Visual Question Answering. 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW), Sep 2019, Sydney, Australia. pp.97-102,