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The Signals and Images department carries out researches related to image processing, sound analysis, 3D geometry generally dealing with massive digital data. The aim is to understand their constitution, identify their content, extract their semantic and build an efficient model of these data. From such models, we may synthetize new data, extract the relevant information, or encode and transmit them.
For more information, consult the Signals and Images department presentation on the IRIT website.
Latest full text publications
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Nathanaël Munier, Emmanuel Soubies, Pierre Weiss. Algorithmes de visualisation de non-identifiabilité. XXIXème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2023), Groupe de Recherche et d'Etudes de Traitement du Signal et des Images, Aug 2023, Grenoble, France. ⟨hal-04138308v2⟩
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Charles-Gérard Lucas, Patrice Abry, Herwig Wendt, Gustavo Didier, Oliver Orejola. Bootstrap based test for the unimodality of estimated Hurst exponents. Performance assessment in a high-dimensional analysis setting. XXIXème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2023), Aug 2023, Grenoble, France. à paraître. ⟨emse-04216646⟩
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Jérémie Huteau, Adrian Basarab, Florence Dupin de Saint Cyr - Bannay. MSE * * : Multi-modal semantic embeddings for datasets with several positive matchings. Sanju Tiwari; Fernando Ortiz Rodriguez; Sarra Ben Abbes; Patience Usoro Usip; Rim Hantach. Semantic AI in Knowledge Graphs, Taylor & Francis Group, pp.91-110, 2023, 978-1003313267. ⟨10.1201/9781003313267-4⟩. ⟨hal-04166570⟩
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