Ronan Sicre

Ronan Sicre is a researcher affiliated with the Texmex Project Team at IRISA/INRIA Rennes. His work focuses on mid-level feature learning and image classification, as highlighted in his 2015 seminar presentation. He has been actively involved in numerous academic events, including workshops, conferences, and thesis defenses across computer science disciplines.

His research interests emphasize discriminative mid-level features for recognition tasks, combining automatic part discovery and alignment in visual models. He has participated in events such as the 15th IAPR International Workshop on Document Analysis Systems (DAS 2022) and the CLEF-HIPE-2020 competition, demonstrating expertise in document analysis and image representation.

Ronan Sicre contributes to academic activities through participation in conferences like CICLing 2019, CORIA-RJCRI, and PFIA 2024, as well as internal seminars and open days at institutions like the University of La Rochelle. His involvement spans both technical and interdisciplinary initiatives, including projects like CircularSeas and AI4Industry.