EPITA will host the Humanistica 2026 conference from May 19 to 22, 2026.
Sep 25, 2025
The Fa-Sol-La project has been selected by the Conselleria de Educación, Cultura, Universidades y Empleo, Generalitat Valenciana in Spain, in the context of the "Subvenciones a grupos de investigación emergentes (GE)" call, for a duration of two years.
Jul 29, 2025
DECIDON selected by ANR in the 2025 Generic Call for Proposals (AAPG 2025).
This seminar presents recent advances in automatic media analysis for gender representation, developed within the ANR-funded Gender Equality Monitor project. It reviews methods for measuring speech time, visual presence, and thematic content by gender, and discusses the integration of these indicators into public reports, along with the challenges of going beyond binary gender categories.
Deep Learning for Breast Tomosynthesis Reconstruction and Associated Uncertainty Estimation
Speakers Arnaud Quillent
This seminar presents a deep learning-based post-processing approach to improve the quality of breast tomosynthesis reconstructions, particularly in orthogonal slices where conventional methods struggle due to limited angular coverage. It also introduces a Bayesian framework to estimate both epistemic and aleatoric uncertainties, providing more reliable and interpretable reconstructed volumes.
This seminar presents a deep learning approach for the segmentation of guidewires in 2D fluoroscopic images during ERCP procedures, addressing challenges such as limited data, poor image quality, and the absence of dedicated methods. It also explores new evaluation strategies, both from a clinical and technical perspective, to better assess and improve segmentation performance.
Apr 01, 2025
The Image Processing and Pattern Recognition group welcomes 4 new interns for the 2025 Spring semester!
Parallel construction of hierarchical representations: recent advances
Speakers Jimmy Randrianasoa • Jean Cousty • Josselin Lefèvre • Edwin Carlinet • Quentin Lebon
This half-day seminar, jointly organised by the TIRF team and the A3SI team from the LIGM laboratory presents recent advances on parallel algorithms for the construction of hierarchical reprensetations.