MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks. - Gianni Franchi; Xuanlong Yu; Andrei Bursuc; Ángel Tena; Rémi Kazmierczak; Séverine Dubuisson; Emanuel Aldea; David Filliat (BMVC, 2022)

A study of deep perceptual metrics for image quality assessment. - Rémi Kazmierczak; Gianni Franchi; Nacim Belkhir; Antoine Manzanera; David Filliat (CoRR, 2022)

MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks. - Gianni Franchi; Xuanlong Yu; Andrei Bursuc; Rémi Kazmierczak; Séverine Dubuisson; Emanuel Aldea; David Filliat (CoRR, 2022)

Learning to generate training datasets for robust semantic segmentation. - Marwane Hariat; Olivier Laurent 002; Rémi Kazmierczak; Shihao Zhang; Andrei Bursuc; Angela Yao; Gianni Franchi (WACV, 2024)

Benchmarking XAI Explanations with Human-Aligned Evaluations. - Rémi Kazmierczak; Steve Azzolin; Eloïse Berthier; Anna Hedström; Patricia Delhomme; Nicolas Bousquet 001; Goran Frehse; Massimiliano Mancini; Baptiste Caramiaux; Andrea Passerini; Gianni Franchi (CoRR, 2024)

CLIP-QDA: An Explainable Concept Bottleneck Model. - Rémi Kazmierczak; Eloïse Berthier; Goran Frehse; Gianni Franchi (Trans. Mach. Learn. Res., 2024)

Explainability and vision foundation models: A survey. - Rémi Kazmierczak; Eloïse Berthier; Goran Frehse; Gianni Franchi (Inf. Fusion, 2025)

Explainability for Vision Foundation Models: A Survey. - Rémi Kazmierczak; Eloïse Berthier; Goran Frehse; Gianni Franchi (CoRR, 2025)