| Muad: Multiple uncertainties for autonomous driving, a benchmark for multiple uncertainty types and tasks G Franchi, X Yu, A Bursuc, A Tena, R Kazmierczak, S Dubuisson, E Aldea, ... arXiv preprint arXiv:2203.01437, 2022 | 32 | 2022 |
| A study of deep perceptual metrics for image quality assessment R Kazmierczak, G Franchi, N Belkhir, A Manzanera, D Filliat arXiv preprint arXiv:2202.08692, 2022 | 8 | 2022 |
| CLIP-QDA: An explainable concept bottleneck model R Kazmierczak, E Berthier, G Frehse, G Franchi arXiv preprint arXiv:2312.00110, 2023 | 7 | 2023 |
| Benchmarking XAI Explanations with Human-Aligned Evaluations R Kazmierczak, S Azzolin, E Berthier, A Hedström, P Delhomme, ... arXiv preprint arXiv:2411.02470, 2024 | 2 | 2024 |
| Learning to generate training datasets for robust semantic segmentation M Hariat, O Laurent, R Kazmierczak, S Zhang, A Bursuc, A Yao, G Franchi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
| Explainability for Vision Foundation Models: A Survey R Kazmierczak, E Berthier, G Frehse, G Franchi arXiv preprint arXiv:2501.12203, 2025 | | 2025 |
| Learning to generate training datasets for robust semantic segmentation Supplementary material M Hariat, O Laurent, R Kazmierczak, S Zhang, A Bursuc, A Yao, G Franchi | | |
| Explainable Artificial Intelligence (XAI) R Kazmierczak | | |