| 2026 | ICPR | H-SPAM: Hierarchical Superpixel Anything Model. | Julien Walther, Rmi Giraud, Michal Clment |
| 2025 | WACV | Contrastive Learning of Image Representations Guided by Spatial Relations. | Logan Servant, Michal Clment, Laurent Wendling, Camille Kurtz |
| 2024 | ICPR | Deep Spherical Superpixels. | Rmi Giraud, Michal Clment |
| 2023 | CVPR | Diffusart: Enhancing Line Art Colorization with Conditional Diffusion Models. | Hernan Carrillo, Michal Clment, Aurlie Bugeau, Edgar Simo-Serra |
| 2022 | ACCV | Super-Attention for Exemplar-Based Image Colorization. | Hernan Carrillo, Michal Clment, Aurlie Bugeau |
| 2022 | MICCAI | Interpretable Differential Diagnosis for Alzheimer's Disease and Frontotemporal Dementia. | Huy-Dung Nguyen, Michal Clment, Boris Mansencal, Pierrick Coup |
| 2021 | MICCAI | Deep Grading Based on Collective Artificial Intelligence for AD Diagnosis and Prognosis. | Huy-Dung Nguyen, Michal Clment, Boris Mansencal, Pierrick Coup |
| 2019 | MICCAI | AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation. | Pierrick Coup, Boris Mansencal, Michal Clment, Rmi Giraud, Baudouin Denis de Senneville, Vinh-Thong Ta, Vincent Lepetit, Jos V. Manjn |
| 2017 | ICDAR | Local Enlacement Histograms for Historical Drop Caps Style Recognition. | Michal Clment, Mickal Coustaty, Camille Kurtz, Laurent Wendling |
| 2016 | ICPR | Bags of spatial relations and shapes features for structural object description. | Michal Clment, Camille Kurtz, Laurent Wendling |