@inproceedings{dupas2026mefa,
  title = {MEFA-MS: attention-based U-Net for pedestrian and vehicle detection},
  author = {Dupas, Yoann and Hotel, Olivier and Lefebvre, Grégoire and Cérin, Christophe},
  year = {2026},
  booktitle = {Eighteenth International Conference on Machine Vision (ICMV 2025)},
  pages = {385--392},
  volume = {14114}
}

@phdthesis{dupas2026approches,
  title = {Approches avancées de fusion précoce d’images multimodales pour la détection de piétons et de véhicules},
  author = {Dupas, Yoann},
  year = {2026},
  school = {Université Grenoble Alpes},
  url = {https://theses.fr/2026GRALM001}
}

@inproceedings{berjawi2025towards,
  title = {Towards a Generalizable Fusion Architecture for Multimodal Object Detection},
  author = {Berjawi, Jad and Dupas, Yoann and Cérin, Christophe},
  year = {2025},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages = {2192--2200}
}

@inproceedings{dupas2025mefa,
  title = {Mefa: Multimodal image early fusion with attention module for pedestrian and vehicle detection},
  author = {Dupas, Yoann and Hotel, Olivier and Lefebvre, Grégoire and Cerin, Christophe},
  year = {2025},
  booktitle = {20th International Conference on Computer Vision Theory and Applications},
  pages = {610--617}
}

@inproceedings{dupas2024empreinte,
  title = {Empreinte Énergétique de YoloV8 pour la Détection de Piétons et de Véhicules},
  author = {Dupas, Yoann and Hotel, Olivier and Lefebvre, Grégoire and Cérin, Christophe},
  year = {2024},
  booktitle = {EGC 2024 — 24ème conférence francophone sur l’Extraction et la Gestion des Connaissances},
  pages = {345--346}
}