Multi-modal deep learning models for ocean wind speed estimation. - Clémentin Boittiaux; Paul Nguyen Hong Duc; Nicolas Longépé; Sara Pensieri; Roberto Bozzano; Dorian Cazau (MACLEAN@PKDD/ECML, 2020)

Homography-Based Loss Function for Camera Pose Regression. - Clémentin Boittiaux; Ricard Marxer; Claire Dune; Aurélien Arnaubec; Vincent Hugel (IEEE Robotics Autom. Lett., 2022)

Visual localization for deep-sea long-term monitoring. (Localisation visuelle pour la surveillance à long terme des grands fonds). - Clémentin Boittiaux (2023)

Eiffel Tower: A deep-sea underwater dataset for long-term visual localization. - Clémentin Boittiaux; Claire Dune; Maxime Ferrera; Aurélien Arnaubec; Ricard Marxer; Marjolaine Matabos; Loïc Van Audenhaege; Vincent Hugel (Int. J. Robotics Res., 2023)

SUCRe: Leveraging Scene Structure for Underwater Color Restoration. - Clémentin Boittiaux; Ricard Marxer; Claire Dune; Aurélien Arnaubec; Maxime Ferrera; Vincent Hugel (3DV, 2024)

From 2D to 3D: AISG-SLA Visual Localization Challenge. - Jialin Gao; Bill Ong; Darld Lwi; Zhen Hao Ng; Xun Wei Yee; Mun-Thye Mak; Wee Siong Ng; See-Kiong Ng; Hui Ying Teo; Victor Khoo; Georg Bökman; Johan Edstedt; et al. (IJCAI, 2024)

NextBestPath: Efficient 3D Mapping of Unseen Environments. - Shiyao Li; Antoine Guédon; Clémentin Boittiaux; Shizhe Chen; Vincent Lepetit (ICLR, 2025)