Maxime Ferrera

According to our database, Maxime Ferrera authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Kirill Brodt, Clémentin Boittiaux, Maxime Ferrera, Stepan Konev

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

SUCRe: Leveraging Scene Structure for Underwater Color Restoration.

Clémentin Boittiaux, Ricard Marxer, Claire Dune, Aurélien Arnaubec, Maxime Ferrera, Vincent Hugel

Proceedings of the International Conference on 3D Vision, 2024

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., August, 2023

2021

OV$^{2}$SLAM: A Fully Online and Versatile Visual SLAM for Real-Time Applications.

Maxime Ferrera, Alexandre Eudes, Julien Moras, Martial Sanfourche, Guy Le Besnerais

IEEE Robotics Autom. Lett., 2021

OV²SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications.

Maxime Ferrera, Alexandre Eudes, Julien Moras, Martial Sanfourche, Guy Le Besnerais

CoRR, 2021

Hyperspectral 3D Mapping of Underwater Environments.

Maxime Ferrera, Aurélien Arnaubec, Klemen Istenic, Nuno Gracias, Touria Bajjouk

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2019

Monocular Visual-Inertial-Pressure Fusion for Underwater Localization and 3D Mapping. (Conception d'une charge utile basée vision pour la localisation autonome d'un robot sous-marin et la cartographie de précision).

Maxime Ferrera

PhD thesis, 2019

Real-Time Monocular Visual Odometry for Turbid and Dynamic Underwater Environments.

Maxime Ferrera, Julien Moras, Pauline Trouvé-Peloux, Vincent Creuze

Sensors, 2019

AQUALOC: An underwater dataset for visual-inertial-pressure localization.

Maxime Ferrera, Vincent Creuze, Julien Moras, Pauline Trouvé-Peloux

Int. J. Robotics Res., 2019

Technical Report: Co-learning of geometry and semantics for online 3D mapping.

Marcela Carvalho, Maxime Ferrera, Alexandre Boulch, Julien Moras, Bertrand Le Saux, Pauline Trouvé-Peloux

CoRR, 2019

Fast Stereo Disparity Maps Refinement By Fusion of Data-Based And Model-Based Estimations.

Maxime Ferrera, Alexandre Boulch, Julien Moras

Proceedings of the 2019 International Conference on 3D Vision, 2019

2018

The Aqualoc Dataset: Towards Real-Time Underwater Localization from a Visual-Inertial-Pressure Acquisition System.

Maxime Ferrera, Julien Moras, Pauline Trouvé-Peloux, Vincent Creuze, Denis Dégez

CoRR, 2018