Clément Rambour

About me

I am an Assistant Professor in the CEDRIC laboratory, part of the Conservatoire National des Arts et Métiers (CNAM), affiliated with the Vertigo Team. My research centers around machine learning with a specific focus on image understanding and multi-modal data, including text-image and multi-sensor inputs. My work extends to the development of hybrid models, incorporating both physical and statistical aspects. Additionally, I explore techniques to enhance the robustness of machine learning models, ensuring their effectiveness in various applications.

Contact

2, rue Conté - Office 33.1.16B 75141 Paris Cedex 03, France

clement.rambour@cnam.fr

Tel.: 0140272513

News

20/03/2024

PhD defense of E. Ramzi: Robust image retrieval with deep learning! 🙌 🥳

21/12/2023

PhD defense of L. Themyr: 3D medical image segmentation! 🙌 🥳

25/04/2023

Accepted paper at ICML23 on hybrid EBM models for OOD detection

20/11/2022

Accepted internal laboratory project ORION on the design of robust models

18/09/2022

Accepted paper at WACV23 on transformers for high resolution semantic segmentation

20/09/2022

Accepted paper at MLMI22 MICCAI workshop

04/07/2022

2 accepted papers at ECCV22 !

15/12/2021

We are hiring a postdoc to work on IA and inverse Problems. The job is expected to start in spring 2022. See the job description here FILLED

05/12/2021

We are lookink for an internship to work on RL and physical models. See the job description here (in french) FILLED

28/09/2021

Paper on robust and decomposable average precision accepted at NeurIPS'21

20/09/2021

Paper U-Net Transformer accpeted at MLMI

26/07/2021

ANR Astral on machine learning for multidimensional SAR data processing accepted !

30/09/2020

Presentation of our work on SAR tomography for urban areas at the ALYS workshop

01/10/2020

I will present our work on multi-modal (SAR and optical Sentinel images) series analysis at the ESA Phi-week virtual event

Contact

2, rue Conté - Office 33.1.16B 75141 Paris Cedex 03, France

clement.rambour@cnam.fr

Tel.: 0140272513