Clément Rambour

About me

I am a Lecturer at Sorbonne University, affiliated with the Machine Learning – Deep Learning and Information Access (MLIA) team of the ISIR lab. My research focuses on machine learning, particularly in the areas of image understanding and multi-modal data integration, including text-image and multi-sensor inputs. I am particularly interested in developing hybrid models that combine both physical and statistical approaches. Additionally, I work on enhancing the robustness of machine learning models to ensure their reliability across diverse applications. Prior to joining Sorbonne University, I was an Assistant Professor at the CEDRIC laboratory of the Conservatoire National des Arts et Métiers (CNAM), where I was part of the Vertigo Team.

Contact

Sorbonne University – Campus Pierre et Marie Curie

Pyramid level 0 between towers 55 and 56

4, place Jussieu, 75005 Paris, France

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Office H13

clement.rambour@isir.upmc.fr

News

12/09/2024

Our paper on few-shot learning for Vision-Language Models (VLM) has been accepted at ECCV24, demonstrating the best accuracy-robustness trade-off.

10/07/2024

Thrilled to announce that my young researcher project "MERCATO: Multimodal Uncertainty Quantification for Earth Observation" has been funded by the French National Research Agency! 🙌

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