Signal and image processing

TSI - Signal and image processing

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The COMmunity of ExperTs TSI is interested in the following topics :

Analysis and processing of optical and radar satellite images : Compression, restoration, segmentation, classification…
Extraction and analysis of scientific measurements : Altimetry, sounding…
Architectures and supports for Embedded processes : Optimization of complexity, architecture…
Transmission and localization : Channel coding, filtering, estimation…
Propagation - in connection with the Community of Experts ECM (Electromagnetism and Microwave Circuit)

Guillaume EYNARD-BONTEMPS
Ingénieur Calcul Scientifique
Xavier BOULANGER
Ingénieur
Emilie Robert
community moderator

The bureau

Space Agencies

R&D publique & IRT

Laurent CASTANET

ONERA

Propagation radioélectrique, radiocommunications

Industrial Prime Contractor

Public Research (laboratories, Instituts, Higher School, ...)

Tous les événements futurs

24 March 2026
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MILO Seminar : Adaptation of foundation model: from Transformer adapters to VLM test-time prompt tuning

TSI - Signal and image processing

Adaptation of foundation model: from Transformer adapters to VLM test-time prompt tuning With the advent of foundation models, model development has shifted from tailoring task-specific models to training large models capable of addressing a wide range of tasks. One way of using foundation models is to directly use them with the pretrained weights from a very optimized training. This has the advantage of not using any training resources, and of exploiting ...

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17 March 2026
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MILO Seminar: Conquering EO Heterogeneity: From Atomic Scalars to Resolution-Adjustable Foundation Models

TSI - Signal and image processing

We are pleased to welcome Nicolas Houdré and Hugo Riffaud de Turckheim (Université Paris Cité) for the next MILO seminar on Tuesday 10 February from 13:30 to 14:30 by videoconference.Title: Conquering EO Heterogeneity: From Atomic Scalars to Resolution-Adjustable Foundation Models Abstract: The rapid proliferation of Earth Observation (EO) satellites has created a data landscape of extreme heterogeneity, producing vast amounts of data with varying spatial, spectral, and temporal characteristics. Traditional deep ...

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