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Author

G. Amato

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Preprint Sep 2026

Agentic Multimodal Models for Environmental Hyperspectral Unmixing

Hyperspectral unmixing is a key task in remote sensing that aims to decompose mixed pixels in hyperspectral images into their constituent material signatures, or endmembers, and their fractional abundances. Conventional modular approaches estimate the scene composition through successive model-order estimation, endmemb...

M. Cholewa, Luca Ciampi, Nicola Messina et al. · 0 citations

CroQS: Cross-modal Query Suggestion for Text-to-Image Retrieval in Image Archives

The novel task of cross-modal query suggestion is introduced, which interactively guides users by suggesting textual refinements based on visual clusters identified in the retrieval results, and the creation of CroQS, a benchmark dataset comprising 50 diverse queries and 295 semantic clusters in generic domain.

Giacomo Pacini, Nicola Messina, Nicola Tonellotto et al. · 0 citations

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