01FOTBCD
An open, geographically diverse building-change dataset with 223,675 before-and-after aerial image pairs and 960,880 building instances across 28 French departments.
Work
Research projects, production-minded prototypes, and the experiments that connected them.
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02MBCTD
A dense multi-label model that maps unchanged, demolished, and new buildings from before-and-after aerial imagery, including replacement sites where labels overlap.
03FOTBCD-CC
An open dataset and model for describing change in before-and-after aerial imagery, with 321,200 captions for 223,675 temporal pairs.
04Temporal Captioning and Retrieval
A study of how vision-language models describe before-and-after imagery, how visual and language signals can be combined for temporal search.
05Search Any Change
A multimodal search system over 420,175 before-and-after aerial patch pairs from Rhône, a department excluded from model training.
06Semantic Change Mapping
Using one retrieved example of deforestation to find similar changes and create a map across Rhône.
AI Legal Research Platform
A full-stack Italian legal-research application that combined source search, cited AI answers, and persistent conversations in one React experience.
08EduGen
An AI study platform for cited chat, hybrid lesson search, document analysis, and quiz generation.