We worked on generic image collection analysis, focussing on interpretability and looking at problems like clustering or unsupervised image decomposition. The Deep Transformation Invariant approach we developed is one of the idea at the core of the new ERC DISCOVER project. We developed proof of concepts of its application to many problems, and in particular paleographic analysis.



Deep Transformation-Invariant Clustering
T. Monnier, T. Groueix, M. Aubry
NeurIPS 2020
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Unsupervised Layered Image Decomposition into Object Prototypes
T. Monnier, E. Vincent, J. Ponce, M. Aubry
ICCV 2021
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The Learnable Typewriter A Generative Approach to Text Line Analysis
Y. Siglidis, N. Gonthier, J. Gaubil, T. Monnier, M. Aubry
ArXiv 2023
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