Florent Couzinie-Devy — accepted AI-conference papers

2025

Controllable Latent Space Augmentation for Digital Pathology

Sofiène Boutaj, Marin Scalbert, Pierre Marza, Florent Couzinie-Devy, Maria Vakalopoulou, Stergios Christodoulidis

ICCV 2025poster

Whole slide image (WSI) analysis in digital pathology presents unique challenges due to the gigapixel resolution of WSIs and the scarcity of dense supervision signals. While Multiple Instance Learning (MIL) is a natural fit for slide-level tasks, training robust models requires large and diverse dat…

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2024

Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization

Marin Scalbert, Maria Vakalopoulou, Florent Couzinie-Devy

ICLR 2024poster

In Self-Supervised Learning (SSL), models are typically pretrained, fine-tuned, and evaluated on the same domains. However, they tend to perform poorly when evaluated on unseen domains, a challenge that Unsupervised Domain Generalization (UDG) seeks to address. Current UDG methods rely on domain lab…

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