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Author

Gabriele Trivigno

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Preprint Oct 2026

Scalable Patch-Level Self-Supervised Learning

Self-supervised learning (SSL) at scale produces powerful visual representations. However, most scalable SSL methods rely on ad hoc combinations of multiple objectives and stabilization mechanisms. Taking a step back, we ask if we can design a high-performing, yet principled SSL algorithm. Starting from the multi-view...

Maximilian Seitzer, Gabriele Trivigno, Antonín Vobecký et al. · 0 citations
Preprint Aug 2026

FoundYou: A Unified Model for Personalized Segmentation and Retrieval

Personalized segmentation and personalized retrieval both aim to identify the same physical object across different images. While the former localizes the object within a target image, the latter retrieves images where it appears. Despite this shared instance-level objective, the two tasks have largely evolved separate...

Gabriele Trivigno, Marcos Alfaro, C. Cuttano et al. · 0 citations

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