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Petia Radeva

2 accepted papers

2026

Learning from Semantic Dictionaries: Discriminative Codebook Contrastive Learning for Unified Visual Representation and Generation

CVPR 2026

Discriminative and generative vision models excel in their respective domains but remain semantically misaligned, hindering progress toward unified visual learning. We introduce LEASE (LEArning from SEmantic Dictionaries), a self-supervised framework that bridges this gap using a paired generative-d

Cited by 0SourceScholar
2023

All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction

ICCV 2023poster

Nearest neighbour based methods have proved to be one of the most successful self-supervised learning (SSL) approaches due to their high generalization capabilities. However, their computational efficiency decreases when more than one neighbour is used. In this paper, we propose a novel contrastive…

Cited by 12PDFScholar