1 citations · 1 across the 3 of their papers we have counts for
4 papers
Learning from Semantic Dictionaries: Discriminative Codebook Contrastive Learning for Unified Visual Representation and Generation
Imanol G. Estepa, Jesús M Rodríguez-de-Vera, Bhalaji Nagarajan +1
Discriminative and generative vision models excel in their respective domains but remain semantically misaligned, hindering progress toward unified visual learning. We introduce LE…
Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis
Imanol G. Estepa, Jesús M. Rodríguez-de-Vera, Ignacio Sarasúa +2
While representation learning and generative modeling seek to understand visual data, unifying both domains remains unexplored. Recent Unified Self-Supervised Learning (SSL) method…
Precision at Scale: Domain-Specific Datasets On-Demand
Jesús M Rodríguez-de-Vera, Imanol G Estepa, Ignacio Sarasúa +2
In the realm of self-supervised learning (SSL), conventional wisdom has gravitated towards the utility of massive, general domain datasets for pretraining robust backbones. In this…
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction
Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan +1
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…