5 papers · 1 filter
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…
LAND: Lung and Nodule Diffusion for 3D Chest CT Synthesis with Anatomical Guidance
Anna Oliveras, Roger Marí, Rafael Redondo +6
This work introduces a new latent diffusion model to generate high-quality 3D chest CT scans conditioned on 3D anatomical masks. The method synthesizes volumetric images of size 25…
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…
Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation
Guillem Martinez, Maya Aghaei, Martin Dijkstra +5
Given the hyper-spectral imaging unique potentials in grasping the polymer characteristics of different materials, it is commonly used in sorting procedures. In a practical plastic…