1 citations · 1 across the 3 of their papers we have counts for
4 papers
Foundations and Models in Modern Computer Vision: Key Building Blocks in Landmark Architectures
Radu-Andrei Bourceanu, Neil De La Fuente, Jan Grimm +5
This report analyzes the evolution of key design patterns in computer vision by examining six influential papers. The analysis begins with foundational architectures for image reco…
GuideX: Guided Synthetic Data Generation for Zero-Shot Information Extraction
Neil De La Fuente, Oscar Sainz, Iker García-Ferrero +1
Information Extraction (IE) systems are traditionally domain-specific, requiring costly adaptation that involves expert schema design, data annotation, and model training. While La…
Prototype Augmented Hypernetworks for Continual Learning
Neil De La Fuente, Maria Pilligua, Daniel Vidal +4
Continual learning (CL) aims to learn a sequence of tasks without forgetting prior knowledge, but gradient updates for a new task often overwrite the weights learned earlier, causi…
Enhancing Image Classification in Small and Unbalanced Datasets through Synthetic Data Augmentation
Neil De La Fuente, Mireia Majó, Irina Luzko +3
Accurate and robust medical image classification is a challenging task, especially in application domains where available annotated datasets are small and present high imbalance be…