Neural Networks with Divisive normalization for image segmentation with application in cityscapes dataset. - Pablo Hernández-Cámara; Valero Laparra; Jesús Malo (CoRR, 2022)

Analysis of Deep Image Quality Models. - Pablo Hernández-Cámara; Jorge Vila-Tomás; Valero Laparra; Jesús Malo (CoRR, 2023)

Neural networks with divisive normalization for image segmentation. - Pablo Hernández-Cámara; Jorge Vila-Tomás; Valero Laparra; Jesús Malo (Pattern Recognit. Lett., 2023)

Image Segmentation via Divisive Normalization: dealing with environmental diversity. - Pablo Hernández-Cámara; Jorge Vila-Tomás; Paula Daudén-Oliver; Nuria Alabau-Bosque; Valero Laparra; Jesús Malo (CoRR, 2024)

Parametric Enhancement of PerceptNet: A Human-Inspired Approach for Image Quality Assessment. - Jorge Vila-Tomás; Pablo Hernández-Cámara; Valero Laparra; Jesús Malo (CoRR, 2024)

Why Divisive Normalization works in image segmentation? - Pablo Hernández-Cámara; Jorge Vila-Tomás; Paula Daudén-Oliver; Nuria Alabau-Bosque; Valero Laparra; Jesús Malo (Neurocomputing, 2025)

Dissecting the effectiveness of deep features as metric of perceptual image quality. - Pablo Hernández-Cámara; Jorge Vila-Tomás; Valero Laparra; Jesús Malo (Neural Networks, 2025)

IQM-Vis: A user-centric python toolbox for visualising and evaluating image quality metrics. - Matthew Clifford; Alexander Hepburn; Ricardo Kleinlein; Jorge Vila-Tomás; Pablo Hernández-Cámara; Paula Dauden; Nathan F. Lepora; Valero Laparra; Raúl Santos-Rodríguez (SoftwareX, 2025)