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Valero Laparra

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Image Processing Lab., Universitat de València

Data is Overrated: Perceptual Metrics Can Lead Learning in the Absence of Training Data

Dec 06, 2023
Tashi Namgyal, Alexander Hepburn, Raul Santos-Rodriguez, Valero Laparra, Jesus Malo

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What You Hear Is What You See: Audio Quality Metrics From Image Quality Metrics

May 19, 2023
Tashi Namgyal, Alexander Hepburn, Raul Santos-Rodriguez, Valero Laparra, Jesus Malo

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Disentangling the Link Between Image Statistics and Human Perception

Mar 17, 2023
Alexander Hepburn, Valero Laparra, Raul Santos-Rodriguez, Jesús Malo

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Analysis of Deep Image Quality Models

Feb 26, 2023
Pablo Hernández-Cámara, Jorge Vila-Tomás, Valero Laparra, Jesús Malo

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Orthonormal Convolutions for the Rotation Based Iterative Gaussianization

Jun 08, 2022
Valero Laparra, Alexander Hepburn, J. Emmanuel Johnson, Jesús Malo

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Unsupervised Anomaly and Change Detection with Multivariate Gaussianization

Apr 12, 2022
José A. Padrón-Hidalgo, Valero Laparra, Gustau Camps-Valls

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Inference over radiative transfer models using variational and expectation maximization methods

Apr 07, 2022
Daniel Heestermans Svendsen, Daniel Hernández-Lobato, Luca Martino, Valero Laparra, Alvaro Moreno, Gustau Camps-Valls

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Neural Networks with Divisive normalization for image segmentation with application in cityscapes dataset

Mar 25, 2022
Pablo Hernández-Cámara, Valero Laparra, Jesús Malo

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On the relation between statistical learning and perceptual distances

Jun 08, 2021
Alexander Hepburn, Valero Laparra, Raul Santos-Rodriguez, Johannes Ballé, Jesús Malo

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Learning Structures in Earth Observation Data with Gaussian Processes

Dec 22, 2020
Fernando Mateo, Jordi Munoz-Mari, Valero Laparra, Jochem Verrelst, Gustau Camps-Valls

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