Valero Laparra

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 69

Top Topics

Kernel Ridge Regression

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

Pablo Hernández-Cámara, Jorge Vila-Tomás, Paula Daudén-Oliver, Nuria Alabau-Bosque, Valero Laparra, Jesús Malo
Image Segmentation via Divisive Normalization: dealing with environmental diversity. CoRR (2024)
Nuria Alabau-Bosque, Paula Daudén-Oliver, Jorge Vila-Tomás, Valero Laparra, Jesús Malo
Invariance of deep image quality metrics to affine transformations. CoRR (2024)
Pablo Hernández-Cámara, Jorge Vila-Tomás, Valero Laparra, Jesús Malo
Analysis of Deep Image Quality Models. CoRR (2023)
Valero Laparra, Adrián Pérez-Suay, María Piles, Jordi Muñoz-Marí, Julia Amorós-López, Roberto Fernandez-Moran, Miguel-Ángel Fernández-Torres, José E. Adsuara
Assessing the Impact of Using Short Videos for Teaching at Higher Education: Empirical Evidence From Log-Files in a Learning Management System. Rev. Iberoam. de Tecnol. del Aprendiz. 18 (3) (2023)
Sebastià Mijares i Verdú, Johannes Ballé, Valero Laparra, Joan Bartrina-Rapesta, Miguel Hernández-Cabronero, Joan Serra-Sagristà
A Scalable Reduced-Complexity Compression of Hyperspectral Remote Sensing Images Using Deep Learning. Remote. Sens. 15 (18) (2023)
Tashi Namgyal, Alexander Hepburn, Raúl Santos-Rodríguez, Valero Laparra, Jesus Malo
What You Hear Is What You See: Audio Quality Metrics From Image Quality Metrics. CoRR (2023)
Tashi Namgyal, Alexander Hepburn, Raúl Santos-Rodríguez, Valero Laparra, Jesus Malo
Data is Overrated: Perceptual Metrics Can Lead Learning in the Absence of Training Data. CoRR (2023)
Pablo Hernández-Cámara, Jorge Vila-Tomás, Valero Laparra, Jesús Malo
Neural networks with divisive normalization for image segmentation. Pattern Recognit. Lett. 173 (2023)
Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Jesús Malo
Disentangling the Link Between Image Statistics and Human Perception. CoRR (2023)
Daniel Heestermans Svendsen, Daniel Hernández-Lobato, Luca Martino, Valero Laparra, Álvaro Moreno-Martínez, Gustau Camps-Valls
Inference over radiative transfer models using variational and expectation maximization methods. Mach. Learn. 112 (3) (2023)
Gustau Camps-Valls, Manuel Campos-Taberner, Valero Laparra, Luca Martino, Jordi Muñoz-Marí
Retrieval of Physical Parameters With Deep Structured Kernel Regression. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
José Manuel Jaén-Lorites, Manuel Pérez-Pelegrí, Valero Laparra, María Pilar López-Lereu, José Vicente Monmeneu, Alicia M. Maceira, David Moratal
Synthetic Generation of Cardiac MR Images Combining Convolutional Variational Autoencoders and Style Transfer. EMBC (2022)
Sebastià Mijares i Verdú, Johannes Ballé, Valero Laparra, Joan Bartrina-Rapesta, Miguel Hernández-Cabronero, Joan Serra-Sagristà
Hyperspectral remote sensing data compression with neural networks. DCC (2022)
Valero Laparra, Alexander Hepburn, Juan Emmanuel Johnson, Jesús Malo
Orthonormal Convolutions for the Rotation Based Iterative Gaussianization. ICIP (2022)
José Antonio Padrón-Hidalgo, Valero Laparra, Gustau Camps-Valls
Unsupervised Anomaly and Change Detection with Multivariate Gaussianization. CoRR (2022)
Daniel Heestermans Svendsen, Daniel Hernández-Lobato, Luca Martino, Valero Laparra, Álvaro Moreno, Gustau Camps-Valls
Inference over radiative transfer models using variational and expectation maximization methods. CoRR (2022)
Pablo Hernández-Cámara, Valero Laparra, Jesús Malo
Neural Networks with Divisive normalization for image segmentation with application in cityscapes dataset. CoRR (2022)
José Antonio Padrón-Hidalgo, Valero Laparra, Gustau Camps-Valls
Unsupervised Anomaly and Change Detection With Multivariate Gaussianization. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Valero Laparra, Alexander Hepburn, Juan Emmanuel Johnson, Jesús Malo
Orthonormal Convolutions for the Rotation Based Iterative Gaussianization. CoRR (2022)
Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Johannes Ballé, Jesus Malo
On the relation between statistical learning and perceptual distances. ICLR (2022)
Gonzalo Mateo-García, Valero Laparra, Dan López-Puigdollers, Luis Gómez-Chova
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V Images for Cloud Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Johannes Ballé, Jesús Malo
On the relation between statistical learning and perceptual distances. CoRR (2021)
Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesús Malo
Information Theory in Density Destructors. CoRR (2020)
Alexander Hepburn, Valero Laparra, Jesús Malo, Ryan McConville, Raúl Santos-Rodríguez
Perceptnet: A Human Visual System Inspired Neural Network For Estimating Perceptual Distance. ICIP (2020)
Juan Emmanuel Johnson, Valero Laparra, Adrián Pérez-Suay, Miguel D. Mahecha, Gustau Camps-Valls
Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences. CoRR (2020)
Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls
Accounting for Input Noise in Gaussian Process Parameter Retrieval. CoRR (2020)
Gonzalo Mateo-García, Valero Laparra, Dan López-Puigdollers, Luis Gómez-Chova
Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud Detection. CoRR (2020)
David Malmgren-Hansen, Valero Laparra, Allan Aasbjerg Nielsen, Gustau Camps-Valls
Spatial noise-aware temperature retrieval from infrared sounder data. CoRR (2020)
Valero Laparra, Juan Emmanuel Johnson, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesus Malo
Information Theory Measures via Multidimensional Gaussianization. CoRR (2020)
José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Valero Laparra, Gustau Camps-Valls
Efficient Kernel Cook's Distance for Remote Sensing Anomalous Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Adrián Pérez-Suay, Julia Amorós-López, Luis Gómez-Chova, Valero Laparra, Jordi Muñoz-Marí, Gustau Camps-Valls
Randomized kernels for large scale Earth observation applications. CoRR (2020)
Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls
Accounting for Input Noise in Gaussian Process Parameter Retrieval. IEEE Geosci. Remote. Sens. Lett. 17 (3) (2020)
José Antonio Padrón-Hidalgo, Valero Laparra, Nathan Longbotham, Gustau Camps-Valls
Kernel Anomalous Change Detection for Remote Sensing Imagery. CoRR (2020)
Emiliano Diaz, Adrián Pérez-Suay, Valero Laparra, Gustau Camps-Valls
Consistent regression of biophysical parameters with kernel methods. CoRR (2020)
Alexander Hepburn, Valero Laparra, Ryan McConville, Raúl Santos-Rodríguez
Enforcing perceptual consistency on Generative Adversarial Networks by using the Normalised Laplacian Pyramid Distance. NLDL (2020)
David Malmgren-Hansen, Allan Aasbjerg Nielsen, Valero Laparra, Gustau Camps-Valls
Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval. CoRR (2020)
Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls
Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models. CoRR (2020)
Alexander Hepburn, Valero Laparra, Jesús Malo, Ryan McConville, Raúl Santos-Rodríguez
PerceptNet: A Human Visual System Inspired Neural Network for Estimating Perceptual Distance. CoRR (2019)
Joaquin Garcia-Sobrino, Valero Laparra, Joan Serra-Sagristà, Xavier Calbet, Gustau Camps-Valls
Improved Statistically Based Retrievals via Spatial-Spectral Data Compression for IASI Data. IEEE Trans. Geosci. Remote. Sens. 57 (8) (2019)
Alexander Hepburn, Valero Laparra, Ryan McConville, Raúl Santos-Rodríguez
Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance. CoRR (2019)
José Antonio Padrón-Hidalgo, Valero Laparra, Nathan Longbotham, Gustau Camps-Valls
Kernel Anomalous Change Detection for Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 57 (10) (2019)
Gonzalo Mateo-García, Valero Laparra, Luis Gómez-Chova
Domain Adaptation of Landsat-8 and Proba-V Data Using Generative Adversarial Networks for Cloud Detection. IGARSS (2019)
David Malmgren-Hansen, Allan Aasbjerg Nielsen, Valero Laparra, Gustau Camps-Valls
Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval. IGARSS (2018)
Gonzalo Mateo-Garcia, Valero Laparra, Luis Gómez-Chova
Optimizing Kernel Ridge Regression for Remote Sensing Problems. IGARSS (2018)
Francisco Javier García-Haro, Manuel Campos-Taberner, Beatriz Martínez, Sergio Sanchez-Ruiz, María Amparo Gilabert, Gustau Camps-Valls, Jordi Muñoz-Marí, Valero Laparra, Fernando Camacho, Jorge Sánchez-Zapero, Beatriz Fuster
Generation of Global Vegetation Products from Eumetsat AVHRR/METOP Satellites. IGARSS (2018)
Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls
Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models. IGARSS (2018)
Gustau Camps-Valls, Luca Martino, Daniel H. Svendsen, Manuel Campos-Taberner, Jordi Muñoz-Marí, Valero Laparra, David Luengo, Francisco Javier García-Haro
Physics-aware Gaussian processes in remote sensing. Appl. Soft Comput. 68 (2018)
Emiliano Diaz, Adrian Perez-Suay, Valero Laparra, Gustau Camps-Valls
Consistent Regression of Biophysical Parameters with Kernel Methods. IGARSS (2018)
Gustau Camps-Valls, Daniel H. Svendsen, Luca Martino, Jordi Muñoz-Marí, Valero Laparra, Manuel Campos-Taberner, David Luengo
Physics-Aware Gaussian Processes for Earth Observation. SCIA (2) (2017)
Valero Laparra, Jordi Muñoz-Marí, Luis Gómez-Chova, Xavier Calbet, Gustau Camps-Valls
Nonlinear statistical retrieval of surface emissivity from IASI data. IGARSS (2017)
Luca Martino, Valero Laparra, Gustau Camps-Valls
Probabilistic cross-validation estimators for Gaussian process regression. EUSIPCO (2017)
David Malmgren-Hansen, Valero Laparra, Allan Aasbjerg Nielsen, Gustau Camps-Valls
Spatial noise-aware temperature retrieval from infrared sounder data. IGARSS (2017)
Johannes Ballé, Valero Laparra, Eero P. Simoncelli
End-to-end Optimized Image Compression. ICLR (2017)
Alexander Berardino, Valero Laparra, Johannes Ballé, Eero P. Simoncelli
Eigen-Distortions of Hierarchical Representations. NIPS (2017)
Adrián Pérez-Suay, Valero Laparra, Gonzalo Mateo-Garcia, Jordi Muñoz-Marí, Luis Gómez-Chova, Gustau Camps-Valls
Fair Kernel Learning. ECML/PKDD (1) (2017)
Joaquin Garcia-Sobrino, Joan Serra-Sagristà, Valero Laparra, Xavier Calbet, Gustau Camps-Valls
Statistical Atmospheric Parameter Retrieval Largely Benefits From Spatial-Spectral Image Compression. IEEE Trans. Geosci. Remote. Sens. 55 (4) (2017)
Valero Laparra, Alexander Berardino, Johannes Ballé, Eero P. Simoncelli
Perceptually Optimized Image Rendering. CoRR (2017)
Emma Izquierdo-Verdiguier, Valero Laparra, Robert Jenssen, Luis Gómez-Chova, Gustau Camps-Valls
Optimized Kernel Entropy Components. IEEE Trans. Neural Networks Learn. Syst. 28 (6) (2017)
Alexander Berardino, Johannes Ballé, Valero Laparra, Eero P. Simoncelli
Eigen-Distortions of Hierarchical Representations. CoRR (2017)
Emma Izquierdo-Verdiguier, Valero Laparra, Robert Jenssen, Luis Gómez-Chova, Gustau Camps-Valls
Optimized Kernel Entropy Components. CoRR (2016)
Valero Laparra, Johannes Ballé, Alexander Berardino, Eero P. Simoncelli
Perceptual image quality assessment using a normalized Laplacian pyramid. HVEI (2016)
Johannes Ballé, Valero Laparra, Eero P. Simoncelli
Density Modeling of Images using a Generalized Normalization Transformation. ICLR (2016)
Johannes Ballé, Valero Laparra, Eero P. Simoncelli
End-to-end optimization of nonlinear transform codes for perceptual quality. PCS (2016)
Johannes Ballé, Valero Laparra, Eero P. Simoncelli
End-to-end Optimized Image Compression. CoRR (2016)
Valero Laparra, Juan Gutiérrez, Gustavo Camps-Valls, Jesús Malo
Image Denoising with Kernels based on Natural Image Relations. CoRR (2016)
Naoufal Amrani, Joan Serra-Sagristà, Valero Laparra, Michael W. Marcellin, Jesús Malo
Regression Wavelet Analysis for Lossless Coding of Remote-Sensing Data. IEEE Trans. Geosci. Remote. Sens. 54 (9) (2016)
Johannes Ballé, Valero Laparra, Eero P. Simoncelli
End-to-end optimization of nonlinear transform codes for perceptual quality. CoRR (2016)
Valero Laparra, Jesús Malo
Sequential Principal Curves Analysis. CoRR (2016)
Valero Laparra, Jesús Malo, Gustau Camps-Valls
Dimensionality Reduction via Regression in Hyperspectral Imagery. CoRR (2016)
Valero Laparra, Jesus Malo, Gustau Camps-Valls
Dimensionality Reduction via Regression in Hyperspectral Imagery. IEEE J. Sel. Top. Signal Process. 9 (6) (2015)
Valero Laparra, Raúl Santos-Rodríguez
Spatial/spectral information trade-off in hyperspectral images. IGARSS (2015)
Valero Laparra, Diego Marcos Gonzalez, Devis Tuia, Gustau Camps-Valls
Large-scale random features for kernel regression. IGARSS (2015)
Fernando Mateo, Jordi Muñoz-Marí, Valero Laparra, Jochem Verrelst, Gustau Camps-Valls
Learning Structures in Earth Observation Data with Gaussian Processes. AALTD@PKDD/ECML (Revised Selected Papers) (2015)
Valero Laparra, Sandra Jiménez, Devis Tuia, Gustau Camps-Valls, Jesús Malo
Principal Polynomial Analysis. Int. J. Neural Syst. 24 (7) (2014)
Naoufal Amrani, Valero Laparra, Gustavo Camps-Valls, Joan Serra-Sagristà, Jesús Malo
Lossless coding of hyperspectral images with principal polynomial analysis. ICIP (2014)
Valero Laparra, Jesus Malo, Gustavo Camps-Valls
Dimensionality reduction via regression on hyperspectral infrared sounding data. WHISPERS (2014)
Sandra Jiménez, Xavier Otazu, Valero Laparra, Jesús Malo
Chromatic induction and contrast masking: similar models, different goals? Human Vision and Electronic Imaging (2013)
Sandra Jiménez, Valero Laparra, Jesús Malo
Visual discrimination and adaptation using non-linear unsupervised learning. Human Vision and Electronic Imaging (2013)
Vicent Talens, Valero Laparra, Jesus Malo, Gustavo Camps-Valls
Kernel Structural SIMIlarity on hyperspectral images. IGARSS (2013)
Emma Izquierdo-Verdiguier, Valero Laparra, Luis Gómez-Chova, Gustavo Camps-Valls
Encoding Invariances in Remote Sensing Image Classification With SVM. IEEE Geosci. Remote. Sens. Lett. 10 (5) (2013)
Valero Laparra, Sandra Jiménez, Gustavo Camps-Valls, Jesús Malo
Nonlinearities and Adaptation of Color Vision from Sequential Principal Curves Analysis. Neural Comput. 24 (10) (2012)
Emma Izquierdo-Verdiguier, Valero Laparra, Luis Gómez-Chova, Gustavo Camps-Valls
Including invariances in SVM remote sensing image classification. IGARSS (2012)
Valero Laparra, Devis Tuia, Sandra Jiménez, Gustavo Camps-Valls, Jesus Malo
Nonlinear data description with Principal Polynomial Analysis. MLSP (2012)
Valero Laparra, Devis Tuia, Sandra Jiménez, Gustavo Camps-Valls, Jesus Malo
Principal polynomial analysis for remote sensing data processing. IGARSS (2011)
Gustavo Camps-Valls, Valero Laparra, Jordi Muñoz-Marí, Luis Gómez-Chova, Xavier Calbet
Kernel-based retrieval of atmospheric profiles from IASI data. IGARSS (2011)
Valero Laparra, Michael Gutmann, Jesús Malo, Aapo Hyvärinen
Complex-Valued Independent Component Analysis of Natural Images. ICANN (2) (2011)
Valero Laparra, Gustavo Camps-Valls, Jesus Malo
Iterative Gaussianization: From ICA to Random Rotations. IEEE Trans. Neural Networks 22 (4) (2011)
Valero Laparra, Jaime Gutierrez, Gustavo Camps-Valls, Jesús Malo
Image Denoising with Kernels Based on Natural Image Relations. J. Mach. Learn. Res. 11 (2010)
Jesús Malo, Valero Laparra
Psychophysically Tuned Divisive Normalization Approximately Factorizes the PDF of Natural Images. Neural Comput. 22 (12) (2010)
Gustavo Camps-Valls, Devis Tuia, Valero Laparra, Jesús Malo
Estimating biophysical variable dependences with kernels. IGARSS (2010)
Valero Laparra, Gustavo Camps-Valls, Jesús Malo
PCA Gaussianization for image processing. ICIP (2009)
Jesus Malo, Valero Laparra
Visual Cortex Performs a Sort of Non-linear ICA. NOLISP (2009)
Valero Laparra, Jaime Gutierrez, Gustavo Camps-Valls, Jesus Malo
Recovering wavelet relations using SVM for image denoising. ICIP (2008)