| End-to-end optimized image compression J Ballé, V Laparra, EP Simoncelli arXiv preprint arXiv:1611.01704, 2016 | 1926 | 2016 |
| Density modeling of images using a generalized normalization transformation J Ballé, V Laparra, EP Simoncelli arXiv preprint arXiv:1511.06281, 2015 | 431 | 2015 |
| End-to-end optimization of nonlinear transform codes for perceptual quality J Ballé, V Laparra, EP Simoncelli 2016 Picture Coding Symposium (PCS), 1-5, 2016 | 279 | 2016 |
| A survey on Gaussian processes for earth-observation data analysis: A comprehensive investigation G Camps-Valls, J Verrelst, J Munoz-Mari, V Laparra, F Mateo-Jimenez, ... IEEE Geoscience and Remote Sensing Magazine 4 (2), 58-78, 2016 | 251 | 2016 |
| Perceptual image quality assessment using a normalized Laplacian pyramid V Laparra, J Ballé, A Berardino, EP Simoncelli Electronic Imaging 28, 1-6, 2016 | 174 | 2016 |
| Iterative gaussianization: from ICA to random rotations V Laparra, G Camps-Valls, J Malo IEEE transactions on neural networks 22 (4), 537-549, 2011 | 129 | 2011 |
| Divisive normalization image quality metric revisited V Laparra, J Muñoz-Marí, J Malo JOSA A 27 (4), 852-864, 2010 | 116 | 2010 |
| Fair kernel learning A Pérez-Suay, V Laparra, G Mateo-García, J Muñoz-Marí, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017 | 105 | 2017 |
| Derivation of global vegetation biophysical parameters from EUMETSAT Polar System FJ García-Haro, M Campos-Taberner, J Muñoz-Marí, V Laparra, ... ISPRS journal of photogrammetry and remote sensing 139, 57-74, 2018 | 97 | 2018 |
| Physics-aware Gaussian processes in remote sensing G Camps-Valls, L Martino, DH Svendsen, M Campos-Taberner, ... Applied Soft Computing 68, 69-82, 2018 | 96 | 2018 |
| Perceptually optimized image rendering V Laparra, A Berardino, J Ballé, EP Simoncelli JOSA A 34 (9), 1511-1525, 2017 | 80 | 2017 |
| Eigen-distortions of hierarchical representations A Berardino, V Laparra, J Ballé, E Simoncelli Advances in neural information processing systems 30, 2017 | 75 | 2017 |
| Transferring deep learning models for cloud detection between Landsat-8 and Proba-V G Mateo-García, V Laparra, D López-Puigdollers, L Gómez-Chova ISPRS Journal of Photogrammetry and Remote Sensing 160, 1-17, 2020 | 73 | 2020 |
| Psychophysically tuned divisive normalization approximately factorizes the PDF of natural images J Malo, V Laparra Neural computation 22 (12), 3179-3206, 2010 | 72 | 2010 |
| Regression wavelet analysis for lossless coding of remote-sensing data N Amrani, J Serra-Sagristà, V Laparra, MW Marcellin, J Malo IEEE Transactions on Geoscience and Remote Sensing 54 (9), 5616-5627, 2016 | 62 | 2016 |
| Encoding invariances in remote sensing image classification with SVM E Izquierdo-Verdiguier, V Laparra, L Gomez-Chova, G Camps-Valls IEEE Geoscience and Remote Sensing Letters 10 (5), 981-985, 2012 | 59 | 2012 |
| Nonlinearities and adaptation of color vision from sequential principal curves analysis V Laparra, S Jiménez, G Camps-Valls, J Malo Neural Computation 24 (10), 2751-2788, 2012 | 59 | 2012 |
| Dimensionality reduction via regression in hyperspectral imagery V Laparra, J Malo, G Camps-Valls IEEE journal of selected topics in signal processing 9 (6), 1026-1036, 2015 | 55 | 2015 |
| A review of kernel methods in remote sensing data analysis L Gómez-Chova, J Muñoz-Marí, V Laparra, J Malo-López, G Camps-Valls Optical Remote Sensing: Advances in Signal Processing and Exploitation …, 2011 | 51 | 2011 |
| Visual aftereffects and sensory nonlinearities from a single statistical framework V Laparra, J Malo Frontiers in human neuroscience 9, 557, 2015 | 37 | 2015 |
Gustau Camps-VallsProfessor. Image Processing Lab (IPL). Universitat de València在 uv.es 的電子郵件地址已通過驗證
