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2020 – today
- 2025
[j25]Pablo Hernández-Cámara
, Jorge Vila-Tomás, Valero Laparra, Jesús Malo:
Dissecting the effectiveness of deep features as metric of perceptual image quality. Neural Networks 185: 107189 (2025)- [j24]Valero Laparra, Juan Emmanuel Johnson, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesús Malo:
Estimating Information Theoretic Measures via Multidimensional Gaussianization. IEEE Trans. Pattern Anal. Mach. Intell. 47(2): 1293-1308 (2025) - 2024
- [j23]Adrián Pérez-Suay, Valero Laparra, Steven Van Vaerenbergh, Ana Belen Pascual Venteo:
Learning About Student Performance From Moodle Logs in a Higher Education Context With Gaussian Processes. Rev. Iberoam. de Tecnol. del Aprendiz. 19: 169-175 (2024) - [i35]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 abs/2407.17829 (2024) - [i34]Nuria Alabau-Bosque, Paula Daudén-Oliver, Jorge Vila-Tomás, Valero Laparra, Jesús Malo:
Invariance of deep image quality metrics to affine transformations. CoRR abs/2407.17927 (2024) - [i33]Tashi Namgyal, Alexander Hepburn, Raúl Santos-Rodríguez, Valero Laparra, Jesus Malo:
The Effect of Perceptual Metrics on Music Representation Learning for Genre Classification. CoRR abs/2409.17069 (2024) - [i32]Jorge Vila-Tomás, Pablo Hernández-Cámara, Valero Laparra, Jesús Malo:
Parametric Enhancement of PerceptNet: A Human-Inspired Approach for Image Quality Assessment. CoRR abs/2412.03210 (2024) - [i31]Paula Daudén-Oliver, David Agost-Beltran, Emilio Sansano-Sansano, Valero Laparra, Jesús Malo, Marina Martínez-Garcia:
RAID-Database: human Responses to Affine Image Distortions. CoRR abs/2412.10211 (2024) - 2023
- [j22]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): 233-238 (2023) - [j21]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): 921-937 (2023) - [j20]Pablo Hernández-Cámara, Jorge Vila-Tomás, Valero Laparra, Jesús Malo:
Neural networks with divisive normalization for image segmentation. Pattern Recognit. Lett. 173: 64-71 (2023) - [j19]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): 4422 (2023) - [i30]Pablo Hernández-Cámara, Jorge Vila-Tomás, Valero Laparra, Jesús Malo:
Analysis of Deep Image Quality Models. CoRR abs/2302.13345 (2023) - [i29]Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Jesús Malo:
Disentangling the Link Between Image Statistics and Human Perception. CoRR abs/2303.09874 (2023) - [i28]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 abs/2305.11582 (2023) - [i27]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 abs/2312.03455 (2023) - 2022
- [j18]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: 1-10 (2022) - [j17]José Antonio Padrón-Hidalgo, Valero Laparra, Gustau Camps-Valls:
Unsupervised Anomaly and Change Detection With Multivariate Gaussianization. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - [c39]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: 476 - [c38]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: 2084-2087 - [c37]Valero Laparra, Alexander Hepburn, Juan Emmanuel Johnson, Jesús Malo:
Orthonormal Convolutions for the Rotation Based Iterative Gaussianization. ICIP 2022: 4018-4022 - [c36]Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Johannes Ballé, Jesus Malo:
On the relation between statistical learning and perceptual distances. ICLR 2022 - [i26]Pablo Hernández-Cámara, Valero Laparra, Jesús Malo:
Neural Networks with Divisive normalization for image segmentation with application in cityscapes dataset. CoRR abs/2203.13558 (2022) - [i25]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 abs/2204.03346 (2022) - [i24]José Antonio Padrón-Hidalgo, Valero Laparra, Gustau Camps-Valls:
Unsupervised Anomaly and Change Detection with Multivariate Gaussianization. CoRR abs/2204.05699 (2022) - [i23]Valero Laparra, Alexander Hepburn, Juan Emmanuel Johnson, Jesús Malo:
Orthonormal Convolutions for the Rotation Based Iterative Gaussianization. CoRR abs/2206.03860 (2022) - 2021
- [j16]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: 747-761 (2021) - [i22]Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Johannes Ballé, Jesús Malo:
On the relation between statistical learning and perceptual distances. CoRR abs/2106.04427 (2021) - 2020
- [j15]Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls:
Accounting for Input Noise in Gaussian Process Parameter Retrieval. IEEE Geosci. Remote. Sens. Lett. 17(3): 391-395 (2020) - [j14]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: 5480-5488 (2020) - [c35]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: 121-125 - [c34]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: 1-6 - [i21]Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls:
Accounting for Input Noise in Gaussian Process Parameter Retrieval. CoRR abs/2005.09907 (2020) - [i20]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 abs/2006.05923 (2020) - [i19]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 abs/2007.14706 (2020) - [i18]Valero Laparra, Juan Emmanuel Johnson, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesus Malo:
Information Theory Measures via Multidimensional Gaussianization. CoRR abs/2010.03807 (2020) - [i17]Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesús Malo:
Information Theory in Density Destructors. CoRR abs/2012.01012 (2020) - [i16]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 abs/2012.03630 (2020) - [i15]José Antonio Padrón-Hidalgo, Valero Laparra, Nathan Longbotham, Gustau Camps-Valls:
Kernel Anomalous Change Detection for Remote Sensing Imagery. CoRR abs/2012.04920 (2020) - [i14]Emiliano Diaz, Adrián Pérez-Suay, Valero Laparra, Gustau Camps-Valls:
Consistent regression of biophysical parameters with kernel methods. CoRR abs/2012.04922 (2020) - [i13]Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls:
Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models. CoRR abs/2012.04947 (2020) - [i12]David Malmgren-Hansen, Valero Laparra, Allan Aasbjerg Nielsen, Gustau Camps-Valls:
Spatial noise-aware temperature retrieval from infrared sounder data. CoRR abs/2012.05839 (2020) - [i11]David Malmgren-Hansen, Allan Aasbjerg Nielsen, Valero Laparra, Gustau Camps-Valls:
Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval. CoRR abs/2012.10395 (2020)
2010 – 2019
- 2019
- [j13]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): 5651-5668 (2019) - [j12]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): 7743-7755 (2019) - [c33]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: 712-715 - [i10]Alexander Hepburn, Valero Laparra, Ryan McConville, Raúl Santos-Rodríguez:
Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance. CoRR abs/1908.04347 (2019) - [i9]Alexander Hepburn, Valero Laparra, Jesús Malo, Ryan McConville, Raúl Santos-Rodríguez:
PerceptNet: A Human Visual System Inspired Neural Network for Estimating Perceptual Distance. CoRR abs/1910.12548 (2019) - 2018
- [j11]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: 69-82 (2018) - [c32]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: 1826-1829 - [c31]David Malmgren-Hansen, Allan Aasbjerg Nielsen, Valero Laparra, Gustau Camps-Valls:
Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval. IGARSS 2018: 2111-2114 - [c30]Gonzalo Mateo-Garcia, Valero Laparra, Luis Gómez-Chova:
Optimizing Kernel Ridge Regression for Remote Sensing Problems. IGARSS 2018: 4007-4010 - [c29]Emiliano Diaz, Adrian Perez-Suay, Valero Laparra, Gustau Camps-Valls:
Consistent Regression of Biophysical Parameters with Kernel Methods. IGARSS 2018: 4047-4050 - [c28]Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls:
Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models. IGARSS 2018: 4051-4054 - 2017
- [j10]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): 2213-2224 (2017) - [j9]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): 1466-1472 (2017) - [c27]Luca Martino, Valero Laparra, Gustau Camps-Valls:
Probabilistic cross-validation estimators for Gaussian process regression. EUSIPCO 2017: 823-827 - [c26]Johannes Ballé, Valero Laparra, Eero P. Simoncelli:
End-to-end Optimized Image Compression. ICLR 2017 - [c25]David Malmgren-Hansen, Valero Laparra, Allan Aasbjerg Nielsen, Gustau Camps-Valls:
Spatial noise-aware temperature retrieval from infrared sounder data. IGARSS 2017: 17-20 - [c24]Valero Laparra, Jordi Muñoz-Marí, Luis Gómez-Chova, Xavier Calbet, Gustau Camps-Valls:
Nonlinear statistical retrieval of surface emissivity from IASI data. IGARSS 2017: 5450-5453 - [c23]Alexander Berardino, Valero Laparra, Johannes Ballé, Eero P. Simoncelli:
Eigen-Distortions of Hierarchical Representations. NIPS 2017: 3530-3539 - [c22]Adrián Pérez-Suay, Valero Laparra, Gonzalo Mateo-Garcia, Jordi Muñoz-Marí, Luis Gómez-Chova, Gustau Camps-Valls:
Fair Kernel Learning. ECML/PKDD (1) 2017: 339-355 - [c21]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: 205-217 - [i8]Valero Laparra, Alexander Berardino, Johannes Ballé, Eero P. Simoncelli:
Perceptually Optimized Image Rendering. CoRR abs/1701.06641 (2017) - [i7]Alexander Berardino, Johannes Ballé, Valero Laparra, Eero P. Simoncelli:
Eigen-Distortions of Hierarchical Representations. CoRR abs/1710.02266 (2017) - 2016
- [j8]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): 5616-5627 (2016) - [c20]Valero Laparra, Johannes Ballé, Alexander Berardino, Eero P. Simoncelli:
Perceptual image quality assessment using a normalized Laplacian pyramid. HVEI 2016: 1-6 - [c19]Johannes Ballé, Valero Laparra, Eero P. Simoncelli:
End-to-end optimization of nonlinear transform codes for perceptual quality. PCS 2016: 1-5 - [c18]Johannes Ballé, Valero Laparra, Eero P. Simoncelli:
Density Modeling of Images using a Generalized Normalization Transformation. ICLR 2016 - [i6]Valero Laparra, Jesús Malo, Gustau Camps-Valls:
Dimensionality Reduction via Regression in Hyperspectral Imagery. CoRR abs/1602.00214 (2016) - [i5]Valero Laparra, Juan Gutiérrez, Gustavo Camps-Valls, Jesús Malo:
Image Denoising with Kernels based on Natural Image Relations. CoRR abs/1602.00217 (2016) - [i4]Emma Izquierdo-Verdiguier, Valero Laparra, Robert Jenssen, Luis Gómez-Chova, Gustau Camps-Valls:
Optimized Kernel Entropy Components. CoRR abs/1603.02806 (2016) - [i3]Valero Laparra, Jesús Malo:
Sequential Principal Curves Analysis. CoRR abs/1606.00856 (2016) - [i2]Johannes Ballé, Valero Laparra, Eero P. Simoncelli:
End-to-end optimization of nonlinear transform codes for perceptual quality. CoRR abs/1607.05006 (2016) - [i1]Johannes Ballé, Valero Laparra, Eero P. Simoncelli:
End-to-end Optimized Image Compression. CoRR abs/1611.01704 (2016) - 2015
- [j7]Valero Laparra, Jesus Malo, Gustau Camps-Valls:
Dimensionality Reduction via Regression in Hyperspectral Imagery. IEEE J. Sel. Top. Signal Process. 9(6): 1026-1036 (2015) - [c17]Valero Laparra, Diego Marcos Gonzalez, Devis Tuia, Gustau Camps-Valls:
Large-scale random features for kernel regression. IGARSS 2015: 17-20 - [c16]Valero Laparra, Raúl Santos-Rodríguez:
Spatial/spectral information trade-off in hyperspectral images. IGARSS 2015: 1124-1127 - [c15]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: 78-94 - 2014
- [j6]Valero Laparra, Sandra Jiménez, Devis Tuia, Gustau Camps-Valls, Jesús Malo:
Principal Polynomial Analysis. Int. J. Neural Syst. 24(7) (2014) - [c14]Naoufal Amrani, Valero Laparra, Gustavo Camps-Valls, Joan Serra-Sagristà, Jesús Malo:
Lossless coding of hyperspectral images with principal polynomial analysis. ICIP 2014: 4023-4026 - [c13]Valero Laparra, Jesus Malo, Gustavo Camps-Valls:
Dimensionality reduction via regression on hyperspectral infrared sounding data. WHISPERS 2014: 1-4 - 2013
- [j5]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): 981-985 (2013) - [c12]Sandra Jiménez, Valero Laparra, Jesús Malo:
Visual discrimination and adaptation using non-linear unsupervised learning. Human Vision and Electronic Imaging 2013: 86511I - [c11]Sandra Jiménez, Xavier Otazu, Valero Laparra, Jesús Malo:
Chromatic induction and contrast masking: similar models, different goals? Human Vision and Electronic Imaging 2013: 86511J - [c10]Vicent Talens, Valero Laparra, Jesus Malo, Gustavo Camps-Valls:
Kernel Structural SIMIlarity on hyperspectral images. IGARSS 2013: 1214-1217 - 2012
- [j4]Valero Laparra, Sandra Jiménez, Gustavo Camps-Valls, Jesús Malo:
Nonlinearities and Adaptation of Color Vision from Sequential Principal Curves Analysis. Neural Comput. 24(10): 2751-2788 (2012) - [c9]Emma Izquierdo-Verdiguier, Valero Laparra, Luis Gómez-Chova, Gustavo Camps-Valls:
Including invariances in SVM remote sensing image classification. IGARSS 2012: 7353-7356 - [c8]Valero Laparra, Devis Tuia, Sandra Jiménez, Gustavo Camps-Valls, Jesus Malo:
Nonlinear data description with Principal Polynomial Analysis. MLSP 2012: 1-6 - 2011
- [j3]Valero Laparra, Gustavo Camps-Valls, Jesus Malo:
Iterative Gaussianization: From ICA to Random Rotations. IEEE Trans. Neural Networks 22(4): 537-549 (2011) - [c7]Valero Laparra, Michael Gutmann, Jesús Malo, Aapo Hyvärinen:
Complex-Valued Independent Component Analysis of Natural Images. ICANN (2) 2011: 213-220 - [c6]Gustavo Camps-Valls, Valero Laparra, Jordi Muñoz-Marí, Luis Gómez-Chova, Xavier Calbet:
Kernel-based retrieval of atmospheric profiles from IASI data. IGARSS 2011: 2813-2816 - [c5]Valero Laparra, Devis Tuia, Sandra Jiménez, Gustavo Camps-Valls, Jesus Malo:
Principal polynomial analysis for remote sensing data processing. IGARSS 2011: 4180-4183 - 2010
- [j2]Valero Laparra, Jaime Gutierrez, Gustavo Camps-Valls, Jesús Malo:
Image Denoising with Kernels Based on Natural Image Relations. J. Mach. Learn. Res. 11: 873-903 (2010) - [j1]Jesús Malo, Valero Laparra:
Psychophysically Tuned Divisive Normalization Approximately Factorizes the PDF of Natural Images. Neural Comput. 22(12): 3179-3206 (2010) - [c4]Gustavo Camps-Valls, Devis Tuia, Valero Laparra, Jesús Malo:
Estimating biophysical variable dependences with kernels. IGARSS 2010: 828-831
2000 – 2009
- 2009
- [c3]Valero Laparra, Gustavo Camps-Valls, Jesús Malo:
PCA Gaussianization for image processing. ICIP 2009: 3985-3988 - [c2]Jesus Malo, Valero Laparra:
Visual Cortex Performs a Sort of Non-linear ICA. NOLISP 2009: 17-25 - 2008
- [c1]Valero Laparra, Jaime Gutierrez, Gustavo Camps-Valls, Jesus Malo:
Recovering wavelet relations using SVM for image denoising. ICIP 2008: 541-544
Coauthor Index
Gustau Camps-Valls
aka: Gustavo Camps-Valls
aka: Gustavo Camps-Valls
[j24] [j21] [j18] [j17] [i25] [i24] [j15] [j14] [i21] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [j13] [j12] [j11] [c32] [c31] [c29] [c28] [j10] [j9] [c27] [c25] [c24] [c22] [c21] [i6] [i5] [i4] [j7] [c17] [c15] [j6] [c14] [c13] [j5] [c10] [j4] [c9] [c8] [j3] [c6] [c5] [j2] [c4] [c3] [c1]
Jesús Malo
aka: Jesus Malo
aka: Jesus Malo
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