Javier Mateos

87 papers B 12C 3Misc 6Journal 33Unranked 31
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bridging the synthetic-to-real gap in single image dehazing.
Digit. Signal Process.
Stepan Babayan, Francisco Javier Sáez-Maldonado, Javier Mateos, Rafael Molina
2026 J jnl
WOTS-Tree: Merkle-Optimized Winternitz Signatures for Post-Quantum Bitcoin.
IACR Cryptol. ePrint Arch.
Javier Mateos
2025 — conf
Variational Bayesian Dehazing With Atmospheric Scattering Model for Synthetic-to-Real Generalization.
ICIPW
Stepan Babayan, Francisco Javier Sáez-Maldonado, Javier Mateos, Rafael Molina
2024 B conf
Bayesian Blind Image Deconvolution using an Hyperbolic-Secant prior.
ICIP
Francisco M. Castro-Macías, Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2024 — conf
Blind Color Deconvolution and Classification of Histological Images Using the Hyperbolic Secant Prior.
ISBI
Francisco M. Castro-Macías, Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2024 — conf
Deep Learning Applied to Automated Visual Defect Detection for Wind Towers Painting Process.
DSA ISC (1)
Joan Lario, Natalia P. García-de-la-Puente, Javier Mateos, Salih Aksu
2024 — conf
Deployment Key Performance Indicators for Sustainable Manufacturing.
I-ESA Workshops
Joan Lario, Javier Mateos, Sena Karadag, Shashank Goyal
2024 — conf
Deployment of AI technologies in Wind Energy Industry Sector.
I-ESA Workshops
Javier Mateos, Natalia P. García-de-la-Puente, Eric López, Joan Lario
2024 — conf
Predictive Maintenance for CNC Machines: Empowering Operators with Real-Time Insights.
DSA ISC (1)
Miguel A. Mateo-Casalí, Javier Mateos, Faustino Alarcón, Francisco Fraile
2024 J jnl
The CrowdGleason dataset: Learning the Gleason grade from crowds and experts.
Comput. Methods Programs Biomed.
Miguel López-Pérez, Alba Morquecho, Arne Schmidt, Fernando Pérez-Bueno, Aurelio Martín-Castro, Javier Mateos, Rafael Molina
2023 J jnl
Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset.
Artif. Intell. Medicine
Rocío del Amor, Jose Pérez-Cano, Miguel López-Pérez, Liria Terradez, José Aneiros-Fernández, Sandra Morales, Javier Mateos, Rafael Molina, Valery Naranjo
2023 C conf
Collaborative Network for the Development of Non-Destructive Inspection Technologies: Elicitation Requirements in an Industrial Environment.
PRO-VE
Joan Lario, Javier Mateos, Raul Poler, Ángel Ortiz
2023 B conf
Deep Robust Image Restoration Using the Moore-Penrose Blur Inverse.
ICIP
Santiago López-Tapia, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2023 J jnl
Learning Moore-Penrose based residuals for robust non-blind image deconvolution.
Digit. Signal Process.
Santiago López-Tapia, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2022 J jnl
Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification.
Comput. Medical Imaging Graph.
Fernando Pérez-Bueno, Juan G. Serra, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2022 J jnl
Temperature and Gate-Length Dependence of Subthreshold RF Detection in GaN HEMTs.
Sensors
Gaudencio Paz-Martínez, Ignacio Iñiguez-de-la-Torre, Héctor Sánchez-Martín, José Antonio Novoa-López, Virginie Hoel, Yvon Cordier, Javier Mateos, Tomás González
2020 J jnl
A TV-based image processing framework for blind color deconvolution and classification of histological images.
Digit. Signal Process.
Fernando Pérez-Bueno, Miguel López-Pérez, Miguel Vega, Javier Mateos, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
2020 J jnl
Variational Bayesian Blind Color Deconvolution of Histopathological Images.
IEEE Trans. Image Process.
Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2020 J jnl
Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors.
Sensors
Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2019 — conf
Variational Bayes Color Deconvolution with a Total Variation Prior.
EUSIPCO
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2019 J jnl
Variational EM method for blur estimation using the spike-and-slab image prior.
Digit. Signal Process.
Juan G. Serra, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2018 B conf
Blind Color Deconvolution of Histopathological Images Using a Variational Bayesian Approach.
ICIP
Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2018 — conf
Fully Automated Blind Color Deconvolution of Histopathological Images.
MICCAI (2)
Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2018 J jnl
Image super-resolution for outdoor digital forensics. Usability and legal aspects.
Comput. Ind.
Salvador Villena, Miguel Vega, Javier Mateos, Duska Rosenberg, Fionn Murtagh, Rafael Molina, Aggelos K. Katsaggelos
2017 C conf
A high performance Full Adder based on Ballistic Deflection Transistor technology.
ISCAS
Poorna Marthi, Nazir Hossain, Huan Wang, Jean-François Millithaler, Martin Margala, Ignacio Iñiguez-de-la-Torre, Javier Mateos, Tomás González
2017 — conf
Parameter estimation in spike and slab variational inference for blind image deconvolution.
EUSIPCO
Juan G. Serra, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2017 B conf
Spike and slab variational inference for blind image deconvolution.
ICIP
Juan G. Serra, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2016 J jnl
Design and Analysis of High Performance Ballistic Nanodevice-Based Sequential Circuits Using Monte Carlo and Verilog AMS Simulations.
IEEE Trans. Circuits Syst. I Regul. Pap.
Poorna Marthi, Nazir Hossain, Huan Wang, Jean-François Millithaler, Martin Margala, Ignacio Iñiguez-de-la-Torre, Javier Mateos, Tomás González
2016 — conf
Modeling and Study of Two-BDT-Nanostructure based Sequential Logic Circuits.
ACM Great Lakes Symposium on VLSI
Poorna Marthi, Sheikh Rufsan Reza, Nazir Hossain, Jean-François Millithaler, Martin Margala, Ignacio Iñiguez-de-la-Torre, Javier Mateos, Tomás González
2016 B conf
Multiframe blind deconvolution of passive millimeter wave images using variational dirichlet blur kernel estimation.
ICIP
Javier Mateos, Antonio López, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2015 J jnl
Variational Bayesian Blind Image Deconvolution: A review.
Digit. Signal Process.
Pablo Ruiz, Xu Zhou, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2015 J jnl
Variational Dirichlet Blur Kernel Estimation.
IEEE Trans. Image Process.
Xu Zhou, Javier Mateos, Fugen Zhou, Rafael Molina, Aggelos K. Katsaggelos
2014 J jnl
Bayesian Active Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Pablo Ruiz, Javier Mateos, Gustavo Camps-Valls, Rafael Molina, Aggelos K. Katsaggelos
2014 J jnl
Combining Poisson singular integral and total variation prior models in image restoration.
Signal Process.
Pablo Ruiz, Hiram Madero Orozco, Javier Mateos, Osslan Osiris Vergara-Villegas, Rafael Molina, Aggelos K. Katsaggelos
2014 B conf
Learning filters in Gaussian process classification problems.
ICIP
Pablo Ruiz, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2013 — conf
Image deblurring combining poisson singular integral and total variation prior models.
EUSIPCO
Hiram Madero Orozco, Pablo Ruiz, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2013 — ch.
Interactive Pansharpening and Active Classification in Remote Sensing.
Multimodal Interaction in Image and Video Applications
Pablo Ruiz, Javier Mateos, Gustavo Camps-Valls, Rafael Molina, Aggelos K. Katsaggelos
2013 — conf
Light field acquisition from blurred observations using a programmable coded aperture camera.
EUSIPCO
Pablo Ruiz, Javier Mateos, María C. Cárdenas, Shinichi Nakajima, Rafael Molina, Aggelos K. Katsaggelos
2013 J jnl
Space-variant blur deconvolution and denoising in the dual exposure problem.
Inf. Fusion
Miguel Tallon, Javier Mateos, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2012 — conf
Upsampling and denoising of depth maps via joint-segmentation.
EUSIPCO
Miguel Tallon, S. Derin Babacan, Javier Mateos, Minh N. Do, Rafael Molina, Aggelos K. Katsaggelos
2011 — conf
A Bayesian Active Learning Framework for a Two-Class Classification Problem.
MUSCLE
Pablo Ruiz, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2011 J jnl
A survey of classical methods and new trends in pansharpening of multispectral images.
EURASIP J. Adv. Signal Process.
Israa Amro, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2011 B conf
Bayesian TV denoising of SAR images.
ICIP
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2011 C conf
Image prior combination in space-variant blur deconvolution for the dual exposure problem.
ISPA
Miguel Tallon, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2011 B conf
Parameter estimation in Bayesian super-resolution pansharpening using contourlets.
ICIP
Israa Amro, Javier Mateos, Miguel Vega
2011 — conf
Parameter estimation in the general contourlet pansharpening method using Bayesian inference.
EUSIPCO
Israa Amro, Javier Mateos, Miguel Vega
2011 — conf
Space-variant kernel deconvolution for dual exposure problem.
EUSIPCO
Miguel Tallon, Javier Mateos, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2011 J jnl
Super Resolution of Multispectral Images using ℓ1 Image Models and Interband Correlations.
J. Signal Process. Syst.
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2010 B conf
Bayesian super-resolution pansharpening using contourlets.
ICIP
Israa Amro, Javier Mateos, Miguel Vega
2010 — conf
Combining observation models in dual exposure problems using the Kullback-Leibler divergence.
EUSIPCO
Miguel Tallon, Javier Mateos, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2010 — conf
General contourlet pansharpening method using Bayesian inference.
EUSIPCO
Israa Amro, Javier Mateos, Miguel Vega
2009 B conf
Local Bayesian image restoration using variational methods and Gamma-Normal distributions.
ICIP
Javier Mateos, Tom E. Bishop, Rafael Molina, Aggelos K. Katsaggelos
2009 J jnl
Super-Resolution of Multispectral Images.
Comput. J.
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2008 — conf
Super Resolution of Multispectral Images Using TV Image Models.
KES (3)
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2007 — book
Super Resolution of Images and Video
Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos
2007 — conf
Super resolution of multispectral images using locally adaptive models.
EUSIPCO
Rafael Molina, Javier Mateos, Miguel Vega, Aggelos K. Katsaggelos
2006 J jnl
Blind Deconvolution Using a Variational Approach to Parameter, Image, and Blur Estimation.
IEEE Trans. Image Process.
Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos
2006 — conf
Hierarchical Bayesian super resolution reconstruction of multispectral images.
EUSIPCO
Rafael Molina, Miguel Vega, Javier Mateos, Aggelos K. Katsaggelos
2006 B conf
Parameter Estimation in Bayesian Reconstruction of Multispectral Images using Super Resolution Techniques.
ICIP
Rafael Molina, Miguel Vega, Javier Mateos, Aggelos K. Katsaggelos
2005 — conf
Approximations of posterior distributions in blind deconvolution using variational methods.
ICIP (2)
Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2004 J jnl
Bayesian resolution enhancement of compressed video.
IEEE Trans. Image Process.
C. Andrew Segall, Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos
2004 J jnl
High-resolution images from compressed low-resolution video: Motion estimation and observable pixels.
Int. J. Imaging Syst. Technol.
Luis D. Alvarez, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2003 Misc conf
Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images.
IbPRIA
Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2003 — conf
Bayesian high resolution image reconstruction with incomplete multisensor low resolution systems.
ICASSP (3)
Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2003 J jnl
Bayesian multichannel image restoration using compound Gauss-Markov random fields.
IEEE Trans. Image Process.
Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos, Miguel Vega
2003 — conf
Bayesian parameter estimation in image reconstruction from subsampled blurred observations.
ICIP (2)
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2002 — conf
A General Multichannel Image Restoration Method Using Compound Models.
ICPR (3)
Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos, Miguel Vega
2002 Misc conf
Reconstruction of high-resolution image frames from a sequence of low-resolution and compressed observations.
ICASSP
C. Andrew Segall, Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos
2002 J jnl
SPECT Image Reconstruction Using Compound Prior Models.
Int. J. Pattern Recognit. Artif. Intell.
Antonio López, Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos
2001 — conf
Bayesian high-resolution reconstruction of low-resolution compressed video.
ICIP (2)
Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos, C. Andrew Segall
2001 J jnl
Image restoration in astronomy: a Bayesian perspective.
IEEE Signal Process. Mag.
Rafael Molina, Jorge Núñez, Francisco J. Cortijo, Javier Mateos
2001 J jnl
Langevin Forces and Generalized Transfer Fields for Noise Modelling in Deep Submicron Devices.
VLSI Design
Pavel Shiktorov, Evjeni Starikov, Viktor Gruzinskis, Tomás González, Javier Mateos, Daniel Pardo, Luca Reggiani, Luca Varani, Jean Claude Vaissière
2001 J jnl
Monte Carlo simulation of electronic characteristics in short channel δ-doped AlInAs/GaInAs HEMTs.
Microelectron. Reliab.
Javier Mateos, Tomás González, Daniel Pardo, Virginie Hoel, Alain Cappy
2001 Misc conf
SPECT image reconstruction using compound models.
ICASSP
Antonio López, Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos
2000 J jnl
A Bayesian approach for the estimation and transmission of regularization parameters for reducing blocking artifacts.
IEEE Trans. Image Process.
Javier Mateos, Aggelos K. Katsaggelos, Rafael Molina
2000 — conf
Color image restoration using compound Gauss-Markov Random Fields.
EUSIPCO
Javier Mateos, Aggelos K. Katsaggelos, Rafael Molina
2000 — conf
High-resolution color image reconstruction from compressed video sequences.
EUSIPCO
Javier Mateos, Aggelos K. Katsaggelos, Rafael Molina
2000 Misc conf
Multichannel image restoration using compound Gauss-Markov random fields.
ICASSP
Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos
2000 Misc conf
Resolution enhancement of compressed low resolution video.
ICASSP
Javier Mateos, Aggelos K. Katsaggelos, Rafael Molina
2000 J jnl
Restoration of severely blurred high range images using stochastic and deterministic relaxation algorithms in compound Gauss?CMarkov random fields.
Pattern Recognit.
Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos, Aurora Hermoso, C. Andrew Segall
2000 B conf
Simultaneous Motion Estimation and Resolution Enhancement of Compressed low Resolution Video.
ICIP
Javier Mateos, Aggelos K. Katsaggelos, Rafael Molina
1999 J jnl
Bayesian and regularization methods for hyperparameter estimation in image restoration.
IEEE Trans. Image Process.
Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos
1998 — conf
Reduction of Blocking Artifacts in Block Transformed Compressed Color Images.
ICIP (1)
Javier Mateos, Carlos Ilia Herráiz Montalvo, Blas C. Ruiz Jiménez, Rafael Molina, Aggelos K. Katsaggelos
1997 Misc conf
A Bayesian approach to blind deconvolution based on Dirichlet distributions.
ICASSP
Rafael Molina, Aggelos K. Katsaggelos, Javier Abad, Javier Mateos
1997 — conf
Restoration of Severely Blurred High Range Images Using Stochastic and Deterministic Relaxation Algorithms in Compound Gauss Markov Random Fields.
EMMCVPR
Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos, Aurora Hermoso
1996 — conf
Restoration of severely blurred high range images using compound models.
ICIP (2)
Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos, Javier Abad
1995 J jnl
Bayesian image restoration in astronomy: Application to images of the recent collision of comet shoemaker-levy 9 with jupiter.
Int. J. Imaging Syst. Technol.
Rafael Molina, Javier Mateos, Javier Abad, Nicolas Pérez de la Blanca, A. Molina, Fernando Moreno