Rafael Molina

发表

Scalable and efficient learning from crowds with Gaussian processes

Aggelos K. Katsaggelos, Pablo Morales-Alvarez, Pablo Ruiz, 2019, Inf. Fusion.

Image prior combination in super-resolution image reconstruction

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2010, 2010 18th European Signal Processing Conference.

Variational Bayesian Image Restoration With a Product of Spatially Weighted Total Variation Image Priors

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Rafael Molina, 2010, IEEE Transactions on Image Processing.

¿Puede un videojuego ayudarnos a predecir los resultados de aprendizaje?

Rafael Molina, Patricia Compañ, Ana Illanas, 2014, CoSECivi.

Approximations of posterior distributions in blind deconvolution using variational methods

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2005, IEEE International Conference on Image Processing 2005.

Restoration of severely blurred high range images using stochastic and deterministic relaxation algorithms in compound Gauss?CMarkov random fields

Aggelos K. Katsaggelos, Rafael Molina, C. Andrew Segall, 2000, Pattern Recognit..

Compressive sensing of light fields

Aggelos K. Katsaggelos, Martin Luessi, Rafael Molina, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Restoration of severely blurred high range images using compound models

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

Learning from crowds with variational Gaussian processes

Aggelos K. Katsaggelos, Pablo Morales-Alvarez, Pablo Ruiz, 2019, Pattern Recognit..

Bayesian image restoration in astronomy: Application to images of the recent collision of comet shoemaker‐levy 9 with jupiter

Rafael Molina, Nicolas Pérez de la Blanca, Javier Mateos, 1995, Int. J. Imaging Syst. Technol..

Removal of Blocking Artifacts Using a Hierarchical Bayesian Approach

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 1998 .

Hyperparameter estimation for emission computed tomography data

Aggelos K. Katsaggelos, Rafael Molina, Antonio López, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

Bayesian TV denoising of SAR images

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2011, 2011 18th IEEE International Conference on Image Processing.

SYNTHESIS AND CLASSIFICATION OF 2-D SHAPES FROM THEIR LANDMARK POINTS

Rafael Molina, N. Pérez de la Blanca, Joaquin Fdez-Valdivia, 1992 .

Bayesian symmetrical EEG/fMRI fusion with spatially adaptive priors

Aggelos K. Katsaggelos, Martin Luessi, James R. Booth, 2011, NeuroImage.

Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2003, IbPRIA.

Bayesian Active Remote Sensing Image Classification

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2013 .

From Global to Local Bayesian Parameter Estimation in Image Restoration using Variational Distribution Approximations

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2007, 2007 IEEE International Conference on Image Processing.

Bayesian resolution enhancement of compressed video

Aggelos K. Katsaggelos, Rafael Molina, C. Andrew Segall, 2004, IEEE Transactions on Image Processing.

From images and signals to information in astronomy [Guest Editorial]

Rafael Molina, 2001 .

VIDEOIMAGERY TECHNIQUES AND MULTIVARIATED PARAMETER ANALYSIS TO DEFINE 3D MAPS OF VULNERABILITY

Rafael Molina, Rebeca Gómez, Carmen Castillo, 2010 .

Technological Ecosystem for Open Education

Rafael Molina, Patricia Compañ, Faraón Llorens-Largo, 2014, IDT/IIMSS/STET.

Total variation super resolution using a variational approach

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2008, 2008 15th IEEE International Conference on Image Processing.

A Variational Approach for Sparse Component Estimation and Low-Rank Matrix Recovery

Aggelos K. Katsaggelos, Rafael Molina, Zhaofu Chen, 2013, J. Commun..

Two Bayesian image restoration algorithms from partially-known blurs

Nikolas P. Galatsanos, Rafael Molina, Vladimir Z. Mesarovic, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

Self-supervised Fine-tuning for Correcting Super-Resolution Convolutional Neural Networks.

Aggelos K. Katsaggelos, Rafael Molina, Alice Lucas, 2019 .

A general multichannel image restoration method using compound models

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2002, Object recognition supported by user interaction for service robots.

High-resolution images from a sequence of low-resolution observations

Aggelos K. Katsaggelos, Rafael Molina, Luis Alvarez, 2004 .

Variational Gaussian process for multisensor classification problems

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2018, Pattern Recognit. Lett..

Compressive sampling with unknown blurring function: Application to passive millimeter-wave imaging

Aggelos K. Katsaggelos, Rafael Molina, Leonidas Spinoulas, 2012, 2012 19th IEEE International Conference on Image Processing.

Bayesian partial out-of-focus blur removal with parameter estimation

Aggelos K. Katsaggelos, Rafael Molina, Bruno Amizic, 2011, 2011 19th European Signal Processing Conference.

Space-variant blur deconvolution and denoising in the dual exposure problem

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2013, Inf. Fusion.

Multiframe blind deconvolution of passive millimeter wave images using variational dirichlet blur kernel estimation

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Variational Gaussian process for sensor fusion

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Variational Dirichlet Blur Kernel Estimation

Xu Zhou, Aggelos K. Katsaggelos, Fugen Zhou, 2015, IEEE Transactions on Image Processing.

Variational Bayesian causal connectivity analysis for fMRI

Aggelos K. Katsaggelos, Martin Luessi, James R. Booth, 2014, Front. Neuroinform..

High-resolution images from low-resolution compressed video

Aggelos K. Katsaggelos, Rafael Molina, C. A. Segall, 2003, IEEE Signal Process. Mag..

Ship operation and failure mode analysis using a maneuver simulator

Rafael Molina, Alberto Camarero, Miguel Angel Cabrerizo-Morales, 2013 .

Variational Bayesian compressive blind image deconvolution

Aggelos K. Katsaggelos, Rafael Molina, Leonidas Spinoulas, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Fast Bayesian blind deconvolution with Huber Super Gaussian priors

Xu Zhou, Aggelos K. Katsaggelos, Fugen Zhou, 2017, Digit. Signal Process..

Variational EM method for blur estimation using the spike-and-slab image prior

Aggelos K. Katsaggelos, Rafael Molina, Juan G. Serra, 2019, Digit. Signal Process..

Fast total variation image restoration with parameter estimation using bayesian inference

Aggelos K. Katsaggelos, Michael K. Ng, Rafael Molina, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

PMMW image super resolution from compressed sensing observations

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Image restoration by mixture modelling of an overcomplete linear representation

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Bayesian multichannel image restoration using compound Gauss-Markov random fields

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2003, IEEE Trans. Image Process..

Bayesian Reconstruction for Transmission Tomography with Scale Hyperparameter Estimation

Aggelos K. Katsaggelos, Rafael Molina, Antonio López, 2005, IbPRIA.

Robust Recovery of Temporally Smooth Signals From Under-Determined Multiple Measurements

Aggelos K. Katsaggelos, Rafael Molina, Zhaofu Chen, 2015, IEEE Transactions on Signal Processing.

Bayesian blind deconvolution from differently exposed image pairs

Aggelos K. Katsaggelos, Rafael Molina, Jingnan Wang, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Bayesian spatially adaptive EEG/fMRI fusion with application to a word rhyming task

Aggelos K. Katsaggelos, Martin Luessi, Rafael Molina, 2010 .

Statistical Methods in Learning

Rafael Molina, Ross D. King, C. C. Taylor, 1992, IPMU.

Bayesian classification and active learning using lp-priors. Application to image segmentation

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Spike and slab variational inference for blind image deconvolution

Aggelos K. Katsaggelos, Rafael Molina, Juan G. Serra, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Sparse Bayesian image restoration

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2010, 2010 IEEE International Conference on Image Processing.

ANALYSIS OF THE INFLUENCE OF THE DIFFERENT VARIABLES INVOLVED IN A DAMAGE PROGRESSION PROBABILITY MODEL

Rafael Molina, Carmen Castillo, Alvaro Campos, 2014 .

Super-Resolution of Multispectral Images

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2009, Comput. J..

Modern statistical techniques

Rafael Molina, N. Pérez de la Blanca, C. C. Taylor, 1995 .

Parameter estimation in Bayesian Blind Deconvolution with super Gaussian image priors

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Robust and Low-Rank Representation for Fast Face Identification With Occlusions

Aggelos K. Katsaggelos, Rafael Molina, Haohong Wang, 2016, IEEE Transactions on Image Processing.

Multichannel image restoration in astronomy

Rafael Molina, Javier Mateos, R. Molina, 1997 .

Super Resolution of Images and Video

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2006, Super Resolution of Images and Video.

Parameter Estimation in Bayesian Reconstruction of Multispectral Images using Super Resolution Techniques

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2006, 2006 International Conference on Image Processing.

Greedy Bayesian double sparsity dictionary learning

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Variational Bayesian inference image restoration using a product of total variation-like image priors

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Rafael Molina, 2010, 2010 2nd International Workshop on Cognitive Information Processing.

SPECT image reconstruction using compound models

Aggelos K. Katsaggelos, Rafael Molina, Antonio López, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Parameter estimation in Bayesian high-resolution image reconstruction with multisensors

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2003, IEEE Trans. Image Process..

Variational Bayesian Blind Deconvolution Using a Total Variation Prior

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2009, IEEE Transactions on Image Processing.

A survey of classical methods and new trends in pansharpening of multispectral images

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2011, EURASIP J. Adv. Signal Process..

INTERACTIVE CLASSIFICATION ORIENTED SUPERRESOLUTION OF MULTISPECTRAL IMAGES

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2011 .

Joint Data Filtering and Labeling Using Gaussian Processes and Alternating Direction Method of Multipliers

Aggelos K. Katsaggelos, Rafael Molina, Pablo Ruiz Matarán, 2016, IEEE Transactions on Image Processing.

Bayesian Reconstruction of Color Images Acquired with a Single CCD

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2005, IbPRIA.

Audiovisual Fusion: Challenges and New Approaches

Aggelos K. Katsaggelos, Rafael Molina, Sara Bahaadini, 2015, Proceedings of the IEEE.

Distance histogram to centroid as a unique feature to recognize objects

Rafael Molina, Maria Del Mar Pujol López, Ramón Rizo Aldeguer, 2006, VISAPP.

Generalized Gaussian Markov random field image restoration using variational distribution approximation

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Reduction of blocking artifacts in block transformed compressed color images

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

Estimation of High Resolution Images and Registration Parameters from Low Resolution Observations

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2004, CIARP.

Motion estimation in high resolution image reconstruction from compressed video sequences

Aggelos K. Katsaggelos, Rafael Molina, Luis D. Alvarez, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Blind Image Deconvolution: Problem formulation and existing approaches

Rafael Molina, Tony F. Chan, Tom E. Bishop, 2007 .

A method for invariant pattern recognition using the scale-vector representation of planar curves

Rafael Molina, Joaquín Fernández-Valdivia, Jose A. García, 1995, Signal Process..

Bayesian logistic regression with sparse general representation prior for multispectral image classification

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Bayesian high-resolution reconstruction of low-resolution compressed video

Aggelos K. Katsaggelos, Rafael Molina, C. Andrew Segall, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

Using Logarithmic Opinion Pooling Techniques in Bayesian Blind Multi-Channel Restoration

Aggelos K. Katsaggelos, Rafael Molina, Bruno Amizic, 2008, VISAPP.

Parameter estimation in regularized reconstruction of BDCT compressed images for reducing blocking artifacts

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 1996, Other Conferences.

Bayesian and regularization methods for hyperparameter estimation in image restoration

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 1999, IEEE Trans. Image Process..

DEVELOPMENT OF A TERMINAL OPERABILITY FORECASTING SYSTEM: ANALYSIS OF THE EFFECTS THAT WIND GENERATES OVER QUAY CRANES PERFORMANCE

Rafael Molina, Alberto Camarero, Rebeca Gómez, 2014 .

Super Resolution of Multispectral Images using ℓ1 Image Models and Interband Correlations

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2009, 2009 IEEE International Workshop on Machine Learning for Signal Processing.

Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods

Aggelos K. Katsaggelos, Rafael Molina, Alice Lucas, 2018, IEEE Signal Processing Magazine.

A Bayesian approach to blind deconvolution based on Dirichlet distributions

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Color image restoration using compound Gauss-Markov Random Fields

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2000, 2000 10th European Signal Processing Conference.

A general sparse image prior combination in Compressed Sensing

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Classification of multiple annotator data using variational Gaussian process inference

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Deep Gaussian processes for biogeophysical parameter retrieval and model inversion

Rafael Molina, Gustau Camps-Valls, Pablo Morales-Álvarez, 2020, ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing.

Compressive Blind Image Deconvolution

Aggelos K. Katsaggelos, Rafael Molina, Leonidas Spinoulas, 2013, IEEE Transactions on Image Processing.

A drone based system for surveillance applications in coastal zone

Rafael Molina, Antonio José Lozano Guerrero, Adrián Cantero, 2015 .

Compressed sensing super resolution of color images

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

3D Robot Mapping: Combining Active and Non Active Sensors in a Probabilistic Framework

Rafael Molina, Fidel Aznar Gregori, Mireia Sempere, 2005, CAEPIA.

Hierarchical Bayesian image restoration from partially known blurs

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Rafael Molina, 2000, IEEE Trans. Image Process..

High-resolution color image reconstruction from compressed video sequences

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2000, 2000 10th European Signal Processing Conference.

Light field acquisition from blurred observations using a programmable coded aperture camera

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

High Lift-to-Drag Re-entry Concepts For Space Transportation Missions

Rafael Molina, Thino Eggers, Davide Bonetti, 2009 .

Hierarchical Bayesian super resolution reconstruction of multispectral images

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2006, 2006 14th European Signal Processing Conference.

Combining Poisson singular integral and total variation prior models in image restoration

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2014, Signal Process..

Standard probe testing in European high enthalpy facilities

Rafael Molina, Herbert Olivier, James Merrifield, 2015 .

Super-Resolution from Compressed Video

Aggelos K. Katsaggelos, Rafael Molina, C. Andrew Segall, 2002 .

Bayesian image restoration using a wavelet-based subband decomposition

Aggelos K. Katsaggelos, Rafael Molina, Javier Abad, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

A cybernetic approach to the multiscale minimization of energy function: Grey level image segmentation

Rafael Molina, Patricia Compañ, Pilar Arques, 2002 .

Iterative image restoration using nonstationary priors.

Rafael Molina, Miguel Vega, Esteban Vera, 2013, Applied optics.

Image Models and Their Role in Image Processing. Some Multichannel Results.

Rafael Molina, Javier Mateos, 1997 .

Local Bayesian image restoration using variational methods and Gamma-Normal distributions

Aggelos K. Katsaggelos, Rafael Molina, Tom E. Bishop, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Transmission Tomography Reconstruction Using Compound Gauss-Markov Random Fields and Ordered Subsets

Aggelos K. Katsaggelos, Rafael Molina, Antonio López, 2006, ICIAR.

Variational Bayesian Blind Image Deconvolution: A review

Xu Zhou, Aggelos K. Katsaggelos, Pablo Ruiz, 2015, Digit. Signal Process..

Bayesian super-resolution of text image sequences from low resolution observations

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2003, Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings..

Compound Gauss-Markov random fields for astronomical image restoration

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 1996 .

Parameter Estimation in Bayesian Super-Resolution Image Reconstruction from Low Resolution Rotated and Translated Images

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2009, ACIVS.

Fully Automatic Blind Color Deconvolution of Histological Images Using Super Gaussians

Rafael Molina, Valery Naranjo, Aggelos K. Katsaggelos, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Guest Editorial

Aggelos K. Katsaggelos, Rafael Molina, A. Katsaggelos, 2009, Comput. J..

Image super-resolution from compressed sensing observations

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

A Bayesian Active Learning Framework for a Two-Class Classification Problem

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2011, MUSCLE.

Rainflow analysis in Coastal Engineering using switching second order Markov models

Rafael Molina, Enrique Castillo, Alfonso Fernández-Canteli, 2012 .

Hyperparameter estimation in image restoration problems with partially known blurs

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Rafael Molina, 2002 .

3D Reconstruction and Mapping from Stereo Pairs with Geometrical Rectification

Rafael Molina, Antonio-Javier Gallego, Patricia Compañ, 2007, BVAI.

Symmetrical EEG/FMRI fusion with spatially adaptive priors using variational distribution approximation

Aggelos K. Katsaggelos, Martin Luessi, James R. Booth, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Image deblurring combining poisson singular integral and total variation prior models

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Fast iteratively reweighted least squares for lp regularized image deconvolution and reconstruction

Xu Zhou, Aggelos K. Katsaggelos, Fugen Zhou, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Some Results on the Automatic Construction of Bayesian Networks

Rafael Molina, Silvia Acid, Antonio González, 1992 .

Hard Exudate Detection Using Local Texture Analysis and Gaussian Processes

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2018, ICIAR.

Super Resolution of Multispectral Images Using TV Image Models

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2008, KES.

Low-rank matrix completion by variational sparse Bayesian learning

Aggelos K. Katsaggelos, Martin Luessi, Rafael Molina, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

BAYESIAN SUPER-RESOLUTION OF IMAGES FROM LOW RESOLUTION OBSERVATIONS WITH UNKNOWN REGISTRATION PARAMETERS.

Aggelos K. Katsaggelos, Rafael Molina, J. Abad, 2003 .

Using machine learning to detect and localize concealed objects in passive millimeter-wave images

Rafael Molina, Nicolas Pérez de la Blanca, Santiago Lopez Tapia, 2018, Eng. Appl. Artif. Intell..

Study on Human Space Transportation Systems and Re-Entry Demonstrators

Rafael Molina, Marco Caporicci, Federico Massobrio, 2006 .

PHOEBUS: GNC Design and Performance Assessment for super orbital Re-Entry

Raffaele Savino, Rafael Molina, Rodolfo Monti, 2009 .

A novel iterative image restoration algorithm using nonstationary image priors

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2011, 2011 18th IEEE International Conference on Image Processing.

Bayesian combination of sparse and non-sparse priors in image super resolution

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2013, Digit. Signal Process..

On the Bayesian Approach to Learning

Rafael Molina, Silvia Acid, Antonio González, 1992 .

Retrieval of video clips with missing frames using sparse Bayesian reconstruction

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2011, 2011 7th International Symposium on Image and Signal Processing and Analysis (ISPA).

A Bayesian Super-Resolution Approach to Demosaicing of Blurred Images

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2006, EURASIP J. Adv. Signal Process..

Bayesian Compressive Sensing Using Laplace Priors

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2010, IEEE Transactions on Image Processing.

Automatic characterization of spiral and elliptical galaxies from digital images

Rafael Molina, Nicolas Pérez de la Blanca, Jose A. García, 1994, Pattern Recognit. Lett..

Flight Mechanics Support to the Selection of Candi...

Rafael Molina, Rodrigo Haya Ramos, Ulrich Thomas, 2005 .

Gated Recurrent Networks for Video Super Resolution

Rafael Molina, Aggelos K. Katsaggelos, Alice Lucas, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Bayesian SPECT Image Reconstruction with Scale Hyperparameter Estimation for Scalable Prior

Aggelos K. Katsaggelos, Rafael Molina, Antonio López, 2003, IbPRIA.

A Bayesian approach for the estimation and transmission of regularization parameters for reducing blocking artifacts

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2000, IEEE Trans. Image Process..

Converging Computing Methodologies in Astronomy: A European Science Foundation Scientific Network, 1995-1997

Vito Di Gesù, Rafael Molina, Fionn Murtagh, 1995 .

OPTIMIZING BREAKWATER DESIGN CONSIDERING THE SYSTEM OF FAILURE MODES

Rafael Molina, Carmen Castillo, Alvaro Campos, 2011 .

Development of a Vessel-Performance Forecasting System: Methodological Framework and Case Study

Rafael Molina, Alberto Camarero, Rebeca Gómez, 2016 .

Using the Kullback-Leibler divergence to combine image priors in Super-Resolution image reconstruction

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2010, 2010 IEEE International Conference on Image Processing.

Multichannel image restoration using compound Gauss-Markov random fields

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Simultaneous motion estimation and resolution enhancement of compressed low resolution video

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Nonstationary Blind Image Restoration using Variational Methods

Rafael Molina, Tom E. Bishop, James R. Hopgood, 2007, 2007 IEEE International Conference on Image Processing.

Image super-resolution for outdoor digital forensics. Usability and legal aspects

Aggelos K. Katsaggelos, Rafael Molina, Fionn Murtagh, 2018, Computers in industry (Print).

A non-stationary image prior combination in super-resolution

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2014, Digit. Signal Process..

Toward Dynamic Scene Understanding by Hierarchical Motion Pattern Mining

Zhongke Shi, Aggelos K. Katsaggelos, Rafael Molina, 2014, IEEE Transactions on Intelligent Transportation Systems.

Super resolution of multispectral images using locally adaptive models

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2007, 2007 15th European Signal Processing Conference.

Upsampling and denoising of depth maps via joint-segmentation

Aggelos K. Katsaggelos, Minh N. Do, Rafael Molina, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Reconstruction of high-resolution image frames from a sequence of low-resolution and compressed observations

Aggelos K. Katsaggelos, Rafael Molina, C. Andrew Segall, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Variational posterior distribution approximation in bayesian emission tomography reconstruction using a gamma mixture prior

Aggelos K. Katsaggelos, Rafael Molina, Antonio López, 2007, VISAPP.

Recovery of correlated sparse signals from under-sampled measurements

Aggelos K. Katsaggelos, Rafael Molina, Zhaofu Chen, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

A new super resolution Bayesian method for pansharpening Landsat ETM+ imagery

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2005 .

Fast millimeter wave threat detection algorithm

Aggelos K. Katsaggelos, Rafael Molina, Nicolas Pérez de la Blanca, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Overtopping hazards to port activities: Application of a new methodology to risk management (POrt Risk MAnagement Tool)

Rafael Molina, Carmen Castillo, Ana Alises, 2014, Reliab. Eng. Syst. Saf..

Hierarchical Bayesian approach to image restoration and the iterative evaluation of the regularization parameter

Aggelos K. Katsaggelos, Rafael Molina, R. Molina, 1994, Other Conferences.

Total Variation Image Restoration and Parameter Estimation using Variational Posterior Distribution Approximation

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2007, 2007 IEEE International Conference on Image Processing.

Rectified Reconstruction from Stereo Pairs and Robot Mapping

Rafael Molina, Antonio-Javier Gallego, Patricia Compañ, 2007, CAIP.

Hierarchical Bayesian image restoration from partially-known blurs

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Rafael Molina, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

A general sparse image prior combination in super-resolution

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2013, 2013 18th International Conference on Digital Signal Processing (DSP).

Prior Models and the Richardson-Lucy Restoration Method

Rafael Molina, Javier Mateos, J. Abad, 1994 .

Super resolution reconstruction of multispectral images

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2005 .

Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection

Rafael Molina, Adrián Colomer, Valery Naranjo, 2020, Comput. Methods Programs Biomed..

Restoration of Severely Blurred High Range Images Using Stochastic and Deterministic Relaxation Algorithms in Compound Gauss Markov Random Fields

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 1997, EMMCVPR.

Bayesian parameter estimation in image reconstruction from subsampled blurred observations

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Region-based super-resolution for compression

Aggelos K. Katsaggelos, Gustavo Marrero Callicó, Rafael Molina, 2007, Multidimens. Syst. Signal Process..

Bayesian Simultaneous Sparse Approximation With Smooth Signals

Aggelos K. Katsaggelos, Martin Luessi, Rafael Molina, 2013, IEEE Transactions on Signal Processing.

Parameter estimation in spike and slab variational inference for blind image deconvolution

Aggelos K. Katsaggelos, Rafael Molina, Juan G. Serra, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Bayesian high resolution image reconstruction with incomplete multisensor low resolution systems

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

A STATISTICAL MODEL FOR DAMAGE ACCUMULATION IN BREAKWATERS

Rafael Molina, Enrique Castillo, Carmen Castillo, 2011 .

Parameter estimation in super-resolution image reconstruction problems

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Learning with CASTLE

Luis M. de Campos, Rafael Molina, Nicolas Pérez de la Blanca, 1991, ECSQARU.

Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2008, IEEE Transactions on Image Processing.

Resolution enhancement of compressed low resolution video

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Detection and localization of objects in Passive Millimeter Wave Images

Rafael Molina, Nicolas Pérez de la Blanca, Santiago Lopez Tapia, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Video retrieval using sparse Bayesian reconstruction

Aggelos K. Katsaggelos, Zhu Li, Pablo Ruiz, 2011, 2011 IEEE International Conference on Multimedia and Expo.

Multi-channel Reconstruction of Video Sequences from Low-Resolution and Compressed Observations

Aggelos K. Katsaggelos, Rafael Molina, Luis D. Alvarez, 2003, CIARP.

Variational Gaussian process for missing label crowdsourcing classification problems

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Non-convex priors in Bayesian compressed sensing

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2009, 2009 17th European Signal Processing Conference.

On the Bayesian deconvolution of planets

Rafael Molina, Brian D. Ripley, Francisco J. Cortijo, 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis,.

Variational Bayesian Super Resolution

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2011, IEEE Transactions on Image Processing.

OPTIMIZATION OF OPERATIONALITY THRESHOLDS USING A MANEUVER SIMULATOR. CASE STUDY: FLOATING GATE AT CAMPAMENTO SHIPYARD

Rafael Molina, Alberto Camarero, Francisco de los Santos, 2012 .

Fast bayesian compressive sensing using Laplace priors

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Sparse Bayesian Methods for Low-Rank Matrix Estimation

Aggelos K. Katsaggelos, Martin Luessi, Rafael Molina, 2011, IEEE Transactions on Signal Processing.

SPECT Image Reconstruction Using Compound Prior Models

Aggelos K. Katsaggelos, Rafael Molina, Antonio López, 2002, Int. J. Pattern Recognit. Artif. Intell..

Bayesian Blind Deconvolution with General Sparse Image Priors

Aggelos K. Katsaggelos, Minh N. Do, Rafael Molina, 2012, ECCV.

Toward a new video compression scheme using super-resolution

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2006, Electronic Imaging.

GNC requirements of for a Long Range Hypersonic Transport System

Rafael Molina, Martin Sippel, Jordi Freixa, 2012 .

Learning filters in Gaussian process classification problems

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Blind restoration of blurred photographs via AR modelling and MCMC

Rafael Molina, Tom E. Bishop, James R. Hopgood, 2008, 2008 15th IEEE International Conference on Image Processing.

DETECTION OF SHIP PATHS ON DOCKING AND QUAY OCCUPATION ANALYSIS BASED ON A VIDEO-IMAGERY SYSTEM AS SUPPORT TO PORT MANAGEMENT

Rafael Molina, Alberto Camarero, Rebeca Gómez, 2012 .

Remote sensing segmentation through a filter bank based on Gabor functions

Rafael Molina, Jesús D. García-Consuegra, Guillermo Cisneros, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Combining observation models in dual exposure problems using the Kullback-Leibler divergence

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2010, 2010 18th European Signal Processing Conference.

Hyperparameter estimation using hyperpriors for hierarchical Bayesian image restoration from partially known blurs

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, Rafael Molina, 1998, Optics & Photonics.

Parameter estimation in total variation blind deconvolution

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2008, 2008 16th European Signal Processing Conference.

Hyperparameters estimation for the Bayesian localization of the EEG sources with TV priors

Aggelos K. Katsaggelos, Rafael Molina, Antonio López, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Image restoration in astronomy: a Bayesian perspective

Rafael Molina, Jose Luis Nunez, Javier Mateos, 2001, IEEE Signal Process. Mag..

Automated Recovery of Compressedly Observed Sparse Signals From Smooth Background

Aggelos K. Katsaggelos, Rafael Molina, Zhaofu Chen, 2014, IEEE Signal Processing Letters.

High‐resolution images from compressed low‐resolution video: Motion estimation and observable pixels

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2004, Int. J. Imaging Syst. Technol..

Space-variant kernel deconvolution for dual exposure problem

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2011, 2011 19th European Signal Processing Conference.

Simultaneous Bayesian compressive sensing and blind deconvolution

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Compressive Light Field Sensing

Aggelos K. Katsaggelos, Martin Luessi, Rafael Molina, 2012, IEEE Transactions on Image Processing.

Variational Bayesian Methods For Multimedia Problems

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2014, IEEE Transactions on Multimedia.

Compressive Sensing and Blind Image Deconvolution

Aggelos K. Katsaggelos, Rafael Molina, Leonidas Spinoulas, 2013 .

Deep learning approaches to inverse problems in imaging: Past, present and future

Aggelos K. Katsaggelos, Rafael Molina, Santiago López-Tapia, 2021, Digit. Signal Process..

Activation-level uncertainty in deep neural networks

Daniel Hernández-Lobato, Pablo Morales-Alvarez, Rafael Molina, 2021, ICLR.

A Contribution to Deep Learning Approaches for Automatic Classification of Volcano-Seismic Events: Deep Gaussian Processes

Rafael Molina, Luz García, Carmen Benítez, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Combining Attention-based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection

Aggelos K. Katsaggelos, Rafael Molina, Yunan Wu, 2021, bioRxiv.

Image prior combination in space-variant blur deconvolution for the dual exposure problem

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2011, 2011 7th International Symposium on Image and Signal Processing and Analysis (ISPA).

Image prior combination in super-resolution image registration & reconstruction

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2010, 2010 IEEE International Workshop on Machine Learning for Signal Processing.

Super-Resolution of Multispectral Images

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2007, Comput. J..

Estimating and transmitting regularization parameters for reducing blocking artifacts

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 1997, Proceedings of 13th International Conference on Digital Signal Processing.

3.7 – Multichannel Image Recovery

Rafael Molina, Rafael Molina, Aggelos K. Katsaggelos, 2005 .

L1 prior majorization in Bayesian image restoration

Aggelos K. Katsaggelos, Rafael Molina, Miguel Vega, 2009, 2009 16th International Conference on Digital Signal Processing.

NON-SUPERVISED CHARACTERIZATION OF GALAXIES USING DIFFERENT APPROACHES

Rafael Molina, N. Pérez de la Blanca, J. A. García, 1992 .