Journal Papers
- S. López Tapia, R. Molina, and N. Pérez de la Blanca, “Deep CNNs for Object Detection using Passive Millimeter Sensors”, IEEE Transactions on Circuits and Systems for Video Technology, 2018. [BibTeX entry] (Accepted for publication).
-
S. Villena, M. Vega, J. Mateos, D. Rosenberg, F. Murtagh, R. Molina, and A.K. Katsaggelos, “Image super-resolution for outdoor digital forensics. Usability and legal aspects”, Computers in Industry, vol. 98, 34-47, June 2018. [BibTeX entry][Abstract][
(4213 KB.)]
-
P. Morales, A. Pérez-Suay, R. Molina, and G. Camps-Valls, “Remote Sensing Image Classification with Large Scale Gaussian Processes”, IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 2, 1103-1114, 2018. [BibTeX entry][
(3614 KB.)]
-
S. López Tapia, R. Molina, and N. Pérez de la Blanca, “Detection and Localization of Concealed Objects in Passive Millimeter Images”, Engineering Applications of Artificial Intelligence, vol. 67, 81-90, 2018. [BibTeX entry][
(3746 KB.)]
- A. Lucas, M. Iliadis, R. Molina, and A.K. Katsaggelos, “Using Deep Neural Networks for Inverse Problems in Imaging”, Signal Processing Magazine, vol. 35, no. 1, 20-36, 2018. [BibTeX entry][
(2903 KB.)]
-
J.G. Serra, M. Testa, R. Molina, and A.K. Katsaggelos, “Bayesian K-SVD Using Fast Variational Inference”, IEEE Transactions on Image Processing, vol. 26, no. 7, 3344-3348, July 2017. [BibTeX entry][Abstract][
(3247 KB.)]
-
X. Zhou, M. Vega, F. Zhou, R. Molina, and A. K. Katsaggelos, “Fast Bayesian Blind Deconvolution with Huber Super Gaussian Priors”, Digital Signal Processing, vol. 60, 122-133, 2017. [BibTeX entry][
(3778 KB.)]
-
M. Iliadis, H. Wang, R. Molina, and A.K. Katsaggelos, “Robust and Low-Rank Representation for Fast Face Identification with Occlusions”, IEEE Transactions on Image Processing, vol. 26, no. 5, 2203-2218, May 2017. [BibTeX entry][
(5918 KB.)]
-
W. Saafin, S. Villena, M. Vega, R. Molina, and A.K. Katsaggelos, “Compressive Sensing Super Resolution from Multiple Observations with Application to Passive Millimeter Wave Images”, Digital Signal Processing, vol. 50, 180-190, 2016. [BibTeX entry][

-
P. Ruiz, R. Molina, and A.K. Katsaggelos, “Joint Data Filtering and Labeling using Gaussian Processes and Alternating Direction Method of Multipliers”, IEEE Transactions on Image Processing, vol. 25, no. 7, 3059-3072, July 2016. [BibTeX entry][Abstract][
(1614 KB.)]
- A.K. Katsaggelos, S. Bahaadini, and R. Molina, “Audio-visual Fusion: Challenges and New Technologies”, IEEE Proceedings, 2015. [BibTeX entry][Abstract][
(1884 KB.)]
- P. Ruiz, X. Zhou, J. Mateos, R. Molina, and A.K. Katsaggelos, “Variational Bayesian Blind Image Deconvolution: A Review”, Digital Signal Processing, 2015. [BibTeX entry][Abstract][
(3198 KB.)]
- X. Zhou, J. Mateos, F. Zhou, R. Molina, and A.K. Katsaggelos, “Variational Dirichlet Blur Kernel Estimation”, IEEE Transactions on Image Processing, 2015. [BibTeX entry][Abstract][
(2936 KB.)] [Software]
- Z. Chen, R. Molina, and A.K. Katsaggelos, “Robust Recovery of Temporally Smooth Signals from Under-Determined Multiple Measurements”, IEEE Transactions on Signal Processing, vol. 63, no. 7, 1779-1791, April 2015. [BibTeX entry][
(2437 KB.)]
Invited Conferences
- R. Molina, “Probabilistic Modelling of Crowdsourcing Problems and Applications to Large Biomed Datasets (invited talk)” in Quantitative Biomedicine for Health and Disease (http://www.bcamath.org/es/workshops/qbio2016), Bilbao (Spain), February 2016. [BibTeX entry]
- R. Molina, “Algoritmos aplicados a Seguridad (invited talk)” in Nuevos retos tecnológicos para la seguridad de las infraestructuras http://www.itainnova.es/actualidad/eventos/nuevos-retos-tecnologicos-para-la-seguridad-de-las-infraestructuras, Zaragoza (Spain), 2016. [BibTeX entry]
Conference Papers
-
P. Morales, A. Pérez-Suay, R. Molina, and G. Camps-Valls, “Efficient Remote Sensing Image Classification with Gaussian Processes and Fourier Features” in IEEE International Geoscience And Remote Sensing Symposium, vol. DOI: 10.1109/IGARSS.2017.8127431, Fort Worth, Texas (USA), July 2017. [BibTeX entry][Abstract][
(1218 KB.)]
-
J.G. Serra, J. Mateos, R. Molina, and A.K. Katsaggelos, “Parameter Estimation in Spike and Slab Variational Inference for Blind Image Deconvolution” in European Signal Processing Conference (EUSIPCO 2017), 1540-1544, Kos (Greece), August 2017. [BibTeX entry][Abstract][
(8829 KB.)]
-
W. Saafin, G. Schaefer, M. Vega, R. Molina, and A. Katsagelos, “Image Fusion of unregistered colour digital pathology images” in Irish Machine Vision and Image Processing Conference, August 2017. [BibTeX entry][
(2378 KB.)]
-
J.G. Serra, J. Mateos, R. Molina, and A.K. Katsaggelos, “Spike and Slab Variational Inference for Blind Image Deconvolution” in IEEE International Conference on Image Processing (ICIP 2017), 3765-3769, Beijing (China), September 2017. [BibTeX entry][Abstract][
(9057 KB.)]
-
J.G. Serra, S. Villena, R. Molina, and A.K. Katsaggelos, “Greedy Bayesian Double Sparsity Dictionary Learning” in IEEE International Conference on Image Processing (ICIP 2017), 1935-1939, Beijing (China), September 2017. [BibTeX entry][Abstract][
(786 KB.)]
-
P. Morales, A. Pérez-Suay, R. Molina, G. Camps-Valls, and A.K. Katsaggelos, “Passive Millimeter Wave Image Classification with Large Scale Gaussian Processes” in IEEE International Conference on Image Processing (ICIP), 370-374, Beijing (China), September 2017. [BibTeX entry][Abstract][
(748 KB.)]
-
E. Besler, P. Ruiz, R. Molina, and A.K. Katsaggelos, “Classification of Multiple Annotator Data Using Variational Gaussian Process Inference” in European Signal Processing Conference (EUSIPCO 2016), 2016. [BibTeX entry][
(317 KB.)]
-
J.G. Serra, P. Ruiz, R. Molina, and A.K. Katsaggelos, “Bayesian Logistic Regression with sparse general representation prior for multispectral image classification” in IEEE International Conference on Image Processing (ICIP 2016), Phoenix, Arizona (USA), 2016. [BibTeX entry][
(532 KB.)]
-
S. López Tapia, R. Molina, and N. Pérez de la Blanca, “Detection and Localization of Objects in Passive Millimeter Wave Images” in European Signal Processing Conference (EUSIPCO 2016), 2101-2105, Budapest (Hungría), August 2016. [BibTeX entry][
(1429 KB.)]
-
W. Saafin, M. Vega, R. Molina, and A.K. Katsaggelos, “Compressed Sensing Super Resolution of Color Images” in European Signal Processing Conference (EUSIPCO 2016), 801-805, Budapest (Hungary), August 2016. [BibTeX entry][Abstract][
(1276 KB.)]
-
J. Mateos, A. López, M. Vega, R. Molina, and A.K. Katsaggelos, “Multiframe blind deconvolution of passive millimeter wave images using variational Dirichlet blur kernel estimation” in IEEE International Conference on Image Processing, 2678-2682, Phoenix, Arizona (USA), September 2016. [BibTeX entry][Abstract][
(313 KB.)]
-
P. Ruiz, E. Besler, R. Molina, and A.K. Katsaggelos, “Variational Gaussian Process for Missing Label Crowdsourcing Classification Problems (invited talk)” in 2016 IEEE International Workshop on Machine Learning for Signal Processing (MLSP2016), 1-6, Vietri Sul Mare, Salerno (Italy), September 2016. [BibTeX entry][
(237 KB.)]
-
W. Saafin, M. Vega, R. Molina, and A.K. Katsaggelos, “Image Super-Resolution from Compressed Sensing Observations” in IEEE International Conference on Image Processing (ICIP 2015), Quebec( Canada), September 2015. [BibTeX entry][
(192 KB.)]
-
W. Saafin, S. Villena, M. Vega, R. Molina, and A.K. Katsaggelos, “PMMW Image Super resolution from Compressed Sensing Observations” in European Signal Processing Conference (EUSIPCO 2015), Nice (France), September 2015. [BibTeX entry][
(405 KB.)]
-
N. Rohani, P. Ruiz, E. Besler, R. Molina, and A.K. Katsaggelos, “Variational Gaussian Process for Sensor Fusion” in 23rd European Signal Processing Conference (EUSIPCO), 170-174, Nice (France), September 2015. [BibTeX entry][
(314 KB.)]
-
I. Gómez Maqueda, N. Pérez de la Blanca, R. Molina, and A.K. Katsaggelos, “Fast Millimetre Wave Threat detection algorithm” in European Signal Processing Conference (EUSIPCO 2015), 599-603, Nice (France), September 2015. [BibTeX entry][Abstract][
(770 KB.)]
Book chapters
- Z. Chen, R. Molina, and A.K. Katsaggelos, “A Variational Approach for Sparse Component Estimation and Low-Rank Matrix Recovery”, in Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing, T. Bouwmans , N.S. Aybat , and E. Zahzah (ed.), ch. 14, 1stedition, Chapman and Hall/CRC, September 2016. [BibTeX entry]