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Pardàs M, Salembier P, Marqués F, Morros JR. Partition tree for a segmentation-based video coding system. In IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1996. Atlanta (GA), USA; 1996. pp. 1982–1985.  (196.06 KB)
Pardàs M. Segmentación Morfológica de Secuencias de Imágenes: Aplicación a la Codificación. Salembier P. Universitat Politècnica de Catalunya (UPC); 1995.
Pardàs M, Salembier P. Segmentation of video sequences for partition tree generation. Annales des télecommunications. Annals of telecommunications. 1997;52:389–396.
Pardàs M, Bonafonte A, Landabaso J-L. Emotion recognition based on MPEG-4 facial animation parameters. In IEEE International Conference on Acoustics, Speech, and Signal Processing. 2002. pp. 3624–3627.
Pardàs M, Pandzic I, Cannella M, Davoine F, Forchheimer R, Lavagetto F, et al.. The InterFace Software Platform for Interactive Virtual Characters. In Mpeg-4 facial animation: the standard, implementation and applications. 2004. pp. 169–183.
Pardàs M. Automatic Face Analysis for Model Calibration. In International Workshop on Synthetic and natural hybrid coding and three dimensional imaging. 1999. pp. 12–15.
Pardàs M, Salembier P, Gonzalez B. Motion region overlapping for segmentation-based video coding. In International Conference on Image Processing, ICIP'94. Austin, Texas; 1994. pp. 428–431.
Pardàs M, Bonafonte A. Facial animation parameters extraction and expression recognition using Hidden Markov Models. Signal processing: image communication. 2002;:675–688.
Pardàs M, Bonafonte A. Facial Animation Parameters extraction and Expression detection using HMM. In International Conference on Augmented, Virtual Environments and 3D Imaging. 2001. pp. 120–123.
Pardàs M, Torres L. Connectivity filters for image sequences. In IMAGE ALGEBRA AND MORPHOLOGICAL IMAGE PROCESSING. SPIE. 1992. pp. 318–329.
Pardàs M, Salembier P, Ayuso X, Martí E. Video coding method and corresponding coding and decoding systems. 1997.
Pardàs M. Extraction and tracking of the eyelids. In International Conference on Acoustics, Speech and Signal Processing. 2000.
Pardàs M, Salembier P. 3D morphological segmentation and motion estimation for image sequences. In International Symposium on Mathematical Morphology and its applications to image and signal processing, ISMM 1993. Barcelona, Spain; 1993. pp. 58–63.
Pareto D, Vidal P, Alberich M, Lopez C, Auger C, Tintoré M, et al.. Prediction of a second clinical event in CIS patients by combining lesion and brain features. In Congress of the European Comitee for Treatment and Research in Multiple Sclerosis (ECTRIMS 2019). 2019.
Pedersen TSunn, et al, Casas J, Salembier P. Experimental confirmation of efficient island divertor operation and successful neoclassical transport optimization in Wendelstein 7-X. Nuclear Fusion. 2022;62(4).  (2.24 MB)
Pelegrí JBustos. Clasificación de imágenes histológicas mediante redes neuronales convolucionales. Combalia M, Vilaplana V. 2018.
Perera M. Ancestry-conditioned Generative Models for Genotyping. Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. 2022 .
Perez-Cano J, Valero ISansano, Anglada D, Pina O, Salembier P, Marqués F. Combining graph neural networks and computer vision methods for cell nuclei classification in lung tissue. Heliyon. 2024;10(7).  (4.05 MB)
Pérez-Granero P. 2D to 3D body pose estimation for sign language with Deep Learning. McGuinness K, Giró-i-Nieto X. 2020.  (2.97 MB)
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. Antipodally Invariant Metrics For Fast Regression-Based Super-Resolution. IEEE Transactions on Image Processing. 2016;25(6):2468.  (5.48 MB)
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. Method for upscaling an image and apparatus for upscaling an image. US 20170132759 A1; 2018.
Perez-Pellitero E. Manifold Learning for Super Resolution. Rosenhahn B, Ruiz-Hidalgo J. [Hannover]: Leibniz Universität Hannover; 2017.  (18.6 MB)
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. Bayesian region selection for adaptive dictionary-based Super-Resolution. In British Machine Vision Conference. 2013.  (2.59 MB)
Perez-Pellitero E, Salvador J, Torres-Xirau I, Ruiz-Hidalgo J, Rosenhahn B. Fast Super-Resolution via Dense Local Training and Inverse Regressor Search. In Asian Conference in Computer Vision (ACCV). Singapore; 2014.  (19.06 MB)
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. PSyCo: Manifold Span Reduction for Super Resolution. In IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, Nevada, USA; 2016.  (1.56 MB)

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