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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)
Canton-Ferrer C, Casas J, Pardàs M. Exploiting Structural Hierarchy in Articulated Objects Towards Robust Motion Capture. In Articulated Motion and Deformable Objects. Berlin / Heidelberg: Springer; 2008. pp. 82–91.
Canton-Ferrer C, Casas J, Pardàs M. Exploiting Structural Hierarchy in Articulated Objects Towards Robust Motion Capture. In V Conference on Articulated Motion and Deformable Objects (AMDO). 2008. pp. 82–91.
Mohedano E, Salvador A, Porta S, Giró-i-Nieto X, McGuinness K, Healy G, et al.. Exploring EEG for Object Detection and Retrieval. In ACM International Conference on Multimedia Retrieval (ICMR) . Shanghai, China; 2015.  (5.37 MB)
Pardàs M. Extraction and tracking of the eyelids. In International Conference on Acoustics, Speech and Signal Processing. 2000.
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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, Bonafonte A. Facial animation parameters extraction and expression recognition using Hidden Markov Models. Signal processing: image communication. 2002;:675–688.
Pardàs M, Marcos L. Facial Parameter Extraction System based on Active Contours. In IEEE International Conference on Image Processing. 2001. pp. 1058–1061.
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)
Pina O, Vilaplana V. Feature propagation as self-supervision signals on graphs. Knowledge-Based Systems. Submitted;.
Petras I, Beleznai C, Dedeoglu Y, Pardàs M, Kovács L, Szlávik Z, et al.. Flexible test-bed for unusual behavior detection. In 6th ACM International Conference on Image and Video Retrieval. 2007. pp. 105–108.
Petras I, Beleznai C, Dedeoglu Y, Pardàs M, Kovács L, Szlávik Z, et al.. Flexible test-bed for unusual behavior detection. In 6th ACM International Conference on Image and Video Retrieval. 2007. pp. 105–108.
Gallego J, Pardàs M, Solano M. Foreground objects segmentation for moving camera scenarios based on SCGMM. In Computational Intelligence for Multimedia Understanding. Berlin Heidelberg: Springer; 2012. pp. 195-206.
Landabaso J-L, Pardàs M. Foreground Regions Extraction and Characterization Towards Real-Time Object Tracking. In 2nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms. 2005. pp. 241–249.
Landabaso J-L, Pardàs M. Foreground Regions Extraction and Characterization Towards Real-Time Object Tracking. Lecture notes in computer science. 2006;3869:241–249.
Giró-i-Nieto X, Martos M, Mohedano E, Pont-Tuset J. From Global Image Annotation to Interactive Object Segmentation. Multimedia Tools and Applications. 2014;70.  (1.71 MB)
Palou G, Salembier P. From local occlusion cues to global depth estimation. In IEEE Int. Conf. on Acoustics Speech and Signal Processing, ICASSP 2012. Kyoto, Japan; 2012.  (480.32 KB)
Canton-Ferrer C, Canton-Ferrer C, Casas J, Pardàs M. Fusion of multiple viewpoint information towards 3d face robust orientation detection. In IEEE International Conference on Image Processing. 2005.
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Marqués F, Meyer F, Pardàs M, Salembier P. General requirements for coding oriented segmentation of video sequences. Annales des télecommunications. Annals of telecommunications. 1997;52:359–366.
Dorea C, Pardàs M, Marqués F. Generation of long-term color and motion coherent partitions. In International Conference on Image Processing. 2006. pp. 581–584.
Mas-Montserrat D, Perera M, Barrabés M, Geleta M, Giró-i-Nieto X, Ioannidis AG. Generative Moment Matching Networks for Genotype Simulation. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22). 2022.  (2.95 MB)
Lin X, Casas J, Pardàs M. Graph based Dynamic Segmentation of Generic Objects in 3D. In CVPR SUNw: Scene Understanding Workshop. Las Vegas, US; 2016.  (956.15 KB)
Specia L, Barrault L, Caglayan O, Duarte A, Elliott D, Gella S, et al.. Grounded Sequence to Sequence Transduction. IEEE Journal of Selected Topics in Signal Processing. 2020;14(3):577-591.
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Ramon E, Triginer G, Escur J, Pumarola A, Garcia J, Giró-i-Nieto X, et al.. H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction. In International Conference on Computer Vision (ICCV). Virtual: IEEE/CVF; 2021.  (6.08 MB)
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. Half Hypersphere Confinement for Piecewise Linear Regression. In IEEE Winter Conference on Applications of Computer Vision. Lake Placid, NY, USA; 2016.  (7.01 MB)

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