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Palou G. Monocular Depth Estimation in Images and Sequences using Occlusion Cues. Salembier P. Signal Theory and Communications. 2014. p. 250.  (107.61 MB)
Palou G, Salembier P. Monocular Depth Ordering Using Occlusion Cues. Barcelona: Technical University of Catalonia; 2011 .
Palou G, Salembier P. 2.1 Depth Estimation of Frames in Image Sequences Using Motion Occlusions. In Computer Vision – ECCV 2012. Workshops and Demonstrations. Springer Berlin Heidelberg; 2012.  (8.88 MB)
Pan J, Giró-i-Nieto X. End-to-end Convolutional Network for Saliency Prediction. Large-scale Scene Understanding Challenge (LSUN) at CVPR Workshops . Boston, MA (USA): arXiv; 2015 .  (1.18 MB)
Pan J, Canton-Ferrer C, McGuinness K, O'Connor N, Torres J, Sayrol E, et al.. SalGAN: Visual Saliency Prediction with Generative Adversarial Networks. In CVPR 2017 Scene Understanding Workshop (SUNw). Honolulu, Hawaii, USA; 2017.  (1.85 MB)
Pan J. Visual Saliency Prediction using Deep learning Techniques. Giró-i-Nieto X. 2015.  (1.57 MB)
Pan J, McGuinness K, Sayrol E, O'Connor N, Giró-i-Nieto X. Shallow and Deep Convolutional Networks for Saliency Prediction. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR. Las Vegas, NV, USA: Computer Vision Foundation / IEEE; 2016.  (466.13 KB)
Panizo E. Classification techniques for Alzheimer’s disease early diagnosis. Vilaplana V. 2015.  (5.86 MB)
Pardàs M. Object-base image coding. Vistas in astronomy. 1997;41:455–461.
Pardàs M, Bonafonte A. Work in progress - Cooperative and competitive projects for engaging students in advanced ICT subjects. In 41st Annual Frontiers in Education Conference. 2011. pp. 1–3.
Pardàs M, Sayrol E. A new approach to active contours for tracking. In IEEE International Conference on Image Processing. 2000.
Pardàs M, Salembier P. Joint region and motion estimation with morphological tools. In International Symposium on Mathematical Morphology, ISMM 1994. Fontainebleau, France; 1994.
Pardàs M, Sayrol E. Motion estimation based tracking of active contours. Pattern recognition letters. 2001;22:1447–1456.
Pardàs M, Salembier P. Time-recursive segmentation of image sequences. In European Signal Processing Conference, EUSIPCO-94. Edinburgh, UK; 1994. pp. 18–21.  (806.06 KB)
Pardàs M. Relative depth estimation and segmentation in monocular sequences. In 1997 PICTURE CODING SYMPOSIUM. 1997. pp. 367–372.
Pardàs M, Salembier P, Torres L. 3D morphological segmentation or image sequence processing. In IEEE Winter Workshop on Nonlinear Signal Processing. Tampere, Finland; 1993. pp. 31–36.
Pardàs M, Salembier P. 3d morphological segmentation and motion estimation for image sequences. Signal processing. 1994;38:31–43.
Pardàs M, Marcos L. Facial Parameter Extraction System based on Active Contours. In IEEE International Conference on Image Processing. 2001. pp. 1058–1061.
Pardàs M, Canet G. Refinement network for unsupervised on the scene foreground segmentation. In EUSIPCO European Signal Processing Conference. European Association for Signal Processing (EURASIP); 2020.
Pardàs M. Video Object Segmentation introducing depth and motion information. In IEEE International Conference on Image Processing. 1998.
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.