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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. Extraction and tracking of the eyelids. In International Conference on Acoustics, Speech and Signal Processing. 2000.
Pardàs M, Salembier P, Ayuso X, Martí E. Video coding method and corresponding coding and decoding systems. 1997.
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.
Panizo E. Classification techniques for Alzheimer’s disease early diagnosis. Vilaplana V. 2015.  (5.86 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)
Palou G, Salembier P. Precision-Recall-Classification Evaluation Framework: Application to Depth Estimation on Single Images. In European Conference on Computer Vision (ECCV). Zurich; 2014.  (1.37 MB)
Palou G, Salembier P. Monocular Depth Ordering Using T-junctions and Convexity Occlusion Cues. IEEE Transactions on Image Processing. 2013;22(5): 1926 - 1939 .  (2.64 MB)
Palou G, Salembier P. Depth Ordering on Image Sequences Using Motion Occlusions. In IEEE Int. Conf. in Image Processing, ICIP 2012. Orlando, Florida, USA; 2012.  (5.42 MB)
Palou G, Salembier P. Occlusion-based depth ordering on monocular images with binary partition tree. In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2011. Prague, Czech Republic; 2011. pp. 1093–1096.  (444.04 KB)
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)
Palou G, Salembier P. Depth order estimation for video frames using motion occlusions. IET Computer Vision. 2014;8(2):152-160.  (910.25 KB)
Palou G, Salembier P. Hierarchical Video Representation with Trajectory Binary Partition Tree. In Computer Vision and Pattern Recognition (CVPR). Portland, Oregon; 2013.  (4.69 MB)
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. 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)
Palou G, Salembier P. Monocular Depth Ordering Using Occlusion Cues. Barcelona: Technical University of Catalonia; 2011 .

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