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2
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)
3
Casamitjana A, Puch S, Aduriz A, Sayrol E, Vilaplana V. 3D Convolutional Neural Networks for Brain Tumor Segmentation. In MICCAI 2016 - Brain Lesion Workshop (BrainLes), Multimodal Brain Tumor Segmentation Challenge (BRATS). 2016.  (226.04 KB)
Casamitjana A, Puch S, Aduriz A, Vilaplana V. 3D Convolutional Neural Networks for Brain Tumor Segmentation: a comparison of multi-resolution architectures. In Lecture Notes in Computer Vision. Springer; 2017. pp. 150-161.
Canton-Ferrer C, Canton-Ferrer C, Casas J, Pardàs M, Sargin M, Tekalp M. 3D Human Action Recognition In Multiple View Scenarios. In 2ones Jornades UPC de Investigación en Automática, Visión y Robótica. 2006. pp. 1–5.
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.
Pardàs M, Salembier P. 3d morphological segmentation and motion estimation for image sequences. Signal processing. 1994;38:31–43.
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.
Lin X, Casas J, Pardàs M. 3D Point Cloud Segmentation Oriented to The Analysis of Interactions. In The 24th European Signal Processing Conference (EUSIPCO 2016). Budapest, Hungary: Eurasip; 2016.  (10.54 MB)
Lin X, Casas J, Pardàs M. 3D Point Cloud Segmentation Using a Fully Connected Conditional Random Field. In The 25th European Signal Processing Conference (EUSIPCO 2017). Kos island, Greece: Eurasip/IEEE; 2017.  (2.34 MB)
Lin X, Casas J, Pardàs M. 3D Point Cloud Video Segmentation Based on Interaction Analysis. In ECCV 2016: Computer Vision – ECCV 2016 Workshops. Amsterdam: Springer; 2016. pp. 821 - 835.  (10 MB)
Haro G, Pardàs M. 3D shape from multi-camera views by error projection minimization. In 10th Workshop on Image Analysis for Multimedia Interactive Services. 2010. pp. 250–253.
A
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. Accelerating Super-Resolution for 4K Upscaling. In IEEE International Conference on Consumer Electronics. Las Vegas, NV, USA; 2015.  (1.07 MB)
Salembier P, Martí E, Pardàs M. Active mesh coding and rate distortion theory. In IEEE International Conference on Image Processing, ICIP 1996. Lausanne, Switzerland; 1996.  (366.12 KB)
Nickel K, Pardàs M, Stiefelhagen R, Canton-Ferrer C, Landabaso J-L, Casas J. Activity Classification. In Computers in the Human Interaction Loop. London: Springer; 2009. pp. 107–119.
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)
López-Méndez A, Alcoverro M, Pardàs M, Casas J. Approximate partitioning of observations in hierarchical particle filter body tracking. In 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2011. pp. 19–24.
Canton-Ferrer C, Segura C, Casas J, Pardàs M, Hernando J. Audiovisual head orientation estimation with particle filtering in multisensor scenarios. EURASIP Journal on Advances in Signal Processing. 2008;2008:1–13.
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.
C
Poignant J, Budnik M, Bredin H, Barras C, Stefas M, Bruneau P, et al.. The CAMOMILE Collaborative Annotation Platform for Multi-modal, Multi-lingual and Multi-media Documents. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). Portorož (Slovenia); 2016.  (679.91 KB)
Petrone P, Casamitjana A, Falcon C, Artigues M, Operto G, Skouras S, et al.. Characteristic Brain Volumetric Changes in the AD Preclinical Signature. In Alzheimer's Association International Conference. Chicago, USA; 2018.

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