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Book Chapter
Canton-Ferrer C, Casas J, Tekalp M, Pardàs M. Projective Kalman Filter: Multiocular Tracking of 3D Locations Towards Scene Understanding. In Machine Learning for Multimodal Interaction. Berlin / Heidelberg: Springer; 2006. pp. 250–261.
Casamitjana A, Vilaplana V, Petrone P, Molinuevo JLuis, Gispert JD. Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer’s Disease. In PRedictive Intelligence in MEdicine. Springer International Publishing; 2018. pp. 60-67.
Alcoverro M, Casas J, Pardàs M. Skeleton and shape adjustment and tracking in multicamera environments. In Lecture notes in computer science. Berlin / Heidelberg: Springer; 2010. pp. 88–97.
Canton-Ferrer C, Casas J, Pardàs M. Towards a Bayesian Approach to Robust Finding Correspondances in Multiple View Geometry Environments. In Computational Science – ICCS 2005. Berlin / Heidelberg: Springer; 2005. pp. 281–289.
Bellot P, Salembier P, Pham NC, Meyer PE. Unsupervised GRN Ensemble. In Sanguinetti G., Huynh-Thu V. (eds) Methods in Molecular Biology . New York, NY: Springer science, Humana Press; 2019. pp. 283-302.
Abad A, Canton-Ferrer C, Segura C, Landabaso J-L, Macho D, Casas J, et al.. UPC Audio, Video and Multimodal Person Tracking Systems in the CLEAR Evaluation Campaign. In Lecture notes in computer science. Berlin / Heidelberg: Springer; 2007. pp. 93–104.
Conference Paper
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)
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)
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, 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.
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)
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.
Combalia M, Podlipnik S, Hernandez C, García S, Ficapal J, Burgos J, et al.. Artificial intelligence to predict positivity of sentinel lymph node biopsy in melanoma patients. In European Association of Dermato Oncology (EADO 2022). 2022.
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.
Gallego J, Pardàs M, Haro G. Bayesian foreground segmentation and tracking using pixel-wise background model and region-based foreground model. In 16th IEEE International Conference on Image Processing. 2009. pp. 3205–3208.
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)
Combalia M, Codella NCF, Rotemberg V, Helba B, Vilaplana V, Reiter O, et al.. BCN20000: Dermoscopic Lesions in the Wild. In International Skin Imaging Collaboration (ISIC) Challenge on Dermoscopic Skin Lesion Analysis 2019. 2019.
Cumplido-Mayoral I, Shekari M, Salvadó G, Operto G, Cacciaglia R, Falcon C, et al.. Brain structural alterations in cognitively unimpaired individuals with discordant amyloid-β PET and CSF Aβ42 status: findings using Machine Learning. In Alzheimer's Association International Conference. 2021.
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)

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