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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)
Górriz M, Giró-i-Nieto X, Carlier A, Faure E. Active Deep Learning for Medical Imaging Segmentation. In Medical Image meets NIPS 2017 Workshop. 2017.  (187.43 KB)
Górriz M. Active Deep Learning for Medical Imaging Segmentation. Giró-i-Nieto X, Carlier A, Faure E. 2017.  (2.84 MB)
Xu Z, Vilaplana V, Morros JR. Action Tube Extraction based 3D -CNN for RGB-D Action Recognition. In International Conference on Content-Based Multimedia Indexing CBMI 2018. 2018.  (3.09 MB)
Butko T, Canton-Ferrer C, Segura C, Giró-i-Nieto X, Nadeu C, Hernando J, et al.. Acoustic event detection based on feature-level fusion of audio and video modalities. Eurasip journal on advances in signal processing. 2011;2011:1–11.
Eugenio F, Marqués F, Gómez L, Suarez E, Rovaris E. Accurate and automatic NOAA-AVHRR image navigation using a global contour matching approach. In International Geoscience and remote Sensing Symposium. 2000. pp. 639–642.
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)
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Gasull A, Moreno A, Salavedra J, Sayrol E, Vallverdu F. 619 - un ejemplo de diseño del laboratorio para asignaturas con créditos teóricos y prácticos. In VIII Congreso Universitario de Innovación Educativa en las Enseñanzas Técnicas. 2000. pp. 233–240.
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Martínez PA, Varas D, Castelán M, Camacho M, Marqués F, Arechavaleta G. 3D Shape Reconstruction from a Humanoid Generated Video Sequence. In IEEE International Conference on Humanoid Robots. Madrid; 2014.  (4.61 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.
Correa P, Marqués F, Marichal X, Macq B. 3D posture estimation using geodesic distance maps. Multimedia tools and applications. 2008;38:365–384.
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)
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 Segmentation Oriented to The Analysis of Interactions. In The 24th European Signal Processing Conference (EUSIPCO 2016). Budapest, Hungary: Eurasip; 2016.  (10.54 MB)
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. 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.
Sánchez I, Vilaplana V. 3D Medical Image Synthesis using Generative Adversarial Networks. In ACM Europe Celebration of Women in Computing, womENcourage 2017, Barcelona, Spain. 2017.
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.
Maceira M, Varas D, Morros JR, Ruiz-Hidalgo J, Marqués F. 3D hierarchical optimization for multi-view depth map coding. Multimedia Tools and Applications. 2017;.  (4.23 MB)
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.
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)
Schelkens P, Giró-i-Nieto X, Barbarien J, Cornelis J. 3D compression of medical data based on cube-splitting and embedded block coding. In ProRISC/IEEE Workshop. Veldhoven, The Netherlands; 2000.

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