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Dimakis N, Soldatos J, Polymenakos L, Sturm J, Neumann J, Casas J. The Memory Jog Service. In Computers in the Human Interaction Loop. London: Springer; 2009. pp. 207–234.
Ruiz-Hidalgo J, Salembier P. Metadata-based coding tools for hybrid video codecs. In Picture Coding Symposium, PCS 2003. Saint-Malo, France; 2003. pp. 473–477.  (50.67 KB)
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. Method for upscaling an image and apparatus for upscaling an image. US 20170132759 A1; 2018.
Salembier P. Method of Coding an Image Sequence. 1995.
Salembier P. Method of Coding an Image Sequence and Corresponding Decoding Method. 1995.
Terradas R, Domingo P, Grau M, Alarcón E, Ruiz-Hidalgo J. A method, system and computer programs to automatically transform an image. European Patent Office. 2022.
López-Méndez A, Gall J, Casas J, van Gool L. Metric Learning from Poses for Temporal Clustering of Human Motion. In British Machine Vision Conference 2012. Guildford, UK; 2012.
Bosio M, Bellot P, Salembier P, Oliveras A. Microarray classification with hierarchical data representation and novel feature selection criteria. In IEEE 12th International Conference on BioInformatics and BioEngineering. Larnaca, Cyprus; 2012.  (513.59 KB)
Salvador A. MIT is building a system that can identify a recipe using pictures of food. Techcrunch; 2017.
Sayrol E, Bragos R, Alarcón E, Cabrera M, Calveras A, Comellas J, et al.. Mixed integration of CDIO skills into telecommunication engineering curricula. Elektronika ir elektrotechnika. 2010;102(6):127–130.
Ferrarons-Betrian M. Mobile Visual Search at Catchoom. Adamek T, Giró-i-Nieto X. 2014.
Huang B, Henry F, Guillemot C, Salembier P. Mode dependent vector quantization with a rate-distortion optimized codebook for residue coding in video compression. In IEEE Int. Conf. on Acoustics Speech and Signal Processing, ICASSP 2015. Brisbane, Australia: IEEE; 2015.  (287.4 KB)
Schürholt K, Taskiran D, Knyazev B, Giró-i-Nieto X, Borth D. Model Zoos: A Dataset of Diverse Populations of Neural Network Models. In NeurIPS 2022 Track Datasets and Benchmarks. New Orleans, Louisiana, USA.; 2022.  (937.59 KB)
Schürholt K, Taskiran D, Knyazev B, Giró-i-Nieto X, Borth D. Model Zoos: A Dataset of Diverse Populations of Neural Network Models. In NeurIPS. 2022.  (937.59 KB)
Gudmundsson S, Sveinsson J, Pardàs M, Aanaes H, Larsen R. Model-based hand gesture tracking in ToF image sequences. Lecture notes in computer science. 2010;6169/2010:118–127.
López-Méndez A, Casas J. Model-Based Recognition of Human Actions by Trajectory Matching in Phase Spaces. Image and Vision Computing. 2012;.  (960.26 KB)
Rolón J, Ortega A, Salembier P. Modeling of contours in wavelet domain for generalized lifting image compression. In IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009. Taipei, Taiwan; 2009.  (226.33 KB)
Dimiccoli M, Morel J, Salembier P. Monocular Depth by Nonlinear Diffusion. In IEEE Sixth Indian Conference on Computer Vision, Graphics & Image Processing, ICVGIP 2008. Bhubaneswar, India; 2008. pp. 140–148.  (664.12 KB)
Dimiccoli M. Monocular Depth Estimation for Image Segmentation and Filtering. Salembier P. Universitat Politècnica de Catalunya (UPC); 2009.
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. Monocular Depth Ordering Using T-junctions and Convexity Occlusion Cues. IEEE Transactions on Image Processing. 2013;22(5): 1926 - 1939 .  (2.64 MB)
Combalia M, Vilaplana V. Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification. In Workshop on Deep Learning in Medical Image Analysis, MICCAI. Granada, Spain; 2018.
Combalia M, Vilaplana V. Monte-Carlo Sampling Applied to Multiple Instance Learning for Histological Image Classification. In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support. Springer International Publishing; 2018. pp. 274-281.
Combalia M, Vilaplana V. Monte-Carlo Sampling applied to Multiple Instance Learning for Whole Slide Image Classification. In International Conference on Medical Imaging with Deep Learning. Amsterdam, The Netherlands; 2018.

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