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Cabezas F, Carlier A, Salvador A, Giró-i-Nieto X, Charvillat V. Quality Control in Crowdsourced Object Segmentation. In IEEE International Conference on Image Processing (ICIP), 2015. 2015.  (362.33 KB)
Cabezas F. Co-filtering human interaction and object segmentation. Carlier A, Salvador A, Giró-i-Nieto X, Charvillat V. 2015.  (1.82 MB)
Cabrera M, Giró-i-Nieto X, Rey F. Lavicad: laboratorio virtual de comunicaciones analógicas y digitales. In XXIII Simposium Nacional de la Unión Científica Internacional de Radio. Madrid, Spain; 2008. pp. 1–4.  (163.98 KB)
Cabrera M, Fernandez J, Berzosa C, Francisco V, Gasull A. LaViCAD: LABORATORIO VIRTUAL DE COMUNICACIONES ANALÓGICAS Y DIGITALES. In 4rt. Congrés Internacional de Docència Unversitària i Innovació. 2004. pp. 1–20.
Cabrera M, Closas P, Alfredo L, Giró-i-Nieto X, Rey F. Proyecto de Innovación Docente COM@WEB (COMunicaciones en la WEB). In VIII Simposio Nacional de Tecnologías de la Información y las Comunicaciones en la Educación. SINTICE'07. 2007. pp. 113–120.  (434.45 KB)
Cabrera M, Giró-i-Nieto X, Rey F, Gasull A, Casas J, Villares J, et al.. LAVICAD: LAboratori VIrtual de Comunicacions Analògiques i Digitals. In Jornada d'Innovació Docent - RIMA (JID-RIMA). Barcelona, Catalonia: UPCommons; 2009.
Calafell A. Fine-tuning a Convolutional Network for Cultural Event Recognition. Salvador A, Zeppelzauer M, Giró-i-Nieto X. 2015.  (11.14 MB)
Calafell A. Video Retrieval of Specific Persons in Specific Locations. Mohedano E, McGuinness K, Giró-i-Nieto X. 2016.  (17.14 MB)
Calderero F, Marqués F. Region merging parameter dependency as information diversity to create sparse hierarchies of partitions. In 2010 IEEE International Conference on Image Processing. 2010. pp. 2237–2240.
Calderero F, Marqués F, Marcello J, Eugenio F. Hierarchical segmentation of vegetation areas in high spatial resolution images by fusion of multispectral information. In 2009 IEEE International Geoscience and Remote Sensing Symposium. 2009. pp. 232–235.
Calderero F, Marqués F. General region merging approaches based on information theory statistical measures. In IEEE International Conference on Image Processing. 2008. pp. 3016–3019.
Calderero F, Marqués F. Image Analysis and Understanding Based on Information Theoretical Region Merging Approaches for Segmentation and Cooperative Fusion. In Handbook of Research on Computational Intelligence for Engineering, Science, and Business. IGI Global; 2012. pp. 75-121.
Calderero F, Marqués F. General Region Merging Based on First Order Markov Information Theory Statistical Measures. In 16th European Signal Processing Conference. 2008.
Calderero F, Marqués F, Ortega A. Multiple view region matching using as a Lagrangian optimization problem. In 2007 International Conference on Acoustics, Speech and Signal Processing. 2007.
Calderero F, Eugenio F, Marcello J, Marqués F. Multispectral Cooperative Partition Sequence Fusion for Joint Classification and Hierarchical Segmentation. Geoscience and Remote Sensing Letters, IEEE. 2012;9:1012-1016.
Calderero F, Marqués F. Hierarchical fusion of color and depth information at partition level by cooperative region merging. In IEEE International Conference on Acoustics, Speech and Signal Processing 2009. 2009. pp. 973–976.
Calderero F. Information Theoretical Region Merging Approaches and Fusion of Hierarchical Image Segmentation Results. Marqués F. Universitat Politècnica de Catalunya (UPC); 2010.  (57.57 MB)
Calderero F, Marqués F. Region merging techniques using information theory statistical measures. IEEE transactions on image processing. 2010;19:1567–1586.
Calderero F, Marqués F, Ortega A. Performance evaluation of probability density estimators for unsupervised information theoretical region merging. In 16th International Conference on Image Processing. 2009. pp. 4397–4400.
Caminal I, Casas J, Royo S. SLAM-based 3D outdoor reconstructions from LIDAR data. In IC3D. Brussels, Belgium: IEEE; 2018.  (3.21 MB)
Campos V. Layer-wise CNN Surgery for Visual Sentiment Prediction. Salvador A, Jou B, Giró-i-Nieto X. 2015.  (1.51 MB)
Campos V, Jou B, Giró-i-Nieto X, Torres J, Chang S-F. Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks. In NIPS Time Series Workshop 2017. Long Beach, CA, USA; 2017.  (427.72 KB)
Campos V. Learning to Skip State Updates in Recurrent Neural Networks. Jou B, Chang S-F, Giró-i-Nieto X. 2017.  (961.49 KB)
Campos V, Sastre F, Yagües M, Bellver M, Giró-i-Nieto X, Torres J. Distributed training strategies for a computer vision deep learning algorithm on a distributed GPU cluster. In International Conference on Computational Science (ICCS). Zurich, Switzerland: Elsevier; 2017.  (576.67 KB)
Campos V, Salvador A, Giró-i-Nieto X, Jou B. Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction. In 1st International Workshop on Affect and Sentiment in Multimedia. Brisbane, Australia: ACM; 2015.  (506.22 KB)

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