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2022
R. Terradas, Domingo, P., Grau, M., Alarcón, E., and Ruiz-Hidalgo, J., “A method, system and computer programs to automatically transform an image”, 2022. Google Scholar BibTex	Patent
P. Cabot, “Sign Language Translation based on Transformers for the How2Sign Dataset”, 2022. Google Scholar BibTex (1.56 MB)	Report
Á. Budria, “Multimodal 3D Hand Pose Enhancement for Sign Language”, 2022. Google Scholar BibTex (1.2 MB)	Report
P. Cabot, Tarrés, L., and Giró-i-Nieto, X., “Sign-Language Translation with Pseudo-Glosses”. 2022. Google Scholar BibTex (7.51 MB)	Ms Thesis
Á. Budria, “Topic Detection from Sign Language Videos”. 2022. Google Scholar BibTex	Ms Thesis
X. Giró-i-Nieto and Duarte, A., “Towards Sign Language Translation and Production”. 2022. Google Scholar BibTex	Presentation
M. A. Mohamed, “Exploring Visual Representations for Sign Language Translation”. 2022. Google Scholar BibTex (700.12 KB)	Ms Thesis
M. Barrabés, “Machine Learning for Genomic Sequence Processing”, 2022. Google Scholar BibTex	Report
M. Perera, “Ancestry-conditioned Generative Models for Genotyping”, 2022. Google Scholar BibTex	Report
T. Domenech, “Hiding Images in their Spoken Narratives”. 2022. Google Scholar BibTex (15.23 MB)	Ms Thesis

2021
J. Aguilar, “2D-to-3D Lifting of Sign Language Body Poses with Recurrent Neural Networks”, UPC ETSETB TelecomBCN, Barcelona, 2021. Google Scholar BibTex (340.44 KB)	Report
D. Bonet, “Improved Neural Network Generalization using Channel-Wise NNK Graph Constructions”. Final Year Project, UPC, 2021. Google Scholar BibTex (3.67 MB)	Unpublished
M. Geleta, “Unsupervised learning with applications in genomic”, vol. BSc Data Science Engineering. 2021. Google Scholar BibTex	Ms Thesis
P. Caselles, “Disentangling neural network structure from the weights space”. 2021. Google Scholar BibTex (17.1 MB)	Ms Thesis
M. Escobar, “Object Model Adaptation for Multiple Object Tracking”, 2021. Google Scholar BibTex (785.3 KB)	Report
X. Giró-i-Nieto, “Learning Representations for Sign Language Videos”. 2021. Google Scholar BibTex	Presentation
B. Oriol, “Species-agnostic Local Ancestry Inference on Genomic Data with Convolutions”. 2021. Google Scholar BibTex	Ms Thesis
A. Iturralde, “Towards video alignment across cameras with sign language 2D poses”. 2021. Google Scholar BibTex (3.45 MB)	Ms Thesis
L. Tarrés, “GAN-based Image Colourisation with Feature Reconstruction Loss”. 2021. Google Scholar BibTex (12.4 MB)	Ms Thesis
X. Giró-i-Nieto and Ventura, C., “Object Detection with Deep Learning”. 2021. Google Scholar BibTex	Presentation
X. Giró-i-Nieto, “Sign Language Translation and Production Multimedia and Multimodal Challenges for All”. 2021. Google Scholar BibTex	Presentation
R. Creus, “Unsupervised skill learning from pixels”. 2021. Google Scholar BibTex (19.61 MB)	Ms Thesis
J. José Nieto, “Discovery and Learning of Navigation Goals from Pixels in Minecraft”. 2021. Google Scholar BibTex (16.15 MB)	Ms Thesis
X. Giró-i-Nieto, “Deep Learning Representations for All (a.ka. the AI hype)”. 2021. Google Scholar BibTex (10.95 MB)	Presentation

2020
X. Giró-i-Nieto, “Image and Video Object Segmentation with Low Supervision”. 2020. Google Scholar BibTex	Presentation
M. Gonzalez-i-Calabuig, “Curriculum Learning for Recurrent Video Object Segmentation”. 2020. Google Scholar BibTex	Ms Thesis
P. Muschik, “Learn2Sign : sign language recognition and translation using human keypoint estimation and transformer model”. 2020. DOI Google Scholar BibTex (5.32 MB)	Ms Thesis
C. Puntí, “PixInPix: Hidding Pixels in Pixels”. 2020. Google Scholar BibTex (2.13 MB)	Ms Thesis
I. Kazakos, “Generation of Synthetic Referring Expressions for Object Segmentation in Videos”. 2020. Google Scholar BibTex (4.14 MB)	Ms Thesis
O. Mañas, “Self-Supervised Visual Representation Learning for Remote Sensing”. 2020. Google Scholar BibTex	Ms Thesis
X. Giró-i-Nieto and Ventura, C., “Image Segmentation with Deep Learning”. 2020. Google Scholar BibTex	Presentation
X. Giró-i-Nieto, “Deep Self-Supervised Learning for All”. 2020. Google Scholar BibTex	Presentation
P. Pérez-Granero, “2D to 3D body pose estimation for sign language with Deep Learning”. 2020. Google Scholar BibTex (2.97 MB)	Ms Thesis
J. Escur, “Attention-based multi-view 3D reconstruction models”. 2020. Google Scholar BibTex	Ms Thesis

2019
E. Ramon, Villar, J., Ruiz, G., Batard, T., and Giró-i-Nieto, X., “Plug-and-Train Loss for Model-Based Single View 3D Reconstruction”, BMVA Technical Meeting: 3D vision with Deep Learning. UPC, London, UK, 2019. Google Scholar BibTex (3.97 MB)	Unpublished
J. LLadós, Bou, E., Bressan, M., Sala, O., and Giró-i-Nieto, X., “The pillars of the Computer Vision Catalan Alliance”. 2019. Google Scholar BibTex	Presentation
A. Herrera-Palacio, “Recurrent Instance Segmentation with Linguistic Referring Expressions”. 2019. Google Scholar BibTex (3.6 MB)	Ms Thesis
P. Domingo, “Interpretability of Deep Learning Models”. 2019. Google Scholar BibTex	Ms Thesis
L. Tarrés, “Clasificación de lesiones de piel con un ensemble de redes neuronales residuales”. 2019. Google Scholar BibTex	Ms Thesis
T. Domenech, “Clasificación de imágenes dermatoscópicas utilizando Redes Neuronales Convolucionales e información de metadatos”. 2019. Google Scholar BibTex	Ms Thesis
R. Casals, “Synthesis of acne images for data augmentation with generative adversarial networks”. 2019. Google Scholar BibTex	Ms Thesis
M. Balibrea, “Deep learning for semantic segmentation of airplane hyperspectral imaging”. 2019. Google Scholar BibTex	Ms Thesis
X. Giró-i-Nieto, “One Perceptron to Rule Them All: Language and Vision”. 2019. Google Scholar BibTex (15.61 MB)	Presentation
M. Caros, “A Generative Dialogue System for Reminiscence Therapy”. 2019. Google Scholar BibTex (4.89 MB)	Ms Thesis
A. Comas, “Exploring Methods for Enhancing Linear Prediction of Video Sequences”. 2019. Google Scholar BibTex	Ms Thesis
“Deep Learning Representations for All (a.k.a. the AI hype)”. 2019. Google Scholar BibTex (10.95 MB)	Presentation
M. Granero, “A Video Database for Analyzing Affective Physiological Responses”. 2019. Google Scholar BibTex (23.66 MB)	Ms Thesis
B. Oriol, “Multimodal Hate Speech Detection in Memes”. 2019. Google Scholar BibTex (1.66 MB)	Ms Thesis
P. Caselles, “Integrating low-level motion cues in deep video saliency”. 2019. Google Scholar BibTex (10.04 MB)	Ms Thesis
J. José Nieto, “Video Saliency Prediction with Deep Neural Networks”. 2019. Google Scholar BibTex (2.17 MB)	Ms Thesis
M. Tubau, “Wav2Pix: Enhancement and Evaluation of a Speech-conditioned Image Generator”. 2019. Google Scholar BibTex (9.65 MB)	Ms Thesis

2018
E. Ramon, “Deep Learning algorithms for 3D Reconstruction and Simulation of Aesthetic Procedures”. 2018. Google Scholar BibTex	Unpublished
D. Fernàndez, Bou-Balust, E., and Giró-i-Nieto, X., “Multimodal Knowledge Base Population from News Streams for Media Applications”. 2018. Google Scholar BibTex	Unpublished
E. Perez-Pellitero, Salvador, J., Ruiz-Hidalgo, J., and Rosenhahn, B., “Method for upscaling an image and apparatus for upscaling an image”, U.S. Patent US 20170132759 A12018. Google Scholar BibTex	Patent
D. Moreno, Costa-jussà, M. R., and Giró-i-Nieto, X., “English to ASL Translator for Speech2Signs”. 2018. Google Scholar BibTex (1.54 MB)	Unpublished
X. Giró-i-Nieto, “One Perceptron to Rule them All”. 2018. Google Scholar BibTex (8.44 MB)	Presentation
N. Gullón, “Retinal lesions segmentation using CNNs and adversarial training”. 2018. Google Scholar BibTex	Ms Thesis
G. Batiste, “Generative Adversarial Networks for Anomaly Detection in Images”. 2018. Google Scholar BibTex	Ms Thesis
C. Arenas, “Video Understanding through the Disentanglement of Appearance and Motion”. 2018. Google Scholar BibTex (1.06 MB)	Ms Thesis
S. Roca, “Block-based Speech-to-Speech Translation”. 2018. Google Scholar BibTex (505.01 KB)	Ms Thesis
J. Bustos Pelegrí, “Clasificación de imágenes histológicas mediante redes neuronales convolucionales”. 2018. Google Scholar BibTex	Ms Thesis
M. Artigues Cànaves, “Prevention of Alzheimer's Disease: a contribution from MRI and machine learning”. 2018. Google Scholar BibTex	Ms Thesis
J. Martínez Artigot, “Automatic fruit classification using deep learning”. 2018. Google Scholar BibTex	Ms Thesis
C. Bonín Roselló, “Brain lesion segmentation using Convolutional Neuronal Networks”. 2018. Google Scholar BibTex (3.15 MB)	Ms Thesis
F. Roldán, “Speech-conditioned Face Generation with Deep Adversarial Networks”. 2018. Google Scholar BibTex (1.79 MB)	Ms Thesis
A. Alsina, “An interactive Lifelog Search Engine for LSC2018”. 2018. Google Scholar BibTex (2.75 MB)	Ms Thesis
M. Coll-Pol, “The Importance of Time in Visual Attention Models”. 2018. Google Scholar BibTex (5.46 MB)	Ms Thesis
X. Giró-i-Nieto, “Learning Where and When to Look”. 2018. Google Scholar BibTex	Presentation
D. Fojo, “Reproducing and Analyzing Adaptive Computation Time in PyTorch and TensorFlow”. 2018. Google Scholar BibTex (1.41 MB)	Ms Thesis
J. Escur, “Exploring Automatic Speech Recognition with TensorFlow”. 2018. Google Scholar BibTex (829.82 KB)	Ms Thesis

2017
X. Giró-i-Nieto, Pascual-deLaPuente, S., Miró, V., and Esteve, O., “La meitat de les notícies que consumirem el 2022 seran falses”, 2017. . Google Scholar BibTex	Web Article
E. Mohedano, McGuinness, K., Giró-i-Nieto, X., and O'Connor, N., “Fine-tuning of CNN models for Instance Search with Pseudo-Relevance Feedback”. NIPS 2017 Women in Machine Learning Workshop, Long Beach, CA, USA, 2017. Google Scholar BibTex (341.96 KB)	Unpublished
A. Salvador, “MIT is building a system that can identify a recipe using pictures of food”, 2017. . Google Scholar BibTex	Web Article
A. Salvador, “Snap a photo, get a recipe: pic2recipe uses AI to predict food ingredients”, 2017. . Google Scholar BibTex	Web Article
A. Salvador, “Artificial intelligence suggests recipes based on food photos”, 2017. . Google Scholar BibTex	Web Article
“One Perceptron to Rule Them All”. 2017. Google Scholar BibTex	Presentation
D. Rodríguez Castelló, “Extracción de cráneo en imágenes de resonancia magnética del cerebro utilizando una red neuronal convolucional 3D”. 2017. Google Scholar BibTex	Ms Thesis
V. Campos, “Learning to Skip State Updates in Recurrent Neural Networks”. 2017. Google Scholar BibTex (961.49 KB)	Ms Thesis
M. Bellver, “Detection-aided medical image segmentation using deep learning”. 2017. Google Scholar BibTex (7.07 MB)	Ms Thesis
A. Jiménez, “Class Weighted Convolutional Features for Image Retrieval”. 2017. Google Scholar BibTex	Ms Thesis
F. Roldán, “Visual Question Answering 2.0”. 2017. Google Scholar BibTex (2.59 MB)	Ms Thesis
O. Bernal, “Predicting emotion in movies: Recurrent and convolutional models applied to videos”. 2017. Google Scholar BibTex (3.05 MB)	Ms Thesis
A. Bozal, “Personalized Image Classication from EEG Signals using Deep Learning”. 2017. Google Scholar BibTex (4.51 MB)	Ms Thesis
M. Górriz, “Active Deep Learning for Medical Imaging Segmentation”. 2017. Google Scholar BibTex (2.84 MB)	Ms Thesis
L. L. Cardoner, “Predicting Media Interestingness”. 2017. Google Scholar BibTex (1.78 MB)	Ms Thesis
M. Assens, “The Temporal Dimension of Visual Attention Models”. 2017. Google Scholar BibTex (6.98 MB)	Ms Thesis
M. Compri, “Multi-label Remote Sensing Image Retrieval based on Deep Features”. 2017. Google Scholar BibTex (1.99 MB)	Ms Thesis
E. Arazo, “The impact of visual saliency prediction in image classification”. 2017. Google Scholar BibTex (828.66 KB)	Ms Thesis
A. Romero-Lopez, “Skin Lesion Detection from Dermoscopic Images using Convolutional Neural Networks”. 2017. Google Scholar BibTex	Ms Thesis

2016
D. Fernàndez, Campos, V., Jou, B., Giró-i-Nieto, X., and Chang, S. - F., “Is a “happy dog” more “happy” than “dog”? - Adjective and Noun Contributions for Adjective-Noun Pair prediction”, NIPS Women in Machine Learning Workshop. Barcelona, 2016. Google Scholar BibTex (3.11 MB)	Unpublished
M. Carné-Herrera, Giró-i-Nieto, X., and Gurrin, C., “EgoMemNet: Visual Memorability Adaptation to Egocentric Images”, 4th Workshop on Egocentric (First-Person) Vision, CVPR 2016, Las Vegas, NV, USA, 2016. Google Scholar BibTex (265.4 KB)	Report
C. Reyes, Mohedano, E., McGuinness, K., O'Connor, N., and Giró-i-Nieto, X., “Where did I leave my phone ?”, 4th Workshop on Egocentric (First-Person) Vision, CVPR 2016, Las Vegas, NV, USA, 2016. Google Scholar BibTex (312.27 KB)	Report
M. Bellver, Giró-i-Nieto, X., and Marqués, F., “Efficient search of objects in images using deep reinforcement learning”, NIPS Women in Machine Learning Workshop. Barcelona., 2016. Google Scholar BibTex	Unpublished
I. Masuda-Mora, Pascual-deLaPuente, S., and Giró-i-Nieto, X., “Towards Automatic Generation of Question Answer Pairs from Images”, Visual Question Answering Challenge Workshop, CVPR 2016, Las Vegas, NV, USA, 2016. Google Scholar BibTex (206.92 KB)	Report
V. Marcos Santamarta, “Machine learning for recommendation systems in job postings selection”. 2016. Google Scholar BibTex	Ms Thesis
M. Catà, “Feature Selection Methods for Predicting Pre-Clinical Stage in Alzheimer's Disease”. 2016. Google Scholar BibTex (4.52 MB)	Ms Thesis
A. Aduriz, “Analysis of the dynamics of gray matter reduction in Alzheimer's Disease”. 2016. Google Scholar BibTex (9.47 MB)	Ms Thesis
S. Puch, “Nonlinear analysis toolbox for neurodegenerative diseases and aging”. 2016. Google Scholar BibTex (9.74 MB)	Ms Thesis
A. Ferri, “Object Tracking in Video with TensorFlow”. 2016. Google Scholar BibTex (22.63 MB)	Ms Thesis
A. Nespereira, “Siamese Convolutional Neural Network for Learning Object Similarities in RGB-D Images”. 2016. Google Scholar BibTex	Ms Thesis
A. Calafell, “Video Retrieval of Specific Persons in Specific Locations”. 2016. Google Scholar BibTex (17.14 MB)	Ms Thesis
D. Fernàndez, “Clustering and Prediction of Adjective-Noun Pairs for Affective Computing”. 2016. Google Scholar BibTex (10.38 MB)	Ms Thesis
M. Carné-Herrera, “Visual Memorability for Egocentric Cameras”. 2016. Google Scholar BibTex (98.86 MB)	Ms Thesis
M. Chertó, “EgoMon Gaze and Video Dataset for Visual Saliency Prediction”. 2016. Google Scholar BibTex (1.48 MB)	Ms Thesis
C. Reyes, “Time-sensitive Egocentric Image Retrieval for Fidings Objects in Lifelogs”. 2016. Google Scholar BibTex (10.23 MB)	Ms Thesis
I. Masuda-Mora, “Open-Ended Visual Question-Answering”. 2016. Google Scholar BibTex (7.03 MB)	Ms Thesis
A. Montes, “Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks”. 2016. Google Scholar BibTex (27.84 MB)	Ms Thesis
M. Carné-Herrera, “Detect Snap Points in Egocentric Images with Physiological Signals”. 2016. Google Scholar BibTex (4.63 MB)	Ms Thesis

2015
C. Ventura, Giró-i-Nieto, X., Vilaplana, V., McGuinness, K., Marqués, F., and O'Connor, N. E., “Improving Spatial Codification in Semantic Segmentation (Supplementary Material)”, 2015. Google Scholar BibTex (18.81 MB)	Report
J. Pan and Giró-i-Nieto, X., “End-to-end Convolutional Network for Saliency Prediction”, arXiv, Boston, MA (USA), 2015. Google Scholar BibTex (1.18 MB)	Report
E. Sañoso Vela, “Combinar imágenes y hábitos musicales para mejorar los sistemas de recomendación de música”. 2015. Google Scholar BibTex	Ms Thesis
A. Herrera Alonso, “Detecció de Text utilitzant Xarxes Neuronals Convolucionals ”. 2015. Google Scholar BibTex	Ms Thesis
Ldel Pino López, “Reconstrucció de la forma del rostre a partir de contorns”. 2015. Google Scholar BibTex	Ms Thesis
E. Panizo, “Classification techniques for Alzheimer’s disease early diagnosis”. 2015. Google Scholar BibTex (5.86 MB)	Ms Thesis
C. Canton-Ferrer, “From Catalonia to America: notes on how to achieve a successful post-PhD career”. 2015. Google Scholar BibTex	Presentation
G. de Oliveira-Barra, “LIvRE: A Video Extension to the LIRE Content-Based Image Retrieval System”. 2015. Google Scholar BibTex (8.3 MB)	Ms Thesis
A. Lidon, “Semantic and Diverse Summarization of Egocentric Photo Events”. 2015. Google Scholar BibTex (5.34 MB)	Ms Thesis
M. Alfaro, “Inclusion of depth information on a temporal hierarchical co-clustering technique”. 2015. Google Scholar BibTex	Ms Thesis
G. A. Xalabarder, “Region-based Particle Filter”. 2015. Google Scholar BibTex	Ms Thesis
C. Ramos-Caballero, “Keyframe-based Video Summarization Designer”. 2015. Google Scholar BibTex (2.64 MB)	Ms Thesis
M. Bellver, “Efficient Exploration of Region Hierarchies for Semantic Segmentation”. 2015. Google Scholar BibTex (11.62 MB)	Ms Thesis
A. Calafell, “Fine-tuning a Convolutional Network for Cultural Event Recognition”. 2015. Google Scholar BibTex (11.14 MB)	Ms Thesis
J. Pan, “Visual Saliency Prediction using Deep learning Techniques”. 2015. Google Scholar BibTex (1.57 MB)	Ms Thesis
V. Campos, “Layer-wise CNN Surgery for Visual Sentiment Prediction”. 2015. Google Scholar BibTex (1.51 MB)	Ms Thesis
E. Fontdevila-Bosch, “Region-oriented Convolutional Networks for Object Retrieval”. 2015. Google Scholar BibTex (8.02 MB)	Ms Thesis
J. Roldan-Carlos, “Visual Search for Musical Performances and Endoscopic Videos”. 2015. Google Scholar BibTex (12.35 MB)	Ms Thesis
R. Mestre, “Visual Summary of Egocentric Photostreams by Representative Keyframes”. 2015. Google Scholar BibTex (1.36 MB)	Ms Thesis
S. Porta, “Rapid Serial Visual Presentation for Relevance Feedback in Image Retrieval with EEG Signals”. 2015. Google Scholar BibTex (1.38 MB)	Ms Thesis
F. Cabezas, “Co-filtering human interaction and object segmentation”. 2015. Google Scholar BibTex (1.82 MB)	Ms Thesis
I. Gris-Sarabia, “Pyxel, una llibreria per a l’anotació automàtica de fotografies”. 2015. Google Scholar BibTex (1.12 MB)	Ms Thesis

2014
C. D Gutiérrez, “Comparació d'algoritmes de classificació de tipus de pla en imatges de futbol”. 2014. Google Scholar BibTex	Ms Thesis
M. Ferrarons-Betrian, “Mobile Visual Search at Catchoom”. 2014. Google Scholar BibTex	Ms Thesis
A. Salvador, “Exploiting User Interaction and Object Candidates for Instance Retrieval and Object Segmentation”. 2014. Google Scholar BibTex (8.97 MB)	Ms Thesis
D. Almendros-Gutiérrez, “Visual instance mining of news videos using a graph-based approach”. 2014. Google Scholar BibTex (4.12 MB)	Ms Thesis
M. Tella, “Contextless Object Recognition with Shape-enriched SIFT and Bags of Features”. 2014. Google Scholar BibTex (4.82 MB)	Ms Thesis
S. Imedio-Pereira, “An investigation of eye gaze tracking utilities in image object recognition”. 2014. Google Scholar BibTex (1.63 MB)	Ms Thesis
D. Manchon-Vizuete, “Low computational cost algorithms for photo clustering and mail signature detection in the cloud”. 2014. Google Scholar BibTex	Ms Thesis
R. Llorca Queralt, “Automatic Human Detection and Tracking for Robust Video Sequence Annotation”. 2014. Google Scholar BibTex	Ms Thesis
J. Sánchez-Escué, “Bundling interest points for object classification”. 2014. Google Scholar BibTex (2.15 MB)	Ms Thesis

2013
C. Ventura, “Visual Object Analysis Using Regions and Interest Points”, ACM Multimedia. 2013. DOI Google Scholar BibTex (132.2 KB)	Ms Thesis
E. Ramon, “Algorithms for B wave detection”. 2013. Google Scholar BibTex	Ms Thesis
C. Ventura, “Visual Object Analysis Using Regions and Interest Points”. 2013. Google Scholar BibTex (4.62 MB)	Ms Thesis
A. Garcia-delMolino, “Extension of Instance Search Technique by Geometric Coding and Quantization Error Compensation”. 2013. Google Scholar BibTex	Ms Thesis
A. Salvador, “Crowdsourced Object Segmentation with a Game”. 2013. Google Scholar BibTex (1.34 MB)	Ms Thesis
E. Mohedano, “Investigating EEG for Saliency and Segmentation Applications in Image Processing”. 2013. Google Scholar BibTex (332.54 KB)	Ms Thesis
J. Antoja-Sabin, “El telèfon mòbil com a eina d'aprenentatge informal”. 2013. Google Scholar BibTex (1.55 MB)	Ms Thesis
M. Martos, “Content-based Video Summarisation to Object Maps”. 2013. Google Scholar BibTex (3.73 MB)	Ms Thesis
L. Tort, “Video Clustering Using Camera Motion”. 2013. Google Scholar BibTex (8.87 MB)	Ms Thesis

2011
M. Alfaro, “Reordenació i agrupament d'imatges d'una cerca de vídeo”. 2011. Google Scholar BibTex (24.81 MB)	Ms Thesis
G. Palou and Salembier, P., “Monocular Depth Ordering Using Occlusion Cues”, Technical University of Catalonia, Barcelona, 2011. Google Scholar BibTex	Report
M. Tella, “Interactive Image Processing demonstrations for the web”. 2011. Google Scholar BibTex (1.77 MB)	Ms Thesis
“Interactive Image Processing Demos for the Web”. 2011. Google Scholar BibTex (1.77 MB)	Ms Thesis
E. Carcel, “Rich Internet Application for the Semi-Automatic Annotation of Semantic Shots on Keyframes”. 2011. Google Scholar BibTex (6.58 MB)	Ms Thesis
A. Rubiano, “Búsqueda Visual con Retroacción de Relevancia Basada en Actualizacion de Pesos”. 2011. Google Scholar BibTex (1.07 MB)	Ms Thesis
C. Ventura, “Tools for Image Retrieval in Large Multimedia Databases”. 2011. Google Scholar BibTex (6.33 MB)	Ms Thesis

2010
S. Cortés, “GOS: búsqueda visual de imágenes”, 25, 2010. Google Scholar BibTex	Report
D. Varas, “Type of view estimation in football sequences”. 2010. Google Scholar BibTex	Ms Thesis
C. Ventura, “Image-Based Query by Example Using MPEG-7 Visual Descriptors”. 2010. Google Scholar BibTex	Ms Thesis
P. Muñoz-Trallero, “Extensió d'una interfície de cerca d'imatges a les consultes amb regions”. 2010. Google Scholar BibTex	Ms Thesis
B. Girvent, “Servei de vídeos a la carta per a l'iPhone”. 2010. Google Scholar BibTex (10.26 MB)	Ms Thesis
M. Gimeno, “Interfície gràfica d'usuari per a l'avaluació de classificadors d'imatges”. 2010. Google Scholar BibTex	Ms Thesis
C. Ruiz-Sancho, “Tweet@TV: Televisió social en 140 caràcters”. 2010. Google Scholar BibTex (6.63 MB)	Ms Thesis

2009
S. Cortés, “Interfaz gráfica de usuario para la búsqueda de imágenes basada en imágenes”. 2009. Google Scholar BibTex (2.84 MB)	Ms Thesis
R. Salla-Rovira, “Aplicació rica d'internet per a la consulta amb text i imatge a la Corporació Catalana de Mitjans Audiovisuals”. 2009. Google Scholar BibTex (6.01 MB)	Ms Thesis

2007
A. Gil-Moreno, “Sistema de gestió de vídeo off-line per una smart-room”. 2007. Google Scholar BibTex (4.54 MB)	Ms Thesis

2004
X. Giró-i-Nieto, “La convergència de la TV cap al PC”, Diari Avui, Barcelona, Catalonia, 2004. Google Scholar BibTex	Report

2000
X. Giró-i-Nieto, “Volumetric Data Compression based on Cube-Splitting and Embedded Block Coding by Optimized Truncation”. 2000. Google Scholar BibTex (1.36 MB)	Ms Thesis

1999
F. Marqués, Gomila, C., and Gasull, A., “Partition Decoding Method and Device”, U.S. Patent 9940176141999. Google Scholar BibTex	Patent
F. Marqués, “Partition Coding Method and Device”, U.S. Patent 9940043641999. Google Scholar BibTex	Patent
J. Ruiz-Hidalgo, “The representation of images using scale trees”, University of East Anglia, 1999. Google Scholar BibTex (2.33 MB)	Report
J. Llach and Salembier, P., “Analysis of Video Sequence. Method for Defining the Structure of a Video Sequence. Part I”, U.S. Patent 994025948-1999. Google Scholar BibTex	Patent
J. Llach and Salembier, P., “Analysis of Video Sequence. Method for Defining the Structure of a Video Sequence. Part II”, U.S. Patent 994026615-1999. Google Scholar BibTex	Patent

1997
F. Marqués and Molina, C., “Image Segmentation and Object Tracking Method and Corresponding System”, U.S. Patent 9740255871997. Google Scholar BibTex	Patent
M. Pardàs, Salembier, P., Ayuso, X., and Martí, E., “Video coding method and corresponding coding and decoding systems”, U.S. Patent 9693276.5-1997. Google Scholar BibTex	Patent

1996
P. Salembier, Marqués, F., Corset, I., Bouchard, L., Jeannin, S., Pardàs, M., Morros, J. R., Meyer, F., and Marcotegui, B., “Segmented Picture Coding Method and System and Corresponding Decoding Method and System”, U.S. Patent 964009161-1996. Google Scholar BibTex (2.27 MB)	Patent
A. Oliveras, Salembier, P., and Garrido, L., “Filtering Method and Corresponding Filtering System”, U.S. Patent 96402925.0-1996. Google Scholar BibTex	Patent

1995
P. Salembier, “Method of Coding an Image Sequence”, U.S. Patent 954018131-1995. Google Scholar BibTex	Patent
P. Salembier, “Method of Coding an Image Sequence and Corresponding Decoding Method”, U.S. Patent 954020202-1995. Google Scholar BibTex	Patent

1989
P. Salembier and Lamnabhi, M., “Appareil de Décodage de Signaux Modulés en Fréquence”, U.S. Patent 8900812-1989. Google Scholar BibTex	Patent

1988
P. Salembier and Lamnabhi, M., “Dispositif de Réception de Signaux Numériques Codés et Modulés en Fréquences”, U.S. Patent 8808919-1988. Google Scholar BibTex	Patent
P. Salembier and Hayet, P., “Appareil Muni d'un Dispositif de Réstitution de la Composante Continue Amélioré”, U.S. Patent 8814685-1988. Google Scholar BibTex	Patent

1987
P. Salembier and Lamnabhi, M., “Dispositif d'Amélioration du Décodage de Signaux Numériques lors de Transmission en Modulation de Fréquence”, U.S. Patent 8710580-1987. Google Scholar BibTex	Patent

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