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Author Title [ Type(Desc)] Year
Thesis
Pardàs M. Segmentación Morfológica de Secuencias de Imágenes: Aplicación a la Codificación. Salembier P. Universitat Politècnica de Catalunya (UPC); 1995.
Lin X. Semantic and Generic Object Segmentation for Scene Analysis Using RGB-D Data. Casas J, Pardàs M. Signal Theory and Communications (TSC). [download link]: Universitat Politècnica de Catalunya (UPC); 2018.
Girbau A. Sports broadcasting and multiple object tracking with deep learning methods. Rius I, Giró-i-Nieto X, Marqués F. Signal Theory and Communications. 2021.
Alcoverro M. Stochastic optimization and interactive machine learning for human motion analysis. Pardàs M, Casas J. Signal Theory and Communications. [Barcelona]: UPC; 2014.  (17.16 MB)
Casamitjana A, Vilaplana V. Study of early stages of Alzheimer’s disease using magnetic resonance imaging. Signal Theory and Communications. [Barcelona]: Universitat Politècnica de Catalunya; 2019.
Bellot P. Study of Gene Regulatory Networks Inference Methods from Gene Expression Data. Salembier P. 2017.  (2.73 MB)
Salgueiro L, Vilaplana V, Marcello J. Super-resolution and semantic segmentation of remote sensing images using deep learning techniques. Signal Theory and Communications Department. 2022.
Salvador J. Surface Reconstruction for Multi-View Video. Casas J. Universitat Politècnica de Catalunya (UPC); 2011.  (4.74 MB)
Ruiz-Hidalgo J. On the Synergy between indexing and compression representations for video sequences. Salembier P. Universitat Politècnica de Catalunya (UPC); 2006.  (4.35 MB)
Landabaso J-L. A Unified Framework for Consistent 2D/3D Foreground Object Detection. Pardàs M. Universitat Politècnica de Catalunya (UPC); 2008.
Ventura C. Visual Object Analysis using Regions and Local Features. Giró-i-Nieto X, Vilaplana V, Marqués F. 2016.  (2.5 MB)
Unpublished
Ramon E. Deep Learning algorithms for 3D Reconstruction and Simulation of Aesthetic Procedures. Giró-i-Nieto X. 2018.
Bellver M, Giró-i-Nieto X, Marqués F. Efficient search of objects in images using deep reinforcement learning. NIPS Women in Machine Learning Workshop. Barcelona.; 2016.
Moreno D, Costa-jussà MR, Giró-i-Nieto X. English to ASL Translator for Speech2Signs. 2018.  (1.54 MB)
Mohedano E, McGuinness K, Giró-i-Nieto X, O'Connor N. Fine-tuning of CNN models for Instance Search with Pseudo-Relevance Feedback. Long Beach, CA, USA: NIPS 2017 Women in Machine Learning Workshop; 2017.  (341.96 KB)
Fernàndez D, Campos V, Jou B, Giró-i-Nieto X, 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.  (3.11 MB)
Bonet D. Improved Neural Network Generalization using Channel-Wise NNK Graph Constructions. Ortega A, Ruiz-Hidalgo J, Shekkizhar S. Final Year Project, UPC; 2021.  (3.67 MB)
Fernàndez D, Bou-Balust E, Giró-i-Nieto X. Multimodal Knowledge Base Population from News Streams for Media Applications. 2018.
Ramon E, Villar J, Ruiz G, Batard T, Giró-i-Nieto X. Plug-and-Train Loss for Model-Based Single View 3D Reconstruction. BMVA Technical Meeting: 3D vision with Deep Learning. London, UK: UPC; 2019.  (3.97 MB)
Web Article
Salvador A. Artificial intelligence suggests recipes based on food photos. Boston: MIT News; 2017.
Giró-i-Nieto X, Pascual-deLaPuente S, Miró V, Esteve O. La meitat de les notícies que consumirem el 2022 seran falses. Sant Joan Despí: Corporació Catalana de Mitjans Audiovisuals; 2017.
Salvador A. MIT is building a system that can identify a recipe using pictures of food. Techcrunch; 2017.
Salvador A. Snap a photo, get a recipe: pic2recipe uses AI to predict food ingredients. Digital Trends; 2017.

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