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E. S, Gasull A, Moreno A, Vallverdu F, Salavedra J, Oliveras A. Simulación digital de señales y sistemas analógicos. In III Congreso de Usuarios de MATLAB. 1999. pp. 67–76.
Escobar M. Object Model Adaptation for Multiple Object Tracking. Girbau A, Ventura C, Giró-i-Nieto X, Marqués F. 2021 .  (785.3 KB)
Escur J. Exploring Automatic Speech Recognition with TensorFlow. Costa-jussà MR, Giró-i-Nieto X. 2018.  (829.82 KB)
Escur J. Attention-based multi-view 3D reconstruction models. Ramon E, Giró-i-Nieto X. 2020.
Eugenio F, Marqués F, Suarez E, Rovaris E. A contour matching approach for accurate NOAA-AVHRR image navigation. In 10th European Signal Processing Conference (EUSIPCO 2000). 2000.
Eugenio F, Marqués F. Automatic satellite image georeferencing using a contour matching approach. IEEE transactions on geoscience and remote sensing. 2003;41:2869–2880.
Eugenio F, Marcello J, Marqués F. An automated multisensor satellite imagery registration technique based on the optimization of contour features. In IEEE International Geoscience and Remote Sensing Symposium 2004. 2004. pp. 1410–1413.
Eugenio F, Marqués F, Marcello J. Pixel and sub-pixel accuracy in satellite image georeferencing using an automatic contour matching approach. In IEEE International Conference on Image Processing. 2001.
Eugenio F, Marcello J, Marqués F, Hernandez-Guerra A, Rovaris E. A real-time automatic acquisition, processing and distribution system for AVHRR and SeaWIFS imagery. IEEE geoscience electronics society newsletter. 2001;-:10–15.
Eugenio F, Marqués F, Marcello J. A contour-based approach to automatic and accurate registration of multitemporal and multisensor satellite imagery. In International Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE. 2002. pp. 1–3.
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.
Eugenio F, Rovaris E, Marcello J, Marqués F. Automatic structures detection and spatial registration using multisensor satellite imagery. In Proceedings of the International Geoscience and Remote Sensing Symposium,. 2003. pp. 1038–1040.
Eugenio F, Marcello J, Marqués F. Marine coastal dynamic study using an automatic structure detection and spatial registration tool. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS-03). 2003. pp. 1–3.
F
Fernàndez D, Marqués F, Giró-i-Nieto X, Bou-Balust E. Knowledge graph population from news streams. Signal Theory and Communications. [Barcelona, Catalonia]: Universitat Politècnica de Catalunya; 2023.  (6.07 MB)
Fernàndez D, Bou E, Giró-i-Nieto X. VLX-Stories: building an online Event Knowledge Base with Emerging Entity detection. In The Semantic Web – ISWC 2019. Auckland, New Zealand: Springer, Cham; 2019. pp. 382-399.  (1.42 MB)
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)
Fernàndez D, Varas D, Espadaler J, Ferreira J, Woodward A, Rodríguez D, et al.. ViTS: Video Tagging System from Massive Web Multimedia Collections. In ICCV 2017 Workshop on Web-scale Vision and Social Media . Venice, Italy; 2017.  (1.18 MB)
Fernàndez D, Varas D, Bou E, Giró-i-Nieto X. What is going on in the world? A display platform for media understanding. In IEEE Multimedia Information Processing and Retrieval (MIPR) Conference. Miami, FL (USA): IEEE; 2018.  (700.85 KB)
Fernàndez D, Rimmek JMarco, Espadaler J, Garolera B, Barja A, Codina M, et al.. Enhancing Online Knowledge Graph Population with Semantic Knowledge. In 19th International Semantic Web Conference (ISWC). Virtual; 2020.
Fernàndez D, Bou-Balust E, Giró-i-Nieto X. Multimodal Knowledge Base Population from News Streams for Media Applications. 2018.
Fernàndez D. Clustering and Prediction of Adjective-Noun Pairs for Affective Computing. Campos V, Jou B, Giró-i-Nieto X, Chang S-F. 2016.  (10.38 MB)

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