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Thesis
Dimiccoli M. Monocular Depth Estimation for Image Segmentation and Filtering. Salembier P. Universitat Politècnica de Catalunya (UPC); 2009.
Duarte A. Data and methods for a visual understanding of sign languages. Torres J, Giró-i-Nieto X. Signal Theory and Communications. 2022.
Report
Aguilar J. 2D-to-3D Lifting of Sign Language Body Poses with Recurrent Neural Networks. Giró-i-Nieto X, Duarte A. Barcelona: UPC ETSETB TelecomBCN; 2021 .  (340.44 KB)
Presentation
Giró-i-Nieto X, Duarte A. Towards Sign Language Translation and Production. 2022.
Patent
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.
Ms Thesis
Tubau M. Wav2Pix: Enhancement and Evaluation of a Speech-conditioned Image Generator. Duarte A, Giró-i-Nieto X. 2019.  (9.65 MB)
Compri M. Multi-label Remote Sensing Image Retrieval based on Deep Features. Demir B, Giró-i-Nieto X. 2017.  (1.99 MB)
de Oliveira-Barra G. LIvRE: A Video Extension to the LIRE Content-Based Image Retrieval System. Giró-i-Nieto X, Lux M. 2015.  (8.3 MB)
Muschik P. Learn2Sign : sign language recognition and translation using human keypoint estimation and transformer model. Duarte A, Giró-i-Nieto X. 2020.  (5.32 MB)
Domingo P. Interpretability of Deep Learning Models. Vilaplana V. 2019.
Domenech T. Hiding Images in their Spoken Narratives. McGuinness K, Pons J, Giró-i-Nieto X. 2022.  (15.23 MB)
Domenech T. Clasificación de imágenes dermatoscópicas utilizando Redes Neuronales Convolucionales e información de metadatos. Vilaplana V. 2019.
Roca S. Block-based Speech-to-Speech Translation. Duarte A, Giró-i-Nieto X. 2018.  (505.01 KB)
Journal Article
Pachón-García C, Hernandez C, Delicado P, Vilaplana V. SurvLIMEpy: A Python package implementing SurvLIME. Expert Systems With Applications. 2024;237, Part C.
Kuijf H, Biesbroek M, de Bresser J, Heinen R, Andermatt S, Bento M, et al.. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge. IEEE Transactions on Medical Imaging. 2019;.
Kuijf H, Biesbroek M, de Bresser J, Heinen R, Andermatt S, Bento M, et al.. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge. IEEE Transactions on Medical Imaging. 2019;.
Puig-Sitjes A, Jakubowski M, Naujoks D, Gao Y, Drewelow P, Niemann H, et al.. Real-time detection of overloads on the plasma-facing components of Wendelstein 7-X. Applied sciences (Basel). 2021;11(24).  (6.09 MB)
Metha R, Filos A, Baid U, Mora L, Vilaplana V, Davatzikos C, et al.. QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation--Analysis of Ranking Metrics and Benchmarking Results. Journal of Machine Learning for Biomedical Imaging. 2022;.
Plasencia AChávez, García-Gómez P, Pérez EBernal, de-Mas-Giménez G, Casas J, Royo S. A Preliminary Study of Deep Learning Sensor Fusion for Pedestrian Detection. Sensors. 2023;23(8).
Descampe A, Vleeschouwer D, Iregui M, Macq B, Marqués F. Prefetching and caching strategies for remote and interactive browsing of JPEG2000 images. IEEE transactions on image processing. 2007;16:1339–1354.
Dominguez A, Mas-Montserrat D, Bustamante C, Giró-i-Nieto X, Ioannidis AG. Neural ADMIXTURE: rapid population clustering with autoencoders. Nature Computational Science. 2023;.
Dimiccoli M, Gurrin C, Crandall D, Giró-i-Nieto X, Radeva P. Introduction to the special issue: Egocentric Vision and Lifelogging. Journal of Visual Communication and Image Representation. 2018;.  (116.21 KB)
Specia L, Barrault L, Caglayan O, Duarte A, Elliott D, Gella S, et al.. Grounded Sequence to Sequence Transduction. IEEE Journal of Selected Topics in Signal Processing. 2020;14(3):577-591.
de-Mas-Giménez G, García-Gómez P, Casas J, Royo S. Gradient-Based Metrics for the Evaluation of Image Defogging. World Electric Vehicle Journal. 2023;14(9).  (4.92 MB)
Caselles V, Donat R, Haro G. Flux-gradient and source-term balancing for certain high resolution shock-capturing schemes. Computers & Fluids. 2009;38(1):16 - 36.  (595.61 KB)

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