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Conference Paper
Bellver M, Maninis K-K, Pont-Tuset J, Torres J, Giró-i-Nieto X, van Gool L. Detection-aided liver lesion segmentation using deep learning. In ML4H: Machine Learning for Health Workshop at NIPS 2017. 2017.  (1 MB)
Sayrol E, Soriano M, Fernandez M, Casanelles J, Tomàs J. Development of a platform offering video copyright protection and security against illegal distribution. In Security, Steganography, and Watermarking of Multimedia Contents. 2005. pp. 76–83.
Salembier P, O'Connor N, Correa P, Ward L. The DICEMAN description schemes for still images and video sequences. In Workshop on Image Analysis for Multimedia Application Services, WIAMIS’99. Berlin, Germany; 1999. pp. 25–34.  (718.69 KB)
Giró-i-Nieto X, Salla R, Vives X. Digimatge, a Rich Internet Application for video retrieval from a Multimedia Asset Management system. In 11th ACM SIGMM International Conference on Multimedia Information Retrieval. 2010.  (978.9 KB)
Combalia M, Pérez-Anker J, García-Herrera A, Alos L, Vilaplana V, Marques F, et al.. Digitally Stained Confocal Microscopy through Deep Learning. In International Conference on Medical Imaging with Deep Learning (MIDL 2019). London; 2019.
Casas J, Torres L. Diseño de filtros de imagen con funciones de transferencia. In VI Simposium Nacional de la Unión Científica Internacional de Radio. 1991. pp. 965–969.
Lin X, Campos V, Giró-i-Nieto X, Torres J, Canton-Ferrer C. Disentangling Motion, Foreground and Background Features in Videos. In CVPR 2017 Workshop Brave New Motion Representations. 2017.  (370.64 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)
Giró-i-Nieto X, Alfaro M, Marqués F. Diversity ranking for video retrieval from a broadcaster archive. In 1st ACM International Conference on Multimedia Retrieval (ICMR '11). 2011. pp. 1–8.  (1000.12 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)
Tacchini E, Morros JR, Vilaplana V, Sañoso E. Do you have a Pop face? Here is a Pop song. Using profile pictures to mitigate the cold-start problem in Music Recommender Systems. In 9th ACM Conference on Recommender Systems. 2015.  (172.94 KB)
Marsden M, Mohedano E, McGuinness K, Calafell A, Giró-i-Nieto X, O'Connor N, et al.. Dublin City University and Partners' Participation in the INS and VTT Tracks at TRECVid 2016. In TRECVID Workshop 2016. Gaithersburg, MD, USA; 2016.
Salembier P, Serra J, Bangham J. Edge versus contrast estimation of morphological filters. In IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1993. Mineapolis (MI), USA; 1993.
Giró-i-Nieto X, Marqués F, Casas J. The edition of the Wikipedia as an academic activity. In 4rt. Congrés Internacional de Docència Unversitària i Innovació. Barcelona, Catalonia; 2006. p. –.
Gasull A, Sayrol E, Moreno A, Vallverdu F, Salavedra J, Oliveras A. Editor gráfico de figuras MATLAB. In III Congreso de Usuarios de MATLAB. 1999. pp. 219–227.
Casas J, Torres L, Jareño M. Efficient coding of residual images. In SPIE Visual Communications '93. Cambridge, MA: SPIE; 1993. pp. 694–705.
Bonafonte A, Mariño J, Pardàs M. Efficient integration of coarticulation and lexical information .. In INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING. 1992. pp. 45–48.
Torres L, Casas J, Campins J. An efficient technique of texture representation in segmentation-based image coding schemes. In IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING. 1995. pp. 588–591.
Marqués F, Jofre L, Sole F, Sabate F, Berenguer J, Romeu J, et al.. El concepto NetCampus. In 3es Jornadas de la Cátedra Telefónica-UPC. 2005. pp. 15–20.
Gasull A, Torres L. Eleccion de componentes principales para la clasific. no supervisada de image. In IV Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes. 1990. pp. 9–16.
Pardàs M, Bonafonte A, Landabaso J-L. Emotion recognition based on MPEG-4 facial animation parameters. In IEEE International Conference on Acoustics, Speech, and Signal Processing. 2002. pp. 3624–3627.
Lobo A, Bas P, Marqués F. Enhanced audio data hiding synchronization using non-linear filter. In International Conference on Acoustics, Speech, and Signal Processing. 2004. pp. 885–888.
Gallego J, Pardàs M. Enhanced bayesian foreground segmentation using brightness and color distortion region-based model for shadow removal. In 2010 IEEE International Conference on Image Processing. 2010. pp. 3449–3452.
Anglada D, Sala J, Marqués F, Salembier P, Pardàs M. Enhancing Ki-67 Cell Segmentation with Dual U-Net Models: A Step Towards Uncertainty-Informed Active Learning. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. IEEE; 2024.  (838.72 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.

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