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Campos V, Jou B, Giró-i-Nieto X, Torres J, Chang S-F. Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks. In International Conference on Learning Representations (ICLR). 2018.

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Campos V, Jou B, Giró-i-Nieto X, Torres J, Chang S-F. Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks. In NIPS Time Series Workshop 2017. Long Beach, CA, USA; 2017.

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• BibTex

 (427.72 KB)

Caminal I, Casas J, Royo S. SLAM-based 3D outdoor reconstructions from LIDAR data. In IC3D. Brussels, Belgium: IEEE; 2018.

• Google Scholar
• BibTex

 (3.21 MB)

Salvador A. Snap a photo, get a recipe: pic2recipe uses AI to predict food ingredients. Digital Trends; 2017.

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Giró-i-Nieto X, Camps N. Solucions de programari lliure en un projecte d'adaptació de dades a XML. In V Jornades de Programari Lliure de la UPC. 2006.

• Google Scholar
• BibTex

Cuadras C, Valero S, Salembier P, Chanussot J. Some measures of multivariate association relating two spectral data sets. In 19th International Conference on Computational Statistics, COMSTAT 2010. Paris, France; 2010.

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Casas J, Puig-Sitjes A, Puig-Folch P. Spatial-temporal Video Analysis for Improved Pedestrian Detection: Application to Density Estimation and Tracking in Demonstrations. In Image Analysis for Multimedia Interactive Services. 2004. pp. 334–346.

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Canton-Ferrer C, Casas J, Pardàs M. Spatio-temporal alignment and hyperspherical radon transform for 3D gait recognition in multi-view environments. In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2010. pp. 116–121.

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Puig-Sitjes A, Casas J, Salembier P, Vizcarro D, Clemente R, Jakubowski M, et al.. Spatio-temporal Detection and Tracking of Thermal Events on the Plasma Facing Components of Wendelstein 7-X. In 4th IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis. Shanghai (online): iaea.org; 2021.

• Google Scholar
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Luque B, Morros JR, Ruiz-Hidalgo J. Spatio-Temporal Road Detection from Aerial Imagery using CNNs. In International Conference on Computer Vision Theory and Applications. Porto, Portugal; 2017.

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 (6.14 MB)

Oriol B. Species-agnostic Local Ancestry Inference on Genomic Data with Convolutions. Mas-Montserrat D, Ioannidis AG, Giró-i-Nieto X. 2021.

• Google Scholar
• BibTex

Roldán F. Speech-conditioned Face Generation with Deep Adversarial Networks. Pascual-deLaPuente S, Salvador A, McGuinness K, Giró-i-Nieto X. 2018.

• Google Scholar
• BibTex

 (1.79 MB)

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.

• Google Scholar
• BibTex

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;.

• DOI
• Google Scholar
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Oliveras A, Garrido L, Salembier P. Stereo image analyis using connected operators. In IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1997. Munich, Germany; 1997. pp. 3169–3172.

• Google Scholar
• BibTex

 (213.59 KB)

Marqués F, Gasull A. Stochastic image model for segmentation. application to image coding. In SCANDINAVIAN CONFERENCE ON IMAGE ANALYSIS. 1993. pp. 265–272.

• Google Scholar
• BibTex

Alcoverro M. Stochastic optimization and interactive machine learning for human motion analysis. Pardàs M, Casas J. Signal Theory and Communications. [Barcelona]: UPC; 2014.

• Google Scholar
• BibTex

 (17.16 MB)

Torres L, Casas J, Arias E. Stochastic vector quantization of images. Signal Processing. 1997;62(3):291–301.

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Puig-Sitjes A, Jakubowski M, Fellinger J, Drewelow P, Gao Y, Niemann H, et al.. Strategy for the real-time detection of thermal events on the plasma facing components of Wendelstein 7-X. In 31st Symposium on Fusion Technology (SOFT2020). Dubrovnik, Croatia; 2020.

• Google Scholar
• BibTex

Haro G, Randall G, Sapiro G. Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds. In Neural Information Processing Systems NIPS. Montreal: NIPS; 2007.

• Google Scholar
• BibTex

 (702.08 KB)

Pardàs M, Anglada D, Espina M, Marques F, Salembier P. Stromal tissue segmentation in Ki67 histology images based on cytokeratin-19 stain translation. JOURNAL OF MEDICAL IMAGING. 2023;10(3).

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 (13.78 MB)

Casas J, Torres L. Strong edge features for image coding. In: Schafer RW, Maragos P, Butt MA. Mathematical Morphology and its Applications to Image and Signal Processing. Boston: Springer; 1996. pp. 443–450.

• DOI
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Casas J, Torres L. Strong edge features for image coding. In International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing III. 1996. pp. 443–450.

• Google Scholar
• BibTex

Pina O, Cumplido-Mayoral I, Cacciaglia R, González-de-Echávarri JMaría, Gispert JD, Vilaplana V. Structural Networks for Brain Age Prediction. In Medical Imaging with Deep Learning (MIDL 2022). 2022.

• Google Scholar
• BibTex

Salembier P, Benitez AB. Structure description tools. Journal of the American Society for Information Science. 2007;58:1329–1337.

• Google Scholar
• BibTex

 (722.43 KB)