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Torres J, Sastre F, Yagües M, Campos V, Giró-i-Nieto X. Scaling a Convolutional Neural Network for classification of Adjective Noun Pairs with TensorFlow on GPU Clusters. In 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid). Madrid, Spain: IEEE; 2017.
Morros JR, Marqués F. Scalable segmentation-based coding of video sequences addressing content-based functionalities. In IEEE International Conference on Image Processing. Santa Barbara, USA: IEEE; 1997. pp. 1-4.  (536.33 KB)
Assens M, McGuinness K, Giró-i-Nieto X, O'Connor N. SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency Volumes. In ICCV Workshop on Egocentric Perception, Interaction and Computing. Venice, Italy: IEEE; 2017.  (2.34 MB)
Vilaplana V, Muntaner G. Salient Object Detection on a Hierarchy of Image Partitions. In IEEE Int. Conf. in Image Processing, ICIP 2013. Melbourne, Australia; 2013.
Mohedano E, McGuinness K, Giró-i-Nieto X, O'Connor N. Saliency Weighted Convolutional Features for Instance Search. In Content-Based Multimedia Indexing - CBMI. La Rochelle, France: IEEE; 2018.  (3.8 MB)
Vilaplana V. Saliency Maps on Image Hierarchies. Signal Processing: Image Communication. Special Issue on Recent Advances in Saliency Models, Applications and Evaluations. 2015;38:84-99.
Pan J, Canton-Ferrer C, McGuinness K, O'Connor N, Torres J, Sayrol E, et al.. SalGAN: Visual Saliency Prediction with Generative Adversarial Networks. In CVPR 2017 Scene Understanding Workshop (SUNw). Honolulu, Hawaii, USA; 2017.  (1.85 MB)
Bernal O, Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. SALAI-Net: species-agnostic local ancestry inference network. Bioinformatics. 2022;38.
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Ventura C, Bellver M, Girbau A, Salvador A, Marqués F, Giró-i-Nieto X. RVOS: End-to-End Recurrent Network for Video Object Segmentation. In CVPR. Long Beach, CA, USA: OpenCVF / IEEE; 2019.  (5.76 MB)
López J, Mercader M, Marqués F, Batiste O. Rotating convection: Eckhauss-Benjamin-Feir instability. In 59th Annual Meeting of the APS Division of Fluid Dynamics. 2006. pp. 2004–2004.
Landabaso J-L, Pardàs M, Xu L-Q. Robust Tracking and Object Classification Towards Automated Video Surveillance. In International Conference on Image Analysis and Recognition. 2004. pp. 46333–470.
Landabaso J-L, Xu L-Q, Pardàs M. Robust Tracking and Object Classification Towards Automated Video Surveillance. Lecture notes in computer science. 2004;3212:463–470.
Ruiz-Hidalgo J, Salembier P. Robust segmentation and representation of foreground key-regions in video sequences. In International Conference on Acoustics, Speech and Signal Processing ICASSP'01. Salt Lake City, USA; 2001. pp. 1565–1568.  (566.2 KB)
Salembier P, Sanson H. Robust motion estimation using connected operators. In IEEE International Conference on Image Processing, ICIP'97. Santa Barbara, USA; 1997. pp. 77–80.  (210.93 KB)
Ruiz-Hidalgo J, Bangham J, Harvey R. Robust morphological scale-space trees. In Noblesse Workshop on Non-Linear Model Based Image Analysis. 1998. pp. 133–139.  (4.89 MB)
Gallego J, Pardàs M. Robust 3D SFS reconstruction based on reliability maps. In ICIP, IEEE International Conference on Image Processing. 2014.  (7.46 MB)
Carcel E. Rich Internet Application for the Semi-Automatic Annotation of Semantic Shots on Keyframes. Giró-i-Nieto X, Vives X. 2011.  (6.58 MB)
Carcel E, Martos M, Giró-i-Nieto X, Marqués F. Rich Internet Application for Semi-automatic Annotation of Semantic Shots on Keyframes. In Computational Intelligence for Multimedia Understanding. Pisa, Italy: Springer-Verlag; 2012. pp. 172-182.  (6.93 MB)
Gullón N, Vilaplana V. Retinal lesions segmentation using CNNs and adversarial training. In International Symposium on Biomedical Imaging (ISBI 2019). 2019.
Gullón N. Retinal lesions segmentation using CNNs and adversarial training. Vilaplana V. 2018.
Casas J, Torres L. Residual image coding using mathematical morphology. In IEEE International Conference on Acoustics, Speech and Signal Processing. 1994. pp. 597–600.
Mosella-Montoro A, Ruiz-Hidalgo J. Residual Attention Graph Convolutional Network for Geometric 3D Scene Classification. In IEEE Conference on Computer Vision Workshop (ICCVW). Seoul, Korea: IEEE; 2019.  (314.43 KB)
Fojo D. Reproducing and Analyzing Adaptive Computation Time in PyTorch and TensorFlow. Campos V, Giró-i-Nieto X. 2018.  (1.41 MB)
Garrido L, Salembier P, Casas J. Representing and retrieving regions using binary partition trees. In 1999 IEEE International Conference on Image Processing, ICIP 1999. Kobe, Japan; 1999.  (140.31 KB)
Ruiz-Hidalgo J. The representation of images using scale trees. University of East Anglia; 1999 .  (2.33 MB)

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