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Conference Paper
Salvador A, Hynes N, Aytar Y, Marin J, Ofli F, Weber I, et al.. Learning Cross-modal Embeddings for Cooking Recipes and Food Images. In CVPR. Honolulu, Hawaii, USA: CVF / IEEE; 2017.  (3.37 MB)
Petrone P, Vilaplana V, Casamitjana A, Tucholka A, Falcon C, Cacciaglia R, et al.. Magnetic Resonance Imaging as a valuable tool for Alzheimer's disease screening. In Alzheimer’s Association International Conference, London, 2017. 2017.
Oliveras A. Maximum likelihood factor analysis in malaria cytokines analysis and modelling. In IEEE International Workshop on Genomic Signal Processing and Statistics. 2009.
Bosio M, Bellot P, Salembier P, Oliveras A. Microarray classification with hierarchical data representation and novel feature selection criteria. In IEEE 12th International Conference on BioInformatics and BioEngineering. Larnaca, Cyprus; 2012.  (513.59 KB)
Rolón J, Ortega A, Salembier P. Modeling of contours in wavelet domain for generalized lifting image compression. In IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009. Taipei, Taiwan; 2009.  (226.33 KB)
Garrido L, Oliveras A, Salembier P. Motion analysis of image sequences using connected operators. In SPIE Visual Communications and Image Processing, VCIP'97. San Jose, CA, USA; 1997. pp. 546–557.  (271.86 KB)
Salembier P, Oliveras A, Garrido L. Motion connected operators for image sequences. In VIII European Signal Processing Conference, EUSIPCO'96. Trieste, Italy; 1996. pp. 1083–1086.  (298.97 KB)
Bosio M, Bellot P, Salembier P, Oliveras A. Multiclass cancer microarray classification algorithm with Pair-Against-All redundancy. In The 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS’12). Washington, DC, USA; 2012.
Calderero F, Marqués F, Ortega A. Multiple view region matching using as a Lagrangian optimization problem. In 2007 International Conference on Acoustics, Speech and Signal Processing. 2007.
Mohedano E, Healy G, McGuinness K, Giró-i-Nieto X, O'Connor N, Smeaton AF. Object segmentation in images using EEG signals. In ACM Multimedia. Orlando, Florida (USA); 2014.
Assens M, McGuinness K, Giró-i-Nieto X, O'Connor N. PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks. In ECCV 2018 Workshop on Egocentric Perception, Interaction and Compution (EPIC). Munich, Germany: Springer; 2018.  (3.78 MB)
Calderero F, Marqués F, Ortega A. Performance evaluation of probability density estimators for unsupervised information theoretical region merging. In 16th International Conference on Image Processing. 2009. pp. 4397–4400.
Salembier P, Oliveras A. Practical extensions of connected operators. In International Symposium on Mathematical Morphology, ISMM 1996. Atlanta (GA), USA; 1996. pp. 97–110.  (368.26 KB)
Bragos R, Alarcón E, Cabrera M, Calveras A, Comellas J, O'Callaghan J, et al.. Proceso de inversión de competencias genéricas en los nuevos planes de estudios de grado de la ETSETB de acuerdo con el modelo CDIO. In IX Congreso de Tecnologías Aplicadas a la Enseñanza de la Electrónica. 2010. pp. 1–9.
O'Connor N, Sav S, Adamek T, Mezaris V, Kompatsiaris I, Lui T, et al.. Region and object segmentation algorithms in the QIMERA segmentation platform. In Third International Workshop on Content-Based Multimedia Indexing. 2003. pp. 95–103.
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)
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)
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)
Pan J, McGuinness K, Sayrol E, O'Connor N, Giró-i-Nieto X. Shallow and Deep Convolutional Networks for Saliency Prediction. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR. Las Vegas, NV, USA: Computer Vision Foundation / IEEE; 2016.  (466.13 KB)
Nadeu C, Oliveras A, Mariño J. Simbad:a tool for speech analysis and synthesis. In IASTED INT.CONF.SIGNAL PROC.&DIG.FILT. 1990.
Linardos P, Mohedano E, Nieto JJosé, O'Connor N, Giró-i-Nieto X, McGuinness K. Simple vs complex temporal recurrences for video saliency prediction. In British Machine Vision Conference (BMVC). Cardiff, Wales / UK.: British Machine Vision Association; 2019.  (1.79 MB)
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.
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.  (213.59 KB)
Bellot P, Salembier P, Oliveras A, Meyer PE. Study of Normalization and Aggregation Approaches for Consensus Network Estimation. In 2015 IEEE Symposium Series on Computational Intelligence: IEEE Symposium on Artificial Life (2015 IEEE ALIFE). Cape Town, South Africa; 2015.  (317 KB)
Oliveras A, Fuertes J, Villà R. Tou - Brazo Robot Asistencial: Control Verbal. In 2º Congreso de la Asociación Española de Robótica. 1991. pp. 93–100.

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