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Reyes C, Mohedano E, McGuinness K, O'Connor NE, Giró-i-Nieto X. Where is my Phone? Personal Object Retrieval from Egocentric Images. In Lifelogging Tools and Applications Workshop in ACM Multimedia. Amsterdam, The Netherlands: ACM; 2016.  (1.43 MB)
Reyes C, Mohedano E, McGuinness K, O'Connor N, Giró-i-Nieto X. Where did I leave my phone ?. Las Vegas, NV, USA: 4th Workshop on Egocentric (First-Person) Vision, CVPR 2016; 2016 .  (312.27 KB)
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Lleida E, Oliveras A, Nadeu C, Mariño J. Two level c.s.r. using demisyllable. In EUROPEAN CONF. ON SPEECH COMMUN. AND TECHN. EUROSPEECH'91. 1991. pp. 1199–1202.
Oriol B, Luque J, Diego F, Giró-i-Nieto X. Transcription-Enriched Joint Embeddings or Spoken Descriptions of Images and Videos. In CVPR 2020 Workshop on Egocentric Perception, Interaction and Computing. Seattle, WA, USA: arXiv; 2020.  (96.79 KB)
Le N, Bredin H, Sargent G, India M, Lopez-Otero P, Barras C, et al.. Towards large scale multimedia indexing: A case study on person discovery in broadcast news. In International Workshop on Content-Based Multimedia Indexing - CBMI 2017. Firenze, Italy; 2017.  (831.12 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.
Assens M. The Temporal Dimension of Visual Attention Models. McGuinness K, Giró-i-Nieto X, O'Connor NE. 2017.  (6.98 MB)
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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)
Hurtado C, Shekkizhar S, Ruiz-Hidalgo J, Ortega A. Study of Manifold Geometry using Multiscale Non-Negative Kernel Graphs. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Rhodes Island, Greece; 2023.  (1.4 MB)
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)
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;.
Oriol B. Species-agnostic Local Ancestry Inference on Genomic Data with Convolutions. Mas-Montserrat D, Ioannidis AG, Giró-i-Nieto X. 2021.
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.
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)
Nadeu C, Oliveras A, Mariño J. Simbad:a tool for speech analysis and synthesis. In IASTED INT.CONF.SIGNAL PROC.&DIG.FILT. 1990.
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)
Assens M, McGuinness K, O'Connor N, Giró-i-Nieto X. Scanpath and Saliency Prediction on 360 Degree Images. Elsevier Signal Processing: Image Communication. 2018;.  (2.61 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)
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)
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)

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