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Porta S. Rapid Serial Visual Presentation for Relevance Feedback in Image Retrieval with EEG Signals. Salvador A, Mohedano E, Giró-i-Nieto X, O'Connor N. 2015.  (1.38 MB)
Canton-Ferrer C, Casas J, Pardàs M. Real-time 3D multi-person tracking using Monte Carlo surface sampling. In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2010. pp. 40–46.
Eugenio F, Marcello J, Marqués F, Hernandez-Guerra A, Rovaris E. A real-time automatic acquisition, processing and distribution system for AVHRR and SeaWIFS imagery. IEEE geoscience electronics society newsletter. 2001;-:10–15.
Alcoverro M, López-Méndez A, Casas J, Pardàs M. A real-time body tracking system for smart rooms. In ICME - 2011 IEEE International Conference on Multimedia and Expo. 2011. pp. 1–6.
Puig-Sitjes A, Jakubowski M, Naujoks D, Gao Y, Drewelow P, Niemann H, et al.. Real-time detection of overloads on the plasma-facing components of Wendelstein 7-X. Applied sciences (Basel). 2021;11(24).  (6.09 MB)
Suau X, Alcoverro M, López-Méndez A, Ruiz-Hidalgo J, Casas J. Real-time Fingertip Localization Conditioned on Hand Gesture Classification. Image and Vision Computing. 2014;32(8):522 - 532.  (2.66 MB)
Suau X, Casas J, Ruiz-Hidalgo J. Real-time head and hand tracking based on 2.5D data. In ICME - 2011 IEEE International Conference on Multimedia and Expo. 2011. pp. 1–6.  (1.59 MB)
Suau X, Ruiz-Hidalgo J, Casas J. Real-time head and hand tracking based on 2.5D data. IEEE Transactions on Multimedia . 2012;14(3):575-585 .  (4.88 MB)
Morros JR, Broquetas A, Mateo A, Puig J, Davins M. Real-time lane classification and accident detection for safer micromobility. In 11th Internationa Congress on Transportation Research. Heraklion, Crete; 2023.  (2.28 MB)
López-Méndez A, Alcoverro M, Pardàs M, Casas J. Real-time upper body tracking with online initialization using a range sensor. In 2011 IEEE International Conference on Computer VIsion Workshops (ICCV Workshops). 2011. pp. 391–398.  (912.22 KB)
Molina J, Escudero-Viñolo M, Signorelo A, Pardàs M, Ferran C, Bescós J, et al.. Real-time user independent hand gesture recognition from time-of-flight camera video using static and dynamic models. Machine vision and applications. 2013;24(1):187–204.
López Ldel Pino. Reconstrucció de la forma del rostre a partir de contorns. Vilaplana V, Morros JRamon. 2015.
Landabaso J-L, Pardàs M, Casas J. Reconstruction of 3D shapes considering inconsistent 2D silhouettes. In International Conference on Image Processing. 2006. pp. 1–4.
Herrera-Palacio A, Ventura C, Silberer C, Sorodoc I-T, Boleda G, Giró-i-Nieto X. Recurrent Instance Segmentation using Sequences of Referring Expressions. In NeurIPS workshop on Visually Grounded Interaction and Language (ViGIL). Vancouver, Canada; 2019.  (1.13 MB)
Herrera-Palacio A. Recurrent Instance Segmentation with Linguistic Referring Expressions. Giró-i-Nieto X, Ventura C, Silberer C. 2019.  (3.6 MB)
Salvador A, Bellver M, Baradad M, Campos V, Marqués F, Torres J, et al.. Recurrent Neural Networks for Semantic Instance Segmentation. In ECCV 2018 Women in Computer Vision (WiCV) Workshop. 2018.  (2.55 MB)
Salvador A, Bellver M, Baradad M, Campos V, Marqués F, Torres J, et al.. Recurrent Neural Networks for Semantic Instance Segmentation. In CVPR 2018 DeepVision Workshop. 2018.  (199.14 KB)
Salvador A, Baradad M, Giró-i-Nieto X, Marqués F. Recurrent Semantic Instance Segmentation. In NIPS 2017 Women in Machine Learning Workshop (WiML). Long Beach, CA, USA: NIPS 2017 Women in Machine Learning Workshop; 2017.  (1.15 MB)
Marqués F, Vera V, Gasull A. Recursive image sequence segmentation by hierarchical models. In 12th IAPR International Conference on Pattern Recognition. 1994. pp. 523–525.
Pardàs M, Canet G. Refinement network for unsupervised on the scene foreground segmentation. In EUSIPCO European Signal Processing Conference. European Association for Signal Processing (EURASIP); 2020.
Bellver-Bueno M, Ventura C, Silberer C, Kazakos I, Torres J, Giró-i-Nieto X. RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation. Multimedia Tools and Applications. 2022;.  (5.78 MB)
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.
Gallego J, Pardàs M. Region Based Foreground Segmentation Combinig Color and Depth Sensors Via Logarithmic Opinion Pool Decision. Journal of Visual Communication and Image Representation. 2013;.
Calderero F, Marqués F. Region merging parameter dependency as information diversity to create sparse hierarchies of partitions. In 2010 IEEE International Conference on Image Processing. 2010. pp. 2237–2240.
Calderero F, Marqués F. Region merging techniques using information theory statistical measures. IEEE transactions on image processing. 2010;19:1567–1586.

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