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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).
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)
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 CVPR 2018 DeepVision Workshop. 2018.  (199.14 KB)
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, 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.

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