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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.
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)
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.
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.
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)
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)
Herrera-Palacio A. Recurrent Instance Segmentation with Linguistic Referring Expressions. Giró-i-Nieto X, Ventura C, Silberer C. 2019.  (3.6 MB)
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)
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.
López Ldel Pino. Reconstrucció de la forma del rostre a partir de contorns. Vilaplana V, Morros JRamon. 2015.
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-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)
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)
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)
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).
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.
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.
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.
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)
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Metha R, Filos A, Baid U, Mora L, Vilaplana V, Davatzikos C, et al.. QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation--Analysis of Ranking Metrics and Benchmarking Results. Journal of Machine Learning for Biomedical Imaging. 2022;.
Bonet-Carne E, Palacio M, Cobo T, Perez-Moreno A, Lopez M, Piraquive JP, et al.. Quantitative Ultrasound Texture Analysis of Fetal Lungs To Predict Neonatal Respiratory Morbidity. Ultrasound in Obstetrics and Gynecology, Wiley. 2014;44.
Bonet-Carne E, Palacio M, Cobo T, Perez-Moreno A, Lopez M, Piraquive JP, et al.. Quantitative Ultrasound Texture Analysis of Fetal Lungs To Predict Neonatal Respiratory Morbidity. Ultrasound in Obstetrics and Gynecology, Wiley. 2015;45(4):427–433.
Cabezas F, Carlier A, Salvador A, Giró-i-Nieto X, Charvillat V. Quality Control in Crowdsourced Object Segmentation. In IEEE International Conference on Image Processing (ICIP), 2015. 2015.  (362.33 KB)

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