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2016
Lin X, Casas J, Pardàs M. 3D Point Cloud Segmentation Oriented to The Analysis of Interactions. In The 24th European Signal Processing Conference (EUSIPCO 2016). Budapest, Hungary: Eurasip; 2016.  (10.54 MB)
Lin X, Casas J, Pardàs M. 3D Point Cloud Video Segmentation Based on Interaction Analysis. In ECCV 2016: Computer Vision – ECCV 2016 Workshops. Amsterdam: Springer; 2016. pp. 821 - 835.  (10 MB)
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. Antipodally Invariant Metrics For Fast Regression-Based Super-Resolution. IEEE Transactions on Image Processing. 2016;25(6):2468.  (5.48 MB)
Poignant J, Budnik M, Bredin H, Barras C, Stefas M, Bruneau P, et al.. The CAMOMILE Collaborative Annotation Platform for Multi-modal, Multi-lingual and Multi-media Documents. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). Portorož (Slovenia); 2016.  (679.91 KB)
Lin X, Casas J, Pardàs M. Graph based Dynamic Segmentation of Generic Objects in 3D. In CVPR SUNw: Scene Understanding Workshop. Las Vegas, US; 2016.  (956.15 KB)
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. Half Hypersphere Confinement for Piecewise Linear Regression. In IEEE Winter Conference on Applications of Computer Vision. Lake Placid, NY, USA; 2016.  (7.01 MB)
Casanova A, Pujol-Miró A, Ruiz-Hidalgo J, Casas J. Interactive Registration Method for 3D data Fusion. In IC3D. Liège, Belgium: IEEE; 2016.  (2.04 MB)
Puch S. Nonlinear analysis toolbox for neurodegenerative diseases and aging. Vilaplana V. 2016.  (9.74 MB)
Masuda-Mora I. Open-Ended Visual Question-Answering. Pascual-deLaPuente S, Giró-i-Nieto X. 2016.  (7.03 MB)
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. PSyCo: Manifold Span Reduction for Super Resolution. In IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, Nevada, USA; 2016.  (1.56 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)
Pont-Tuset J, Marqués F. Supervised Evaluation of Image Segmentation and Object Proposal Techniques. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2016;38(7):1465 - 1478.
Montes A, Salvador A, Pascual-deLaPuente S, Giró-i-Nieto X. Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks. In 1st NIPS Workshop on Large Scale Computer Vision Systems 2016. 2016.  (5.66 MB)
Masuda-Mora I, Pascual-deLaPuente S, Giró-i-Nieto X. Towards Automatic Generation of Question Answer Pairs from Images. Las Vegas, NV, USA: Visual Question Answering Challenge Workshop, CVPR 2016; 2016 .  (206.92 KB)
Puch S, Aduriz A, Casamitjana A, Vilaplana V, Gispert JD. Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling. In NIPS 2016 Workshop on Machine Learning for Health. 2016.  (1.6 MB)
2015
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. Accelerating Super-Resolution for 4K Upscaling. In IEEE International Conference on Consumer Electronics. Las Vegas, NV, USA; 2015.  (1.07 MB)
Panizo E. Classification techniques for Alzheimer’s disease early diagnosis. Vilaplana V. 2015.  (5.86 MB)
Pan J, Giró-i-Nieto X. End-to-end Convolutional Network for Saliency Prediction. Large-scale Scene Understanding Challenge (LSUN) at CVPR Workshops . Boston, MA (USA): arXiv; 2015 .  (1.18 MB)
Mohedano E, Salvador A, Porta S, Giró-i-Nieto X, McGuinness K, Healy G, et al.. Exploring EEG for Object Detection and Retrieval. In ACM International Conference on Multimedia Retrieval (ICMR) . Shanghai, China; 2015.  (5.37 MB)
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.
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.
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.
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)
Lin X, Casas J, Pardàs M. Time consistent estimation of End-effectors from RGB-D data. In Image and Video Technology: 7th Pacific-Rim Symposium, PSIVT 2015, Auckland, New Zealand, November 25-27, 2015, Revised Selected Papers. Cham: Springer International Publishing; 2015. pp. 529-543.  (2.22 MB)
Pan J. Visual Saliency Prediction using Deep learning Techniques. Giró-i-Nieto X. 2015.  (1.57 MB)

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