Search Publication

Export 87 results:
[ Author(Asc)] Title Type Year
Filters: First Letter Of Last Name is P  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
P
Puntí C. PixInPix: Hidding Pixels in Pixels. McGuinness K, Canton-Ferrer C, Giró-i-Nieto X. 2020.  (2.13 MB)
Pujol-Miró A, Casas J, Ruiz-Hidalgo J. Correspondence matching in unorganized 3D point clouds using Convolutional Neural Networks. Image and Vision Computing. 2019;83-84.  (3.95 MB)
Pujol-Miró A, Ruiz-Hidalgo J, Casas J. Registration of Images to Unorganized 3D Point Clouds Using Contour Cues. In The 25th European Signal Processing Conference (EUSIPCO 2017). Kos island, Greece: Eurasip; 2017.  (3.14 MB)
Pujol-Miró A. Learning to extract features for 2D-3D multimodal registration. Casas J, Ruiz-Hidalgo J. Universitat Politècnica de Catalunya (UPC); 2020.  (14.22 MB)
Puig-Sitjes A, Jakubowski M, Fellinger J, Drewelow P, Gao Y, Niemann H, et al.. Strategy for the real-time detection of thermal events on the plasma facing components of Wendelstein 7-X. In 31st Symposium on Fusion Technology (SOFT2020). Dubrovnik, Croatia; 2020.
Puig-Sitjes A, Casas J, Salembier P, Vizcarro D, Clemente R, Jakubowski M, et al.. Spatio-temporal Detection and Tracking of Thermal Events on the Plasma Facing Components of Wendelstein 7-X. In 4th IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis. Shanghai (online): iaea.org; 2021.
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)
Puch S. Nonlinear analysis toolbox for neurodegenerative diseases and aging. Vilaplana V. 2016.  (9.74 MB)
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)
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)
Pont-Tuset J, Marqués F. Supervised Assessment of Segmentation Hierarchies. In European Conference on Computer Vision (ECCV). 2012.  (421.65 KB)
Pont-Tuset J, Marqués F. Contour detection using binary partition trees. In IEEE International Conference on Image Processing. 2010. pp. 1609–1612.
Pont-Tuset J. Image Segmentation Evaluation and Its Application to Object Detection. Marqués F. [Barcelona]: Universitat Politècnica de Catalunya, BarcelonaTech; 2014.  (48.44 MB)
Pont-Tuset J, Marqués F. Upper-bound assessment of the spatial accuracy of hierarchical region-based image representations. In IEEE International Conference on Acoustics, Speech, and Signal Processing. 2012. pp. 865-868.
Pont-Tuset J, Marqués F. Measures and Meta-Measures for the Supervised Evaluation of Image Segmentation. In Computer Vision and Pattern Recognition (CVPR). 2013.  (909.27 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.
Pont-Tuset J, Arbelaez P, Barron JT, Marqués F, Malik J. Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2017;38(7):128-140.
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)
Podlipnik S, Hernandez C, Kiroglu A, García S, Ficapal J, Burgos J, et al.. Personalized medicine in melanoma patients aided by artificial intelligence. In Clinical Translation of Medical Image Computing and Computer Assisted Interventions (CLINICCAI) Workshop at MICCAI. 2021.
Plasencia AChávez, García-Gómez P, Pérez EBernal, de-Mas-Giménez G, Casas J, Royo S. A Preliminary Study of Deep Learning Sensor Fusion for Pedestrian Detection. Sensors. 2023;23(8).
Pineda N, Jorge J, Garrido L, Salembier P. Estudio de campos de golf mediante técnicas de segmentación. In IX Congreso Nacional de Teledetección. Lleida, Spain; 2001.  (130.37 KB)
Pinazo J, Lerín A, de Gibert FXavier, Moliner Á, Sevilla D, Jurado A, et al.. Perception in the era of Autonomous Vehicles. In Photonics 4 Smart Cities, SCEWC 2022. Barcelona: Photonics21; 2022.  (2.34 MB)
Pina O, Cumplido-Mayoral I, Cacciaglia R, González-de-Echávarri JMaría, Gispert JD, Vilaplana V. Structural Networks for Brain Age Prediction. In Medical Imaging with Deep Learning (MIDL 2022). 2022.
Pina O, Vilaplana V. Feature propagation as self-supervision signals on graphs. Knowledge-Based Systems. Submitted;.
Pina O, Vilaplana V. Self-supervised graph representations of WSIs. In Geometric Deep Learning in Medical Image Analysis. 2022.

Pages