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Author (down) M. Pros
Title Indexacio icònica amb 2D-String per al reconoixement de persones segons la seva vestimenta Type Report
Year 2000 Publication CVC Technical Report #44 Abbreviated Journal
Volume Issue Pages
Keywords
Abstract
Address CVC (UAB)
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number Admin @ si @ Pro2000 Serial 345
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Author (down) M. Navarro
Title Reconeixement d´objectes amb metodes basats en color: avaluacio en un entorn poc controlat Type Report
Year 1999 Publication CVC Technical Report #28 Abbreviated Journal
Volume Issue Pages
Keywords
Abstract
Address CVC (UAB)
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number Admin @ si @ Nav1999 Serial 190
Permanent link to this record
 
 
Author (down) M. Li; Xialei Liu; Joost Van de Weijer; Bogdan Raducanu
Title Learning to Rank for Active Learning: A Listwise Approach Type Conference Article
Year 2020 Publication 25th International Conference on Pattern Recognition Abbreviated Journal
Volume Issue Pages 5587-5594
Keywords
Abstract Active learning emerged as an alternative to alleviate the effort to label huge amount of data for data hungry applications (such as image/video indexing and retrieval, autonomous driving, etc.). The goal of active learning is to automatically select a number of unlabeled samples for annotation (according to a budget), based on an acquisition function, which indicates how valuable a sample is for training the model. The learning loss method is a task-agnostic approach which attaches a module to learn to predict the target loss of unlabeled data, and select data with the highest loss for labeling. In this work, we follow this strategy but we define the acquisition function as a learning to rank problem and rethink the structure of the loss prediction module, using a simple but effective listwise approach. Experimental results on four datasets demonstrate that our method outperforms recent state-of-the-art active learning approaches for both image classification and regression tasks.
Address Virtual; January 2021
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference ICPR
Notes LAMP; 600.120 Approved no
Call Number Admin @ si @ LLW2020a Serial 3511
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Author (down) M. Ivasic-Kos; M. Pobar; Jordi Gonzalez
Title Active Player Detection in Handball Videos Using Optical Flow and STIPs Based Measures Type Conference Article
Year 2019 Publication 13th International Conference on Signal Processing and Communication Systems Abbreviated Journal
Volume Issue Pages
Keywords
Abstract In handball videos recorded during the training, multiple players are present in the scene at the same time. Although they all might move and interact, not all players contribute to the currently relevant exercise nor practice the given handball techniques. The goal of this experiment is to automatically determine players on training footage that perform given handball techniques and are therefore considered active. It is a very challenging task for which a precise object detector is needed that can handle cluttered scenes with poor illumination, with many players present in different sizes and distances from the camera, partially occluded, moving fast. To determine which of the detected players are active, additional information is needed about the level of player activity. Since many handball actions are characterized by considerable changes in speed, position, and variations in the player's appearance, we propose using spatio-temporal interest points (STIPs) and optical flow (OF). Therefore, we propose an active player detection method combining the YOLO object detector and two activity measures based on STIPs and OF. The performance of the proposed method and activity measures are evaluated on a custom handball video dataset acquired during handball training lessons.
Address Gold Coast; Australia; December 2019
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference ICSPCS2
Notes ISE; 600.098; 600.119 Approved no
Call Number Admin @ si @ IPG2019 Serial 3415
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Author (down) M. Gonzalez-Audicana; Xavier Otazu; O. Fors; R Garcia; J. Nuñez
Title Fusion of different spatial and spectral resolution images: development, apllication and comparison of new methods based on wavelets. Type Miscellaneous
Year 2002 Publication Proceedings of the 1st. International Symposium Recent Advances in Quantitative Remote Sensing. Abbreviated Journal
Volume Issue Pages
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Abstract
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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Area Expedition Conference
Notes CIC Approved no
Call Number CAT @ cat @ GOF2002 Serial 291
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Author (down) M. Gonzalez-Audicana; Xavier Otazu; O. Fors; A. Seco
Title Comparison between Mallats and the trous discrete wavelet transform based algorithms for the fusion of multispectral and panchromatic images Type Journal
Year 2005 Publication International Journal of Remote Sensing, 26(3):595–614 (IF: 0.925) Abbreviated Journal
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Abstract
Address
Corporate Author Thesis
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Language Summary Language Original Title
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Notes CIC Approved no
Call Number CAT @ cat @ GOF2005 Serial 530
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Author (down) M. Gomez; J. Mauri; Eduard Fernandez-Nofrerias; Oriol Rodriguez-Leor; Carme Julia; Debora Gil; Petia Radeva
Title Reconstrucción de un modelo espacio-temporal de la luz del vaso a partir de secuencias de ecografía intracoronaria Type Conference Article
Year 2002 Publication XXXVIII Congreso Nacional de la Sociedad Española de Cardiología. Abbreviated Journal
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Abstract
Address
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Notes IAM;ADAS;MILAB Approved no
Call Number IAM @ iam @ GMF2002d Serial 1516
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Author (down) M. Gomez; J. Mauri; E. Fernandez-Nofrerias; Oriol Rodriguez-Leor; Carme Julia; Petia Radeva; David Rotger; V. Valle
Title Nuevos Avances para la correlacion de imagenes angiograficas y de ecograia intracoronaria. Type Miscellaneous
Year 2002 Publication Congreso de las Enfermedades Cardiovasculares, XXXVIII Congreso de la Sociedad Española de Cardiologia. Abbreviated Journal
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Abstract
Address Madrid, Espanya
Corporate Author Thesis
Publisher Place of Publication Editor
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ISSN ISBN Medium
Area Expedition Conference
Notes MILAB Approved no
Call Number BCNPCL @ bcnpcl @ GMF2002c Serial 309
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Author (down) M. Gomez; J. Mauri; E. Fernandez-Nofrerias; Oriol Rodriguez-Leor; Carme Julia; Oriol Pujol; Petia Radeva
Title Diferenciacion de las estructuras del vaso coronario mediante el procesamiento de imagenes y el analisis de las diferentes texturas a partir de la ecografia intracoronaria Type Journal
Year 2002 Publication XXXVIII Congreso Nacional de la Sociedad Española de Cardiologia Abbreviated Journal
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Abstract
Address Madrid
Corporate Author Thesis
Publisher Place of Publication Editor
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Series Editor Series Title Abbreviated Series Title
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Area Expedition Conference
Notes MILAB;HuPBA Approved no
Call Number BCNPCL @ bcnpcl @ GMF2002f Serial 433
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Author (down) M. Gomez; J. Mauri; E. Fernandez-Nofrerias; Oriol Rodriguez-Leor; Carme Julia; Misael Rosales; Petia Radeva
Title Modelo fisico para la simulacion de ultrasonido Intravascular. Type Journal
Year 2002 Publication XXXVIII Congreso Nacional de la Sociedad Española de Cardiologia. Abbreviated Journal
Volume Issue Pages
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Abstract
Address Madrid, Espanya
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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ISSN ISBN Medium
Area Expedition Conference
Notes MILAB Approved no
Call Number BCNPCL @ bcnpcl @ GMF2002b Serial 308
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Author (down) M. Gomez; J. Mauri; E. Fernandez-Nofrerias; Oriol Rodriguez-Leor; Carme Julia; David Rotger; Petia Radeva; V. Valle
Title Una nova aplicacio informatica per a la correlacio d imatges angiografiques i d ecografia intracoronaria. Type Journal
Year 2002 Publication Revista de la Societat Catalana de Cardiologia, 4(4): 42, XIV Congres de la Societat Catalana de Cardiologia. Abbreviated Journal
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Abstract
Address Barcelona, Espanya
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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Area Expedition Conference
Notes MILAB Approved no
Call Number BCNPCL @ bcnpcl @ GMF2002a Serial 307
Permanent link to this record
 
 
Author (down) M. Danelljan; Fahad Shahbaz Khan; Michael Felsberg; Joost Van de Weijer
Title Adaptive color attributes for real-time visual tracking Type Conference Article
Year 2014 Publication 27th IEEE Conference on Computer Vision and Pattern Recognition Abbreviated Journal
Volume Issue Pages 1090 - 1097
Keywords
Abstract Visual tracking is a challenging problem in computer vision. Most state-of-the-art visual trackers either rely on luminance information or use simple color representations for image description. Contrary to visual tracking, for object
recognition and detection, sophisticated color features when combined with luminance have shown to provide excellent performance. Due to the complexity of the tracking problem, the desired color feature should be computationally
efficient, and possess a certain amount of photometric invariance while maintaining high discriminative power.
This paper investigates the contribution of color in a tracking-by-detection framework. Our results suggest that color attributes provides superior performance for visual tracking. We further propose an adaptive low-dimensional
variant of color attributes. Both quantitative and attributebased evaluations are performed on 41 challenging benchmark color sequences. The proposed approach improves the baseline intensity-based tracker by 24% in median distance precision. Furthermore, we show that our approach outperforms
state-of-the-art tracking methods while running at more than 100 frames per second.
Address Nottingham; UK; September 2014
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference CVPR
Notes CIC; LAMP; 600.074; 600.079 Approved no
Call Number Admin @ si @ DKF2014 Serial 2509
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Author (down) M. Cruz; Cristhian A. Aguilera-Carrasco; Boris X. Vintimilla; Ricardo Toledo; Angel Sappa
Title Cross-spectral image registration and fusion: an evaluation study Type Conference Article
Year 2015 Publication 2nd International Conference on Machine Vision and Machine Learning Abbreviated Journal
Volume Issue Pages
Keywords multispectral imaging; image registration; data fusion; infrared and visible spectra
Abstract This paper presents a preliminary study on the registration and fusion of cross-spectral imaging. The objective is to evaluate the validity of widely used computer vision approaches when they are applied at different
spectral bands. In particular, we are interested in merging images from the infrared (both long wave infrared: LWIR and near infrared: NIR) and visible spectrum (VS). Experimental results with different data sets are presented.
Address Barcelona; July 2015
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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ISSN ISBN Medium
Area Expedition Conference MVML
Notes ADAS; 600.076 Approved no
Call Number Admin @ si @ CAV2015 Serial 2629
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Author (down) M. Campos-Taberner; Adriana Romero; Carlo Gatta; Gustavo Camps-Valls
Title Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination Type Conference Article
Year 2015 Publication IEEE International Geoscience and Remote Sensing Symposium IGARSS2015 Abbreviated Journal
Volume Issue Pages 4169 - 4172
Keywords
Abstract This paper studies the level of complementary information conveyed by extremely high resolution LiDAR and optical images. We pursue this goal following an indirect approach via unsupervised spatial-spectral feature extraction. We used a recently presented unsupervised convolutional neural network trained to enforce both population and lifetime spar-sity in the feature representation. We derived independent and joint feature representations, and analyzed the sparsity scores and the discriminative power. Interestingly, the obtained results revealed that the RGB+LiDAR representation is no longer sparse, and the derived basis functions merge color and elevation yielding a set of more expressive colored edge filters. The joint feature representation is also more discriminative when used for clustering and topological data visualization.
Address Milan; Italy; July 2015
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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ISSN ISBN Medium
Area Expedition Conference IGARSS
Notes LAMP; 600.079;MILAB Approved no
Call Number Admin @ si @ CRG2015 Serial 2724
Permanent link to this record
 
 
Author (down) M. Bressan; Jordi Vitria
Title Independent Modes of Variation in Point Distribution Models Type Miscellaneous
Year 2001 Publication In C. Arcelli, L.P. Cordella, G. Sanniti di Baja (Eds.): Visual Form 2001 4tth International Workshop on Visual Visual Form 2001 4tth International Workshop on Visual Form, IWVF4, Proceedings, LNCS 2059, Springer Verlag, 123 Abbreviated Journal
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Address Capri, Italia
Corporate Author Thesis
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Area Expedition Conference
Notes OR;MV Approved no
Call Number BCNPCL @ bcnpcl @ BVi2001 Serial 80
Permanent link to this record