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Author Patricia Suarez; Dario Carpio; Angel Sappa edit  url
openurl 
  Title A Deep Learning Based Approach for Synthesizing Realistic Depth Maps Type Conference Article
  Year 2023 Publication 22nd International Conference on Image Analysis and Processing Abbreviated Journal  
  Volume 14234 Issue Pages 369–380  
  Keywords  
  Abstract This paper presents a novel cycle generative adversarial network (CycleGAN) architecture for synthesizing high-quality depth maps from a given monocular image. The proposed architecture uses multiple loss functions, including cycle consistency, contrastive, identity, and least square losses, to enable the generation of realistic and high-fidelity depth maps. The proposed approach addresses this challenge by synthesizing depth maps from RGB images without requiring paired training data. Comparisons with several state-of-the-art approaches are provided showing the proposed approach overcome other approaches both in terms of quantitative metrics and visual quality.  
  Address (up) Udine; Italia; Setember 2023  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference ICIAP  
  Notes MSIAU Approved no  
  Call Number Admin @ si @ SCS2023a Serial 3968  
Permanent link to this record
 
 
Author Jordi Vitria; J. Llacer edit  openurl
  Title Recovering Depth from Focus Using Iterative image Estimation Techniques. Type Miscellaneous
  Year 1993 Publication Tech.Report BL–35158, Lawrence Berkeley Laboratory. Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address (up) University of California; Berkeley; USA;  
  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 OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ ViL1993 Serial 142  
Permanent link to this record
 
 
Author Lubomir Latchev; Maya Dimitrova; David Rotger edit  openurl
  Title A Classifier of Technical Diagnostic States of Electrocardiograph Type Miscellaneous
  Year 2006 Publication International Conference on Computer Systems and Technologies (CompSysTech´06), 15.1–15.6 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address (up) University of Veliko Tarnovo (Bulgaria)  
  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 @ LDR2006 Serial 774  
Permanent link to this record
 
 
Author Jordi Gonzalez; Javier Varona; Xavier Roca; Juan J. Villanueva edit  openurl
  Title Human Activity Learning and Recognition from Appearance. Type Miscellaneous
  Year 2001 Publication World Multiconference on Systemics, Cybernetics and Informatics SCI 2001, XIII:463–466 Abbreviated Journal  
  Volume Issue Pages  
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  Abstract  
  Address (up) USA  
  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 ISE Approved no  
  Call Number ISE @ ise @ GVR2001 Serial 108  
Permanent link to this record
 
 
Author Josep Llados; Felipe Lumbreras; V. Chapaprieta; J. Queralt edit  openurl
  Title ICAR: Identity Card Automatic Reader. Type Miscellaneous
  Year 2001 Publication Sixth International Conference on Document Analysis and Recognition Abbreviated Journal ICDAR 2001  
  Volume Issue Pages 470–474  
  Keywords  
  Abstract  
  Address (up) USA  
  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 ADAS;DAG Approved no  
  Call Number ADAS @ adas @ LLC2001 Serial 112  
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Author Gemma Sanchez; Josep Llados edit  openurl
  Title A Graph Grammar to Recognize Textured Symbols. Type Miscellaneous
  Year 2001 Publication Sixth International Conference on Document Analysis and Recognition, ICDAR 2001, 465–469. Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address (up) USA  
  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 DAG Approved no  
  Call Number DAG @ dag @ SLl2001 Serial 162  
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Author Jorge Bernal; Fernando Vilariño; F. Javier Sanchez; M. Arnold; Anarta Ghosh; Gerard Lacey edit   pdf
doi  isbn
openurl 
  Title Experts vs Novices: Applying Eye-tracking Methodologies in Colonoscopy Video Screening for Polyp Search Type Conference Article
  Year 2014 Publication 2014 Symposium on Eye Tracking Research and Applications Abbreviated Journal  
  Volume Issue Pages 223-226  
  Keywords  
  Abstract We present in this paper a novel study aiming at identifying the differences in visual search patterns between physicians of diverse levels of expertise during the screening of colonoscopy videos. Physicians were clustered into two groups -experts and novices- according to the number of procedures performed, and fixations were captured by an eye-tracker device during the task of polyp search in different video sequences. These fixations were integrated into heat maps, one for each cluster. The obtained maps were validated over a ground truth consisting of a mask of the polyp, and the comparison between experts and novices was performed by using metrics such as reaction time, dwelling time and energy concentration ratio. Experimental results show a statistically significant difference between experts and novices, and the obtained maps show to be a useful tool for the characterisation of the behaviour of each group.  
  Address (up) USA; March 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 978-1-4503-2751-0 Medium  
  Area Expedition Conference ETRA  
  Notes MV; 600.047; 600.060;SIAI Approved no  
  Call Number Admin @ si @ BVS2014 Serial 2448  
Permanent link to this record
 
 
Author Fadi Dornaika; Bogdan Raducanu edit  doi
isbn  openurl
  Title Simultaneous 3D face pose and person-specific shape estimation from a single image using a holistic approach Type Conference Article
  Year 2009 Publication IEEE Workshop on Applications of Computer Vision Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract This paper presents a new approach for the simultaneous estimation of the 3D pose and specific shape of a previously unseen face from a single image. The face pose is not limited to a frontal view. We describe a holistic approach based on a deformable 3D model and a learned statistical facial texture model. Rather than obtaining a person-specific facial surface, the goal of this work is to compute person-specific 3D face shape in terms of a few control parameters that are used by many applications. The proposed holistic approach estimates the 3D pose parameters as well as the face shape control parameters by registering the warped texture to a statistical face texture, which is carried out by a stochastic and genetic optimizer. The proposed approach has several features that make it very attractive: (i) it uses a single grey-scale image, (ii) it is person-independent, (iii) it is featureless (no facial feature extraction is required), and (iv) its learning stage is easy. The proposed approach lends itself nicely to 3D face tracking and face gesture recognition in monocular videos. We describe extensive experiments that show the feasibility and robustness of the proposed approach.  
  Address (up) Utah, USA  
  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 1550-5790 ISBN 978-1-4244-5497-6 Medium  
  Area Expedition Conference WACV  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ DoR2009b Serial 1256  
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Author Robert Benavente; Ernest Valveny; Jaume Garcia; Agata Lapedriza; Miquel Ferrer; Gemma Sanchez edit  openurl
  Title Una experiencia de adaptacion al EEES de las asignaturas de programacion en Ingenieria Informatica Type Miscellaneous
  Year 2008 Publication V Congreso Iberoamericano de Docencia Universitaria, pp. 213–216 Abbreviated Journal  
  Volume Issue Pages  
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  Abstract  
  Address (up) Valencia  
  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 OR;DAG;CIC;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ BVG2008 Serial 1031  
Permanent link to this record
 
 
Author Monica Piñol; Angel Sappa; Angeles Lopez; Ricardo Toledo edit   pdf
openurl 
  Title Feature Selection Based on Reinforcement Learning for Object Recognition Type Conference Article
  Year 2012 Publication Adaptive Learning Agents Workshop Abbreviated Journal  
  Volume Issue Pages 33-39  
  Keywords  
  Abstract  
  Address (up) Valencia  
  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 ALA  
  Notes ADAS; RV Approved no  
  Call Number Admin @ si @ PSL2012 Serial 2018  
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Author Karla Lizbeth Caballero; Joel Barajas; Oriol Pujol; J. Mauri; Petia Radeva edit  openurl
  Title Using Radio Frequency Reconstructed IVUS Images in Tissue Classification Type Miscellaneous
  Year 2006 Publication Computers in Cardiology (CiC´06), 33: 533–536 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address (up) Valencia (Spain)  
  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 MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ CBP2006a Serial 761  
Permanent link to this record
 
 
Author David Rotger; Petia Radeva; Oriol Rodriguez edit  openurl
  Title Vessel Tortuosity Extraction from IVUS Images Type Miscellaneous
  Year 2006 Publication Computers in Cardiology (CiC´06), 33: 689–692 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address (up) Valencia (Spain)  
  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 MILAB Approved no  
  Call Number BCNPCL @ bcnpcl @ RRR2006 Serial 762  
Permanent link to this record
 
 
Author F. Javier Sanchez; Jorge Bernal edit  url
doi  openurl
  Title Use of Software Tools for Real-time Monitoring of Learning Processes: Application to Compilers subject Type Conference Article
  Year 2018 Publication 4th International Conference of Higher Education Advances Abbreviated Journal  
  Volume Issue Pages 1359-1366  
  Keywords Monitoring; Evaluation tool; Gamification; Student motivation  
  Abstract The effective implementation of the Higher European Education Area has meant a change regarding the focus of the learning process, being now the student at its very center. This shift of focus requires a strong involvement and fluent communication between teachers and students to succeed. Considering the difficulties associated to motivate students to take a more active role in the learning process, we explore how the use of a software tool can help both actors to improve the learning experience. We present a tool that can help students to obtain instantaneous feedback with respect to their progress in the subject as well as providing teachers with useful information about the evolution of knowledge acquisition with respect to each of the subject areas. We compare the performance achieved by students in two academic years: results show an improvement in overall performance which, after observing graphs provided by our tool, can be associated to an increase in students interest in the subject.  
  Address (up) Valencia; June 2018  
  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 HEAD  
  Notes MV; no proj Approved no  
  Call Number Admin @ si @ SaB2018 Serial 3165  
Permanent link to this record
 
 
Author Ana Maria Ares; Jorge Bernal; Maria Jesus Nozal; F. Javier Sanchez; Jose Bernal edit  url
doi  openurl
  Title Results of the use of Kahoot! gamification tool in a course of Chemistry Type Conference Article
  Year 2018 Publication 4th International Conference on Higher Education Advances Abbreviated Journal  
  Volume Issue Pages 1215-1222  
  Keywords  
  Abstract The present study examines the use of Kahoot! as a gamification tool to explore mixed learning strategies. We analyze its use in two different groups of a theoretical subject of the third course of the Degree in Chemistry. An empirical-analytical methodology was used using Kahoot! in two different groups of students, with different frequencies. The academic results of these two group of students were compared between them and with those obtained in the previous course, in which Kahoot! was not employed, with the aim of measuring the evolution in the students´ knowledge. The results showed, in all cases, that the use of Kahoot! has led to a significant increase in the overall marks, and in the number of students who passed the subject. Moreover, some differences were also observed in students´ academic performance according to the group. Finally, it can be concluded that the use of a gamification tool (Kahoot!) in a university classroom had generally improved students´ learning and marks, and that this improvement is more prevalent in those students who have achieved a better Kahoot! performance.  
  Address (up) Valencia; June 2018  
  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 HEAD  
  Notes MV; no proj Approved no  
  Call Number Admin @ si @ ABN2018 Serial 3246  
Permanent link to this record
 
 
Author C. Santa-Marta; Jaume Garcia; A. Bajo; J.J. Vaquero; M. Ledesma-Carbayo; Debora Gil edit  openurl
  Title Influence of the Temporal Resolution on the Quantification of Displacement Fields in Cardiac Magnetic Resonance Tagged Images Type Conference Article
  Year 2008 Publication XXVI Congreso Anual de la Sociedad Española de Ingenieria Biomedica Abbreviated Journal  
  Volume Issue Pages 352–353  
  Keywords  
  Abstract It is difficult to acquire tagged cardiac MR images with a high temporal and spatial resolution using clinical MR scanners. However, if such images are used for quantifying scores based on motion, it is essential a resolution as high as possibl e. This paper explores the influence of the temporal resolution of a tagged series on the quantification of myocardial dynamic parameters. To such purpose we have designed a SPAMM (Spatial Modulation of Magnetization) sequence allowing acquisition of sequences at simple and double temporal resolution. Sequences are processed to compute myocardial motion by an automatic technique based on the tracking of the harmonic phase of tagged images (the Harmonic Phase Flow, HPF). The results have been compared to manual tracking of myocardial tags. The error in displacement fields for double resolution sequences reduces 17%.  
  Address (up) Valladolid  
  Corporate Author Thesis  
  Publisher Place of Publication Editor Roberto hornero, Saniel Abasolo  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference CASEIB  
  Notes IAM; Approved no  
  Call Number IAM @ iam @ SGB2008 Serial 1033  
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