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Author O. Rodriguez; David Rotger; J. Mauri; E. Fernandez; V. Valle; Petia Radeva edit  openurl
  Title (up) Active vessel workstation: three-dimensional reconstruction of coronary arteries by fusion of angiography and intravascular ultrasound Type Miscellaneous
  Year 2004 Publication European Society of Cardiology Congress 2004 Abbreviated Journal  
  Volume Issue Pages  
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  Abstract  
  Address Munich  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes MILAB Approved no  
  Call Number BCNPCL @ bcnpcl @ RRM2004a Serial 479  
Permanent link to this record
 
 
Author Oriol Pujol; Petia Radeva; Jordi Vitria; J. Mauri edit  openurl
  Title (up) Adaboost to Classify Plaque Appearance in IVUS Images Type Miscellaneous
  Year 2004 Publication Progress in Pattern Recognition, Image Analysis and Applications, LNCS 3287:629–636 Abbreviated Journal  
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  Address Puebla (Mexico)  
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  Notes OR;MILAB;HuPBA;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ PRV2004 Serial 472  
Permanent link to this record
 
 
Author Ernest Valveny; Robert Benavente; Agata Lapedriza; Miquel Ferrer; Jaume Garcia; Gemma Sanchez edit   pdf
doi  openurl
  Title (up) Adaptation of a computer programming course to the EXHE requirements: evaluation five years later Type Miscellaneous
  Year 2012 Publication European Journal of Engineering Education Abbreviated Journal  
  Volume 37 Issue 3 Pages 243-254  
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  Notes DAG; CIC; OR; invisible;MV Approved no  
  Call Number Admin @ si @ VBL2012 Serial 2070  
Permanent link to this record
 
 
Author J.R. Serra; J.B. Subirana edit  openurl
  Title (up) Adaptive non-cartesian networks for vision. Type Miscellaneous
  Year 1997 Publication IX International Conference on Image Analysis and Processing. Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Florence  
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  Notes Approved no  
  Call Number Admin @ si @ SeS1997 Serial 212  
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Author Maya Dimitrova; Petia Radeva; David Rotger; D. Boyadjiev; Juan J. Villanueva edit  openurl
  Title (up) Advanced Cardiological Diagnosis via Intelligent Image Analysis Type Miscellaneous
  Year 2004 Publication Abbreviated Journal  
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  Address Varna (Bulgaria)  
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  Notes MILAB Approved no  
  Call Number BCNPCL @ bcnpcl @ DRR2004 Serial 477  
Permanent link to this record
 
 
Author David Rotger; Cristina Cañero; Petia Radeva; J. Mauri; E. Fernandez; A. Tovar; V. Valle edit  openurl
  Title (up) Advanced Visualization of 3D data of Intravascular Ultrasound Images. Type Miscellaneous
  Year 2001 Publication Medical Data Analysis, Second International Symposium, ISMDA 2001, 245–250. Abbreviated Journal  
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  Notes MILAB Approved no  
  Call Number BCNPCL @ bcnpcl @ RCR2001b Serial 157  
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Author Xavier Otazu; J. Nuñez edit  openurl
  Title (up) Algoritmo de Clasificacion no Supervisada Basado en Wavelets. Type Miscellaneous
  Year 2001 Publication Teledeteccion, Medio Ambiente y Cambio Global, IX Congreso Nacional de Teledeteccion, 437–440. Abbreviated Journal  
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  Abstract  
  Address Lleida  
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  Notes CIC Approved no  
  Call Number CAT @ cat @ ONu2001 Serial 147  
Permanent link to this record
 
 
Author Jose Luis Gomez; Manuel Silva; Antonio Seoane; Agnes Borras; Mario Noriega; German Ros; Jose Antonio Iglesias; Antonio Lopez edit   pdf
url  openurl
  Title (up) All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes Type Miscellaneous
  Year 2023 Publication Arxiv Abbreviated Journal  
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  Keywords  
  Abstract We introduce UrbanSyn, a photorealistic dataset acquired through semi-procedurally generated synthetic urban driving scenarios. Developed using high-quality geometry and materials, UrbanSyn provides pixel-level ground truth, including depth, semantic segmentation, and instance segmentation with object bounding boxes and occlusion degree. It complements GTAV and Synscapes datasets to form what we coin as the 'Three Musketeers'. We demonstrate the value of the Three Musketeers in unsupervised domain adaptation for image semantic segmentation. Results on real-world datasets, Cityscapes, Mapillary Vistas, and BDD100K, establish new benchmarks, largely attributed to UrbanSyn. We make UrbanSyn openly and freely accessible (this http URL).  
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  Notes ADAS Approved no  
  Call Number Admin @ si @ GSS2023 Serial 4015  
Permanent link to this record
 
 
Author Razieh Rastgoo; Kourosh Kiani; Sergio Escalera; Vassilis Athitsos; Mohammad Sabokrou edit   pdf
doi  openurl
  Title (up) All You Need In Sign Language Production Type Miscellaneous
  Year 2022 Publication Arxiv Abbreviated Journal  
  Volume Issue Pages  
  Keywords Sign Language Production; Sign Language Recog- nition; Sign Language Translation; Deep Learning; Survey; Deaf  
  Abstract Sign Language is the dominant form of communication language used in the deaf and hearing-impaired community. To make an easy and mutual communication between the hearing-impaired and the hearing communities, building a robust system capable of translating the spoken language into sign language and vice versa is fundamental.
To this end, sign language recognition and production are two necessary parts for making such a two-way system. Signlanguage recognition and production need to cope with some critical challenges. In this survey, we review recent advances in
Sign Language Production (SLP) and related areas using deep learning. To have more realistic perspectives to sign language, we present an introduction to the Deaf culture, Deaf centers, psychological perspective of sign language, the main differences between spoken language and sign language. Furthermore, we present the fundamental components of a bi-directional sign language translation system, discussing the main challenges in this area. Also, the backbone architectures and methods in SLP are briefly introduced and the proposed taxonomy on SLP is presented. Finally, a general framework for SLP and performance evaluation, and also a discussion on the recent developments, advantages, and limitations in SLP, commenting on possible lines for future research are presented.		  
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  Notes HuPBA; no menciona Approved no  
  Call Number Admin @ si @ RKE2022c Serial 3698  
Permanent link to this record
 
 
Author Gemma Sanchez; Josep Llados; K. Tombre edit  openurl
  Title (up) An Algorithm to Recognize Graphical Textured Symbols using String Representations. Type Miscellaneous
  Year 2001 Publication Proceedings of the IX Spanish Symposium on Pattern Recognition and Image Analysis, :203–208. Abbreviated Journal  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ SLT2001a Serial 163  
Permanent link to this record
 
 
Author X. Orriols; Lluis Barcelo; X. Binefa edit  openurl
  Title (up) An Appearance-Based Method for Parametric Video Registration. Type Miscellaneous
  Year 2001 Publication Abbreviated Journal  
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  Abstract  
  Address Paris  
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  Notes Approved no  
  Call Number Admin @ si @ OBB2001b Serial 145  
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Author Zhong Jin; Franck Davoine; Zhen Lou edit  openurl
  Title (up) An Effective EM Algorithm for PCA Mixture Model Type Miscellaneous
  Year 2004 Publication Structural and Statistical Pattern Recognition, Lecture Notes in Computer Science, 3138:626–634 Abbreviated Journal  
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  Address Lisbon, Portugal  
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  Notes Approved no  
  Call Number Admin @ si @ JDL2004 Serial 482  
Permanent link to this record
 
 
Author Wenjuan Gong; Y.Huang; Jordi Gonzalez; Liang Wang edit  openurl
  Title (up) An Effective Solution to Double Counting Problem in Human Pose Estimation Type Miscellaneous
  Year 2015 Publication Arxiv Abbreviated Journal  
  Volume Issue Pages  
  Keywords Pose estimation; double counting problem; mix-ture of parts Model  
  Abstract The mixture of parts model has been successfully applied to solve the 2D
human pose estimation problem either as an explicitly trained body part model
or as latent variables for pedestrian detection. Even in the era of massive
applications of deep learning techniques, the mixture of parts model is still
effective in solving certain problems, especially in the case with limited
numbers of training samples. In this paper, we consider using the mixture of
parts model for pose estimation, wherein a tree structure is utilized for
representing relations between connected body parts. This strategy facilitates
training and inferencing of the model but suffers from double counting
problems, where one detected body part is counted twice due to lack of
constrains among unconnected body parts. To solve this problem, we propose a
generalized solution in which various part attributes are captured by multiple
features so as to avoid the double counted problem. Qualitative and
quantitative experimental results on a public available dataset demonstrate the
effectiveness of our proposed method.

An Effective Solution to Double Counting Problem in Human Pose Estimation – ResearchGate. Available from: http://www.researchgate.net/publication/271218491AnEffectiveSolutiontoDoubleCountingProbleminHumanPose_Estimation [accessed Oct 22, 2015].		  
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  Notes ISE; 600.078 Approved no  
  Call Number Admin @ si @ GHG2015 Serial 2590  
Permanent link to this record
 
 
Author X. Orriols; X. Binefa edit  openurl
  Title (up) An EM Algorithm for Video Summarization, Generative Model Approach. Type Miscellaneous
  Year 2001 Publication Eighth International Conference on Computer Vision, IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence, 1:335–342. Abbreviated Journal  
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  Address Vancouver.  
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  Notes Approved no  
  Call Number Admin @ si @ OBi2001 Serial 199  
Permanent link to this record
 
 
Author Josep Llados; Gemma Sanchez; K. Tombre edit  openurl
  Title (up) An Error-Correction Graph Grammar to Recognize Texture Symbols. Type Miscellaneous
  Year 2002 Publication Graphics Recognition: Algorithms and Apllications, LNCS 2390: 128–138, Springer Verlag. Abbreviated Journal  
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  Abstract  
  Address Berlin  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes DAG Approved no  
  Call Number DAG @ dag @ LST2002 Serial 281  
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