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Author F. de la Torre; Jordi Vitria; Petia Radeva; J. Melenchon edit  openurl
  Title EigenFiltering for flexible Eigentracking. Type Miscellaneous
  Year 2000 Publication (up) 15 th International Conference on Pattern Recognition, 3:1118–1121. Abbreviated Journal  
  Volume Issue Pages  
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  Abstract  
  Address Barcelona.  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes OR;MILAB;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ TVR2000 Serial 179  
Permanent link to this record
 
 
Author X. Varona; Jordi Gonzalez; Xavier Roca; Juan J. Villanueva edit  openurl
  Title iTrack: Image-based Probabilistic Tracking of People. Type Miscellaneous
  Year 2000 Publication (up) 15 th International Conference on Pattern Recognition, 3:1122–1125. Abbreviated Journal  
  Volume Issue Pages  
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  Abstract  
  Address Barcelona.  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes ISE Approved no  
  Call Number ISE @ ise @ VGR2000a Serial 228  
Permanent link to this record
 
 
Author D. Lloret; Joan Serrat; Antonio Lopez; A. Soler; Juan J. Villanueva edit   pdf
openurl 
  Title Retinal image registration using creases as anatomical landmarks. Type Miscellaneous
  Year 2000 Publication (up) 15 th International Conference on Pattern Recognition, 3:207–210. Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract Retinal images are routinely used in ophthalmology to study the optical nerve head and the retina. To assess objectively the evolution of an illness, images taken at different times must be registered. Most methods so far have been designed specifically for a single image modality, like temporal series or stereo pairs of angiographies, fluorescein angiographies or scanning laser ophthalmoscope (SLO) images, which makes them prone to fail when conditions vary. In contrast, the method we propose has shown to be accurate and reliable on all the former modalities. It has been adapted from the 3D registration of CT and MR image to 2D. Relevant features (also known as landmarks) are extracted by means of a robust creaseness operator, and resulting images are iteratively transformed until a maximum in their correlation is achieved. Our method has succeeded in more than 100 pairs tried so far, in all cases including also the scaling as a parameter to be optimized  
  Address Barcelona.  
  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 ADAS Approved no  
  Call Number ADAS @ adas @ LSL2000 c Serial 233  
Permanent link to this record
 
 
Author Robert Benavente; Gemma Sanchez; Ramon Baldrich; Maria Vanrell; Josep Llados edit  openurl
  Title Normalized colour segmentation for human appearance description. Type Miscellaneous
  Year 2000 Publication (up) 15 th International Conference on Pattern Recognition, 3:637–641. Abbreviated Journal  
  Volume Issue Pages  
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  Abstract  
  Address Barcelona.  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes DAG;CIC Approved no  
  Call Number CAT @ cat @ BSB2000 Serial 223  
Permanent link to this record
 
 
Author Xose M. Pardo; Petia Radeva edit  openurl
  Title Discriminant snakes for 3D reconstruction in medical Images. Type Miscellaneous
  Year 2000 Publication (up) 15 th International Conference on Pattern Recognition, 4:336–339. Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Barcelona.  
  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 @ PaR2000 Serial 234  
Permanent link to this record
 
 
Author Ricardo Toledo; X. Orriols; Petia Radeva; X. Binefa; Jordi Vitria; Cristina Cañero; Juan J. Villanueva edit  openurl
  Title Eigensnakes for vessel segmentation in angiography. Type Miscellaneous
  Year 2000 Publication (up) 15 th International Conference on Pattern Recognition, 4:340–343. Abbreviated Journal  
  Volume Issue Pages  
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  Abstract  
  Address Barcelona.  
  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;MILAB;ADAS;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ TOR2000 Serial 235  
Permanent link to this record
 
 
Author Cristina Cañero; Petia Radeva; Ricardo Toledo; Juan J. Villanueva; J. Mauri edit  openurl
  Title 3D Curve Reconstruction by Biplane Snakes. Type Miscellaneous
  Year 2000 Publication (up) 15 th International Conference on Pattern Recognition, 4:563–566. Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Barcelona.  
  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;ADAS Approved no  
  Call Number BCNPCL @ bcnpcl @ CRT2000 Serial 238  
Permanent link to this record
 
 
Author Joan Serrat; Antonio Lopez; D. Lloret edit   pdf
openurl 
  Title On ridges and valleys. Type Miscellaneous
  Year 2000 Publication (up) 15 th International Conference on Pattern Recognition, 4:59–66. Abbreviated Journal  
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  Keywords  
  Abstract  
  Address Barcelona  
  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 ADAS Approved no  
  Call Number ADAS @ adas @ SLL2000 d Serial 334  
Permanent link to this record
 
 
Author A. Pujol; Felipe Lumbreras; X. Varona; Juan J. Villanueva edit  openurl
  Title Locating people in indoor scenes for real applications. Type Miscellaneous
  Year 2000 Publication (up) 15 th International Conference on Pattern Recognition, 4:632–635. Abbreviated Journal  
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  Abstract  
  Address Barcelona.  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
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  Area Expedition Conference  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ PLV2000 Serial 237  
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Author Youssef El Rhabi; Simon Loic; Brun Luc edit   pdf
url  openurl
  Title Estimation de la pose d’une caméra à partir d’un flux vidéo en s’approchant du temps réel Type Conference Article
  Year 2015 Publication (up) 15ème édition d'ORASIS, journées francophones des jeunes chercheurs en vision par ordinateur ORASIS2015 Abbreviated Journal  
  Volume Issue Pages  
  Keywords Augmented Reality; SFM; SLAM; real time pose computation; 2D/3D registration  
  Abstract Finding a way to estimate quickly and robustly the pose of an image is essential in augmented reality. Here we will discuss the approach we chose in order to get closer to real time by using SIFT points [4]. We propose a method based on filtering both SIFT points and images on which to focus on. Hence we will focus on relevant data.  
  Address Amiens; France; June 2015  
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  Publisher Place of Publication Editor  
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  Series Editor Series Title Abbreviated Series Title  
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  ISSN ISBN Medium  
  Area Expedition Conference ORASIS  
  Notes DAG; 600.077 Approved no  
  Call Number Admin @ si @ RLL2015 Serial 2626  
Permanent link to this record
 
 
Author R. Herault; Franck Davoine; Fadi Dornaika; Y. Grandvalet edit  openurl
  Title Simultaneous and robust face and facial action tracking Type Miscellaneous
  Year 2006 Publication (up) 15eme Congres Francophone AFRIF–AFIA de Reconnaissance des Formes et Intelligence Artificielle (RFIA´06) Abbreviated Journal  
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  Address Tours (France)  
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  Notes Approved no  
  Call Number Admin @ si @ HDD2006 Serial 735  
Permanent link to this record
 
 
Author Sergio Escalera; Jordi Gonzalez; Xavier Baro; Miguel Reyes; Oscar Lopes; Isabelle Guyon; V. Athitsos; Hugo Jair Escalante edit   pdf
doi  isbn
openurl 
  Title Multi-modal Gesture Recognition Challenge 2013: Dataset and Results Type Conference Article
  Year 2013 Publication (up) 15th ACM International Conference on Multimodal Interaction Abbreviated Journal  
  Volume Issue Pages 445-452  
  Keywords  
  Abstract The recognition of continuous natural gestures is a complex and challenging problem due to the multi-modal nature of involved visual cues (e.g. fingers and lips movements, subtle facial expressions, body pose, etc.), as well as technical limitations such as spatial and temporal resolution and unreliable
depth cues. In order to promote the research advance on this field, we organized a challenge on multi-modal gesture recognition. We made available a large video database of 13; 858 gestures from a lexicon of 20 Italian gesture categories recorded with a KinectTM camera, providing the audio, skeletal model, user mask, RGB and depth images. The focus of the challenge was on user independent multiple gesture learning. There are no resting positions and the gestures are performed in continuous sequences lasting 1-2 minutes, containing between 8 and 20 gesture instances in each sequence. As a result, the dataset contains around 1:720:800 frames. In addition to the 20 main gesture categories, ‘distracter’ gestures are included, meaning that additional audio
and gestures out of the vocabulary are included. The final evaluation of the challenge was defined in terms of the Levenshtein edit distance, where the goal was to indicate the real order of gestures within the sequence. 54 international teams participated in the challenge, and outstanding results
were obtained by the first ranked participants.		  
  Address Sidney; Australia; December 2013  
  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 978-1-4503-2129-7 Medium  
  Area Expedition Conference ICMI  
  Notes HUPBA; ISE; 600.063;MV Approved no  
  Call Number Admin @ si @ EGB2013 Serial 2373  
Permanent link to this record
 
 
Author Victor Ponce; Sergio Escalera; Xavier Baro edit  doi
isbn  openurl
  Title Multi-modal Social Signal Analysis for Predicting Agreement in Conversation Settings Type Conference Article
  Year 2013 Publication (up) 15th ACM International Conference on Multimodal Interaction Abbreviated Journal  
  Volume Issue Pages 495-502  
  Keywords  
  Abstract In this paper we present a non-invasive ambient intelligence framework for the analysis of non-verbal communication applied to conversational settings. In particular, we apply feature extraction techniques to multi-modal audio-RGB-depth data. We compute a set of behavioral indicators that define communicative cues coming from the fields of psychology and observational methodology. We test our methodology over data captured in victim-offender mediation scenarios. Using different state-of-the-art classification approaches, our system achieve upon 75% of recognition predicting agreement among the parts involved in the conversations, using as ground truth the experts opinions.  
  Address Sidney; Australia; December 2013  
  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 978-1-4503-2129-7 Medium  
  Area Expedition Conference ICMI  
  Notes HuPBA;MV Approved no  
  Call Number Admin @ si @ PEB2013 Serial 2488  
Permanent link to this record
 
 
Author Yaxing Wang; Chenshen Wu; Luis Herranz; Joost Van de Weijer; Abel Gonzalez-Garcia; Bogdan Raducanu edit   pdf
url  openurl
  Title Transferring GANs: generating images from limited data Type Conference Article
  Year 2018 Publication (up) 15th European Conference on Computer Vision Abbreviated Journal  
  Volume 11210 Issue Pages 220-236  
  Keywords Generative adversarial networks; Transfer learning; Domain adaptation; Image generation  
  Abstract ransferring knowledge of pre-trained networks to new domains by means of fine-tuning is a widely used practice for applications based on discriminative models. To the best of our knowledge this practice has not been studied within the context of generative deep networks. Therefore, we study domain adaptation applied to image generation with generative adversarial networks. We evaluate several aspects of domain adaptation, including the impact of target domain size, the relative distance between source and target domain, and the initialization of conditional GANs. Our results show that using knowledge from pre-trained networks can shorten the convergence time and can significantly improve the quality of the generated images, especially when target data is limited. We show that these conclusions can also be drawn for conditional GANs even when the pre-trained model was trained without conditioning. Our results also suggest that density is more important than diversity and a dataset with one or few densely sampled classes is a better source model than more diverse datasets such as ImageNet or Places.  
  Address Munich; September 2018  
  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 ECCV  
  Notes LAMP; 600.109; 600.106; 600.120 Approved no  
  Call Number Admin @ si @ WWH2018a Serial 3130  
Permanent link to this record
 
 
Author Pau Rodriguez; Josep M. Gonfaus; Guillem Cucurull; Xavier Roca; Jordi Gonzalez edit   pdf
url  openurl
  Title Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery Type Conference Article
  Year 2018 Publication (up) 15th European Conference on Computer Vision Abbreviated Journal  
  Volume 11212 Issue Pages 357-372  
  Keywords Deep Learning; Convolutional Neural Networks; Attention  
  Abstract We propose a novel attention mechanism to enhance Convolutional Neural Networks for fine-grained recognition. It learns to attend to lower-level feature activations without requiring part annotations and uses these activations to update and rectify the output likelihood distribution. In contrast to other approaches, the proposed mechanism is modular, architecture-independent and efficient both in terms of parameters and computation required. Experiments show that networks augmented with our approach systematically improve their classification accuracy and become more robust to clutter. As a result, Wide Residual Networks augmented with our proposal surpasses the state of the art classification accuracies in CIFAR-10, the Adience gender recognition task, Stanford dogs, and UEC Food-100.  
  Address Munich; September 2018  
  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 ECCV  
  Notes ISE; 600.098; 602.121; 600.119 Approved no  
  Call Number Admin @ si @ RGC2018 Serial 3139  
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