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Author (down) Zhong Jin; Zhen Lou; Jing-Yu Yang; Quan-sen Sun edit  openurl
  Title Face Detection using Template Matching and Skin-color Information Type Journal
  Year 2007 Publication Neurocomputing, 70(4–6): 794–800 Abbreviated Journal  
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  Notes Approved no  
  Call Number Admin @ si @ JLY2007 Serial 878  
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Author (down) Zeynep Yucel; Albert Ali Salah; Çetin Meriçli; Tekin Meriçli; Roberto Valenti; Theo Gevers edit  doi
openurl 
  Title Joint Attention by Gaze Interpolation and Saliency Type Journal
  Year 2013 Publication IEEE Transactions on cybernetics Abbreviated Journal T-CIBER  
  Volume 43 Issue 3 Pages 829-842  
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  Abstract Joint attention, which is the ability of coordination of a common point of reference with the communicating party, emerges as a key factor in various interaction scenarios. This paper presents an image-based method for establishing joint attention between an experimenter and a robot. The precise analysis of the experimenter's eye region requires stability and high-resolution image acquisition, which is not always available. We investigate regression-based interpolation of the gaze direction from the head pose of the experimenter, which is easier to track. Gaussian process regression and neural networks are contrasted to interpolate the gaze direction. Then, we combine gaze interpolation with image-based saliency to improve the target point estimates and test three different saliency schemes. We demonstrate the proposed method on a human-robot interaction scenario. Cross-subject evaluations, as well as experiments under adverse conditions (such as dimmed or artificial illumination or motion blur), show that our method generalizes well and achieves rapid gaze estimation for establishing joint attention.  
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  ISSN 2168-2267 ISBN Medium  
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  Notes ALTRES;ISE Approved no  
  Call Number Admin @ si @ YSM2013 Serial 2363  
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Author (down) Yu Jie; Jaume Amores; N. Sebe; Petia Radeva; Tian Qi edit  openurl
  Title Distance Learning for Similarity Estimation Type Journal
  Year 2008 Publication IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.30(3):451–462 Abbreviated Journal  
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  Notes ADAS;MILAB Approved no  
  Call Number ADAS @ adas @ JAS2008 Serial 961  
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Author (down) Yong Xu; Jing-Yu Yang; Zhong Jin edit  openurl
  Title Theory analysis on FSLDA and ULDA Type Journal
  Year 2003 Publication Pattern Recognition, 36(12): 3031–3033 (IF: 1.611) Abbreviated Journal  
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  Notes Approved no  
  Call Number Admin @ si @ XYJ2003 Serial 430  
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Author (down) Yong Xu; Jing-Yu Yang; Zhong Jin edit  url
openurl 
  Title A novel method for Fisher discriminant analysis Type Journal
  Year 2004 Publication Pattern Recognition, 37(2):381–384 (IF: 2.176) Abbreviated Journal  
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  Notes Approved no  
  Call Number Admin @ si @ XYJ2004 Serial 481  
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Author (down) Yasuko Sugito; Trevor Canham; Javier Vazquez; Marcelo Bertalmio edit  url
doi  openurl
  Title A Study of Objective Quality Metrics for HLG-Based HDR/WCG Image Coding Type Journal
  Year 2021 Publication SMPTE Motion Imaging Journal Abbreviated Journal SMPTE  
  Volume 130 Issue 4 Pages 53 - 65  
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  Abstract In this work, we study the suitability of high dynamic range, wide color gamut (HDR/WCG) objective quality metrics to assess the perceived deterioration of compressed images encoded using the hybrid log-gamma (HLG) method, which is the standard for HDR television. Several image quality metrics have been developed to deal specifically with HDR content, although in previous work we showed that the best results (i.e., better matches to the opinion of human expert observers) are obtained by an HDR metric that consists simply in applying a given standard dynamic range metric, called visual information fidelity (VIF), directly to HLG-encoded images. However, all these HDR metrics ignore the chroma components for their calculations, that is, they consider only the luminance channel. For this reason, in the current work, we conduct subjective evaluation experiments in a professional setting using compressed HDR/WCG images encoded with HLG and analyze the ability of the best HDR metric to detect perceivable distortions in the chroma components, as well as the suitability of popular color metrics (including ΔITPR , which supports parameters for HLG) to correlate with the opinion scores. Our first contribution is to show that there is a need to consider the chroma components in HDR metrics, as there are color distortions that subjects perceive but that the best HDR metric fails to detect. Our second contribution is the surprising result that VIF, which utilizes only the luminance channel, correlates much better with the subjective evaluation scores than the metrics investigated that do consider the color components.  
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  Notes CIC Approved no  
  Call Number SCV2021 Serial 3671  
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Author (down) Xose M. Pardo; Petia Radeva; D. Cabello edit  openurl
  Title Discriminant Snakes for 3D Reconstruction of Anatomical Organs Type Journal
  Year 2003 Publication Medical Image Analysis, 7(3): 293–310 (IF: 4.442) Abbreviated Journal  
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  Notes MILAB Approved no  
  Call Number BCNPCL @ bcnpcl @ PPC2003 Serial 398  
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Author (down) Xim Cerda-Company; Olivier Penacchio; Xavier Otazu edit   pdf
url  openurl
  Title Chromatic Induction in Migraine Type Journal
  Year 2021 Publication VISION Abbreviated Journal  
  Volume 5 Issue 3 Pages 37  
  Keywords migraine; vision; colour; colour perception; chromatic induction; psychophysics  
  Abstract The human visual system is not a colorimeter. The perceived colour of a region does not only depend on its colour spectrum, but also on the colour spectra and geometric arrangement of neighbouring regions, a phenomenon called chromatic induction. Chromatic induction is thought to be driven by lateral interactions: the activity of a central neuron is modified by stimuli outside its classical receptive field through excitatory–inhibitory mechanisms. As there is growing evidence of an excitation/inhibition imbalance in migraine, we compared chromatic induction in migraine and control groups. As hypothesised, we found a difference in the strength of induction between the two groups, with stronger induction effects in migraine. On the other hand, given the increased prevalence of visual phenomena in migraine with aura, we also hypothesised that the difference between migraine and control would be more important in migraine with aura than in migraine without aura. Our experiments did not support this hypothesis. Taken together, our results suggest a link between excitation/inhibition imbalance and increased induction effects.  
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  Notes NEUROBIT; no proj Approved no  
  Call Number Admin @ si @ CPO2021 Serial 3589  
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Author (down) Xiangyang Li; Luis Herranz; Shuqiang Jiang edit   pdf
url  openurl
  Title Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition Type Journal
  Year 2020 Publication ACM Transactions on Data Science Abbreviated Journal ACM  
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  Abstract In recent years, convolutional neural networks (CNNs) have achieved impressive performance for various visual recognition scenarios. CNNs trained on large labeled datasets can not only obtain significant performance on most challenging benchmarks but also provide powerful representations, which can be used to a wide range of other tasks. However, the requirement of massive amounts of data to train deep neural networks is a major drawback of these models, as the data available is usually limited or imbalanced. Fine-tuning (FT) is an effective way to transfer knowledge learned in a source dataset to a target task. In this paper, we introduce and systematically investigate several factors that influence the performance of fine-tuning for visual recognition. These factors include parameters for the retraining procedure (e.g., the initial learning rate of fine-tuning), the distribution of the source and target data (e.g., the number of categories in the source dataset, the distance between the source and target datasets) and so on. We quantitatively and qualitatively analyze these factors, evaluate their influence, and present many empirical observations. The results reveal insights into what fine-tuning changes CNN parameters and provide useful and evidence-backed intuitions about how to implement fine-tuning for computer vision tasks.  
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  Notes LAMP; 600.141; 600.120 Approved no  
  Call Number Admin @ si @ LHJ2020 Serial 3423  
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Author (down) Xavier Otazu; Maria Vanrell; C. Alejandro Parraga edit  openurl
  Title Mutiresolution Wavelet Framework Reproduces Induction Effects Type Journal
  Year 2007 Publication Perception 36:167–167, supp Abbreviated Journal  
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  Notes CIC Approved no  
  Call Number CAT @ cat @ OVP2007 Serial 842  
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Author (down) Xavier Otazu; Maria Vanrell; C. Alejandro Parraga edit  openurl
  Title Multiresolution Wavelet Framework Models Brightness Induction Effects Type Journal
  Year 2008 Publication Vision Research Abbreviated Journal VR  
  Volume 48 Issue 5 Pages 733–751  
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  Notes CIC Approved no  
  Call Number CAT @ cat @ OVP2008a Serial 927  
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Author (down) Xavier Otazu; Maria Vanrell; C. Alejandro Parraga edit  openurl
  Title Colour induction effects are modelled by a low-level multiresolution wavelet framework Type Journal
  Year 2008 Publication Perception 37(Suppl.): 107 Abbreviated Journal  
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  Notes CIC Approved no  
  Call Number CAT @ cat @ OVP2008b Serial 1055  
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Author (down) Xavier Otazu; Maria Vanrell edit  openurl
  Title Perceptual representation of textured images Type Journal
  Year 2005 Publication Journal of Imaging Science and Technology, 49(3):262–271 (IF: 0.522) Abbreviated Journal  
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  Notes CIC Approved no  
  Call Number CAT @ cat @ OtV2005b Serial 542  
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Author (down) Xavier Otazu; Maria Vanrell edit  openurl
  Title Several lightness induction effects with a computational multiresolution wavelet framework Type Journal
  Year 2006 Publication 29th European Conference on Visual Perception (ECVP’06), Perception Suppl s, 32: 56–56 Abbreviated Journal  
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  Address Saint-Petersburg (Russia)  
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  Notes CIC Approved no  
  Call Number CAT @ cat @ OtV2006 Serial 659  
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Author (down) Xavier Otazu; M. Ribo; M. Peracaula; J.M. Paredes; J. Nuñez edit  openurl
  Title Detection of superimposed periodic signals using wavelets Type Journal
  Year 2002 Publication Monthly Notices of the Royal Astronomical Society, 333, 2: 365–372 (IF: 4.671) Abbreviated Journal  
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  Notes CIC Approved no  
  Call Number CAT @ cat @ ORP2002 Serial 272  
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