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Author |
Olivier Penacchio; C. Alejandro Parraga; Maria Vanrell |
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Title |
Natural Scene Statistics account for Human Cones Ratios |
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Journal Article |
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2010 |
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Perception. ECVP Abstract Supplement |
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PER |
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39 |
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101 |
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In two previous experiments [Parraga et al, 2009 J. of Im. Sci. and Tech 53(3) 031106; Benavente et al,2009 Perception 38 ECVP Supplement, 36] the boundaries of basic colour categories were measured.
In the first experiment, samples were presented in isolation (ie on a dark background) and boundaries were measured using a yes/no paradigm. In the second, subjects adjusted the chromaticity of a sample presented on a random Mondrian background to find the boundary between pairs of adjacent colours.
Results from these experiments showed significant dierences but it was not possible to conclude whether this discrepancy was due to the absence/presence of a colourful background or to the dierences in the paradigms used. In this work, we settle this question by repeating the first experiment (ie samples presented on a dark background) using the second paradigm. A comparison of results shows that
although boundary locations are very similar, boundaries measured in context are significantly dierent(more diuse) than those measured in isolation (confirmed by a Student’s t-test analysis on the subject’s answers statistical distributions). In addition, we completed the mapping of colour name space by measuring the boundaries between chromatic colours and the achromatic centre. With these results we completed our parametric fuzzy-sets model of colour naming space. |
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CAT @ cat @ PPV2010 |
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1357 |
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Author |
C. Alejandro Parraga; Javier Vazquez; Maria Vanrell |
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Title |
A new cone activation-based natural images dataset |
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Journal Article |
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Year |
2009 |
Publication |
Perception |
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PER |
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36 |
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180 |
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We generated a new dataset of digital natural images where each colour plane corresponds to the human LMS (long-, medium-, short-wavelength) cone activations. The images were chosen to represent five different visual environments (eg forest, seaside, mountain snow, urban, motorways) and were taken under natural illumination at different times of day. At the bottom-left corner of each picture there was a matte grey ball of approximately constant spectral reflectance (across the camera's response spectrum,) and nearly Lambertian reflective properties, which allows to compute (and remove, if necessary) the illuminant's colour and intensity. The camera (Sigma Foveon SD10) was calibrated by measuring its sensor's spectral responses using a set of 31 spectrally narrowband interference filters. This allowed conversion of the final camera-dependent RGB colour space into the Smith and Pokorny (1975) cone activation space by means of a polynomial transformation, optimised for a set of 1269 Munsell chip reflectances. This new method is an improvement over the usual 3 × 3 matrix transformation which is only accurate for spectrally-narrowband colours. The camera-to-LMS transformation can be recalculated to consider other non-human visual systems. The dataset is available to download from our website. |
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CAT @ cat @ PVV2009 |
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1193 |
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A. Richichi; O. Fors; M.T. Merino; Xavier Otazu; J. Nuñez; A. Prades; U. Thiele; D. Perez-Ramirez; F.J. Montojo |
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Title |
The Calar Alto lunar occultation program: update and new results |
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2006 |
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Astronomy and Astrophysics (Section ’Stellar structure and evolution’), 445:1081–1088 |
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CAT @ cat @ RFM2006a |
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589 |
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Partha Pratim Roy; Eduard Vazquez; Josep Llados; Ramon Baldrich; Umapada Pal |
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Title |
A System to Retrieve Text/Symbols from Color Maps using Connected Component and Skeleton Analysis |
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2007 |
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Seventh IAPR International Workshop on Graphics Recognition |
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79–78 |
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Curitiba (Brasil) |
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J. Llados, W. Liu, J.M. Ogier |
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GREC |
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CAT; DAG;CIC |
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CAT @ cat @ RVL2007 |
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836 |
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Author |
Partha Pratim Roy; Eduard Vazquez; Josep Llados; Ramon Baldrich; Umapada Pal |
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Title |
A System to Segment Text and Symbols from Color Maps |
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2008 |
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Graphics Recognition. Recent Advances and New Opportunities |
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5046 |
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245-256 |
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DAG;CIC |
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CAT @ cat @ RVL2008 |
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1005 |
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Author |
Anna Salvatella; Maria Vanrell |
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Title |
Towards a texture representation database |
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2002 |
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CVC Technical Report #60 |
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CAT @ cat @ SaV2002 |
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526 |
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Author |
Anna Salvatella; Maria Vanrell; Ramon Baldrich |
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Title |
Subtexture Components for Texture Description |
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Miscellaneous |
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2003 |
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Lecture Notes in Computer Science, vol 2652, pp 884–892 |
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Springer-Verlag |
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CAT @ cat @ SVR2003 |
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421 |
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Author |
Anna Salvatella; Maria Vanrell; Juan J. Villanueva |
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Title |
Texture Description based on Subtexture Components, 3rd International Workshop on Texture Syntesis and Analysis |
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2003 |
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3rd International Workshop on Texture Synthesis and Analysis, |
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77–82 |
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Nice |
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1-904410-11-1 |
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CAT @ cat @ SVV2003 |
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422 |
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Author |
Fahad Shahbaz Khan; Joost Van de Weijer; Maria Vanrell |
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Title |
Top-Down Color Attention for Object Recognition |
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Conference Article |
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2009 |
Publication |
12th International Conference on Computer Vision |
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979 - 986 |
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Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary construction and image representation are performed independent of the intentioned object classes to be detected. In such a framework, combining multiple cues such as shape and color often provides below-expected results. This paper presents a novel method for recognizing object categories when using multiple cues by separating the shape and color cue. Color is used to guide attention by means of a top-down category-specific attention map. The color attention map is then further deployed to modulate the shape features by taking more features from regions within an image that are likely to contain an object instance. This procedure leads to a category-specific image histogram representation for each category. Furthermore, we argue that the method combines the advantages of both early and late fusion. We compare our approach with existing methods that combine color and shape cues on three data sets containing varied importance of both cues, namely, Soccer ( color predominance), Flower (color and shape parity), and PASCAL VOC Challenge 2007 (shape predominance). The experiments clearly demonstrate that in all three data sets our proposed framework significantly outperforms the state-of-the-art methods for combining color and shape information. |
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Kyoto, Japan |
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1550-5499 |
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978-1-4244-4420-5 |
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ICCV |
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CIC |
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CAT @ cat @ SWV2009 |
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1196 |
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Author |
Francesc Tous; Agnes Borras; Robert Benavente; Ramon Baldrich; Maria Vanrell; Josep Llados |
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Title |
Textual Descriptors for browsing people by visual appearence. |
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Conference Article |
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2002 |
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5è. Congrés Català d’Intel·ligència Artificial CCIA |
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Image retrieval, textual descriptors, colour naming, colour normalization, graph matching. |
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This paper presents a first approach to build colour and structural descriptors for information retrieval on a people database. Queries are formulated in terms of their appearance that allows to seek people wearing specific clothes of a given colour name or texture. Descriptors are automatically computed by following three essential steps. A colour naming labelling from pixel properties. A region seg- mentation step based on colour properties of pixels combined with edge information. And a high level step that models the region arrangements in order to build clothes structure. Results are tested on large set of images from real scenes taken at the entrance desk of a building. |
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DAG;CIC |
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CAT @ cat @ TBB2002a |
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287 |
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Francesc Tous; Agnes Borras; Robert Benavente; Ramon Baldrich; Maria Vanrell; Josep Llados |
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Title |
Textual Descriptions for Browsing People by Visual Apperance. |
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2002 |
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Lecture Notes in Artificial Intelligence |
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2504 |
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419-429 |
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This paper presents a first approach to build colour and structural descriptors for information retrieval on a people database. Queries are formulated in terms of their appearance that allows to seek people wearing specific clothes of a given colour name or texture. Descriptors are automatically computed by following three essential steps. A colour naming labelling from pixel properties. A region seg- mentation step based on colour properties of pixels combined with edge information. And a high level step that models the region arrangements in order to build clothes structure. Results are tested on large set of images from real scenes taken at the entrance desk of a building |
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Springer Verlag |
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CAT @ cat @ TBB2002b |
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319 |
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Francesc Tous; Maria Vanrell; Ramon Baldrich |
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Exploring Colour Constancy Solutions. |
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Miscellaneous |
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2004 |
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CGIV 2004 Second European Conference on Colour in Graphics, Imaging, and Vision, 24:29 |
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Aachen (Germany) |
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CAT @ cat @ TVB2004 |
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452 |
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Francesc Tous; Maria Vanrell; Ramon Baldrich |
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Relaxed Grey-World: Computational Colour Constancy by Surface Matching |
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2005 |
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Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3522:192–199 |
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Estoril (Portugal) |
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CAT @ cat @ TVB2005 |
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555 |
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Eduard Vazquez; Ramon Baldrich |
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Title |
Colour Image Segmentation in Presence of Shadows |
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2008 |
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4th European Conference on Colour in Graphics, Imaging and Vision Proceedings |
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383–387 |
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Terrassa (Spain) |
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CGIV08 |
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CAT @ cat @ VaB2008 |
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966 |
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Eduard Vazquez; Ramon Baldrich |
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Non-supervised goodness measure for image segmentation |
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2010 |
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Proceedings of The CREATE 2010 Conference |
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334–335 |
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Gjovik, Norway |
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CREATE |
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CAT @ cat @ VaB2010 |
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1299 |
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Maria Vanrell |
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Title |
Exploring the space of behaviour of a texture perception algorithm |
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1997 |
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CVC Technical Report #12 |
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CAT @ cat @ Van1997 |
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523 |
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Author |
Eduard Vazquez; Maria Vanrell |
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Title |
Eines per al desenvolupament de competencies de enginyeria en un assignatura de Intel·ligencia Artificial |
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Miscellaneous |
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2008 |
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V Jornades d’Innovacio Docent (UAB) |
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Bellaterra (Spain) |
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no |
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CAT @ cat @ VaV2008 |
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1011 |
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Author |
Maria Vanrell; Ramon Baldrich; Anna Salvatella; Robert Benavente; Francesc Tous |
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Title |
Induction operators for a computational colour-texture representation |
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2004 |
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Computer Vision and Image Understanding, 94(1–3):92–114, ISSN: 1077–3142 (IF: 0.651) |
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no |
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CAT @ cat @ VBS2004 |
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453 |
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