C. Alejandro Parraga

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Maria VanrellComputer Vision Center - Universitat Autònoma de BarcelonaVerified email at uab.cat
Xavier OtazuComputer Vision Center Barcelona, Universitat Autonoma de BarcelonaVerified email at cvc.uab.es
Innes CuthillProfessor of Behavioural Ecology, University of BristolVerified email at bristol.ac.uk
Martin StevensProfessor, University of ExeterVerified email at exeter.ac.uk
Arash AkbariniaResearcher at Justus Liebig University GiessenVerified email at psychol.uni-giessen.de
Naila MurrayFacebook AI ResearchVerified email at fb.com
P. George LovellAbertay UniversityVerified email at abertay.ac.uk
Ramon BaldrichVerified email at uab.cat
Gavin BrelstaffCRS4Verified email at crs4.it
Christine MohrProfessor for Cognitive Psychology, University of Lausanne, SwitzerlandVerified email at unil.ch
Ute LeonardsUniversity of BristolVerified email at bristol.ac.uk
Roland BaddeleyBristol psychologyVerified email at bristol.ac.uk
Domicele JonauskaiteSenior Lecturer in Psychology (SNSF Ambizione fellow), University of LausanneVerified email at unil.ch
Javier Vazquez-Corral (ORCID: 0000-...Associate Professor, Universitat Autònoma de Barcelona & Researcher, Computer Vision CenterVerified email at cvc.uab.cat
Jolyon TrosciankoUniversity of ExeterVerified email at exeter.ac.uk
Julian C. PartridgeUniversity of Western AustraliaVerified email at uwa.edu.au
Robert BenaventeComputer Vision Center, Universitat Autònoma de BarcelonaVerified email at cvc.uab.cat
M. Carmen Parafita CoutoLeiden University Center for Linguistics & Universidade de VigoVerified email at hum.leidenuniv.nl
Hans Stadthagen-GonzalezAssociate Professor of Psychology, Benedictine CollegeVerified email at benedictine.edu
caterina ripamontiStaff Scientist, Cambridge Research Systems LtdVerified email at crsltd.com

C. Alejandro Parraga

Universitat Autònoma de Barcelona, Computer Vision Center

Verified email at cvc.uab.es - Homepage

Vision Sciences Artificial Intelligence Colour and texture Perception Computer Modelling Visual Psychophysics


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Using digital photography to study animal coloration M Stevens, CA PARRAGA, IC CUTHILL, JC PARTRIDGE, ... Biological Journal of the Linnean Society 90 (2), 211-237, 2007	754	2007
Disruptive coloration and background pattern matching IC Cuthill, M Stevens, J Sheppard, T Maddocks, CA Párraga, ... Nature 434 (7029), 72-74, 2005	627	2005
Saliency estimation using a non-parametric low-level vision model N Murray, M Vanrell, X Otazu, CA Parraga CVPR 2011, 433-440, 2011	441	2011
Color and luminance information in natural scenes CA Párraga, G Brelstaff, T Troscianko, IR Moorehead Journal of the Optical Society of America A 15 (3), 563-569, 1998	215	1998
The human visual system is optimised for processing the spatial information in natural visual images CA Parraga, T Troscianko, DJ Tolhurst Current Biology 10 (1), 35-38, 2000	197	2000
Spatiochromatic properties of natural images and human vision CA Párraga, T Troscianko, DJ Tolhurst Current biology 12 (6), 483-487, 2002	191	2002
Feeling blue or seeing red? Similar patterns of emotion associations with colour patches and colour terms D Jonauskaite, CA Parraga, M Quiblier, C Mohr i-Perception 11 (1), 2041669520902484, 2020	106	2020
Multiresolution wavelet framework models brightness induction effects X Otazu, M Vanrell, CA Párraga Vision research 48 (5), 733-751, 2008	80	2008
Feedback and surround modulated boundary detection A Akbarinia, CA Parraga International Journal of Computer Vision 126 (12), 1367-1380, 2018	74	2018
Stability of the color-opponent signals under changes of illuminant in natural scenes PG Lovell, DJ Tolhurst, CA Párraga, R Baddeley, U Leonards, ... Journal of the Optical Society of America A 22 (10), 2060-2071, 2005	70	2005
Toward a unified chromatic induction model X Otazu, CA Parraga, M Vanrell Journal of Vision 10 (12), 5-5, 2010	68	2010
The effects of amplitude-spectrum statistics on foveal and peripheral discrimination of changes in natural images, and a multi-resolution model CA Párraga, T Troscianko, DJ Tolhurst Vision research 45 (25-26), 3145-3168, 2005	65	2005
Colour constancy beyond the classical receptive field A Akbarinia, CA Parraga IEEE transactions on pattern analysis and machine intelligence 40 (9), 2081-2094, 2017	61	2017
Using two-alternative forced choice tasks and Thurstone’s law of comparative judgments for code-switching research H Stadthagen-González, L López, MC Parafita Couto, CA Párraga Linguistic Approaches to Bilingualism 8 (1), 67-97, 2018	55	2018
Hyperspectral camera system: acquisition and analysis GJ Brelstaff, A Párraga, T Troscianko, D Carr Geographic Information Systems, Photogrammetry, and Geological/Geophysical …, 1995	54	1995
Color constancy algorithms: Psychophysical evaluation on a new dataset J Vazquez, CA Párraga, M Vanrell, R Baldrich J. Imaging Sci. Technol 1 (3), 1, 2009	44	2009
The effectiveness of disruptive coloration as a concealment strategy M Stevens, IC Cuthill, CA Párraga, T Troscianko Progress in brain research 155, 49-64, 2006	43	2006
Beyond eleven color names for image understanding L Yu, L Zhang, J van de Weijer, FS Khan, Y Cheng, CA Parraga Machine Vision and Applications 29, 361-373, 2018	39	2018
Which tone-mapping operator is the best? A comparative study of perceptual quality X Cerda-Company, CA Parraga, X Otazu Journal of the Optical Society of America A 35 (4), 626-638, 2018	38	2018
NICE: A computational solution to close the gap from colour perception to colour categorization CA Parraga, A Akbarinia PloS one 11 (3), e0149538, 2016	35	2016

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