{"id":"https://openalex.org/W1934235358","doi":"https://doi.org/10.1109/cvpr.2015.7298915","title":"Learning lightness from human judgement on relative reflectance","display_name":"Learning lightness from human judgement on relative reflectance","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1934235358","doi":"https://doi.org/10.1109/cvpr.2015.7298915","mag":"1934235358"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298915","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054532679","display_name":"Takuya Narihira","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]},{"id":"https://openalex.org/I134446601","display_name":"Berkeley College","ror":"https://ror.org/02xewxa75","country_code":"US","type":"education","lineage":["https://openalex.org/I134446601"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Takuya Narihira","raw_affiliation_strings":["UC Berkeley, USA","UC Berkeley, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"UC Berkeley, USA","institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"]},{"raw_affiliation_string":"UC Berkeley, USA#TAB#","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001371942","display_name":"Michael Maire","orcid":"https://orcid.org/0000-0002-9778-6673"},"institutions":[{"id":"https://openalex.org/I160992636","display_name":"Toyota Technological Institute at Chicago","ror":"https://ror.org/02sn5gb64","country_code":"US","type":"education","lineage":["https://openalex.org/I160992636"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Maire","raw_affiliation_strings":["TTI Chicago, USA"],"affiliations":[{"raw_affiliation_string":"TTI Chicago, USA","institution_ids":["https://openalex.org/I160992636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042014034","display_name":"Stella X. Yu","orcid":"https://orcid.org/0000-0002-3507-5761"},"institutions":[{"id":"https://openalex.org/I134446601","display_name":"Berkeley College","ror":"https://ror.org/02xewxa75","country_code":"US","type":"education","lineage":["https://openalex.org/I134446601"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stella X. Yu","raw_affiliation_strings":["UC Berkeley, USA","UC Berkeley, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"UC Berkeley, USA","institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"]},{"raw_affiliation_string":"UC Berkeley, USA#TAB#","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054532679"],"corresponding_institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":3.5564,"has_fulltext":false,"cited_by_count":66,"citation_normalized_percentile":{"value":0.95146699,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2965","last_page":"2973"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lightness","display_name":"Lightness","score":0.8548240661621094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7082405090332031},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5989072918891907},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5852076411247253},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.5544070601463318},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4935399293899536},{"id":"https://openalex.org/keywords/shading","display_name":"Shading","score":0.45993971824645996},{"id":"https://openalex.org/keywords/judgement","display_name":"Judgement","score":0.4157920777797699},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.41567185521125793},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.409866064786911},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.301901638507843},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.13359802961349487},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09876391291618347}],"concepts":[{"id":"https://openalex.org/C193601281","wikidata":"https://www.wikidata.org/wiki/Q19426","display_name":"Lightness","level":2,"score":0.8548240661621094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7082405090332031},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5989072918891907},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5852076411247253},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.5544070601463318},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4935399293899536},{"id":"https://openalex.org/C177515723","wikidata":"https://www.wikidata.org/wiki/Q1191981","display_name":"Shading","level":2,"score":0.45993971824645996},{"id":"https://openalex.org/C2776548248","wikidata":"https://www.wikidata.org/wiki/Q12621536","display_name":"Judgement","level":2,"score":0.4157920777797699},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.41567185521125793},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.409866064786911},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.301901638507843},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.13359802961349487},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09876391291618347},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2015.7298915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298915","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.698.5035","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.698.5035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ttic.uchicago.edu/%7Emmaire/papers/pdf/lightness_iiw_cvpr2015.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W39428922","https://openalex.org/W97134437","https://openalex.org/W1513440577","https://openalex.org/W1886634424","https://openalex.org/W1980842214","https://openalex.org/W1994794884","https://openalex.org/W2005544436","https://openalex.org/W2010812559","https://openalex.org/W2075252905","https://openalex.org/W2076491823","https://openalex.org/W2083779601","https://openalex.org/W2087257250","https://openalex.org/W2093130305","https://openalex.org/W2104371740","https://openalex.org/W2108598243","https://openalex.org/W2113404166","https://openalex.org/W2115549875","https://openalex.org/W2116919352","https://openalex.org/W2117751343","https://openalex.org/W2119523460","https://openalex.org/W2123785012","https://openalex.org/W2126602610","https://openalex.org/W2128659236","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2164847484","https://openalex.org/W6601593943","https://openalex.org/W6604023374","https://openalex.org/W6630676078","https://openalex.org/W6639461050","https://openalex.org/W6669667805","https://openalex.org/W6676297131","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2994336186","https://openalex.org/W2390827063","https://openalex.org/W2587512547","https://openalex.org/W2372305560","https://openalex.org/W2393851740","https://openalex.org/W2103040079","https://openalex.org/W2960872271","https://openalex.org/W2319567267","https://openalex.org/W2392589984","https://openalex.org/W2034437662"],"abstract_inverted_index":{"We":[0],"develop":[1],"a":[2,14,114],"new":[3],"approach":[4],"to":[5,49],"inferring":[6],"lightness,":[7],"the":[8,23,73,80,84,96],"perceived":[9],"reflectance":[10,35,43],"of":[11,25,111],"surfaces,":[12],"from":[13,22,58],"single":[15],"image.":[16],"Classic":[17],"methods":[18],"view":[19],"this":[20],"problem":[21],"perspective":[24],"intrinsic":[26],"image":[27,31],"decomposition,":[28],"where":[29],"an":[30],"is":[32],"separated":[33],"into":[34],"and":[36,44,65,106],"shading":[37,45],"components.":[38],"Rather":[39],"than":[40],"reason":[41],"about":[42],"together,":[46],"we":[47],"learn":[48],"directly":[50],"predict":[51],"lightness":[52,90,99],"differences":[53],"between":[54,109],"pixels.":[55],"Large-scale":[56],"training":[57],"human":[59],"judgement":[60],"data":[61],"on":[62,79],"relative":[63],"reflectance,":[64],"patch":[66],"representations":[67],"built":[68],"using":[69],"deep":[70],"networks,":[71],"provide":[72],"foundation":[74],"for":[75],"our":[76,88],"model.":[77],"Benchmarked":[78],"Intrinsic":[81],"Images":[82],"in":[83,113],"Wild":[85],"dataset":[86],"[4],":[87],"local":[89],"model":[91],"achieves":[92],"on-par":[93],"performance":[94],"with":[95],"state-of-the-art":[97],"global":[98],"model,":[100],"which":[101],"incorporates":[102],"multiple":[103],"shading/reflectance":[104],"priors":[105],"simultaneous":[107],"reasoning":[108],"pairs":[110],"pixels":[112],"dense":[115],"conditional":[116],"random":[117],"field":[118],"formulation.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}