{"id":"https://openalex.org/W2080503091","doi":"https://doi.org/10.1109/cvpr.2012.6247696","title":"From pixels to physics: Probabilistic color de-rendering","display_name":"From pixels to physics: Probabilistic color de-rendering","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2080503091","doi":"https://doi.org/10.1109/cvpr.2012.6247696","mag":"2080503091"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6247696","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247696","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:11913238","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101716378","display_name":"Ying Xiong","orcid":"https://orcid.org/0000-0002-8611-8522"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ying Xiong","raw_affiliation_strings":["Harvard University, USA","Harvard University"],"affiliations":[{"raw_affiliation_string":"Harvard University, USA","institution_ids":["https://openalex.org/I2801851002"]},{"raw_affiliation_string":"Harvard University","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075906727","display_name":"Kate Saenko","orcid":"https://orcid.org/0000-0002-7564-7218"},"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":"K. Saenko","raw_affiliation_strings":["University of California, Berkeley, USA","UC BERKELEY"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"UC BERKELEY","institution_ids":["https://openalex.org/I134446601"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029105520","display_name":"Trevor Darrell","orcid":"https://orcid.org/0000-0001-5453-8533"},"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":false,"raw_author_name":"T. Darrell","raw_affiliation_strings":["University of California, Berkeley, USA","UC BERKELEY"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"UC BERKELEY","institution_ids":["https://openalex.org/I134446601"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073071472","display_name":"Todd Zickler","orcid":"https://orcid.org/0000-0002-3853-1558"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T. Zickler","raw_affiliation_strings":["Harvard University, USA","Harvard University"],"affiliations":[{"raw_affiliation_string":"Harvard University, USA","institution_ids":["https://openalex.org/I2801851002"]},{"raw_affiliation_string":"Harvard University","institution_ids":["https://openalex.org/I2801851002"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101716378"],"corresponding_institution_ids":["https://openalex.org/I2801851002"],"apc_list":null,"apc_paid":null,"fwci":3.2,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.92199389,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"358","last_page":"365"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9994000196456909,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9991000294685364,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/gamut","display_name":"Gamut","score":0.9644565582275391},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6853640675544739},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6505264639854431},{"id":"https://openalex.org/keywords/tone-mapping","display_name":"Tone mapping","score":0.6493621468544006},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6102132797241211},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5784430503845215},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.554313063621521},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.47471821308135986},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4569426476955414},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3959488868713379},{"id":"https://openalex.org/keywords/high-dynamic-range","display_name":"High dynamic range","score":0.18490460515022278},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.0992555022239685}],"concepts":[{"id":"https://openalex.org/C2780061478","wikidata":"https://www.wikidata.org/wiki/Q375857","display_name":"Gamut","level":2,"score":0.9644565582275391},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6853640675544739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6505264639854431},{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.6493621468544006},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6102132797241211},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5784430503845215},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.554313063621521},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.47471821308135986},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4569426476955414},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3959488868713379},{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.18490460515022278},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.0992555022239685}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2012.6247696","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247696","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:dash.harvard.edu:1/11913238","is_oa":true,"landing_page_url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:11913238","pdf_url":null,"source":{"id":"https://openalex.org/S4306401540","display_name":"Digital Access to Scholarship at Harvard (DASH) (Harvard University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I136199984","host_organization_name":"Harvard University","host_organization_lineage":["https://openalex.org/I136199984"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.646.2960","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.2960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://people.seas.harvard.edu/~yxiong/publications/derendering_cvpr2012.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:dash.harvard.edu:1/11913238","is_oa":true,"landing_page_url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:11913238","pdf_url":null,"source":{"id":"https://openalex.org/S4306401540","display_name":"Digital Access to Scholarship at Harvard (DASH) (Harvard University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I136199984","host_organization_name":"Harvard University","host_organization_lineage":["https://openalex.org/I136199984"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W173071824","https://openalex.org/W1487582710","https://openalex.org/W1502930520","https://openalex.org/W1554944419","https://openalex.org/W1975089519","https://openalex.org/W1977341822","https://openalex.org/W2028886784","https://openalex.org/W2031953727","https://openalex.org/W2060685037","https://openalex.org/W2069281566","https://openalex.org/W2074629420","https://openalex.org/W2091210339","https://openalex.org/W2093366637","https://openalex.org/W2098949458","https://openalex.org/W2100297733","https://openalex.org/W2104745266","https://openalex.org/W2105813220","https://openalex.org/W2110288559","https://openalex.org/W2122410868","https://openalex.org/W2128638437","https://openalex.org/W2130700878","https://openalex.org/W2133934946","https://openalex.org/W2138127543","https://openalex.org/W2139616920","https://openalex.org/W2142995583","https://openalex.org/W2143736264","https://openalex.org/W2145502302","https://openalex.org/W2153718730","https://openalex.org/W2171033594","https://openalex.org/W2171151647","https://openalex.org/W2202517841","https://openalex.org/W3150008173","https://openalex.org/W4236229596","https://openalex.org/W4387166644","https://openalex.org/W6629378871","https://openalex.org/W6674660115","https://openalex.org/W6676327744","https://openalex.org/W6679195571","https://openalex.org/W6681463892"],"related_works":["https://openalex.org/W4377822865","https://openalex.org/W2025508106","https://openalex.org/W1978051072","https://openalex.org/W3006819602","https://openalex.org/W2020582692","https://openalex.org/W2318676702","https://openalex.org/W1963755649","https://openalex.org/W2044382768","https://openalex.org/W2037310612","https://openalex.org/W2061321107"],"abstract_inverted_index":{"Consumer":[0],"digital":[1],"cameras":[2,123],"use":[3,76,87],"tone-mapping":[4],"to":[5,36,50,75,83,99],"produce":[6],"compact,":[7],"narrow-gamut":[8,47,104],"images":[9],"that":[10,25,43,113,126],"are":[11,58,134,154],"nonetheless":[12],"visually":[13],"pleasing.":[14],"In":[15],"doing":[16],"so,":[17],"they":[18],"discard":[19],"or":[20],"distort":[21],"substantial":[22],"radiometric":[23],"signal":[24],"could":[26,114],"otherwise":[27],"be":[28],"used":[29],"for":[30,101,163],"computer":[31],"vision.":[32],"Existing":[33],"methods":[34],"attempt":[35],"undo":[37],"these":[38,127,152],"effects":[39],"through":[40],"deterministic":[41,160],"maps":[42],"de-render":[44],"the":[45,62,110],"reported":[46],"colors":[48,112],"back":[49],"their":[51],"original":[52],"wide-gamut":[53],"sensor":[54],"measurements.":[55],"Deterministic":[56],"approaches":[57],"unreliable,":[59],"however,":[60],"because":[61],"reverse":[63],"narrow-to-wide":[64],"mapping":[65],"is":[66,74],"one-to-many":[67],"and":[68,146,165],"has":[69],"inherent":[70],"uncertainty.":[71],"Our":[72,149],"solution":[73],"probabilistic":[77,138],"maps,":[78],"providing":[79],"uncertainty":[80],"estimates":[81],"useful":[82],"many":[84],"applications.":[85],"We":[86],"a":[88,106,119],"non-parametric":[89],"Bayesian":[90],"regression":[91,97],"technique":[92],"-":[93,98],"local":[94],"Gaussian":[95],"process":[96],"learn":[100],"each":[102],"pixel's":[103],"color":[105],"probability":[107],"distribution":[108],"over":[109],"scene":[111],"have":[115],"created":[116],"it.":[117],"Using":[118],"variety":[120],"of":[121,140,158],"consumer":[122],"we":[124],"show":[125],"distributions,":[128],"once":[129],"learned":[130],"from":[131],"training":[132],"data,":[133],"effective":[135],"in":[136],"simple":[137],"adaptations":[139],"two":[141],"popular":[142],"applications:":[143],"multi-exposure":[144],"imaging":[145],"photometric":[147],"stereo.":[148],"results":[150],"on":[151],"applications":[153],"better":[155],"than":[156],"those":[157],"corresponding":[159],"approaches,":[161],"especially":[162],"saturated":[164],"out-of-gamut":[166],"colors.":[167]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
