{"id":"https://openalex.org/W4396505468","doi":"https://doi.org/10.1109/tip.2024.3393390","title":"Learning to Recover Spectral Reflectance From RGB Images","display_name":"Learning to Recover Spectral Reflectance From RGB Images","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396505468","doi":"https://doi.org/10.1109/tip.2024.3393390","pmid":"https://pubmed.ncbi.nlm.nih.gov/38687649"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3393390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3393390","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5026522091","display_name":"Dong Huo","orcid":"https://orcid.org/0000-0001-9232-5395"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Dong Huo","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, AB, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370330","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0001-5266-3808"},"institutions":[{"id":"https://openalex.org/I4210142583","display_name":"Snap (United States)","ror":"https://ror.org/04dgkhg68","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142583"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["Snapchat NYC, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Snapchat NYC, New York, NY, USA","institution_ids":["https://openalex.org/I4210142583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046672528","display_name":"Yiming Qian","orcid":"https://orcid.org/0000-0002-1795-2038"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yiming Qian","raw_affiliation_strings":["Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081300658","display_name":"Yee\u2010Hong Yang","orcid":"https://orcid.org/0000-0002-7194-3327"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yee-Hong Yang","raw_affiliation_strings":["Department of Computing Science, University of Alberta, Edmonton, AB, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026522091"],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":1.3748,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.80768542,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"33","issue":null,"first_page":"3174","last_page":"3186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.8451834917068481},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.780266523361206},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7442090511322021},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6631105542182922},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6198904514312744},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.6083670854568481},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36222246289253235},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07404288649559021}],"concepts":[{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.8451834917068481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.780266523361206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7442090511322021},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6631105542182922},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6198904514312744},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.6083670854568481},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36222246289253235},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07404288649559021},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3393390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3393390","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:38687649","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38687649","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311952","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938"},{"id":"https://openalex.org/F4320319946","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":83,"referenced_works":["https://openalex.org/W8423413","https://openalex.org/W227276345","https://openalex.org/W764651262","https://openalex.org/W935139217","https://openalex.org/W1251273715","https://openalex.org/W1496412567","https://openalex.org/W1522301498","https://openalex.org/W2010797000","https://openalex.org/W2012761844","https://openalex.org/W2012946078","https://openalex.org/W2020708554","https://openalex.org/W2058246635","https://openalex.org/W2072445211","https://openalex.org/W2087263574","https://openalex.org/W2116146912","https://openalex.org/W2123046940","https://openalex.org/W2123428385","https://openalex.org/W2124386111","https://openalex.org/W2133665775","https://openalex.org/W2138621882","https://openalex.org/W2146795245","https://openalex.org/W2163753106","https://openalex.org/W2172063876","https://openalex.org/W2520430674","https://openalex.org/W2521559113","https://openalex.org/W2557947379","https://openalex.org/W2753685993","https://openalex.org/W2766101120","https://openalex.org/W2776639132","https://openalex.org/W2790292758","https://openalex.org/W2807593488","https://openalex.org/W2848020186","https://openalex.org/W2882999943","https://openalex.org/W2893739000","https://openalex.org/W2895021180","https://openalex.org/W2895667927","https://openalex.org/W2897015430","https://openalex.org/W2942454403","https://openalex.org/W2943990897","https://openalex.org/W2962799344","https://openalex.org/W2963212367","https://openalex.org/W2963263347","https://openalex.org/W2963505747","https://openalex.org/W2963704386","https://openalex.org/W2963782415","https://openalex.org/W2963943197","https://openalex.org/W2964030969","https://openalex.org/W2989355516","https://openalex.org/W2997797376","https://openalex.org/W2998841120","https://openalex.org/W3000734921","https://openalex.org/W3013529009","https://openalex.org/W3034430110","https://openalex.org/W3034724715","https://openalex.org/W3035304632","https://openalex.org/W3035467803","https://openalex.org/W3035510038","https://openalex.org/W3035556176","https://openalex.org/W3036024602","https://openalex.org/W3099189289","https://openalex.org/W3105498448","https://openalex.org/W3107505690","https://openalex.org/W3111907788","https://openalex.org/W3151666947","https://openalex.org/W3160949528","https://openalex.org/W3175504264","https://openalex.org/W3177415989","https://openalex.org/W3195162645","https://openalex.org/W4224294196","https://openalex.org/W4236408562","https://openalex.org/W4292793979","https://openalex.org/W4312237916","https://openalex.org/W4312825200","https://openalex.org/W4379928090","https://openalex.org/W6631190155","https://openalex.org/W6717367658","https://openalex.org/W6726497184","https://openalex.org/W6729482032","https://openalex.org/W6736057607","https://openalex.org/W6757068045","https://openalex.org/W6769402767","https://openalex.org/W6780178746","https://openalex.org/W6810237957"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2356841320","https://openalex.org/W2145649715","https://openalex.org/W2047313939","https://openalex.org/W3102673927","https://openalex.org/W2327954668"],"abstract_inverted_index":{"This":[0],"paper":[1],"tackles":[2],"spectral":[3,13,17,133,151,171],"reflectance":[4,14,134,152,172],"recovery":[5],"(SRR)":[6],"from":[7,176],"RGB":[8,138,164,178],"images.":[9,64],"Since":[10],"capturing":[11],"ground-truth":[12],"and":[15,21,31,135,190,200,206],"camera":[16],"sensitivity":[18],"are":[19,26,42,49,166,208],"challenging":[20],"costly,":[22],"most":[23],"existing":[24],"approaches":[25],"trained":[27,47],"on":[28,51,116,144],"synthetic":[29],"images":[30,53,139,165,179],"utilize":[32],"the":[33,46,58,62,79,94,101,107,128,132,136,141,150,162,170,187,194,202],"same":[34],"parameters":[35,82],"for":[36],"all":[37],"unseen":[38],"testing":[39,63,85],"images,":[40],"which":[41],"suboptimal":[43],"especially":[44],"when":[45],"models":[48],"tested":[50],"real":[52],"because":[54],"they":[55],"never":[56],"exploit":[57],"internal":[59,91],"information":[60],"of":[61,96,114,153,173,196,201],"To":[65,93],"address":[66],"this":[67,99,111],"issue,":[68],"we":[69,120,168],"adopt":[70],"a":[71,123,154,174],"self-supervised":[72],"meta-auxiliary":[73],"learning":[74],"(MAXL)":[75],"strategy":[76,109],"that":[77,104,126],"fine-tunes":[78],"well-trained":[80],"network":[81,142,199],"with":[83,90],"each":[84],"image":[86],"to":[87,110,158,184],"combine":[88],"external":[89],"information.":[92],"best":[95],"our":[97,145,197],"knowledge,":[98],"is":[100,156],"first":[102],"work":[103],"successfully":[105],"adapts":[106],"MAXL":[108],"problem.":[112],"Instead":[113],"relying":[115],"naive":[117],"end-to-end":[118],"training,":[119],"also":[121],"propose":[122],"novel":[124],"architecture":[125],"integrates":[127],"physical":[129],"relationship":[130],"between":[131],"corresponding":[137,163],"into":[140],"based":[143],"mathematical":[146],"analysis.":[147],"Besides,":[148],"since":[149],"scene":[155,175],"independent":[157],"its":[159,177],"illumination":[160],"while":[161],"not,":[167],"recover":[169],"captured":[180],"under":[181],"multiple":[182],"illuminations":[183],"further":[185],"reduce":[186],"unknown.":[188],"Qualitative":[189],"quantitative":[191],"evaluations":[192],"demonstrate":[193],"effectiveness":[195],"proposed":[198],"MAXL.":[203],"Our":[204],"code":[205],"data":[207],"available":[209],"at":[210],"https://github.com/Dong-Huo/SRR-MAXL.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}