{"id":"https://openalex.org/W4389610576","doi":"https://doi.org/10.1109/ivcnz61134.2023.10344007","title":"De-lighting Human Images Using Region-Specific Data Augmentation","display_name":"De-lighting Human Images Using Region-Specific Data Augmentation","publication_year":2023,"publication_date":"2023-11-29","ids":{"openalex":"https://openalex.org/W4389610576","doi":"https://doi.org/10.1109/ivcnz61134.2023.10344007"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz61134.2023.10344007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz61134.2023.10344007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/De-lighting_Human_Images_Using_Region-Specific_Data_Augmentation/24633774","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Joshua Weir","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Joshua Weir","raw_affiliation_strings":["Computational Media Innovation Centre (CMIC)"],"affiliations":[{"raw_affiliation_string":"Computational Media Innovation Centre (CMIC)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048022062","display_name":"Junhong Zhao","orcid":"https://orcid.org/0000-0001-7031-3828"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Junhong Zhao","raw_affiliation_strings":["Te Herenga Waka - Victoria University of Wellington,Wellington,New Zealand","Te Herenga Waka - Victoria University of Wellington, Wellington, New Zealand"],"affiliations":[{"raw_affiliation_string":"Te Herenga Waka - Victoria University of Wellington,Wellington,New Zealand","institution_ids":["https://openalex.org/I41156924"]},{"raw_affiliation_string":"Te Herenga Waka - Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082382133","display_name":"Andrew Chalmers","orcid":"https://orcid.org/0000-0001-6457-7341"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrew Chalmers","raw_affiliation_strings":["Computational Media Innovation Centre (CMIC)"],"affiliations":[{"raw_affiliation_string":"Computational Media Innovation Centre (CMIC)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037698938","display_name":"Taehyun Rhee","orcid":"https://orcid.org/0000-0002-6150-0637"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Taehyun Rhee","raw_affiliation_strings":["Computational Media Innovation Centre (CMIC)"],"affiliations":[{"raw_affiliation_string":"Computational Media Innovation Centre (CMIC)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3563,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61196289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9988999962806702,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9916999936103821,"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/computer-science","display_name":"Computer science","score":0.7864928245544434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7351671457290649},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6590111255645752},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5258636474609375},{"id":"https://openalex.org/keywords/hue","display_name":"Hue","score":0.5144820213317871},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.4923166036605835},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44444796442985535},{"id":"https://openalex.org/keywords/clothing","display_name":"Clothing","score":0.4421081244945526},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4245613217353821},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.41782256960868835},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4169902205467224},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14045041799545288}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7864928245544434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7351671457290649},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6590111255645752},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5258636474609375},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.5144820213317871},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.4923166036605835},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44444796442985535},{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.4421081244945526},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4245613217353821},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.41782256960868835},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4169902205467224},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14045041799545288},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ivcnz61134.2023.10344007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz61134.2023.10344007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"},{"id":"pmh:oai:figshare.com:article/24633774","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/De-lighting_Human_Images_Using_Region-Specific_Data_Augmentation/24633774","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.25455/wgtn.24633774","is_oa":true,"landing_page_url":"https://doi.org/10.25455/wgtn.24633774","pdf_url":null,"source":{"id":"https://openalex.org/S7407051402","display_name":"Victoria University of Wellington","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/24633774","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/De-lighting_Human_Images_Using_Region-Specific_Data_Augmentation/24633774","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310144","display_name":"Tertiary Education Commission","ror":"https://ror.org/05xhe5a74"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1550922062","https://openalex.org/W1901129140","https://openalex.org/W2002464721","https://openalex.org/W2067425370","https://openalex.org/W2108428911","https://openalex.org/W2123921160","https://openalex.org/W2133665775","https://openalex.org/W2235136907","https://openalex.org/W2237250383","https://openalex.org/W2331128040","https://openalex.org/W2560535660","https://openalex.org/W2908841923","https://openalex.org/W2916798096","https://openalex.org/W2942551262","https://openalex.org/W2952080583","https://openalex.org/W2964094607","https://openalex.org/W2979836745","https://openalex.org/W2981959899","https://openalex.org/W2985680131","https://openalex.org/W2988112387","https://openalex.org/W3034192160","https://openalex.org/W3034371424","https://openalex.org/W3034868405","https://openalex.org/W3047371217","https://openalex.org/W3048401767","https://openalex.org/W3082169377","https://openalex.org/W3110182603","https://openalex.org/W3115879670","https://openalex.org/W3123889096","https://openalex.org/W3138204990","https://openalex.org/W3164455552","https://openalex.org/W3180079582","https://openalex.org/W3205062768","https://openalex.org/W4285124635","https://openalex.org/W4289076055","https://openalex.org/W4295312788","https://openalex.org/W4297900125","https://openalex.org/W4312544872","https://openalex.org/W4312776859","https://openalex.org/W4313002164","https://openalex.org/W6631190155","https://openalex.org/W6766978945","https://openalex.org/W6797935662"],"related_works":["https://openalex.org/W2738456166","https://openalex.org/W4320518079","https://openalex.org/W2039822179","https://openalex.org/W4386771591","https://openalex.org/W2352745894","https://openalex.org/W2057731951","https://openalex.org/W2358836583","https://openalex.org/W2972873516","https://openalex.org/W4296345609","https://openalex.org/W1997160662"],"abstract_inverted_index":{"This":[0,99],"study":[1],"aims":[2],"to":[3,7,86],"use":[4],"deep":[5],"learning":[6],"recover":[8],"the":[9,29,106],"diffuse":[10],"albedo":[11,147],"of":[12,20,32,57],"human":[13,37,121],"images":[14],"captured":[15],"under":[16],"a":[17,46,54,62,65,78,119,137],"wide":[18,30],"range":[19],"real-world":[21],"lighting":[22],"conditions.":[23],"A":[24],"key":[25],"challenge":[26],"here":[27],"is":[28,71,101],"variety":[31],"textures":[33],"found":[34],"in":[35,146,150],"full-body":[36],"images.":[38],"While":[39],"some":[40],"aspects":[41],"like":[42],"skin":[43,158],"color":[44,48],"have":[45],"limited":[47],"range,":[49],"clothing":[50,151],"and":[51,59,129,153],"accessories":[52],"display":[53],"broad":[55],"spectrum":[56],"colors":[58],"textures.":[60],"As":[61],"result,":[63],"creating":[64],"comprehensive":[66],"dataset":[67],"with":[68,156],"accurate":[69],"labels":[70],"unfeasible.":[72],"To":[73],"address":[74],"this,":[75],"we":[76,125],"propose":[77],"data":[79],"augmentation":[80],"method":[81],"that":[82],"involves":[83],"applying":[84],"color-shifts":[85],"various":[87],"semantic":[88],"regions":[89],"within":[90],"our":[91],"training":[92],"images,":[93],"all":[94],"while":[95],"maintaining":[96],"realistic":[97],"appearance.":[98],"process":[100],"accomplished":[102],"by":[103],"initially":[104],"segmenting":[105],"ground-truth":[107],"albedos":[108],"into":[109],"their":[110,127],"respective":[111],"components":[112],"(e.g.,":[113],"pants,":[114],"shirt,":[115],"hair,":[116],"etc.)":[117],"using":[118,132],"pre-trained":[120],"parsing":[122],"network.":[123],"Then,":[124],"adjust":[126],"hue":[128],"intensity":[130],"channels":[131],"randomly":[133],"chosen":[134],"values":[135],"from":[136],"carefully":[138],"defined":[139],"distribution.":[140],"Our":[141],"results":[142],"show":[143],"significant":[144],"improvements":[145],"recovery,":[148],"especially":[149],"areas,":[152],"better":[154],"performance":[155],"underrepresented":[157],"tones.":[159]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
