{"id":"https://openalex.org/W4321020799","doi":"https://doi.org/10.1109/fg57933.2023.10042802","title":"Intrinsic Imaging Model Enhanced Contrastive Face Representation Learning","display_name":"Intrinsic Imaging Model Enhanced Contrastive Face Representation Learning","publication_year":2023,"publication_date":"2023-01-05","ids":{"openalex":"https://openalex.org/W4321020799","doi":"https://doi.org/10.1109/fg57933.2023.10042802"},"language":"en","primary_location":{"id":"doi:10.1109/fg57933.2023.10042802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg57933.2023.10042802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG)","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/A5040869327","display_name":"Haomiao Sun","orcid":"https://orcid.org/0000-0002-5975-8567"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haomiao Sun","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS,Beijing,China,100190","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS,Beijing,China,100190","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050297728","display_name":"Shiguang Shan","orcid":"https://orcid.org/0000-0002-8348-392X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiguang Shan","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS,Beijing,China,100190","University of Chinese Academy of Sciences, Beijing, China","Pengcheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS,Beijing,China,100190","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091049278","display_name":"Hu Han","orcid":"https://orcid.org/0000-0001-6010-1792"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Han","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS,Beijing,China,100190","University of Chinese Academy of Sciences, Beijing, China","Pengcheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS,Beijing,China,100190","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00909458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":1.0,"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/T11448","display_name":"Face recognition and analysis","score":1.0,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9969000220298767,"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/T10057","display_name":"Face and Expression Recognition","score":0.9908999800682068,"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/computer-science","display_name":"Computer science","score":0.7890030741691589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7330631017684937},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6235244274139404},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5395914316177368},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5017402172088623},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.49417999386787415},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4714145362377167},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4697699248790741},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45438137650489807},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4152989685535431},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3218100070953369},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08857715129852295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7890030741691589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7330631017684937},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6235244274139404},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5395914316177368},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5017402172088623},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.49417999386787415},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4714145362377167},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4697699248790741},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45438137650489807},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4152989685535431},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3218100070953369},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08857715129852295},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"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":1,"locations":[{"id":"doi:10.1109/fg57933.2023.10042802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg57933.2023.10042802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1869232744","display_name":null,"funder_award_id":"61732004,62176249","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W343636949","https://openalex.org/W1576579612","https://openalex.org/W1834627138","https://openalex.org/W1973016074","https://openalex.org/W2051297709","https://openalex.org/W2081835714","https://openalex.org/W2083880226","https://openalex.org/W2100495367","https://openalex.org/W2108598243","https://openalex.org/W2118304946","https://openalex.org/W2194775991","https://openalex.org/W2216017025","https://openalex.org/W2237250383","https://openalex.org/W2396445702","https://openalex.org/W2515770085","https://openalex.org/W2604672468","https://openalex.org/W2738672149","https://openalex.org/W2777922598","https://openalex.org/W2796822548","https://openalex.org/W2798291180","https://openalex.org/W2798685991","https://openalex.org/W2804665167","https://openalex.org/W2842511635","https://openalex.org/W2887997593","https://openalex.org/W2897308331","https://openalex.org/W2948242301","https://openalex.org/W2948303854","https://openalex.org/W2962760512","https://openalex.org/W2962786991","https://openalex.org/W2963557052","https://openalex.org/W2964094607","https://openalex.org/W2969059826","https://openalex.org/W2969985801","https://openalex.org/W3005680577","https://openalex.org/W3009561768","https://openalex.org/W3034215340","https://openalex.org/W3035060554","https://openalex.org/W3035523051","https://openalex.org/W3035524453","https://openalex.org/W3129190863","https://openalex.org/W3167584510","https://openalex.org/W3168822201","https://openalex.org/W3171007011","https://openalex.org/W3172456032","https://openalex.org/W3172615411","https://openalex.org/W3174847300","https://openalex.org/W3178738710","https://openalex.org/W3180195040","https://openalex.org/W3182879855","https://openalex.org/W3202521030","https://openalex.org/W3206846540","https://openalex.org/W4214689917","https://openalex.org/W4297808394","https://openalex.org/W6747899497","https://openalex.org/W6765052341","https://openalex.org/W6790291653"],"related_works":["https://openalex.org/W1989039360","https://openalex.org/W2908959303","https://openalex.org/W2060029454","https://openalex.org/W1560697087","https://openalex.org/W2136485282","https://openalex.org/W2146295394","https://openalex.org/W2545171730","https://openalex.org/W2347601237","https://openalex.org/W2093747323","https://openalex.org/W2136321227"],"abstract_inverted_index":{"Humans":[0],"can":[1],"easily":[2],"perceive":[3],"numerous":[4],"information":[5],"from":[6,188],"faces,":[7],"only":[8],"part":[9],"of":[10,22,29,55,89,93,99,136,168,173,202,212,223],"which":[11,84],"has":[12],"been":[13],"achieved":[14],"by":[15,111],"a":[16,52,74,142],"machine,":[17],"thanks":[18],"to":[19,51,61,105,128,132],"the":[20,90,94,112,118,130,134,139,161,166,171,174,178,189,199,203,221,224],"availability":[21],"large-scale":[23,68],"face":[24,34,70,76,108,140,151,175,186],"images":[25,71],"with":[26,141,205],"supervision":[27],"signals":[28],"those":[30],"specific":[31],"tasks.":[32],"More":[33],"perception":[35],"tasks,":[36],"like":[37,80],"rare":[38],"expression":[39],"or":[40],"attribute":[41],"recognition,":[42],"and":[43,72,191,197],"genetic":[44],"syndrome":[45],"diagnosis,":[46],"are":[47],"not":[48,87],"solved":[49],"due":[50],"critical":[53],"shortage":[54],"supervised":[56,214],"data.":[57,215],"One":[58],"possible":[59],"way":[60],"solve":[62],"these":[63],"tasks":[64,209],"is":[65,164],"leveraging":[66],"ubiquitous":[67],"unsupervised":[69,195],"building":[73],"foundation":[75],"model":[77,146],"via":[78],"methods":[79],"contrastive":[81,107],"learning":[82,110],"(CL),":[83],"is,":[85],"however,":[86],"aware":[88],"intrinsic":[91,154],"physics":[92],"human":[95],"face.":[96],"In":[97,182],"consideration":[98],"this":[100,102,159],"shortcoming,":[101],"paper":[103],"proposes":[104],"enhance":[106],"representation":[109],"physical":[113,144],"imaging":[114,145,156],"model.":[115],"Specifically,":[116],"besides":[117],"CL-backbone":[119,131],"network,":[120],"we":[121,184],"also":[122],"design":[123],"an":[124,149],"auxiliary":[125],"bypass":[126],"pathway":[127],"constrain":[129],"support":[133],"ability":[135],"accurately":[137],"re-rendering":[138],"differentiable":[143],"after":[147],"decomposing":[148],"input":[150],"image":[152],"into":[153],"3D":[155,172],"factors.":[157],"With":[158],"design,":[160],"CL":[162],"network":[163],"endowed":[165],"capacity":[167],"implicitly":[169],"\u201cknowing\u201d":[170],"rather":[176],"than":[177],"2D":[179],"pixels":[180],"only.":[181],"experiments,":[183],"learn":[185],"representations":[187,204],"CelebA":[190],"WebFace-42M":[192],"datasets":[193],"in":[194,210],"mode":[196],"evaluate":[198],"generalization":[200],"capability":[201],"three":[206],"different":[207],"downstream":[208],"case":[211],"limited":[213],"The":[216],"experimental":[217],"results":[218],"clearly":[219],"justify":[220],"effectiveness":[222],"proposed":[225],"method.":[226]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}