{"id":"https://openalex.org/W4388240180","doi":"https://doi.org/10.1109/tifs.2023.3329686","title":"Large Pose Face Recognition via Facial Representation Learning","display_name":"Large Pose Face Recognition via Facial Representation Learning","publication_year":2023,"publication_date":"2023-11-02","ids":{"openalex":"https://openalex.org/W4388240180","doi":"https://doi.org/10.1109/tifs.2023.3329686"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2023.3329686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2023.3329686","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Information Forensics and Security","raw_type":"journal-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/A5004773195","display_name":"Jingwei Xin","orcid":"https://orcid.org/0000-0001-9551-6007"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingwei Xin","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089839966","display_name":"Zikai Wei","orcid":"https://orcid.org/0000-0002-8749-2188"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zikai Wei","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042507268","display_name":"Nannan Wang","orcid":"https://orcid.org/0000-0002-4695-6134"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nannan Wang","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100642867","display_name":"Jie Li","orcid":"https://orcid.org/0000-0001-7950-4233"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101785348","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0003-1443-0776"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5004773195"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.8582,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.87960662,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"19","issue":null,"first_page":"934","last_page":"946"},"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/T10057","display_name":"Face and Expression Recognition","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/T10828","display_name":"Biometric Identification and Security","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.841659426689148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7749379873275757},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.6573736667633057},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6382226943969727},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5958855152130127},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.59353107213974},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5462580919265747},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5083033442497253},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5038456320762634},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.45552241802215576},{"id":"https://openalex.org/keywords/face-hallucination","display_name":"Face hallucination","score":0.44219446182250977},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4109894335269928},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.3764702379703522}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.841659426689148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7749379873275757},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.6573736667633057},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6382226943969727},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5958855152130127},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.59353107213974},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5462580919265747},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5083033442497253},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5038456320762634},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.45552241802215576},{"id":"https://openalex.org/C54654163","wikidata":"https://www.wikidata.org/wiki/Q5428359","display_name":"Face hallucination","level":5,"score":0.44219446182250977},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4109894335269928},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.3764702379703522},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2023.3329686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2023.3329686","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2022121445","display_name":null,"funder_award_id":"U21A20514","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2452297484","display_name":null,"funder_award_id":"QTZX23042","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4297946667","display_name":null,"funder_award_id":"U22A2096","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4496683086","display_name":null,"funder_award_id":"2022JQ-682","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G4820703861","display_name":null,"funder_award_id":"XJS220119","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7408314144","display_name":null,"funder_award_id":"62206211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8946150788","display_name":null,"funder_award_id":"62176195","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G913836228","display_name":null,"funder_award_id":"62036007","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1780066064","https://openalex.org/W1916406603","https://openalex.org/W1921147789","https://openalex.org/W1935685005","https://openalex.org/W1950843348","https://openalex.org/W1955369839","https://openalex.org/W2006500012","https://openalex.org/W2096733369","https://openalex.org/W2097117768","https://openalex.org/W2105703799","https://openalex.org/W2106053110","https://openalex.org/W2114588272","https://openalex.org/W2137857332","https://openalex.org/W2140609507","https://openalex.org/W2145287260","https://openalex.org/W2160126058","https://openalex.org/W2161969291","https://openalex.org/W2163808566","https://openalex.org/W2165942021","https://openalex.org/W2166465411","https://openalex.org/W2194775991","https://openalex.org/W2217448953","https://openalex.org/W2237250383","https://openalex.org/W2318782237","https://openalex.org/W2325939864","https://openalex.org/W2336258321","https://openalex.org/W2404498690","https://openalex.org/W2507920704","https://openalex.org/W2515770085","https://openalex.org/W2663800299","https://openalex.org/W2736633948","https://openalex.org/W2737047298","https://openalex.org/W2781292787","https://openalex.org/W2798575809","https://openalex.org/W2798807671","https://openalex.org/W2808174311","https://openalex.org/W2871667416","https://openalex.org/W2884928667","https://openalex.org/W2902412551","https://openalex.org/W2912990735","https://openalex.org/W2946791315","https://openalex.org/W2963094797","https://openalex.org/W2963100452","https://openalex.org/W2963216120","https://openalex.org/W2963460857","https://openalex.org/W2963466847","https://openalex.org/W2963777788","https://openalex.org/W2963839617","https://openalex.org/W2963861381","https://openalex.org/W2963896050","https://openalex.org/W2963976704","https://openalex.org/W2964337551","https://openalex.org/W2969985801","https://openalex.org/W3095866053","https://openalex.org/W3101036461","https://openalex.org/W3119584314","https://openalex.org/W3120488063","https://openalex.org/W3127511859","https://openalex.org/W3137722423","https://openalex.org/W3162426298","https://openalex.org/W3166898278","https://openalex.org/W3167034882","https://openalex.org/W3175487241","https://openalex.org/W4206483254","https://openalex.org/W4225672218","https://openalex.org/W6637373629","https://openalex.org/W6675751002","https://openalex.org/W6680902425","https://openalex.org/W6687259251","https://openalex.org/W6753410490","https://openalex.org/W6754033747"],"related_works":["https://openalex.org/W4220850864","https://openalex.org/W325114128","https://openalex.org/W2024640171","https://openalex.org/W4285815683","https://openalex.org/W63491089","https://openalex.org/W2185537520","https://openalex.org/W2336272890","https://openalex.org/W4312238398","https://openalex.org/W4246863173","https://openalex.org/W2166031825"],"abstract_inverted_index":{"Overcoming":[0],"image":[1],"acquisition":[2],"perspectives":[3],"and":[4,98,171,174],"face":[5,14,26,76,95,109,135,141,170,208],"pose":[6,29],"variations":[7],"is":[8,22,34,124],"a":[9,31,43,92,100,127,133],"key":[10],"problem":[11],"in":[12,65,130],"unconstrained":[13],"recognition":[15,136,151,209],"tasks.":[16],"One":[17],"of":[18,54,73,85,94,122,132,206],"the":[19,25,39,52,63,68,83,156,160,168,187,203],"practical":[20],"approaches":[21,97],"by":[23,38,163],"reconstructing":[24],"with":[27,57],"extreme":[28],"into":[30],"version":[32],"that":[33,146,186],"more":[35,148],"easily":[36],"recognized":[37],"discriminator,":[40],"such":[41],"as":[42],"frontal":[44,169],"face.":[45],"Often,":[46],"existing":[47,207],"methods":[48],"attempt":[49],"to":[50,107,125,177],"balance":[51],"accuracy":[53],"downstream":[55],"tasks":[56],"human":[58],"visual":[59],"perception,":[60],"but":[61,103,198],"ignore":[62],"differences":[64,166],"propensity":[66],"between":[67],"two.":[69],"Besides,":[70],"large-scale":[71],"datasets":[72],"profile-frontal":[74],"paired":[75],"images":[77,110],"are":[78,147],"absent,":[79],"which":[80,138],"further":[81,201],"hinders":[82],"training":[84],"models.":[86,210],"In":[87,154],"this":[88],"work,":[89],"we":[90],"investigate":[91],"variety":[93],"reconstruction":[96],"propose":[99],"very":[101,104],"simple,":[102],"effective":[105],"method":[106,189],"match":[108],"across":[111],"different":[112],"scenes,":[113],"named":[114],"facial":[115,161],"representation":[116,128,157,162],"learning":[117],"(FRL).":[118],"The":[119],"core":[120],"idea":[121],"FRL":[123],"introduce":[126],"generator":[129,158],"front":[131],"pre-trained":[134],"model,":[137],"can":[139,200],"extract":[140],"representations":[142],"from":[143,167],"arbitrary":[144],"faces":[145],"suitable":[149],"for":[150,179],"model":[152],"discrimination.":[153],"particular,":[155],"reconstructs":[159],"minimising":[164],"identity":[165],"adds":[172],"pixel-level":[173],"adversarial":[175],"constraints":[176],"cater":[178],"discriminator":[180],"preferences.":[181],"Extensive":[182],"benchmark":[183],"experiments":[184],"show":[185],"proposed":[188],"not":[190],"only":[191],"achieves":[192],"better":[193],"performance":[194],"than":[195],"state-of-the-art":[196],"methods,":[197],"also":[199],"squeeze":[202],"inference":[204],"potential":[205]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-03T08:47:05.690250","created_date":"2025-10-10T00:00:00"}
