{"id":"https://openalex.org/W3013995593","doi":"https://doi.org/10.1109/access.2020.2983459","title":"Multi-View Face Recognition Via Well-Advised Pose Normalization Network","display_name":"Multi-View Face Recognition Via Well-Advised Pose Normalization Network","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3013995593","doi":"https://doi.org/10.1109/access.2020.2983459","mag":"3013995593"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2983459","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2983459","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09047862.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09047862.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074407139","display_name":"Xiaohu Shao","orcid":"https://orcid.org/0000-0003-1141-6020"},"institutions":[{"id":"https://openalex.org/I4210123021","display_name":"Chongqing Institute of Green and Intelligent Technology","ror":"https://ror.org/031npqv35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210123021"]},{"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":"Xiaohu Shao","raw_affiliation_strings":["Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1141-6020","affiliations":[{"raw_affiliation_string":"Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I4210123021"]},{"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/A5090238197","display_name":"Xiangdong Zhou","orcid":"https://orcid.org/0000-0002-4451-5327"},"institutions":[{"id":"https://openalex.org/I4210123021","display_name":"Chongqing Institute of Green and Intelligent Technology","ror":"https://ror.org/031npqv35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210123021"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangdong Zhou","raw_affiliation_strings":["Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-4451-5327","affiliations":[{"raw_affiliation_string":"Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I4210123021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101460141","display_name":"Zhenghao Li","orcid":"https://orcid.org/0000-0001-9898-8974"},"institutions":[{"id":"https://openalex.org/I4210123021","display_name":"Chongqing Institute of Green and Intelligent Technology","ror":"https://ror.org/031npqv35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210123021"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenghao Li","raw_affiliation_strings":["Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-9898-8974","affiliations":[{"raw_affiliation_string":"Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I4210123021"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102842773","display_name":"Yu Shi","orcid":"https://orcid.org/0000-0001-9117-8282"},"institutions":[{"id":"https://openalex.org/I4210123021","display_name":"Chongqing Institute of Green and Intelligent Technology","ror":"https://ror.org/031npqv35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210123021"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Shi","raw_affiliation_strings":["Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-9117-8282","affiliations":[{"raw_affiliation_string":"Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I4210123021"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1958,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.47759391,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"66400","last_page":"66410"},"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":0.9975000023841858,"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":0.9919000267982483,"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/normalization","display_name":"Normalization (sociology)","score":0.8840606212615967},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8439589738845825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7145755290985107},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6355487108230591},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5794745683670044},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5287413597106934},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.52073073387146},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5111668705940247},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5049553513526917},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4838244318962097},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4476739168167114},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4411658048629761},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1889457404613495}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.8840606212615967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8439589738845825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7145755290985107},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6355487108230591},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5794745683670044},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5287413597106934},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.52073073387146},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5111668705940247},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5049553513526917},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4838244318962097},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4476739168167114},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4411658048629761},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1889457404613495},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2983459","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2983459","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09047862.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:28d567e6ccdd4b3e82a4c3fc66fa4077","is_oa":true,"landing_page_url":"https://doaj.org/article/28d567e6ccdd4b3e82a4c3fc66fa4077","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 66400-66410 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2983459","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2983459","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09047862.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6399999856948853,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2829428162","display_name":null,"funder_award_id":"2018YFC0808303","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3752433730","display_name":null,"funder_award_id":"61806185","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7366292595","display_name":null,"funder_award_id":"2018YFC0808303","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8819111717","display_name":null,"funder_award_id":"61802361","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3013995593.pdf","grobid_xml":"https://content.openalex.org/works/W3013995593.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W1493146138","https://openalex.org/W1522301498","https://openalex.org/W1677182931","https://openalex.org/W1703179648","https://openalex.org/W1780066064","https://openalex.org/W1916406603","https://openalex.org/W1935685005","https://openalex.org/W1949778830","https://openalex.org/W1955369839","https://openalex.org/W1964414683","https://openalex.org/W1976948919","https://openalex.org/W1994780340","https://openalex.org/W1998808035","https://openalex.org/W2088115584","https://openalex.org/W2096733369","https://openalex.org/W2097437748","https://openalex.org/W2121956191","https://openalex.org/W2137695006","https://openalex.org/W2145287260","https://openalex.org/W2153169342","https://openalex.org/W2162458225","https://openalex.org/W2163808566","https://openalex.org/W2220707429","https://openalex.org/W2237250383","https://openalex.org/W2304348237","https://openalex.org/W2307523691","https://openalex.org/W2331128040","https://openalex.org/W2336258321","https://openalex.org/W2404498690","https://openalex.org/W2507920704","https://openalex.org/W2515770085","https://openalex.org/W2559289659","https://openalex.org/W2609575245","https://openalex.org/W2617561348","https://openalex.org/W2737047298","https://openalex.org/W2753407461","https://openalex.org/W2772024431","https://openalex.org/W2788556125","https://openalex.org/W2798807671","https://openalex.org/W2799209711","https://openalex.org/W2808174311","https://openalex.org/W2912990735","https://openalex.org/W2949309273","https://openalex.org/W2953384591","https://openalex.org/W2962725301","https://openalex.org/W2962827684","https://openalex.org/W2963100452","https://openalex.org/W2963466847","https://openalex.org/W2963671154","https://openalex.org/W2963839617","https://openalex.org/W2963861381","https://openalex.org/W2964014798","https://openalex.org/W2964337551","https://openalex.org/W2969985801","https://openalex.org/W3099206234","https://openalex.org/W3101036461","https://openalex.org/W3101227480","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6637320534","https://openalex.org/W6637940854","https://openalex.org/W6640455264","https://openalex.org/W6641173728","https://openalex.org/W6677578707","https://openalex.org/W6713134421","https://openalex.org/W6743905813","https://openalex.org/W6748250553","https://openalex.org/W6754033747"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W4385421777","https://openalex.org/W2969215546"],"abstract_inverted_index":{"Numerous":[0],"face":[1,21,80,149],"frontalization":[2,34,70],"methods":[3],"based":[4],"on":[5,78,96,148],"3D":[6],"Morphable":[7],"Model":[8],"(3DMM)":[9],"and":[10,27,41,65,113,137,140,154],"Generative":[11],"Adversarial":[12],"Networks":[13],"(GAN)":[14],"have":[15],"made":[16],"great":[17],"progress":[18],"in":[19],"multi-view":[20,79],"recognition.":[22,81],"However,":[23],"facial":[24,89,117],"feature":[25,122],"analysis":[26],"identity":[28],"discrimination":[29],"often":[30],"suffer":[31],"from":[32],"failure":[33],"results":[35],"because":[36],"of":[37,102,145],"monotonous":[38],"single-domain":[39],"training":[40],"unpredictable":[42],"input":[43],"profile":[44],"faces.":[45],"To":[46],"overcome":[47],"the":[48,107,143],"drawback,":[49],"we":[50,85],"present":[51],"a":[52,75],"novel":[53],"approach":[54],"named":[55],"Well-advised":[56],"Pose":[57],"Normalization":[58],"Network":[59],"(WAPNN),":[60],"which":[61],"leverages":[62],"multiple":[63],"domains":[64],"extracts":[66],"features":[67,118],"considering":[68],"their":[69],"qualities":[71],"wisely,":[72],"to":[73,99],"achieve":[74],"high":[76,138],"accuracy":[77],"Through":[82],"multi-domain":[83],"datasets,":[84],"design":[86],"an":[87],"end-to-end":[88],"pose":[90],"normalization":[91],"network":[92],"with":[93,134],"adaptive":[94],"weights":[95],"different":[97],"objectives":[98],"exploit":[100],"potentialities":[101],"various":[103,146],"profile-front":[104],"relationships.":[105],"Meanwhile,":[106],"proposed":[108],"method":[109,129],"encourages":[110],"intra-class":[111],"compactness":[112],"inter-class":[114],"separability":[115],"between":[116],"by":[119],"introducing":[120],"quality-aware":[121],"fusion.":[123],"Experimental":[124],"analyses":[125],"show":[126],"that":[127],"our":[128],"effectively":[130],"recovers":[131],"frontal":[132],"faces":[133],"good-quality":[135],"textures":[136],"identity-preserving,":[139],"significantly":[141],"reduces":[142],"impact":[144],"poses":[147],"recognition":[150],"under":[151],"both":[152],"constrained":[153],"wild":[155],"environments.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}