{"id":"https://openalex.org/W3200478019","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533665","title":"Triplet Angular Loss for Pose-Robust Face Recognition","display_name":"Triplet Angular Loss for Pose-Robust Face Recognition","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3200478019","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533665","mag":"3200478019"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5072667319","display_name":"Zhenduo Zhang","orcid":"https://orcid.org/0000-0003-4823-7974"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenduo Zhang","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054886684","display_name":"Yongru Chen","orcid":"https://orcid.org/0000-0001-6134-3355"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongru Chen","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026184280","display_name":"Wenming Yang","orcid":"https://orcid.org/0000-0002-2506-1286"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenming Yang","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045183950","display_name":"Guijin Wang","orcid":"https://orcid.org/0000-0002-2131-3044"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guijin Wang","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009239895","display_name":"Qingmin Liao","orcid":"https://orcid.org/0000-0002-7509-3964"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingmin Liao","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5072667319"],"corresponding_institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.1921,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49269608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"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/T10057","display_name":"Face and Expression Recognition","score":0.9991999864578247,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9972000122070312,"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/facial-recognition-system","display_name":"Facial recognition system","score":0.7446010112762451},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.726560115814209},{"id":"https://openalex.org/keywords/compact-space","display_name":"Compact space","score":0.6623495817184448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6449424028396606},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6287039518356323},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.5471916198730469},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5378232598304749},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5079365372657776},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5052223801612854},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4934665262699127},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.47309163212776184},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4511876404285431},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2493405044078827},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.22232085466384888}],"concepts":[{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7446010112762451},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.726560115814209},{"id":"https://openalex.org/C18648836","wikidata":"https://www.wikidata.org/wiki/Q381892","display_name":"Compact space","level":2,"score":0.6623495817184448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6449424028396606},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6287039518356323},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.5471916198730469},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5378232598304749},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5079365372657776},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5052223801612854},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4934665262699127},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.47309163212776184},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4511876404285431},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2493405044078827},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.22232085466384888},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533665","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7197174099","display_name":null,"funder_award_id":"2020AI515010711","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W190346962","https://openalex.org/W1509966554","https://openalex.org/W1821462560","https://openalex.org/W1916406603","https://openalex.org/W1935685005","https://openalex.org/W1949778830","https://openalex.org/W2006158573","https://openalex.org/W2046305109","https://openalex.org/W2096733369","https://openalex.org/W2099471712","https://openalex.org/W2118181058","https://openalex.org/W2121647436","https://openalex.org/W2127182692","https://openalex.org/W2136863438","https://openalex.org/W2139332436","https://openalex.org/W2148714246","https://openalex.org/W2151103935","https://openalex.org/W2154211011","https://openalex.org/W2154872931","https://openalex.org/W2160126058","https://openalex.org/W2161969291","https://openalex.org/W2162458225","https://openalex.org/W2163352848","https://openalex.org/W2171937595","https://openalex.org/W2232201864","https://openalex.org/W2237250383","https://openalex.org/W2336258321","https://openalex.org/W2338953098","https://openalex.org/W2404498690","https://openalex.org/W2436544366","https://openalex.org/W2441198140","https://openalex.org/W2548780814","https://openalex.org/W2580365077","https://openalex.org/W2594202937","https://openalex.org/W2606533435","https://openalex.org/W2607839780","https://openalex.org/W2607987714","https://openalex.org/W2616063741","https://openalex.org/W2737047298","https://openalex.org/W2772024431","https://openalex.org/W2798575809","https://openalex.org/W2798807671","https://openalex.org/W2808174311","https://openalex.org/W2808283260","https://openalex.org/W2884066303","https://openalex.org/W2887901449","https://openalex.org/W2949309273","https://openalex.org/W2962827684","https://openalex.org/W2962898354","https://openalex.org/W2963100452","https://openalex.org/W2963216120","https://openalex.org/W2963466847","https://openalex.org/W2963559058","https://openalex.org/W2963570419","https://openalex.org/W2963861381","https://openalex.org/W2963991565","https://openalex.org/W2964337551","https://openalex.org/W2969985801","https://openalex.org/W2970832466","https://openalex.org/W2981978388","https://openalex.org/W2998505840","https://openalex.org/W3034527052","https://openalex.org/W3099206234","https://openalex.org/W3101036461","https://openalex.org/W3109286435","https://openalex.org/W3119584314","https://openalex.org/W3148981562","https://openalex.org/W4320013936","https://openalex.org/W4385490328","https://openalex.org/W6630649318","https://openalex.org/W6638523607","https://openalex.org/W6682644385","https://openalex.org/W6684981480","https://openalex.org/W6734540490","https://openalex.org/W6737797883","https://openalex.org/W6754033747","https://openalex.org/W6767370287","https://openalex.org/W6775468316","https://openalex.org/W6777498670","https://openalex.org/W6780439252"],"related_works":["https://openalex.org/W2166031825","https://openalex.org/W1996690921","https://openalex.org/W2918845005","https://openalex.org/W2040482211","https://openalex.org/W4387163326","https://openalex.org/W3108145925","https://openalex.org/W325114128","https://openalex.org/W2185537520","https://openalex.org/W1517271056","https://openalex.org/W2985118265"],"abstract_inverted_index":{"Although":[0],"face":[1,11,36,42,65,80,150],"recognition":[2,12],"has":[3],"been":[4],"widely":[5],"applied":[6],"in":[7,24,43,108,145],"many":[8],"areas,":[9],"pose-robust":[10,35,125,149],"is":[13],"still":[14],"a":[15,124,142],"challenging":[16,132],"topic":[17],"due":[18],"to":[19,32,99,122],"the":[20,34,40,59,63,67,74,78,82,90,95,101,105,114,146],"large":[21],"pose":[22],"variations":[23],"real":[25],"scenes.":[26],"In":[27,111],"this":[28,112],"paper,":[29],"we":[30,88],"propose":[31],"learn":[33],"representation":[37],"by":[38],"normalizing":[39],"profile":[41,64,79],"feature":[44,126],"level":[45],"directly":[46],"and":[47,53,66,81,93,104,135],"jointly":[48],"considering":[49],"both":[50],"intra-class":[51,102],"compactness":[52,103],"inter-class":[54,106],"separability.":[55],"Our":[56],"approach":[57,140],"minimizes":[58],"angular":[60,75,109],"distance":[61,76],"between":[62,77],"positive":[68],"frontal":[69,84],"anchor.":[70],"And":[71],"it":[72],"maximizes":[73],"negative":[83],"anchor":[85],"simultaneously.":[86],"Furthermore,":[87],"modify":[89],"Triplet":[91,96],"loss":[92,98],"derive":[94],"Angular":[97],"guarantee":[100],"separability":[107],"space.":[110],"way,":[113],"faces":[115],"under":[116],"varying":[117],"poses":[118],"can":[119],"cluster":[120],"compactly":[121],"create":[123],"representation.":[127],"Extensive":[128],"experiments":[129],"on":[130],"two":[131],"benchmarks":[133],"(CFP-FP":[134],"IJB-A)":[136],"illustrate":[137],"that":[138],"our":[139],"achieves":[141],"competitive":[143],"performance":[144],"field":[147],"of":[148],"recognition.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}