{"id":"https://openalex.org/W4313172961","doi":"https://doi.org/10.1109/icpr56361.2022.9956069","title":"Learning Consistent Global-Local Representation for Cross-Domain Facial Expression Recognition","display_name":"Learning Consistent Global-Local Representation for Cross-Domain Facial Expression Recognition","publication_year":2022,"publication_date":"2022-08-21","ids":{"openalex":"https://openalex.org/W4313172961","doi":"https://doi.org/10.1109/icpr56361.2022.9956069"},"language":"en","primary_location":{"id":"doi:10.1109/icpr56361.2022.9956069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956069","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101719326","display_name":"Yuhao Xie","orcid":"https://orcid.org/0000-0002-7850-1839"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhao Xie","raw_affiliation_strings":["South China Agricultural University,Guangzhou Key Laboratory of Intelligent Agriculture,College of Mathematics and Informatics,Guangzhou,China","College of Mathematics and Informatics, Guangzhou Key Laboratory of Intelligent Agriculture, South China Agricultural University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China Agricultural University,Guangzhou Key Laboratory of Intelligent Agriculture,College of Mathematics and Informatics,Guangzhou,China","institution_ids":["https://openalex.org/I101479585"]},{"raw_affiliation_string":"College of Mathematics and Informatics, Guangzhou Key Laboratory of Intelligent Agriculture, South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006224825","display_name":"Yuefang Gao","orcid":"https://orcid.org/0000-0003-4794-9961"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuefang Gao","raw_affiliation_strings":["South China Agricultural University,Guangzhou Key Laboratory of Intelligent Agriculture,College of Mathematics and Informatics,Guangzhou,China","College of Mathematics and Informatics, Guangzhou Key Laboratory of Intelligent Agriculture, South China Agricultural University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China Agricultural University,Guangzhou Key Laboratory of Intelligent Agriculture,College of Mathematics and Informatics,Guangzhou,China","institution_ids":["https://openalex.org/I101479585"]},{"raw_affiliation_string":"College of Mathematics and Informatics, Guangzhou Key Laboratory of Intelligent Agriculture, South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101419029","display_name":"Jiantao Lin","orcid":"https://orcid.org/0000-0001-5705-2299"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiantao Lin","raw_affiliation_strings":["Jinan University,School of Intelligent Systems Science and Engineering,Zhuhai,China","School of Intelligent Systems Science and Engineering, Jinan University, Zhuhai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jinan University,School of Intelligent Systems Science and Engineering,Zhuhai,China","institution_ids":["https://openalex.org/I159948400"]},{"raw_affiliation_string":"School of Intelligent Systems Science and Engineering, Jinan University, Zhuhai, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052027147","display_name":"Tianshui Chen","orcid":"https://orcid.org/0000-0002-5848-5624"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianshui Chen","raw_affiliation_strings":["Guangdong University of Technology,School of Information Engineering,Guangzhou,China","School of Information Engineering, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology,School of Information Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8321,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82828823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2489","last_page":"2495"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9987000226974487,"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/T10057","display_name":"Face and Expression Recognition","score":0.9987000226974487,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7243965864181519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7038570642471313},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6517331004142761},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.6256628036499023},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5872056484222412},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5328800082206726},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.5217334032058716},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.48712942004203796},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4667074382305145},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.4139710068702698},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.3211228847503662},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17290106415748596}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7243965864181519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7038570642471313},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6517331004142761},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.6256628036499023},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5872056484222412},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5328800082206726},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.5217334032058716},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48712942004203796},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4667074382305145},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.4139710068702698},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3211228847503662},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17290106415748596},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/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/icpr56361.2022.9956069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956069","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W1565746575","https://openalex.org/W1974758710","https://openalex.org/W2041616772","https://openalex.org/W2083021723","https://openalex.org/W2103943262","https://openalex.org/W2106115875","https://openalex.org/W2125389028","https://openalex.org/W2194775991","https://openalex.org/W2326887180","https://openalex.org/W2341528187","https://openalex.org/W2346638707","https://openalex.org/W2418112915","https://openalex.org/W2515770085","https://openalex.org/W2516416963","https://openalex.org/W2524215378","https://openalex.org/W2571076676","https://openalex.org/W2593768305","https://openalex.org/W2767405849","https://openalex.org/W2775699880","https://openalex.org/W2793245122","https://openalex.org/W2795155917","https://openalex.org/W2799657112","https://openalex.org/W2835246884","https://openalex.org/W2889978276","https://openalex.org/W2902346685","https://openalex.org/W2908186737","https://openalex.org/W2940983946","https://openalex.org/W2962784841","https://openalex.org/W2963163009","https://openalex.org/W2963515894","https://openalex.org/W2964347177","https://openalex.org/W2980096013","https://openalex.org/W2982204955","https://openalex.org/W3035456997","https://openalex.org/W3041674492","https://openalex.org/W3044985113","https://openalex.org/W3092802919","https://openalex.org/W3101998545","https://openalex.org/W3104842364","https://openalex.org/W3117495706","https://openalex.org/W3135516022","https://openalex.org/W3174485688","https://openalex.org/W4226179686","https://openalex.org/W4287663929","https://openalex.org/W6631943919","https://openalex.org/W6633774736","https://openalex.org/W6661087397","https://openalex.org/W6678815747","https://openalex.org/W6726453277","https://openalex.org/W6750109254","https://openalex.org/W6780724942","https://openalex.org/W6783593813","https://openalex.org/W6783953079","https://openalex.org/W6788168568","https://openalex.org/W6792033799","https://openalex.org/W7053068611"],"related_works":["https://openalex.org/W2466816617","https://openalex.org/W1970834875","https://openalex.org/W3174028392","https://openalex.org/W842936808","https://openalex.org/W2000517284","https://openalex.org/W2136503713","https://openalex.org/W2365318811","https://openalex.org/W2375330620","https://openalex.org/W2913710507","https://openalex.org/W2363755581"],"abstract_inverted_index":{"Domain":[0],"shift":[1],"is":[2,58,110],"one":[3],"of":[4,13,120,165],"the":[5,11,37,80,86,121,139,148,163,166],"knotty":[6],"problems":[7],"that":[8],"seriously":[9],"restricts":[10],"accuracy":[12,134],"cross-domain":[14,75],"facial":[15,76],"expression":[16,77],"recognition.":[17,78],"Most":[18],"existing":[19],"works":[20,33],"mainly":[21],"focus":[22],"on":[23,157],"learning":[24,56],"domain-invariant":[25,63,87],"features":[26,39,91,101,144],"by":[27],"global":[28,64,88,95,105],"feature":[29,53,67],"adaption,":[30],"and":[31,54,65,69,89,96,106,145,155],"little":[32],"are":[34,41,102,135],"conducted":[35],"using":[36],"local":[38,66,90,97,107],"which":[40,60],"more":[42,128],"transferable":[43],"across":[44],"different":[45],"domains.":[46],"In":[47],"this":[48],"paper,":[49],"a":[50,104],"consistent":[51],"global-local":[52,143],"semantic":[55,108],"framework":[57],"proposed":[59,81,167],"can":[61],"learn":[62],"representation,":[68],"generate":[70,114],"pseudo":[71,115,130],"labels":[72,116,131],"to":[73,112,138,161],"facilitate":[74],"Specifically,":[79],"method":[82],"first":[83],"simultaneously":[84],"learns":[85],"via":[92],"separately":[93],"adversarial":[94],"learning.":[98],"Once":[99],"those":[100],"acquired,":[103],"consistency":[109],"introduced":[111],"help":[113],"for":[117],"unlabeled":[118],"data":[119],"target":[122],"dataset.":[123],"By":[124],"performing":[125],"such":[126],"strategy,":[127],"efficiency":[129],"with":[132],"high":[133],"produced":[136],"due":[137],"information":[140],"diversity":[141],"in":[142],"do":[146],"without":[147],"image":[149],"transformation.":[150],"We":[151],"conduct":[152],"extensive":[153],"experiments":[154],"analyses":[156],"several":[158],"public":[159],"datasets":[160],"demonstrate":[162],"effectiveness":[164],"model.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}