{"id":"https://openalex.org/W4390285211","doi":"https://doi.org/10.1109/tip.2023.3345177","title":"Facial Prior Guided Micro-Expression Generation","display_name":"Facial Prior Guided Micro-Expression Generation","publication_year":2023,"publication_date":"2023-12-27","ids":{"openalex":"https://openalex.org/W4390285211","doi":"https://doi.org/10.1109/tip.2023.3345177","pmid":"https://pubmed.ncbi.nlm.nih.gov/38150346"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2023.3345177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3345177","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100388352","display_name":"Yi Zhang","orcid":"https://orcid.org/0009-0002-1010-9205"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["National Key Laboratory of General Artificial Intelligence, Peking University, Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of General Artificial Intelligence, Peking University, Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100619110","display_name":"Xinhua Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhua Xu","raw_affiliation_strings":["National Key Laboratory of General Artificial Intelligence, Peking University, Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of General Artificial Intelligence, Peking University, Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039534380","display_name":"Youjun Zhao","orcid":"https://orcid.org/0009-0002-6507-1099"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youjun Zhao","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074489530","display_name":"Yuhang Wen","orcid":"https://orcid.org/0000-0001-6644-4075"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang Wen","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101410184","display_name":"Zixuan Tang","orcid":"https://orcid.org/0000-0002-7394-8666"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixuan Tang","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100705472","display_name":"Mengyuan Liu","orcid":"https://orcid.org/0000-0002-6332-8316"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengyuan Liu","raw_affiliation_strings":["National Key Laboratory of General Artificial Intelligence, Peking University, Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of General Artificial Intelligence, Peking University, Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100388352"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":2.6248,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.91902649,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"33","issue":null,"first_page":"525","last_page":"540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9955000281333923,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9941999912261963,"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":0.5294731855392456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5016753673553467},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.500295877456665},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.4773695170879364},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4285874366760254}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5294731855392456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5016753673553467},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.500295877456665},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.4773695170879364},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4285874366760254}],"mesh":[{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D005149","descriptor_name":"Facial Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005149","descriptor_name":"Facial Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005149","descriptor_name":"Facial Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2023.3345177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3345177","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:38150346","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38150346","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3032439290","display_name":null,"funder_award_id":"JCYJ20230807120801002","funder_id":"https://openalex.org/F4320316880","funder_display_name":"Natural Science Foundation of Shenzhen City"},{"id":"https://openalex.org/G8283459870","display_name":null,"funder_award_id":"62203476","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320316880","display_name":"Natural Science Foundation of Shenzhen City","ror":null},{"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":85,"referenced_works":["https://openalex.org/W1588539311","https://openalex.org/W1983014650","https://openalex.org/W2006426145","https://openalex.org/W2044106642","https://openalex.org/W2059068649","https://openalex.org/W2072038603","https://openalex.org/W2087681821","https://openalex.org/W2093033615","https://openalex.org/W2139916508","https://openalex.org/W2170735791","https://openalex.org/W2331128040","https://openalex.org/W2426188534","https://openalex.org/W2485861135","https://openalex.org/W2567449792","https://openalex.org/W2567602236","https://openalex.org/W2571743746","https://openalex.org/W2581686065","https://openalex.org/W2583574148","https://openalex.org/W2587585332","https://openalex.org/W2623355927","https://openalex.org/W2793245122","https://openalex.org/W2806480310","https://openalex.org/W2806880187","https://openalex.org/W2884460600","https://openalex.org/W2911617386","https://openalex.org/W2938266529","https://openalex.org/W2956178895","https://openalex.org/W2959639774","https://openalex.org/W2959679536","https://openalex.org/W2962162344","https://openalex.org/W2962692288","https://openalex.org/W2962730651","https://openalex.org/W2963092440","https://openalex.org/W2963155035","https://openalex.org/W2963168844","https://openalex.org/W2963230974","https://openalex.org/W2963419579","https://openalex.org/W2963917969","https://openalex.org/W2974067445","https://openalex.org/W2978010459","https://openalex.org/W2998605827","https://openalex.org/W3009591208","https://openalex.org/W3016260756","https://openalex.org/W3032240740","https://openalex.org/W3034241236","https://openalex.org/W3080756971","https://openalex.org/W3082035691","https://openalex.org/W3089657753","https://openalex.org/W3096596051","https://openalex.org/W3100960056","https://openalex.org/W3103539074","https://openalex.org/W3117403110","https://openalex.org/W3120488063","https://openalex.org/W3122695357","https://openalex.org/W3124823188","https://openalex.org/W3128209522","https://openalex.org/W3128277684","https://openalex.org/W3128516613","https://openalex.org/W3128621833","https://openalex.org/W3128946893","https://openalex.org/W3133571493","https://openalex.org/W3137274787","https://openalex.org/W3139546544","https://openalex.org/W3141012605","https://openalex.org/W3156464906","https://openalex.org/W3178284600","https://openalex.org/W3199125932","https://openalex.org/W3200008227","https://openalex.org/W3201588177","https://openalex.org/W3205979965","https://openalex.org/W3206008575","https://openalex.org/W3206123231","https://openalex.org/W3206717387","https://openalex.org/W3206718318","https://openalex.org/W3207653457","https://openalex.org/W3207770555","https://openalex.org/W4224942959","https://openalex.org/W4224951303","https://openalex.org/W4280528148","https://openalex.org/W4312399808","https://openalex.org/W4362681492","https://openalex.org/W4376626287","https://openalex.org/W6754539604","https://openalex.org/W6767264202","https://openalex.org/W6787845523"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3,144,168,190],"the":[4,21,36,82,104,174,183,191],"facial":[5,55,72,75,91,113,127,153],"micro-expression":[6,30,169],"(FME)":[7],"generation":[8,41,66,135,175],"task,":[9,39],"which":[10,102],"has":[11],"potential":[12],"application":[13],"in":[14,28,35,137,159],"enlarging":[15],"digital":[16],"FME":[17,40,65,192],"datasets,":[18,180],"thereby":[19,181],"alleviating":[20],"lack":[22],"of":[23,71,85,107,185],"training":[24],"data":[25],"with":[26,89],"labels":[27],"existing":[29,45,179],"datasets.":[31],"Despite":[32],"obvious":[33],"progress":[34],"image":[37,46,139,160],"animation":[38,47,140,161],"remains":[42],"challenging":[43],"because":[44],"methods":[48],"can":[49,156],"hardly":[50],"encode":[51],"subtle":[52,112],"and":[53,119,134,163],"short-term":[54],"motion":[56,76,114,132],"information.":[57],"To":[58,116],"this":[59],"end,":[60],"we":[61,79,123,172],"present":[62],"a":[63],"facial-prior-guided":[64],"framework":[67],"that":[68,150],"takes":[69],"advantage":[70],"priors":[73],"for":[74],"generation.":[77,170],"Specifically,":[78],"first":[80],"estimate":[81],"geometric":[83],"locations":[84],"action":[86,187],"units":[87],"(AUs)":[88],"detected":[90],"landmarks.":[92],"We":[93],"further":[94],"calculate":[95],"an":[96],"adaptive":[97],"weighted":[98],"prior":[99,128,154],"(AWP)":[100],"map,":[101],"alleviates":[103],"estimation":[105],"error":[106],"AUs":[108],"while":[109],"efficiently":[110],"capturing":[111],"patterns.":[115],"achieve":[117],"smooth":[118],"realistic":[120],"synthesis":[121],"results,":[122],"use":[124,173],"our":[125,151],"proposed":[126,152],"module":[129,155],"to":[130,177],"guide":[131],"representation":[133],"modules":[136],"mainstream":[138],"frameworks.":[141],"Extensive":[142],"experiments":[143],"three":[145],"benchmark":[146],"datasets":[147],"consistently":[148],"show":[149],"be":[157],"adopted":[158],"frameworks":[162],"significantly":[164],"improve":[165],"their":[166],"performance":[167,184],"Moreover,":[171],"technique":[176],"enlarge":[178],"improving":[182],"general":[186],"recognition":[188,193],"backbones":[189],"task.":[194],"Our":[195],"code":[196],"is":[197],"available":[198],"at":[199],"https://github.com/sysu19351158/FPB-FOMM.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}
