{"id":"https://openalex.org/W3189210185","doi":"https://doi.org/10.24963/ijcai.2021/164","title":"Micro-Expression Recognition Enhanced by Macro-Expression from Spatial-Temporal Domain","display_name":"Micro-Expression Recognition Enhanced by Macro-Expression from Spatial-Temporal Domain","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3189210185","doi":"https://doi.org/10.24963/ijcai.2021/164","mag":"3189210185"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/164","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/164","pdf_url":"https://www.ijcai.org/proceedings/2021/0164.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2021/0164.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101591578","display_name":"Bin Xia","orcid":"https://orcid.org/0000-0001-6529-5434"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Xia","raw_affiliation_strings":["Key Lab of Computing and Communication Software of Anhui Province, School of Computer Science and Technology, University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Computing and Communication Software of Anhui Province, School of Computer Science and Technology, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077046519","display_name":"Shangfei Wang","orcid":"https://orcid.org/0000-0003-1164-9895"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210144102","display_name":"Wuhu Hit Robot Technology Research Institute","ror":"https://ror.org/049w4dp92","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144102"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangfei Wang","raw_affiliation_strings":["Anhui Robot Technology Standard Innovation Base","Key Lab of Computing and Communication Software of Anhui Province, School of Computer Science and Technology, University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Robot Technology Standard Innovation Base","institution_ids":["https://openalex.org/I4210144102"]},{"raw_affiliation_string":"Key Lab of Computing and Communication Software of Anhui Province, School of Computer Science and Technology, University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7344,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.95236647,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1186","last_page":"1193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998999834060669,"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/T10057","display_name":"Face and Expression Recognition","score":0.9936000108718872,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9865999817848206,"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":0.7786202430725098},{"id":"https://openalex.org/keywords/macro","display_name":"Macro","score":0.6527889370918274},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.6502423882484436},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6464547514915466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5757589936256409},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.5421662330627441},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5402419567108154},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48721450567245483},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.47717705368995667},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.4221479594707489},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36796513199806213},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.20493870973587036}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7786202430725098},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.6527889370918274},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.6502423882484436},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6464547514915466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5757589936256409},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.5421662330627441},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5402419567108154},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48721450567245483},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.47717705368995667},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.4221479594707489},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36796513199806213},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.20493870973587036},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2021/164","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/164","pdf_url":"https://www.ijcai.org/proceedings/2021/0164.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2021/164","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/164","pdf_url":"https://www.ijcai.org/proceedings/2021/0164.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3189210185.pdf","grobid_xml":"https://content.openalex.org/works/W3189210185.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1809872410","https://openalex.org/W2006426145","https://openalex.org/W2044106642","https://openalex.org/W2103943262","https://openalex.org/W2139916508","https://openalex.org/W2156489769","https://openalex.org/W2161634108","https://openalex.org/W2237362194","https://openalex.org/W2263218431","https://openalex.org/W2269299223","https://openalex.org/W2426188534","https://openalex.org/W2478411578","https://openalex.org/W2726381870","https://openalex.org/W2805502563","https://openalex.org/W2958471948","https://openalex.org/W2959639774","https://openalex.org/W2959679536","https://openalex.org/W2962162344","https://openalex.org/W2963230974","https://openalex.org/W2963703618","https://openalex.org/W2963826681","https://openalex.org/W2970981431","https://openalex.org/W3017006601","https://openalex.org/W3092753574","https://openalex.org/W3092956019","https://openalex.org/W3092993976","https://openalex.org/W3100951556","https://openalex.org/W3103539074","https://openalex.org/W3106342476","https://openalex.org/W4287812705"],"related_works":["https://openalex.org/W2596763562","https://openalex.org/W2964218010","https://openalex.org/W2808862658","https://openalex.org/W4205986151","https://openalex.org/W2355913164","https://openalex.org/W2162992774","https://openalex.org/W1153638794","https://openalex.org/W2168968280","https://openalex.org/W2116055069","https://openalex.org/W2901126000"],"abstract_inverted_index":{"Facial":[0],"micro-expression":[1,22,34,37,58,68,93],"recognition":[2],"has":[3],"attracted":[4],"much":[5],"attention":[6],"due":[7],"to":[8,11,29,84,106,121,138,142,147],"its":[9],"objectiveness":[10],"reveal":[12],"the":[13,20,86,108,123,140,151,163,166],"true":[14],"emotion":[15],"of":[16,110,165],"a":[17,26,31,53,103],"person.":[18],"However,":[19],"limited":[21],"datasets":[23],"have":[24],"posed":[25],"great":[27],"challenge":[28],"train":[30],"high":[32],"performance":[33],"classifier.":[35],"Since":[36],"and":[38,46,70,76,88,95,112,131],"macro-expression":[39,71,96],"share":[40],"some":[41],"similarities":[42],"in":[43,154],"both":[44],"spatial":[45,87,99],"temporal":[47,89,115,127],"facial":[48],"behavior":[49],"patterns,":[50],"we":[51,61,79,101,117,134],"propose":[52,135],"macro-to-micro":[54],"transformation":[55],"framework":[56],"for":[57,126],"recognition.":[59],"Specifically,":[60],"first":[62],"pretrain":[63],"two-stream":[64],"baseline":[65],"model":[66],"from":[67,92,129,150],"data":[69,72,94],"respectively,":[73],"named":[74],"MiNet":[75,111,141],"MaNet.":[77,113],"Then,":[78],"introduce":[80,102,118],"two":[81],"auxiliary":[82],"tasks":[83],"align":[85,107],"features":[90,109,128,146],"learned":[91],"data.":[97],"In":[98,114],"domain,":[100,116],"domain":[104],"discriminator":[105],"relation":[119,125],"classifier":[120],"predict":[122],"correct":[124],"MaNet":[130],"MiNet.":[132],"Finally,":[133],"contrastive":[136],"loss":[137],"encourage":[139],"give":[143],"closely":[144],"aligned":[145],"all":[148],"entries":[149],"same":[152],"class":[153],"each":[155],"instance.":[156],"Experiments":[157],"on":[158],"three":[159],"benchmark":[160],"databases":[161],"demonstrate":[162],"superiority":[164],"proposed":[167],"method.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
