{"id":"https://openalex.org/W4285143708","doi":"https://doi.org/10.1109/mmul.2022.3187695","title":"Dual Expression Fusion: A Universal Microexpression Recognition Framework","display_name":"Dual Expression Fusion: A Universal Microexpression Recognition Framework","publication_year":2022,"publication_date":"2022-07-07","ids":{"openalex":"https://openalex.org/W4285143708","doi":"https://doi.org/10.1109/mmul.2022.3187695"},"language":"en","primary_location":{"id":"doi:10.1109/mmul.2022.3187695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmul.2022.3187695","pdf_url":null,"source":{"id":"https://openalex.org/S72873717","display_name":"IEEE Multimedia","issn_l":"1070-986X","issn":["1070-986X","1941-0166"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 MultiMedia","raw_type":"journal-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/A5088062069","display_name":"Xiao Sun","orcid":"https://orcid.org/0000-0001-9750-7032"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiao Sun","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-9750-7032","affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077739850","display_name":"Junjie Lang","orcid":"https://orcid.org/0000-0002-6988-3142"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Lang","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-6988-3142","affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053041234","display_name":"Shixin Zheng","orcid":"https://orcid.org/0000-0003-0894-4826"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shixing Zheng","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-0894-4826","affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031511677","display_name":"Yating Huang","orcid":"https://orcid.org/0000-0002-7822-1407"},"institutions":[{"id":"https://openalex.org/I197869895","display_name":"Anhui Medical University","ror":"https://ror.org/03xb04968","country_code":"CN","type":"education","lineage":["https://openalex.org/I197869895"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yating Huang","raw_affiliation_strings":["Anhui Medical University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-7822-1407","affiliations":[{"raw_affiliation_string":"Anhui Medical University, Hefei, China","institution_ids":["https://openalex.org/I197869895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-3094-7735","affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5088062069"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":1.153,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78663268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"29","issue":"4","first_page":"48","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9983999729156494,"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":0.9983999729156494,"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/T11448","display_name":"Face recognition and analysis","score":0.996999979019165,"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/T10860","display_name":"Speech and Audio Processing","score":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.8678172826766968},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6899137496948242},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6064920425415039},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5289825201034546},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5160081386566162},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5007452964782715},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4795341491699219},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4686198830604553},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4484635591506958},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.44247934222221375},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3219299018383026}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8678172826766968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6899137496948242},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6064920425415039},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5289825201034546},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5160081386566162},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5007452964782715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4795341491699219},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4686198830604553},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4484635591506958},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.44247934222221375},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3219299018383026},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmul.2022.3187695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmul.2022.3187695","pdf_url":null,"source":{"id":"https://openalex.org/S72873717","display_name":"IEEE Multimedia","issn_l":"1070-986X","issn":["1070-986X","1941-0166"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 MultiMedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G8571511556","display_name":null,"funder_award_id":"61976078","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1969736828","https://openalex.org/W2024868105","https://openalex.org/W2059588448","https://openalex.org/W2108333036","https://openalex.org/W2194775991","https://openalex.org/W2217426128","https://openalex.org/W2606933083","https://openalex.org/W2911617386","https://openalex.org/W2962473357","https://openalex.org/W2963446712","https://openalex.org/W2982330808","https://openalex.org/W3005807444","https://openalex.org/W3092956019","https://openalex.org/W3092993976","https://openalex.org/W3093810559","https://openalex.org/W3125944047","https://openalex.org/W3139546544","https://openalex.org/W3152031184","https://openalex.org/W6740164494","https://openalex.org/W6743446608"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2318112981","https://openalex.org/W4312417841","https://openalex.org/W4225147082","https://openalex.org/W2985118265"],"abstract_inverted_index":{"Microexpression":[0],"recognition":[1,25,36],"from":[2,47,94],"short":[3],"video":[4,128],"sequences":[5],"is":[6],"a":[7,19,48,63,85,104],"challenging":[8],"problem":[9],"in":[10,143],"computer":[11],"vision":[12],"and":[13,108],"multimedia":[14],"research.":[15],"This":[16,34],"article":[17],"proposes":[18],"dual":[20],"expression":[21],"fusion":[22],"(DEF)":[23],"microexpression":[24,35,71,146],"framework,":[26,134],"which":[27],"performs":[28,114],"better":[29,79],"on":[30,73,131],"more":[31,90],"general":[32],"videos.":[33],"framework":[37,113],"uses":[38,84],"deep":[39,105],"learning":[40],"models":[41],"to":[42,88],"extract":[43],"the":[44,54,70,74,97,109,112,125,132,144],"facial":[45,99],"features":[46,100],"single":[49],"frame":[50],"while":[51],"directly":[52],"predicting":[53],"action":[55],"units":[56],"(AUs)":[57],"states":[58],"of":[59,127,154],"that":[60],"frame.":[61],"Then,":[62],"long":[64],"short-term":[65],"memory":[66],"network":[67,87,107],"(LSTM)":[68],"predicts":[69],"category":[72],"sequence":[75],"features.":[76],"To":[77],"perform":[78],"across":[80],"different":[81],"datasets,":[82],"DEF":[83],"capsule":[86,110],"learn":[89],"subtle":[91],"structural":[92],"information":[93],"faces.":[95],"Since":[96],"effective":[98],"are":[101],"extracted":[102],"by":[103],"convolutional":[106],"network,":[111],"well":[115],"through":[116],"feature":[117],"fusion.":[118],"It":[119],"has":[120],"relatively":[121],"low":[122],"requirements":[123],"for":[124],"content":[126],"data.":[129],"Based":[130],"proposed":[133],"we":[135],"won":[136],"first":[137],"place":[138],"among":[139],"12":[140],"qualified":[141],"teams":[142],"ICIP2020":[145],"Recognition":[147],"Challenge":[148],"with":[149],"an":[150],"average":[151],"F1":[152],"score":[153],"0.6297.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}