{"id":"https://openalex.org/W2902888543","doi":"https://doi.org/10.1109/icpr.2018.8545555","title":"Multi-task Micro-expression Recognition Combining Deep and Handcrafted Features","display_name":"Multi-task Micro-expression Recognition Combining Deep and Handcrafted Features","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2902888543","doi":"https://doi.org/10.1109/icpr.2018.8545555","mag":"2902888543"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th 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/A5073986513","display_name":"Chunlong Hu","orcid":"https://orcid.org/0000-0001-8209-0019"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunlong Hu","raw_affiliation_strings":["School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007090302","display_name":"Dengbiao Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengbiao Jiang","raw_affiliation_strings":["School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001447573","display_name":"Haitao Zou","orcid":"https://orcid.org/0000-0002-5538-1475"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Zou","raw_affiliation_strings":["School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101680582","display_name":"Xin Zuo","orcid":"https://orcid.org/0000-0002-3978-6886"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zuo","raw_affiliation_strings":["School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049969247","display_name":"Yucheng Shu","orcid":"https://orcid.org/0000-0002-5737-9571"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yucheng Shu","raw_affiliation_strings":["School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"946","last_page":"951"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.996999979019165,"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":0.996999979019165,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.9948999881744385,"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":0.7871264219284058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7262504696846008},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6810992360115051},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6742913722991943},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6461530327796936},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.583358883857727},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5820860266685486},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5276217460632324},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5048068761825562},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.504477858543396},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5002777576446533},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.47786635160446167},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.43259352445602417},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.4285806715488434},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4233975112438202},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.41875380277633667},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.10776400566101074},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07283136248588562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7871264219284058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7262504696846008},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6810992360115051},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6742913722991943},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6461530327796936},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.583358883857727},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5820860266685486},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5276217460632324},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5048068761825562},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.504477858543396},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5002777576446533},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.47786635160446167},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.43259352445602417},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.4285806715488434},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4233975112438202},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.41875380277633667},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.10776400566101074},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07283136248588562},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8545555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W54565787","https://openalex.org/W565148957","https://openalex.org/W1217048403","https://openalex.org/W1753905863","https://openalex.org/W1999042468","https://openalex.org/W2006426145","https://openalex.org/W2044106642","https://openalex.org/W2044459166","https://openalex.org/W2046604164","https://openalex.org/W2051065934","https://openalex.org/W2059068649","https://openalex.org/W2061572659","https://openalex.org/W2074027098","https://openalex.org/W2093033615","https://openalex.org/W2096931164","https://openalex.org/W2105454289","https://openalex.org/W2128730107","https://openalex.org/W2135562430","https://openalex.org/W2145287260","https://openalex.org/W2154881938","https://openalex.org/W2155775419","https://openalex.org/W2155893237","https://openalex.org/W2237362194","https://openalex.org/W2241629992","https://openalex.org/W2263218431","https://openalex.org/W2342983306","https://openalex.org/W2395363464","https://openalex.org/W2526853616","https://openalex.org/W2527254703","https://openalex.org/W2538953432","https://openalex.org/W2553945526","https://openalex.org/W2560740363","https://openalex.org/W2586390329","https://openalex.org/W2613458966","https://openalex.org/W2971794874","https://openalex.org/W6616011953","https://openalex.org/W6663205994","https://openalex.org/W6683233725","https://openalex.org/W6692984378","https://openalex.org/W6712069749","https://openalex.org/W6729514007"],"related_works":["https://openalex.org/W2355913164","https://openalex.org/W4205986151","https://openalex.org/W2129936833","https://openalex.org/W2168968280","https://openalex.org/W2116055069","https://openalex.org/W2903783634","https://openalex.org/W4323520705","https://openalex.org/W2347993890","https://openalex.org/W2356663679","https://openalex.org/W2169777806"],"abstract_inverted_index":{"Micro-expression":[0],"recognition":[1,35,151],"is":[2,57,85,110,127],"a":[3,40,143],"challenging":[4],"problem":[5],"due":[6],"to":[7,43,75,112],"its":[8],"short":[9],"duration":[10],"and":[11,50,72,121],"low":[12],"intensity.":[13],"Most":[14],"previous":[15],"work":[16],"on":[17,87,95,129],"micro-expression":[18,45,97,133,150],"mainly":[19],"used":[20,132],"the":[21,77,88,96,101,114,118,139],"handcrafted":[22,48,55],"features.":[23,52,123],"Recently,":[24],"deep":[25,51,83],"learning":[26,104],"methods":[27],"were":[28],"also":[29],"employed":[30,54,82,111],"for":[31],"some":[32],"difficult":[33],"face":[34],"tasks.":[36],"This":[37],"paper":[38],"presents":[39],"new":[41],"framework":[42,105],"recognize":[44],"by":[46],"combining":[47],"features":[49],"The":[53,81,124,135],"feature":[56,84],"called":[58],"Local":[59],"Gabor":[60],"Binary":[61],"Pattern":[62],"from":[63,117],"Three":[64],"Orthogonal":[65],"Panels":[66],"(LGBP-TOP)":[67],"feature.":[68],"LGBP-TOP":[69,120],"combines":[70],"spatial":[71],"temporal":[73],"analysis":[74],"encode":[76],"local":[78],"facial":[79],"movements.":[80],"based":[86],"Convolutional":[89],"Neural":[90],"Network":[91],"(CNN)":[92],"model":[93],"trained":[94],"dataset.":[98],"And":[99],"then,":[100],"sparse":[102],"multi-task":[103],"with":[106,147],"adaptive":[107],"penalty":[108],"term":[109],"remove":[113],"irrelevant":[115],"information":[116],"combined":[119],"CNN":[122],"experimental":[125],"evaluation":[126],"performed":[128],"two":[130],"widely":[131],"databases.":[134],"results":[136],"demonstrate":[137],"that":[138],"proposed":[140],"approach":[141],"achieves":[142],"competitive":[144],"performance":[145],"compared":[146],"other":[148],"popular":[149],"methods.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
