{"id":"https://openalex.org/W4400527886","doi":"https://doi.org/10.1109/fg59268.2024.10581902","title":"Expression-Aware Masking and Progressive Decoupling for Cross-Database Facial Expression Recognition","display_name":"Expression-Aware Masking and Progressive Decoupling for Cross-Database Facial Expression Recognition","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4400527886","doi":"https://doi.org/10.1109/fg59268.2024.10581902"},"language":"en","primary_location":{"id":"doi:10.1109/fg59268.2024.10581902","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fg59268.2024.10581902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)","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":null,"display_name":"Tao Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhong","raw_affiliation_strings":["Computer Vision Institute, School of Computer Science &#x0026; Software Engineering, Shenzhen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Institute, School of Computer Science &#x0026; Software Engineering, Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111254291","display_name":"Xiaole Xian","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaole Xian","raw_affiliation_strings":["Computer Vision Institute, School of Computer Science &#x0026; Software Engineering, Shenzhen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Institute, School of Computer Science &#x0026; Software Engineering, Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380099","display_name":"Zihan Wang","orcid":"https://orcid.org/0000-0001-9133-9146"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihan Wang","raw_affiliation_strings":["Computer Vision Institute, School of Computer Science &#x0026; Software Engineering, Shenzhen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Institute, School of Computer Science &#x0026; Software Engineering, Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102747855","display_name":"Weicheng Xie","orcid":"https://orcid.org/0000-0001-8946-7472"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weicheng Xie","raw_affiliation_strings":["Computer Vision Institute, School of Computer Science &#x0026; Software Engineering, Shenzhen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Institute, School of Computer Science &#x0026; Software Engineering, Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019313200","display_name":"Linlin Shen","orcid":"https://orcid.org/0000-0003-1420-0815"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Shen","raw_affiliation_strings":["Computer Vision Institute, School of Computer Science &#x0026; Software Engineering, Shenzhen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Institute, School of Computer Science &#x0026; Software Engineering, Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.7301,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67596703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.8385999798774719,"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":0.8385999798774719,"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":0.7699999809265137,"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":0.6879539489746094},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.6176750063896179},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5753410458564758},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5652499794960022},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5550165176391602},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.552322506904602},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.44263461232185364},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4268273413181305},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.3770699203014374},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36542728543281555},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.35295069217681885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3223963975906372},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1039896309375763},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.050551652908325195}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6879539489746094},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.6176750063896179},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5753410458564758},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5652499794960022},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5550165176391602},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.552322506904602},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.44263461232185364},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4268273413181305},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3770699203014374},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36542728543281555},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.35295069217681885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3223963975906372},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1039896309375763},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.050551652908325195},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fg59268.2024.10581902","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fg59268.2024.10581902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)","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":0,"referenced_works":[],"related_works":["https://openalex.org/W4205986151","https://openalex.org/W2355913164","https://openalex.org/W1153638794","https://openalex.org/W2168968280","https://openalex.org/W2116055069","https://openalex.org/W2162992774","https://openalex.org/W4323520705","https://openalex.org/W2356663679","https://openalex.org/W2169777806","https://openalex.org/W3027190010"],"abstract_inverted_index":{"Cross-database":[0],"facial":[1],"expression":[2,44,53,80,120,136,206],"recognition":[3],"(CD-FER)":[4],"has":[5],"been":[6],"widely":[7],"studied":[8],"due":[9],"to":[10,36,41,74,77,114,125,178,185,193],"its":[11],"promising":[12],"applicability":[13],"in":[14,25,46,101,112,145,155,169,190,196,220],"real-life":[15],"situations,":[16],"while":[17],"the":[18,22,43,68,79,92,116,146,150,156,166,187,215,218],"generalization":[19,224],"performance":[20,168],"is":[21],"main":[23],"concern":[24],"this":[26,105],"task.":[27],"For":[28,58,133],"improving":[29],"cross-database":[30,223],"generalization,":[31],"current":[32,60,140],"works":[33],"frequently":[34],"resort":[35],"masked":[37,72,84],"auto":[38],"encoder":[39],"(MAE)":[40],"learn":[42,78],"representation":[45,102],"an":[47,109],"unsupervised":[48],"manner,":[49],"and":[50,54,66,137,201],"disentanglement":[51,134,167,189],"of":[52,70,94,119,135,152,217,222],"domain":[55,138],"features.":[56],"(i)":[57],"MAE,":[59],"algorithms":[61,141],"mainly":[62,144],"employ":[63],"random":[64],"masking,":[65],"leverage":[67],"reconstruction":[69],"these":[71,83,153,180],"regions":[73,85,129],"enable":[75],"networks":[76],"representation.":[81],"However,":[82,149],"are":[86,97,159],"expression-irrelevant,":[87],"can":[88,212],"not":[89,98],"well":[90],"reflect":[91],"characteristics":[93],"expression,":[95],"thus":[96],"efficient":[99],"enough":[100],"learning.":[103],"To":[104],"end,":[106],"we":[107,173],"propose":[108,174],"expression-aware":[110,128],"masking":[111],"MAE":[113,124],"improve":[115],"learning":[117],"efficiency":[118],"representation,":[121],"by":[122,183],"guiding":[123],"mask":[126],"out":[127],"during":[130],"training.":[131],"(ii)":[132],"features,":[139],"realize":[142],"it":[143],"deep":[147,170,197],"layers.":[148,171,198],"coupling":[151],"features":[154,181],"shallow":[157,191],"layers":[158,192],"rarely":[160],"concerned,":[161],"which":[162],"may":[163],"largely":[164,213],"affect":[165],"Thus,":[172],"a":[175],"progressive":[176],"decoupler":[177],"disentangle":[179],"block":[182],"block,":[184],"use":[186],"feature":[188],"facilitate":[194],"that":[195,209],"Extensive":[199],"quantitative":[200],"qualitative":[202],"results":[203],"on":[204],"multiple":[205],"datasets":[207],"show":[208],"our":[210],"method":[211],"outperform":[214],"state":[216],"arts":[219],"terms":[221],"performance.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
