{"id":"https://openalex.org/W4392693686","doi":"https://doi.org/10.1109/tmm.2024.3374573","title":"Visual-Textual Attribute Learning for Class-Incremental Facial Expression Recognition","display_name":"Visual-Textual Attribute Learning for Class-Incremental Facial Expression Recognition","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392693686","doi":"https://doi.org/10.1109/tmm.2024.3374573"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3374573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3374573","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/10189044/1/Xue_Visual-Textual_Attribute_Learning_for_Class-Incremental_Facial_Expression_Recognition.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111099696","display_name":"Yuanling Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanling Lv","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, and the Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, and the Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101112279","display_name":"Guangyu Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyu Huang","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, and the Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0009-0001-4451-8050","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, and the Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395059","display_name":"Yan Yan","orcid":"https://orcid.org/0000-0002-3674-7160"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Yan","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, and the Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-3674-7160","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, and the Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079361172","display_name":"Jing\u2010Hao Xue","orcid":"https://orcid.org/0000-0003-1174-610X"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jing-Hao Xue","raw_affiliation_strings":["Department of Statistical Science, University College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0003-1174-610X","affiliations":[{"raw_affiliation_string":"Department of Statistical Science, University College London, London, U.K","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073464445","display_name":"Si Chen","orcid":"https://orcid.org/0000-0002-5631-7942"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si Chen","raw_affiliation_strings":["School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-5631-7942","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044594971","display_name":"Hanzi Wang","orcid":"https://orcid.org/0000-0002-6913-9786"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanzi Wang","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, and the Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-6913-9786","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, and the Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4859,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.815846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"26","issue":null,"first_page":"8038","last_page":"8051"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9983999729156494,"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/T10057","display_name":"Face and Expression Recognition","score":0.9983999729156494,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9951000213623047,"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":0.9939000010490417,"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":0.848751962184906},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.6075894832611084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6023201942443848},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5899083018302917},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.4927549660205841},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47819995880126953},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.45140373706817627},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3564344048500061},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32251662015914917}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.848751962184906},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.6075894832611084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6023201942443848},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5899083018302917},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.4927549660205841},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47819995880126953},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.45140373706817627},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3564344048500061},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32251662015914917}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmm.2024.3374573","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3374573","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10189044","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10189044/","pdf_url":"https://discovery.ucl.ac.uk/10189044/1/Xue_Visual-Textual_Attribute_Learning_for_Class-Incremental_Facial_Expression_Recognition.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Multimedia (2024) (In press).","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10189044","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10189044/","pdf_url":"https://discovery.ucl.ac.uk/10189044/1/Xue_Visual-Textual_Attribute_Learning_for_Class-Incremental_Facial_Expression_Recognition.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Multimedia (2024) (In press).","raw_type":"Article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G2022121445","display_name":null,"funder_award_id":"U21A20514","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4782616423","display_name":null,"funder_award_id":"62372388","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8055606312","display_name":"\u57fa\u4e8e\u9c81\u68d2\u6a21\u578b\u62df\u5408\u548c\u6df1\u5ea6\u5b66\u4e60\u7684\u4eba\u8138\u5c5e\u6027\u8bc6\u522b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62071404","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":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392693686.pdf","grobid_xml":"https://content.openalex.org/works/W4392693686.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1980331490","https://openalex.org/W2003238582","https://openalex.org/W2035372623","https://openalex.org/W2052293776","https://openalex.org/W2123024445","https://openalex.org/W2131140847","https://openalex.org/W2156406284","https://openalex.org/W2161634108","https://openalex.org/W2250539671","https://openalex.org/W2436394355","https://openalex.org/W2560647685","https://openalex.org/W2724892165","https://openalex.org/W2738672149","https://openalex.org/W2786446225","https://openalex.org/W2934832377","https://openalex.org/W2948734064","https://openalex.org/W2962692288","https://openalex.org/W2964189064","https://openalex.org/W2986385672","https://openalex.org/W2998061714","https://openalex.org/W2998124504","https://openalex.org/W3003720578","https://openalex.org/W3035336958","https://openalex.org/W3035575271","https://openalex.org/W3035655772","https://openalex.org/W3092826430","https://openalex.org/W3093232475","https://openalex.org/W3094502228","https://openalex.org/W3098511564","https://openalex.org/W3107810305","https://openalex.org/W3126756316","https://openalex.org/W3157413304","https://openalex.org/W3175270254","https://openalex.org/W3178221902","https://openalex.org/W3180392831","https://openalex.org/W3184571633","https://openalex.org/W3195286673","https://openalex.org/W3207854039","https://openalex.org/W3215476595","https://openalex.org/W4206637691","https://openalex.org/W4220774645","https://openalex.org/W4221167776","https://openalex.org/W4283827158","https://openalex.org/W4293214229","https://openalex.org/W4307464646","https://openalex.org/W4312309344","https://openalex.org/W4312578829","https://openalex.org/W4312791158","https://openalex.org/W4312823769","https://openalex.org/W4313028293","https://openalex.org/W4379409382","https://openalex.org/W4386123921","https://openalex.org/W4390871994","https://openalex.org/W6726497184","https://openalex.org/W6726873649","https://openalex.org/W6838571599","https://openalex.org/W6838836183"],"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":{"In":[0,144],"this":[1,68],"paper,":[2],"we":[3,48,70],"study":[4],"facial":[5,247],"expression":[6,248],"recognition":[7],"(FER)":[8],"in":[9,63],"the":[10,17,37,107,125,161,175,182,201,207,210,219,235,251],"class-incremental":[11,94,261],"learning":[12,30,76],"(CIL)":[13],"setting,":[14],"which":[15,213],"defines":[16],"classification":[18],"of":[19,45,65,81,133,184,203,218,237,253],"well-studied":[20],"and":[21,57,87,102,120,130,135,155,165,196,245],"easily-accessible":[22],"basic":[23,46,50],"expressions":[24,33,41,51,60,104,122,137],"as":[25,52],"an":[26],"initial":[27],"task":[28],"while":[29],"new":[31,136,197],"compound":[32,40,59,232],"gradually.":[34],"Motivated":[35],"by":[36,105,123],"fact":[38],"that":[39],"are":[42,61,167,187,192],"meaningful":[43],"combinations":[44],"expressions,":[47,222,233],"treat":[49],"attributes":[53,129,186,191],"(i.e.,":[54],"semantic":[55],"descriptors),":[56],"thus":[58],"represented":[62],"terms":[64],"attributes.":[66],"To":[67],"end,":[69],"propose":[71],"a":[72,82,88,140,146,171],"novel":[73],"visual-textual":[74,147],"attribute":[75,112],"network":[77],"(VTA-Net),":[78],"mainly":[79],"consisting":[80],"textual-guided":[83],"visual":[84,100,111,185,190,229],"module":[85,91],"(TVM)":[86],"textual":[89,108,118,128,141,211],"compositional":[90,142],"(TCM),":[92],"for":[93,260],"FER.":[95,262],"Specifically,":[96],"TVM":[97,154,164],"extracts":[98],"textual-aware":[99],"features":[101,119],"classifies":[103],"incorporating":[106],"information":[109],"into":[110],"learning.":[113,159],"Meanwhile,":[114],"TCM":[115,156,166],"generates":[116],"visual-aware":[117],"predicts":[121],"exploiting":[124],"dependency":[126],"between":[127,221,231],"category":[131],"names":[132],"old":[134,195],"based":[138],"on":[139,242],"graph.":[143],"particular,":[145],"distillation":[148],"loss":[149],"is":[150],"introduced":[151],"to":[152,169,226],"calibrate":[153],"during":[157],"incremental":[158,180],"Finally,":[160],"outputs":[162],"from":[163],"fused":[168],"make":[170],"final":[172],"prediction.":[173],"On":[174,206],"one":[176],"hand,":[177,209],"at":[178],"each":[179],"task,":[181],"representations":[183],"enhanced":[188],"since":[189],"shared":[193],"across":[194],"expressions.":[198],"This":[199],"increases":[200],"stability":[202],"our":[204,224,238,254],"method.":[205,239],"other":[208],"modality,":[212],"involves":[214],"rich":[215],"prior":[216],"knowledge":[217],"relevance":[220],"facilitates":[223],"model":[225],"identify":[227],"subtle":[228],"distinctions":[230],"improving":[234],"plasticity":[236],"Experimental":[240],"results":[241],"both":[243],"in-the-lab":[244],"in-the-wild":[246],"databases":[249],"show":[250],"superiority":[252],"method":[255],"against":[256],"several":[257],"state-of-the-art":[258],"methods":[259]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
