{"id":"https://openalex.org/W4415708022","doi":"https://doi.org/10.1109/icme59968.2025.11209332","title":"VFFG-CL: Virtual Fusion Feature Generation with Curriculum Learning for Missing-Modality Emotion Recognition","display_name":"VFFG-CL: Virtual Fusion Feature Generation with Curriculum Learning for Missing-Modality Emotion Recognition","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708022","doi":"https://doi.org/10.1109/icme59968.2025.11209332"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-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/A5006087894","display_name":"Xiaolan Tang","orcid":"https://orcid.org/0000-0002-3492-5795"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]},{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaolan Tang","raw_affiliation_strings":["Kunming University of Science and Technology Key Laboratory of Artificial Intelligence in Yunnan Province,Faculty of Information Engineering and Automation,China"],"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology Key Laboratory of Artificial Intelligence in Yunnan Province,Faculty of Information Engineering and Automation,China","institution_ids":["https://openalex.org/I10660446","https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084440288","display_name":"Yan Xiang","orcid":"https://orcid.org/0000-0002-6475-638X"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]},{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Xiang","raw_affiliation_strings":["Kunming University of Science and Technology Key Laboratory of Artificial Intelligence in Yunnan Province,Faculty of Information Engineering and Automation,China"],"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology Key Laboratory of Artificial Intelligence in Yunnan Province,Faculty of Information Engineering and Automation,China","institution_ids":["https://openalex.org/I10660446","https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100619287","display_name":"Zhengtao Yu","orcid":"https://orcid.org/0000-0002-4012-461X"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]},{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengtao Yu","raw_affiliation_strings":["Kunming University of Science and Technology Key Laboratory of Artificial Intelligence in Yunnan Province,Faculty of Information Engineering and Automation,China"],"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology Key Laboratory of Artificial Intelligence in Yunnan Province,Faculty of Information Engineering and Automation,China","institution_ids":["https://openalex.org/I10660446","https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102000309","display_name":"Yuxin Huang","orcid":"https://orcid.org/0000-0003-4212-0644"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]},{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxin Huang","raw_affiliation_strings":["Kunming University of Science and Technology Key Laboratory of Artificial Intelligence in Yunnan Province,Faculty of Information Engineering and Automation,China"],"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology Key Laboratory of Artificial Intelligence in Yunnan Province,Faculty of Information Engineering and Automation,China","institution_ids":["https://openalex.org/I10660446","https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006087894"],"corresponding_institution_ids":["https://openalex.org/I10660446","https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32146242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.989300012588501,"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":0.989300012588501,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.002300000051036477,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.0010999999940395355,"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/feature","display_name":"Feature (linguistics)","score":0.569100022315979},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5480999946594238},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5145000219345093},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5037000179290771},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4077000021934509},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3840999901294708},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.3828999996185303},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.3763999938964844},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.3741999864578247}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7626000046730042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6771000027656555},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.569100022315979},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5480999946594238},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5145000219345093},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5037000179290771},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43950000405311584},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4077000021934509},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3840999901294708},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3828999996185303},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3763999938964844},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3741999864578247},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.36910000443458557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3637000024318695},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.35659998655319214},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.33869999647140503},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3343000113964081},{"id":"https://openalex.org/C2780660688","wikidata":"https://www.wikidata.org/wiki/Q25052564","display_name":"Multimodal learning","level":2,"score":0.302700012922287},{"id":"https://openalex.org/C47177190","wikidata":"https://www.wikidata.org/wiki/Q207137","display_name":"Curriculum","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2953999936580658},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2840000092983246},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2612000107765198},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2590000033378601}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":18,"referenced_works":["https://openalex.org/W2078019730","https://openalex.org/W2146334809","https://openalex.org/W2296073425","https://openalex.org/W2342475039","https://openalex.org/W2560185252","https://openalex.org/W2740550900","https://openalex.org/W2741295496","https://openalex.org/W2809410879","https://openalex.org/W2962931510","https://openalex.org/W2965487497","https://openalex.org/W3034641760","https://openalex.org/W3042831859","https://openalex.org/W3098802639","https://openalex.org/W3175825020","https://openalex.org/W4372260527","https://openalex.org/W4390872007","https://openalex.org/W4392903647","https://openalex.org/W4393147709"],"related_works":[],"abstract_inverted_index":{"Multimodal":[0],"Emotion":[1],"Recognition":[2],"aims":[3],"to":[4,37,86,101,122,127],"identify":[5],"emotions":[6],"by":[7,72],"analyzing":[8],"data":[9],"from":[10,112],"multiple":[11],"modalities.":[12,114],"However,":[13],"real-world":[14],"scenarios":[15],"often":[16],"involve":[17],"missing":[18,63,92,130,147],"modalities,":[19,64],"which":[20],"significantly":[21],"degrade":[22],"recognition":[23],"performance.":[24],"Existing":[25],"methods":[26,144],"neglect":[27],"the":[28,107,125],"interaction":[29],"between":[30],"reconstructed":[31],"and":[32,35,94,136],"available":[33],"modalities":[34],"fail":[36],"address":[38],"varying":[39],"degrees":[40],"of":[41,60],"modality":[42,131],"missingness.":[43],"To":[44],"tackle":[45],"these":[46,103],"challenges,":[47],"we":[48,81],"propose":[49],"a":[50,83,96,116],"Virtual":[51],"Fusion":[52],"Feature":[53],"Generation":[54],"model":[55,126],"with":[56,106],"Curriculum":[57],"Learning.":[58],"Instead":[59],"reconstructing":[61],"individual":[62],"our":[65,140],"method":[66],"directly":[67],"generates":[68],"virtual":[69,88,104],"fusion":[70,89],"features":[71,77,90,105,110],"leveraging":[73],"real":[74,108],"fused":[75,109],"multimodal":[76],"as":[78],"guidance.":[79],"Specifically,":[80],"design":[82],"residual":[84],"autoencoder":[85],"generate":[87],"under":[91,145],"conditions":[93],"introduce":[95],"KL-based":[97],"Similarity":[98],"Alignment":[99],"mechanism":[100],"align":[102],"extracted":[111],"complete":[113],"Additionally,":[115],"curriculum":[117],"learning":[118],"strategy":[119],"is":[120],"applied":[121],"gradually":[123],"adapt":[124],"increasingly":[128],"challenging":[129],"scenarios.":[132],"Experiments":[133],"on":[134],"IEMOCAP":[135],"MSP-IMPROV":[137],"demonstrate":[138],"that":[139],"approach":[141],"outperforms":[142],"state-of-the-art":[143],"various":[146],"conditions.":[148]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-30T00:00:00"}
