{"id":"https://openalex.org/W4402981866","doi":"https://doi.org/10.1109/icme57554.2024.10688346","title":"K-Face Net: A Two-Stage Framework for Balanced Feature Space in Facial Expression Recognition","display_name":"K-Face Net: A Two-Stage Framework for Balanced Feature Space in Facial Expression Recognition","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402981866","doi":"https://doi.org/10.1109/icme57554.2024.10688346"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10688346","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10688346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","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/A5107958595","display_name":"Zhongzhu Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongzhu Yang","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Computer Science and Engineering,Cheng Du,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Computer Science and Engineering,Cheng Du,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101809829","display_name":"Liang Luo","orcid":"https://orcid.org/0000-0003-4222-7986"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Luo","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Computer Science and Engineering,Cheng Du,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Computer Science and Engineering,Cheng Du,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107910360","display_name":"Yu Gu","orcid":"https://orcid.org/0009-0001-1576-8739"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Gu","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Computer Science and Engineering,Cheng Du,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Computer Science and Engineering,Cheng Du,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071943346","display_name":"Fuji Ren","orcid":"https://orcid.org/0000-0003-4860-9184"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuji Ren","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Computer Science and Engineering,Cheng Du,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Computer Science and Engineering,Cheng Du,China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.7888,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77805493,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"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/T10057","display_name":"Face and Expression Recognition","score":0.9735000133514404,"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":0.9735000133514404,"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/T11448","display_name":"Face recognition and analysis","score":0.9581000208854675,"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":0.9253000020980835,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6779651641845703},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6051395535469055},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5808380842208862},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5788711309432983},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5704860687255859},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5205010771751404},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.5079346299171448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49704936146736145},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.46042773127555847},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.45526057481765747},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4037705063819885},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10999378561973572},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.044854313135147095}],"concepts":[{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6779651641845703},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6051395535469055},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5808380842208862},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5788711309432983},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5704860687255859},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5205010771751404},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.5079346299171448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49704936146736145},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.46042773127555847},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.45526057481765747},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4037705063819885},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10999378561973572},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.044854313135147095},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10688346","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10688346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1669230375","https://openalex.org/W2041616772","https://openalex.org/W2194775991","https://openalex.org/W2481681431","https://openalex.org/W2745497104","https://openalex.org/W2963691377","https://openalex.org/W2974043081","https://openalex.org/W3003720578","https://openalex.org/W3035336958","https://openalex.org/W3118405827","https://openalex.org/W3179103990","https://openalex.org/W3195286673","https://openalex.org/W4235029207","https://openalex.org/W4304086144","https://openalex.org/W4312465353","https://openalex.org/W4312823769","https://openalex.org/W6631190155","https://openalex.org/W6741276872","https://openalex.org/W6768920361","https://openalex.org/W6776700526","https://openalex.org/W6790859549","https://openalex.org/W6844194202"],"related_works":["https://openalex.org/W2392243736","https://openalex.org/W86652014","https://openalex.org/W3129895999","https://openalex.org/W2328518092","https://openalex.org/W3101249758","https://openalex.org/W2382079200","https://openalex.org/W2642127892","https://openalex.org/W2098693229","https://openalex.org/W2132337154","https://openalex.org/W2384651879"],"abstract_inverted_index":{"Addressing":[0],"the":[1,53,58,61,119],"challenge":[2],"in":[3,95,105,117,125],"Facial":[4],"Expression":[5],"Recognition":[6],"(FER)":[7],"of":[8,55,121],"majority":[9],"expressions":[10,124],"like":[11],"happiness":[12],"and":[13,60,63,76,98,108],"neutral":[14],"overshadowing":[15],"minority":[16,96],"ones,":[17],"we":[18],"introduce":[19],"K-positive":[20,42],"Face":[21],"Net":[22,38,91,112],"(K-Face":[23],"Net),":[24],"a":[25,40,114],"two-stage":[26],"framework":[27],"enhancing":[28,118],"diverse":[29],"expression":[30],"recognition.":[31,85],"In":[32],"its":[33],"representation":[34],"learning":[35],"stage,":[36],"K-Face":[37,90,111],"employs":[39],"novel":[41],"loss":[43],"to":[44],"select":[45],"K":[46],"same-class":[47],"samples":[48],"as":[49],"positive":[50],"groups,":[51],"reducing":[52],"distance":[54],"features":[56],"between":[57],"anchor":[59],"groups":[62],"achieving":[64],"compact":[65],"clustering.":[66],"The":[67],"subsequent":[68],"classification":[69],"stage":[70],"utilizes":[71],"Spatial":[72],"Pooling":[73],"across":[74],"spatial":[75],"global":[77],"dimensions,":[78],"increasing":[79],"inter-class":[80],"feature":[81],"distances":[82],"for":[83],"balanced":[84],"Extensive":[86],"experiments":[87],"demonstrate":[88],"that":[89],"makes":[92],"better":[93],"performance":[94],"categories":[97],"achieves":[99],"state-of-the-art":[100],"on":[101],"three":[102],"popular":[103],"datasets":[104],"both":[106],"average":[107],"overall":[109],"accuracy.":[110],"provides":[113],"new":[115],"perspective":[116],"recognition":[120],"underrepresented":[122],"facial":[123],"real-world":[126],"scenarios.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
