{"id":"https://openalex.org/W4416252372","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227902","title":"Pre-trained Latent Diffusion Model-based Image Enhancement with Cross-Fusion Transformer Network for Expression Recognition","display_name":"Pre-trained Latent Diffusion Model-based Image Enhancement with Cross-Fusion Transformer Network for Expression Recognition","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416252372","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227902"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5100371017","display_name":"Fan Liu","orcid":"https://orcid.org/0000-0001-5149-1178"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Liu","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,Changsha,China,410082"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,Changsha,China,410082","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059255767","display_name":"Yutao Dou","orcid":"https://orcid.org/0000-0001-9990-690X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutao Dou","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,Changsha,China,410082"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,Changsha,China,410082","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103259363","display_name":"C. He","orcid":"https://orcid.org/0009-0005-7422-8563"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changfeng He","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,Changsha,China,410082"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,Changsha,China,410082","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029907906","display_name":"Xianliang Chen","orcid":"https://orcid.org/0000-0003-1355-5374"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I4210126592","display_name":"National Clinical Research","ror":"https://ror.org/03ddkvp86","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210126592"]},{"id":"https://openalex.org/I4210153856","display_name":"Second Xiangya Hospital of Central South University","ror":"https://ror.org/053v2gh09","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210153856"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Xianliang Chen","raw_affiliation_strings":["The Second Xiangya Hospital Central South University,National Clinical Research Center for Mental Disorders National Center for Mental Disorders,Department of Psychiatry,Changsha,China,410011"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Second Xiangya Hospital Central South University,National Clinical Research Center for Mental Disorders National Center for Mental Disorders,Department of Psychiatry,Changsha,China,410011","institution_ids":["https://openalex.org/I4210153856","https://openalex.org/I4210126592","https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110469590","display_name":"Jiansong Zhou","orcid":"https://orcid.org/0000-0002-4410-4202"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I4210126592","display_name":"National Clinical Research","ror":"https://ror.org/03ddkvp86","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210126592"]},{"id":"https://openalex.org/I4210153856","display_name":"Second Xiangya Hospital of Central South University","ror":"https://ror.org/053v2gh09","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210153856"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jiansong Zhou","raw_affiliation_strings":["The Second Xiangya Hospital Central South University,National Clinical Research Center for Mental Disorders National Center for Mental Disorders,Department of Psychiatry,Changsha,China,410011"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Second Xiangya Hospital Central South University,National Clinical Research Center for Mental Disorders National Center for Mental Disorders,Department of Psychiatry,Changsha,China,410011","institution_ids":["https://openalex.org/I4210153856","https://openalex.org/I4210126592","https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108008219","display_name":"Shaoliang Peng","orcid":"https://orcid.org/0000-0002-4647-2615"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoliang Peng","raw_affiliation_strings":["Hunan University,College of Computer Science and Electronic Engineering,Changsha,China,410082"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University,College of Computer Science and Electronic Engineering,Changsha,China,410082","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32155804,"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":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9275000095367432,"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":0.9275000095367432,"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":0.020999999716877937,"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/T10057","display_name":"Face and Expression Recognition","score":0.00860000029206276,"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/transformer","display_name":"Transformer","score":0.602400004863739},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5562000274658203},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.553600013256073},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5418999791145325},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.414000004529953},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.41290000081062317},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.41029998660087585}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7508999705314636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6560999751091003},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.602400004863739},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5562000274658203},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.553600013256073},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5418999791145325},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5281999707221985},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.414000004529953},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.41290000081062317},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.41029998660087585},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.34700000286102295},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3411000072956085},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31850001215934753},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.26840001344680786},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.25690001249313354}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2481681431","https://openalex.org/W2738672149","https://openalex.org/W2900046143","https://openalex.org/W2922923314","https://openalex.org/W2936712672","https://openalex.org/W2951434650","https://openalex.org/W4311414773","https://openalex.org/W4312465353","https://openalex.org/W4386161521","https://openalex.org/W4387827743","https://openalex.org/W4390190649","https://openalex.org/W4403134552","https://openalex.org/W4404056942","https://openalex.org/W4406260636","https://openalex.org/W4415821176"],"related_works":[],"abstract_inverted_index":{"Facial":[0],"Expression":[1],"Recognition":[2],"(FER)":[3],"has":[4],"broad":[5],"application":[6],"potential":[7],"in":[8,33,44,110,175],"fields":[9],"such":[10],"as":[11,36,38],"education,":[12],"human-computer":[13],"interaction,":[14],"healthcare,":[15],"and":[16,29,41,69,94,105,114,147,183,189],"Online":[17],"monitoring.":[18],"However,":[19],"the":[20,34,92,119,158],"FER":[21,176],"task":[22],"faces":[23],"significant":[24,172],"challenges,":[25],"including":[26],"missing,":[27],"incomplete,":[28],"tilted":[30,107],"facial":[31,45,103,130,145,180],"samples":[32],"data,":[35],"well":[37],"inter-class":[39,139],"similarity":[40],"intra-class":[42,161],"disparity":[43,162],"expressions,":[46],"which":[47,63],"pose":[48],"challenges":[49],"to":[50,128,152],"recognition.":[51,90],"To":[52],"address":[53],"these":[54],"issues,":[55],"we":[56],"propose":[57],"a":[58,82,124,149,187],"two-stage":[59],"method":[60],"called":[61],"LDM-POSTER,":[62],"integrates":[64],"Latent":[65],"Diffusion":[66],"Models":[67],"(LDM)":[68],"Prompt":[70],"Engineering":[71],"for":[72,89,192],"data":[73],"augmentation.":[74],"The":[75],"enhanced":[76],"images":[77],"are":[78],"then":[79],"fed":[80],"into":[81],"dual-stream":[83],"Pyramid":[84],"Cross-Fusion":[85],"Transformer":[86],"Network":[87],"(POSTER)":[88],"Specifically,":[91],"LDM":[93],"prompt":[95],"engineering":[96],"stages":[97],"effectively":[98,137],"repair":[99],"missing":[100,179],"or":[101],"incomplete":[102],"regions":[104,146],"correct":[106],"poses,":[108],"resulting":[109],"more":[111],"complete,":[112],"clear,":[113],"information-rich":[115],"input":[116],"data.":[117],"In":[118],"recognition":[120,164],"stage,":[121],"POSTER":[122],"utilizes":[123],"transformer-based":[125],"cross-fusion":[126],"structure":[127,151],"integrate":[129],"landmark":[131],"features":[132],"with":[133,178],"global":[134],"image":[135],"features,":[136],"distinguishing":[138],"similarities.":[140],"By":[141],"focusing":[142],"on":[143,163],"salient":[144],"employing":[148],"pyramid":[150],"achieve":[153],"scale":[154],"invariance,":[155],"it":[156],"alleviates":[157],"impact":[159],"of":[160],"accuracy.Within":[165],"extensive":[166],"experiments":[167],"demonstrate":[168],"that":[169],"LDM-POSTER":[170],"achieves":[171],"performance":[173],"improvements":[174],"scenarios":[177],"key":[181],"parts":[182],"complex":[184],"structures,":[185],"providing":[186],"robust":[188],"efficient":[190],"solution":[191],"FER.":[193]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-14T00:00:00"}