{"id":"https://openalex.org/W4406261091","doi":"https://doi.org/10.1109/bibm62325.2024.10822401","title":"Automatic Depression Detection Network Based on Facial Images and Facial Landmarks Feature Fusion","display_name":"Automatic Depression Detection Network Based on Facial Images and Facial Landmarks Feature Fusion","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406261091","doi":"https://doi.org/10.1109/bibm62325.2024.10822401"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822401","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 Bioinformatics and Biomedicine (BIBM)","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/A5091586702","display_name":"Min Hu","orcid":"https://orcid.org/0000-0003-2122-0240"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Hu","raw_affiliation_strings":["Hefei University of Technology,Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei University of Technology,Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine,Hefei,China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078269758","display_name":"Liangting Xu","orcid":"https://orcid.org/0000-0002-9168-0931"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingxiang Xu","raw_affiliation_strings":["Hefei University of Technology,Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei University of Technology,Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine,Hefei,China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102609826","display_name":"Lei Liu","orcid":"https://orcid.org/0009-0009-8889-9658"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Liu","raw_affiliation_strings":["Hefei University of Technology,Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei University of Technology,Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine,Hefei,China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066988252","display_name":"Xiaohua Wang","orcid":"https://orcid.org/0000-0003-1751-2291"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Wang","raw_affiliation_strings":["Hefei University of Technology,Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei University of Technology,Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine,Hefei,China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402157","display_name":"Hongbo Li","orcid":"https://orcid.org/0000-0001-7711-5744"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Li","raw_affiliation_strings":["Hefei University of Technology,Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei University of Technology,Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine,Hefei,China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079824167","display_name":"Jiaoyun Yang","orcid":"https://orcid.org/0000-0002-0233-590X"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaoyun Yang","raw_affiliation_strings":["Hefei University of Technology,Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei University of Technology,Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine,Hefei,China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8724,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78549684,"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":"3283","last_page":"3288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.6438000202178955,"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":0.6438000202178955,"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":0.11980000138282776,"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":0.02199999988079071,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7522231340408325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6674482822418213},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6542385220527649},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6146354675292969},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5377286672592163},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5273022651672363},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.42941418290138245},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41987884044647217}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7522231340408325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6674482822418213},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6542385220527649},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6146354675292969},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5377286672592163},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5273022651672363},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.42941418290138245},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41987884044647217},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822401","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 Bioinformatics and Biomedicine (BIBM)","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2056403322","https://openalex.org/W2129579709","https://openalex.org/W2182998784","https://openalex.org/W2519531315","https://openalex.org/W2570412145","https://openalex.org/W2800833042","https://openalex.org/W2889847952","https://openalex.org/W3003720578","https://openalex.org/W3004404036","https://openalex.org/W3015892324","https://openalex.org/W3034504038","https://openalex.org/W3035336958","https://openalex.org/W3094644839","https://openalex.org/W3118530108","https://openalex.org/W3155665398","https://openalex.org/W3195286673","https://openalex.org/W3209798173","https://openalex.org/W4280629612","https://openalex.org/W4292829032","https://openalex.org/W4319988294","https://openalex.org/W4400062066","https://openalex.org/W6798883673","https://openalex.org/W6839204056"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278","https://openalex.org/W2886173746","https://openalex.org/W4200043248"],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"methods":[2],"offer":[3],"objectivity":[4],"and":[5,30,67,80,121],"convenience":[6],"in":[7,25,198],"automatic":[8],"depression":[9,103,151,186,200],"detection,":[10],"however,":[11],"current":[12],"research":[13],"often":[14],"neglects":[15],"the":[16,41,62,68,97,125,134,141,146,160,174,183],"critical":[17],"role":[18],"of":[19,33,101,149,185],"facial":[20,90,119,154,171],"landmarks.":[21],"This":[22],"oversight":[23],"results":[24,190],"insufficient":[26],"spatial":[27],"structure":[28],"information":[29,44,100,167],"a":[31,56,77],"lack":[32],"detailed":[34,98],"local":[35],"representation,":[36],"which":[37],"fails":[38],"to":[39,87,113,128,181,202],"capture":[40,129],"nuanced":[42],"semantic":[43,99,147],"crucial":[45],"for":[46],"identifying":[47],"depression-related":[48,131],"clues.":[49,104],"To":[50],"address":[51],"these":[52],"issues,":[53],"we":[54],"introduce":[55],"novel":[57],"dual-branch":[58],"network":[59,164],"model":[60,194],"comprising":[61],"Landmark-Image-Landmark":[63],"Net":[64,73,84,106,162],"(LIL":[65],"Net)":[66],"Global":[69],"Context":[70],"Vision":[71],"Transformer":[72],"(GCVit":[74],"Net).":[75],"Through":[76],"dual-stream,":[78],"multiscale,":[79],"cross-fusion":[81],"strategy,":[82],"LIL":[83,105,110],"is":[85],"designed":[86],"extract":[88],"original":[89],"image":[91],"features":[92,117,175],"alongside":[93],"landmark":[94],"features,":[95,144],"prioritizing":[96],"potential":[102,150],"employs":[107],"an":[108],"innovative":[109],"Attention":[111],"approach":[112],"jointly":[114],"learn":[115],"multiscale":[116,143],"from":[118,176],"landmarks":[120,155],"images,":[122],"thereby":[123],"enhancing":[124],"model\u2019s":[126],"ability":[127],"fine-grained":[130],"cues.":[132],"Furthermore,":[133],"Multi-scale":[135],"Feature":[136],"Fusion":[137],"(MSFF)":[138],"module":[139],"fuses":[140],"obtained":[142],"augmenting":[145],"expression":[148],"clues":[152],"within":[153],"via":[156],"attention":[157],"mechanisms.":[158],"Meanwhile,":[159],"GCVit":[161],"branch":[163],"supplements":[165],"global":[166,170],"by":[168],"extracting":[169],"features.":[172],"Finally,":[173],"both":[177],"branches":[178],"are":[179],"concatenated":[180],"enhance":[182],"accuracy":[184],"degree":[187],"predictions.":[188],"Experimental":[189],"demonstrate":[191],"that":[192],"our":[193,207],"has":[195],"superior":[196],"performance":[197],"detecting":[199],"compared":[201],"existing":[203],"methods.":[204],"We":[205],"release":[206],"code":[208],"at":[209],"https://github.com/xlx777/LIL-Net.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
