{"id":"https://openalex.org/W4407948912","doi":"https://doi.org/10.1109/access.2025.3546061","title":"Enhancing Facial Recognition and Expression Analysis With Unified Zero-Shot and Deep Learning Techniques","display_name":"Enhancing Facial Recognition and Expression Analysis With Unified Zero-Shot and Deep Learning Techniques","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407948912","doi":"https://doi.org/10.1109/access.2025.3546061"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3546061","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3546061","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3546061","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075461674","display_name":"Sasan Karamizadeh","orcid":"https://orcid.org/0000-0001-9445-8044"},"institutions":[{"id":"https://openalex.org/I4210163293","display_name":"Islamic Azad University of Damavand","ror":"https://ror.org/0516eyx49","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I4210163293"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Sasan Karamizadeh","raw_affiliation_strings":["Ershad Damavand Institute of Higher Education, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0001-9445-8044","affiliations":[{"raw_affiliation_string":"Ershad Damavand Institute of Higher Education, Tehran, Iran","institution_ids":["https://openalex.org/I4210163293"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041014454","display_name":"Saman Shojae Chaeikar","orcid":"https://orcid.org/0000-0002-2958-6901"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Saman Shojae Chaeikar","raw_affiliation_strings":["Sydney International School of Technology and Commerce, Sydney, NSW, Australia","Sydney International School of Technology and Commerce, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-2958-6901","affiliations":[{"raw_affiliation_string":"Sydney International School of Technology and Commerce, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Sydney International School of Technology and Commerce, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053163275","display_name":"Maryam Khanian Najafabadi","orcid":"https://orcid.org/0000-0002-5071-7515"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Maryam Khanian Najafabadi","raw_affiliation_strings":["Sydney International School of Technology and Commerce, Sydney, NSW, Australia","Sydney International School of Technology and Commerce, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-5071-7515","affiliations":[{"raw_affiliation_string":"Sydney International School of Technology and Commerce, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Sydney International School of Technology and Commerce, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.5711,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.88935633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"13","issue":null,"first_page":"43508","last_page":"43519"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.5856000185012817,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.5856000185012817,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.5175999999046326,"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":0.616929292678833},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.54880291223526},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.48401615023612976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46987706422805786},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.45276039838790894},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4468138515949249},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.44587212800979614},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.4321596026420593},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34005212783813477}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.616929292678833},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.54880291223526},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.48401615023612976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46987706422805786},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.45276039838790894},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4468138515949249},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.44587212800979614},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4321596026420593},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34005212783813477},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3546061","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3546061","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d9b9b74bc8d14dd28839e52525344227","is_oa":true,"landing_page_url":"https://doaj.org/article/d9b9b74bc8d14dd28839e52525344227","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 43508-43519 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3546061","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3546061","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1578352865","https://openalex.org/W1834627138","https://openalex.org/W2096733369","https://openalex.org/W2747472841","https://openalex.org/W2888590069","https://openalex.org/W2919115771","https://openalex.org/W2932296145","https://openalex.org/W2963839617","https://openalex.org/W2964003763","https://openalex.org/W3091074842","https://openalex.org/W3215432186","https://openalex.org/W4200600689","https://openalex.org/W4205518925","https://openalex.org/W4210922983","https://openalex.org/W4220888781","https://openalex.org/W4221162811","https://openalex.org/W4280640824","https://openalex.org/W4304734250","https://openalex.org/W4306386320","https://openalex.org/W4381149239","https://openalex.org/W4386004303","https://openalex.org/W4392409137","https://openalex.org/W4393153464","https://openalex.org/W6638046521","https://openalex.org/W6684191040","https://openalex.org/W6755227856","https://openalex.org/W6796960142","https://openalex.org/W6809642341","https://openalex.org/W6862214580","https://openalex.org/W6868996660"],"related_works":["https://openalex.org/W2642127892","https://openalex.org/W4205986151","https://openalex.org/W2355913164","https://openalex.org/W2162992774","https://openalex.org/W1153638794","https://openalex.org/W2168968280","https://openalex.org/W2901126000","https://openalex.org/W4323520705","https://openalex.org/W2116055069","https://openalex.org/W2356663679"],"abstract_inverted_index":{"This":[0,129],"paper":[1,63],"presents":[2],"a":[3,75],"new":[4],"model":[5,23,94],"that":[6,110],"enhances":[7,119],"face":[8,72,120],"recognition":[9,40,68,73,121],"while":[10,58],"addressing":[11],"challenges":[12],"such":[13],"as":[14],"illumination":[15,26,138],"variation":[16],"and":[17,39,87,104,122,133,139],"noise":[18,37,140],"in":[19,137,142],"facial":[20,56,66,77],"images.":[21],"The":[22],"integrates":[24],"state-of-the-art":[25],"normalization":[27,113],"based":[28],"on":[29],"Retinex":[30],"theory":[31],"with":[32,70,83,115],"median":[33],"filtering":[34],"to":[35,53,95],"improve":[36],"reduction":[38],"accuracy.":[41],"Utilizing":[42],"pre-trained":[43],"VGG-16":[44],"weights,":[45],"it":[46],"incorporates":[47],"aspects":[48],"of":[49],"the":[50,93],"Boltzmann":[51],"machine":[52],"extract":[54],"intricate":[55],"features":[57],"reducing":[59],"overfitting.":[60],"Additionally,":[61],"this":[62],"merges":[64],"zero-shot":[65,116],"expression":[67,123],"methodologies":[69],"illumination-robust":[71],"within":[74],"unified":[76],"analysis":[78,124],"framework.":[79],"Integrating":[80],"pre-processing":[81],"models":[82,86],"large":[84],"language":[85],"advanced":[88],"feature":[89],"extraction":[90],"techniques":[91,114],"enables":[92],"excel":[96],"across":[97],"various":[98],"benchmarks,":[99],"including":[100],"FERET,":[101],"LFW,":[102],"CelebA,":[103],"VGGFace2":[105],"datasets.":[106],"These":[107],"findings":[108],"indicate":[109],"combining":[111],"superior":[112],"learning":[117],"significantly":[118],"under":[125],"challenging":[126],"real-world":[127],"conditions.":[128],"solution":[130],"is":[131],"practical":[132],"robust":[134],"against":[135],"variations":[136],"encountered":[141],"everyday":[143],"situations.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
