{"id":"https://openalex.org/W4411888840","doi":"https://doi.org/10.54364/aaiml.2025.52214","title":"Harnessing Deep Learning Techniques for the Removal of Occlusion in Face Image","display_name":"Harnessing Deep Learning Techniques for the Removal of Occlusion in Face Image","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411888840","doi":"https://doi.org/10.54364/aaiml.2025.52214"},"language":"en","primary_location":{"id":"doi:10.54364/aaiml.2025.52214","is_oa":true,"landing_page_url":"https://doi.org/10.54364/aaiml.2025.52214","pdf_url":"https://doi.org/10.54364/aaiml.2025.52214","source":{"id":"https://openalex.org/S4210238872","display_name":"Advances in Artificial Intelligence and Machine Learning","issn_l":"2582-9793","issn":["2582-9793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Artificial Intelligence and Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.54364/aaiml.2025.52214","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011960250","display_name":"Jyothsna Cherapanamjeri","orcid":"https://orcid.org/0009-0009-4636-8138"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jyothsna Cherapanamjeri","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5112999735","display_name":"Narendra Kumar Rao Bangole","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Narendra Kumar Rao Bangole","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011960250"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17239995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"05","issue":"02","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9415000081062317,"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/T11448","display_name":"Face recognition and analysis","score":0.9415000081062317,"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/T12301","display_name":"Facial Nerve Paralysis Treatment and Research","score":0.907800018787384,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/occlusion","display_name":"Occlusion","score":0.6169047355651855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.574560284614563},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.543043851852417},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.50162672996521},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4466083347797394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4453775882720947},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2965199947357178},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.14461633563041687},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.07408401370048523}],"concepts":[{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.6169047355651855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.574560284614563},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.543043851852417},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.50162672996521},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4466083347797394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4453775882720947},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2965199947357178},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.14461633563041687},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.07408401370048523},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.54364/aaiml.2025.52214","is_oa":true,"landing_page_url":"https://doi.org/10.54364/aaiml.2025.52214","pdf_url":"https://doi.org/10.54364/aaiml.2025.52214","source":{"id":"https://openalex.org/S4210238872","display_name":"Advances in Artificial Intelligence and Machine Learning","issn_l":"2582-9793","issn":["2582-9793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Artificial Intelligence and Machine Learning","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.54364/aaiml.2025.52214","is_oa":true,"landing_page_url":"https://doi.org/10.54364/aaiml.2025.52214","pdf_url":"https://doi.org/10.54364/aaiml.2025.52214","source":{"id":"https://openalex.org/S4210238872","display_name":"Advances in Artificial Intelligence and Machine Learning","issn_l":"2582-9793","issn":["2582-9793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Artificial Intelligence and Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411888840.pdf","grobid_xml":"https://content.openalex.org/works/W4411888840.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1998251850","https://openalex.org/W2050113633","https://openalex.org/W2145526234","https://openalex.org/W2316174884","https://openalex.org/W2521769738","https://openalex.org/W2529216001","https://openalex.org/W2544747291","https://openalex.org/W2552465644","https://openalex.org/W2790434690","https://openalex.org/W3183292779","https://openalex.org/W4205615683","https://openalex.org/W6680413617","https://openalex.org/W6731379801","https://openalex.org/W6752670383","https://openalex.org/W6770473083"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407"],"abstract_inverted_index":{"Occlusion":[0],"removal":[1,50,67,119],"is":[2,14,19,25,37,156,163,186,224],"one":[3,26,137],"of":[4,43,51,68,74,79,92,210,222,254],"the":[5,21,41,66,109,142,147,150,189,208,214,217,220,226,231,234,252],"challenging":[6],"tasks":[7],"in":[8,72,133,140,169,174,183],"face":[9,17,80,101,200,223,232],"recognition":[10,34,82],"system.":[11],"Facial":[12],"occlusion":[13,52,114,118,221],"nothing":[15],"but":[16],"object":[18,23,99],"hiding":[20],"other":[22,148],"which":[24],"important":[27],"factor":[28],"that":[29,62,162],"influences":[30],"how":[31],"well":[32],"facial":[33],"works.":[35],"There":[36],"insufficient":[38],"research":[39,94,185],"regarding":[40],"issue":[42],"occlusion.":[44],"Researchers":[45],"proposed":[46,122,190],"several":[47],"methods":[48],"for":[49,65],"to":[53,59,96,103,158,165,176,196,242],"recognize":[54,230],"faces.":[55,75,89,178],"But":[56],"are":[57,63,131],"unable":[58],"produce":[60],"results":[61],"realistic":[64],"significant":[69],"objects,":[70],"particularly":[71],"images":[73,102,168],"The":[76,90,179],"performance":[77],"test":[78],"recognizer":[81],"system":[83,227],"degrades":[84],"when":[85],"dealing":[86],"with":[87,171],"masked":[88,167],"objective":[91],"this":[93,184,249],"work":[95],"remove":[97,243],"mask":[98],"from":[100],"recognizes":[104],"faces":[105],"easily.":[106],"We":[107,121],"divide":[108],"problem":[110],"into":[111],"two":[112],"modules:":[113],"detection":[115],"module":[116],"and":[117,202,233],"module.":[120],"deep":[123,151],"learning-based":[124],"technique":[125],"called":[126],"GAN-based":[127,135],"network.":[128],"Two":[129],"discriminators":[130],"used":[132,157,182],"a":[134],"network\u037e":[136],"discriminator":[138],"helps":[139],"learning":[141],"face\u2019s":[143],"global":[144],"structure,":[145],"while":[146,245],"learns":[149],"missing":[152],"region.":[153],"MaskedFace-CelebA":[154],"dataset":[155],"evaluate":[159],"our":[160],"model":[161],"utilised":[164],"compare":[166],"pairs":[170],"ground":[172],"truth":[173],"order":[175],"verify":[177],"evaluation":[180],"metric":[181],"SSIM.":[187],"Using":[188],"method":[191],"can":[192,228],"be":[193],"useful":[194],"task":[195],"generate":[197],"new":[198],"unmasked":[199],"samples":[201],"help":[203],"criminal":[204],"investigation":[205],"agencies1to":[206],"reveal":[207],"identity":[209],"criminals":[211],"who":[212],"committed":[213],"crimes":[215],"behind":[216],"mask.":[218],"Once":[219],"removed,":[225],"easily":[229],"biometric":[235,247],"authentication":[236],"during":[237],"COVID-19":[238,255],"pandemic":[239],"no":[240],"need":[241],"masks":[244],"taking":[246],"attendance,":[248],"will":[250],"reduce":[251],"spread":[253],"disease.":[256]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
