{"id":"https://openalex.org/W3198561183","doi":"https://doi.org/10.1145/3460426.3463642","title":"Facial Structure Guided GAN for Identity-preserved Face Image De-occlusion","display_name":"Facial Structure Guided GAN for Identity-preserved Face Image De-occlusion","publication_year":2021,"publication_date":"2021-08-24","ids":{"openalex":"https://openalex.org/W3198561183","doi":"https://doi.org/10.1145/3460426.3463642","mag":"3198561183"},"language":"en","primary_location":{"id":"doi:10.1145/3460426.3463642","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460426.3463642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Multimedia Retrieval","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/A5038516431","display_name":"Yiu\u2010ming Cheung","orcid":"https://orcid.org/0000-0001-7629-4648"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yiu-Ming Cheung","raw_affiliation_strings":["Hong Kong Baptist University, Kowloon Tong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100730941","display_name":"Mengke Li","orcid":"https://orcid.org/0000-0002-9433-9683"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Mengke Li","raw_affiliation_strings":["Hong Kong Baptist University, Kowloon Tong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000530724","display_name":"Rong Zou","orcid":"https://orcid.org/0000-0002-2297-1348"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Rong Zou","raw_affiliation_strings":["Hong Kong Baptist University, Kowloon Tong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038516431"],"corresponding_institution_ids":["https://openalex.org/I141568987"],"apc_list":null,"apc_paid":null,"fwci":0.9607,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.77562092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9997000098228455,"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":0.9997000098228455,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9984999895095825,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.998199999332428,"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":0.7423285245895386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6867355704307556},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.5602726340293884},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5372127890586853},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5347045660018921},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4878666400909424},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4810757637023926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45336347818374634},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.443093478679657},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41009676456451416},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.26592570543289185}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7423285245895386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6867355704307556},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.5602726340293884},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5372127890586853},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5347045660018921},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4878666400909424},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4810757637023926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45336347818374634},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.443093478679657},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41009676456451416},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26592570543289185},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3460426.3463642","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460426.3463642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7099999785423279,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G8251824717","display_name":null,"funder_award_id":"RC-FNRA-IG/18-19/SCI/03, RC-IRCMs/18-19/01","funder_id":"https://openalex.org/F4320320955","funder_display_name":"Hong Kong Baptist University"}],"funders":[{"id":"https://openalex.org/F4320320955","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W398859631","https://openalex.org/W1779483307","https://openalex.org/W1916406603","https://openalex.org/W1975049209","https://openalex.org/W1993120651","https://openalex.org/W2007203285","https://openalex.org/W2031832209","https://openalex.org/W2064309976","https://openalex.org/W2082394177","https://openalex.org/W2106103101","https://openalex.org/W2108146099","https://openalex.org/W2113945798","https://openalex.org/W2129812935","https://openalex.org/W2131831293","https://openalex.org/W2217448953","https://openalex.org/W2237250383","https://openalex.org/W2295936755","https://openalex.org/W2412782625","https://openalex.org/W2532338691","https://openalex.org/W2540404261","https://openalex.org/W2594908799","https://openalex.org/W2609575245","https://openalex.org/W2611104282","https://openalex.org/W2784163702","https://openalex.org/W2786166435","https://openalex.org/W2947587845","https://openalex.org/W2949399848","https://openalex.org/W2962644414","https://openalex.org/W2962793481","https://openalex.org/W2963460857","https://openalex.org/W2963470893","https://openalex.org/W2964309882","https://openalex.org/W2964337551","https://openalex.org/W2979879857","https://openalex.org/W2987654099","https://openalex.org/W2989207674","https://openalex.org/W3035470592","https://openalex.org/W3101227480","https://openalex.org/W3103152812","https://openalex.org/W3145013517"],"related_works":["https://openalex.org/W3217069185","https://openalex.org/W4312090303","https://openalex.org/W3049340819","https://openalex.org/W4308928038","https://openalex.org/W4200430540","https://openalex.org/W3141413246","https://openalex.org/W2808862658","https://openalex.org/W4322709305","https://openalex.org/W3002487853","https://openalex.org/W3010213975"],"abstract_inverted_index":{"In":[0,54,80,96,125],"some":[1],"practical":[2],"scenarios,":[3],"such":[4],"as":[5,179,181],"video":[6],"surveillance":[7],"and":[8,35,68,103,109],"personal":[9],"identification,":[10],"we":[11,57],"often":[12,48],"have":[13],"to":[14,50,91,119,135,142,148,166,190],"address":[15,59],"the":[16,39,41,84,86,93,99,104,121,128,136,144,152,155,161,168,176,192,199,203,206],"recognition":[17,45],"problem":[18,61],"of":[19,43,83,205],"occluded":[20,105,145],"faces,":[21],"where":[22],"content":[23],"replacement":[24],"by":[25,62],"serious":[26],"occlusion":[27],"with":[28],"non-face":[29],"objects":[30],"always":[31],"produces":[32],"partial":[33],"appearance":[34,177],"ambiguous":[36],"representation.":[37],"Under":[38],"circumstances,":[40],"performance":[42],"face":[44,66,123,146],"algorithms":[46],"will":[47],"deteriorate":[49],"a":[51,70,112,184],"certain":[52],"degree.":[53],"this":[55,60,126],"paper,":[56],"therefore":[58],"removing":[63],"occlusions":[64],"on":[65,198],"images":[67],"present":[69],"new":[71],"two-stage":[72],"Facial":[73],"Structure":[74],"Guided":[75],"Generative":[76],"Adversarial":[77],"Network":[78],"(FSG-GAN).":[79],"Stage":[81,97],"I":[82],"FSG-GAN,":[85],"variational":[87],"auto-encoder":[88],"is":[89,188],"used":[90],"predict":[92],"facial":[94,101,129],"structure.":[95],"II,":[98],"predicted":[100],"structure":[102,130],"image":[106,147],"are":[107],"concatenated":[108],"fed":[110],"into":[111],"generative":[113],"adversarial":[114],"network":[115,159],"(GAN)":[116],"based":[117,157],"model":[118],"synthesize":[120],"de-occlusion":[122],"image.":[124],"way,":[127],"knowledge":[131],"can":[132],"be":[133,149],"transferred":[134],"synthesis":[137,158],"network.":[138],"Especially,":[139],"in":[140,154],"order":[141],"enable":[143],"perceived":[150],"well,":[151],"generator":[153],"GAN":[156],"utilizes":[160],"hybrid":[162],"dilated":[163],"convolution":[164],"modules":[165],"extend":[167],"receptive":[169],"field.":[170],"Furthermore,":[171],"aiming":[172],"at":[173],"further":[174],"eliminating":[175],"ambiguity":[178],"well":[180],"unnatural":[182],"texture,":[183],"multi-receptive":[185],"fields":[186],"discriminator":[187],"proposed":[189,207],"utilize":[191],"features":[193],"from":[194],"different":[195],"levels.":[196],"Experiments":[197],"benchmark":[200],"datasets":[201],"show":[202],"efficacy":[204],"FSG-GAN.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}