{"id":"https://openalex.org/W4382364111","doi":"https://doi.org/10.1016/j.patcog.2023.109792","title":"Adapt-Infomap: Face clustering with adaptive graph refinement in infomap","display_name":"Adapt-Infomap: Face clustering with adaptive graph refinement in infomap","publication_year":2023,"publication_date":"2023-06-28","ids":{"openalex":"https://openalex.org/W4382364111","doi":"https://doi.org/10.1016/j.patcog.2023.109792"},"language":"en","primary_location":{"id":"doi:10.1016/j.patcog.2023.109792","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.patcog.2023.109792","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.patcog.2023.109792","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026413178","display_name":"Xiaotian Yu","orcid":"https://orcid.org/0000-0001-8428-4650"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xiaotian Yu","raw_affiliation_strings":["Department of AI Technology Center, Shenzhen Intellifusion Inc., China"],"raw_orcid":"https://orcid.org/0000-0001-8428-4650","affiliations":[{"raw_affiliation_string":"Department of AI Technology Center, Shenzhen Intellifusion Inc., China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101646266","display_name":"Yifan Yang","orcid":"https://orcid.org/0000-0002-2840-992X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Yang","raw_affiliation_strings":["Department of AI Technology Center, Shenzhen Intellifusion Inc., China","Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2840-992X","affiliations":[{"raw_affiliation_string":"Department of AI Technology Center, Shenzhen Intellifusion Inc., China","institution_ids":[]},{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009200537","display_name":"Aibo Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aibo Wang","raw_affiliation_strings":["Department of AI Technology Center, Shenzhen Intellifusion Inc., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of AI Technology Center, Shenzhen Intellifusion Inc., China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100310099","display_name":"Ling Xing","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ling Xing","raw_affiliation_strings":["Department of AI Technology Center, Shenzhen Intellifusion Inc., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of AI Technology Center, Shenzhen Intellifusion Inc., China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018764462","display_name":"Haokui Zhang","orcid":"https://orcid.org/0000-0002-4336-5558"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haokui Zhang","raw_affiliation_strings":["Department of AI Technology Center, Shenzhen Intellifusion Inc., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of AI Technology Center, Shenzhen Intellifusion Inc., China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079889612","display_name":"Hanling Yi","orcid":"https://orcid.org/0000-0002-0619-3785"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hanling Yi","raw_affiliation_strings":["Department of AI Technology Center, Shenzhen Intellifusion Inc., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of AI Technology Center, Shenzhen Intellifusion Inc., China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030843117","display_name":"Guangming Lu","orcid":"https://orcid.org/0000-0003-1578-2634"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Lu","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092349236","display_name":"Xiaoyu Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Wang","raw_affiliation_strings":["Department of AI Technology Center, Shenzhen Intellifusion Inc., China","The Chinese University of Hong Kong\u00a0(Shenzhen),China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of AI Technology Center, Shenzhen Intellifusion Inc., China","institution_ids":[]},{"raw_affiliation_string":"The Chinese University of Hong Kong\u00a0(Shenzhen),China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5026413178"],"corresponding_institution_ids":[],"apc_list":{"value":2710,"currency":"USD","value_usd":2710},"apc_paid":{"value":2710,"currency":"USD","value_usd":2710},"fwci":0.7955,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73930443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"143","issue":null,"first_page":"109792","last_page":"109792"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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"}},"topics":[{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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/T10057","display_name":"Face and Expression Recognition","score":0.9945999979972839,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9923999905586243,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7716445922851562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7198704481124878},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6518794298171997},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5962687730789185},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5876355171203613},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5077003240585327},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.492891788482666},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.45002347230911255},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.42520660161972046},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.42415037751197815},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4209415018558502},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3325055241584778},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1055310070514679}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7716445922851562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7198704481124878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6518794298171997},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5962687730789185},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5876355171203613},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5077003240585327},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.492891788482666},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.45002347230911255},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.42520660161972046},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.42415037751197815},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4209415018558502},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3325055241584778},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1055310070514679},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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:10.1016/j.patcog.2023.109792","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.patcog.2023.109792","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.patcog.2023.109792","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.patcog.2023.109792","pdf_url":null,"source":{"id":"https://openalex.org/S414566","display_name":"Pattern Recognition","issn_l":"0031-3203","issn":["0031-3203","1873-5142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pattern Recognition","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W91851626","https://openalex.org/W569478347","https://openalex.org/W1594924988","https://openalex.org/W1925417509","https://openalex.org/W1992419399","https://openalex.org/W2012382622","https://openalex.org/W2072240081","https://openalex.org/W2120636855","https://openalex.org/W2124209874","https://openalex.org/W2127048411","https://openalex.org/W2140405352","https://openalex.org/W2182645461","https://openalex.org/W2238145932","https://openalex.org/W2341251094","https://openalex.org/W2626495487","https://openalex.org/W2913239513","https://openalex.org/W2924173387","https://openalex.org/W2945449220","https://openalex.org/W2963087412","https://openalex.org/W2965898445","https://openalex.org/W2998702515","https://openalex.org/W3099744893","https://openalex.org/W3100394220","https://openalex.org/W3102641634","https://openalex.org/W3198555355","https://openalex.org/W4236965008","https://openalex.org/W4298149820","https://openalex.org/W4300829369","https://openalex.org/W6637131181","https://openalex.org/W6657381822","https://openalex.org/W6683284105","https://openalex.org/W6684720907","https://openalex.org/W6685850274","https://openalex.org/W6694468132","https://openalex.org/W6725558437","https://openalex.org/W6726453277","https://openalex.org/W6735662605","https://openalex.org/W6745206590","https://openalex.org/W6748010250","https://openalex.org/W6750192955","https://openalex.org/W6760949375","https://openalex.org/W6761253396","https://openalex.org/W6776408149","https://openalex.org/W6779625992","https://openalex.org/W6784305470","https://openalex.org/W6796678180","https://openalex.org/W6802132179","https://openalex.org/W6810141959"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2562400057","https://openalex.org/W1692008701","https://openalex.org/W2597588799","https://openalex.org/W4360593462","https://openalex.org/W2194570607","https://openalex.org/W2807634898"],"abstract_inverted_index":{"Face":[0],"clustering":[1,68,75,94,106],"is":[2],"a":[3,96],"critical":[4],"task":[5,29],"in":[6,27,34,76,142,191],"computer":[7],"vision":[8],"due":[9],"to":[10,55,65,72,144],"the":[11,32,57,67,109,117,127,147],"increasing":[12],"number":[13],"of":[14,60,98,111,124,130,177,193,195],"applications":[15],"such":[16],"as":[17,88,95,116],"augmented":[18],"reality":[19],"or":[20],"photo":[21],"album":[22],"management.":[23],"The":[24],"primary":[25],"challenge":[26],"this":[28],"arises":[30],"from":[31,42],"imperfections":[33],"image":[35,39],"feature":[36],"representations.":[37],"Given":[38],"features":[40],"extracted":[41],"an":[43,50,77,82,121,138,174],"existing":[44,159],"pre-trained":[45],"representation":[46],"model,":[47],"it":[48],"remains":[49],"unresolved":[51],"problem":[52],"that":[53,155],"how":[54],"leverage":[56],"inherent":[58],"characteristics":[59],"similarities":[61],"among":[62],"unlabelled":[63],"images":[64,131],"improve":[66],"performance.":[69],"In":[70],"order":[71],"solve":[73],"face":[74,93,105,171],"unsupervised":[78,186],"manner,":[79],"we":[80,91,136],"develop":[81,137],"effective":[83],"and":[84,161,181,187],"robust":[85],"framework":[86],"named":[87],"Adapt-Infomap.":[89],"First,":[90],"reformulate":[92],"process":[97],"non-overlapping":[99],"community":[100],"detection.":[101],"Specially,":[102],"Adapt-Infomap":[103,143,156],"achieves":[104,162],"by":[107],"minimizing":[108],"entropy":[110],"information":[112],"flows":[113],"(also":[114],"known":[115],"map":[118],"equation)":[119],"on":[120,165],"affinity":[122,128,148],"graph":[123,129],"images.":[125],"Since":[126],"might":[132],"contain":[133],"noisy":[134],"edges,":[135],"outlier":[139],"detection":[140],"strategy":[141],"adaptively":[145],"refine":[146],"graph.":[149],"Experiments":[150],"with":[151,184],"ablation":[152],"studies":[153],"demonstrate":[154],"significantly":[157],"outperforms":[158],"methods":[160,189],"new":[163],"state-of-the-arts":[164],"three":[166],"popular":[167],"large-scale":[168],"datasets":[169],"for":[170],"clustering,":[172],"e.g.,":[173],"absolute":[175],"improvement":[176],"more":[178],"than":[179],"10%":[180],"3%":[182],"comparing":[183],"prior":[185],"supervised":[188],"respectively":[190],"terms":[192],"average":[194],"Pairwise":[196],"F-score.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-26T13:28:51.108037","created_date":"2025-10-10T00:00:00"}
