{"id":"https://openalex.org/W4387968141","doi":"https://doi.org/10.1145/3581783.3611951","title":"DealMVC: Dual Contrastive Calibration for Multi-view Clustering","display_name":"DealMVC: Dual Contrastive Calibration for Multi-view Clustering","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387968141","doi":"https://doi.org/10.1145/3581783.3611951"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3611951","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3611951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","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/A5103088081","display_name":"Xihong Yang","orcid":"https://orcid.org/0000-0002-3260-869X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xihong Yang","raw_affiliation_strings":["National University of Defense Technology, Chang sha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Chang sha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101875008","display_name":"Jiaqi Jin","orcid":"https://orcid.org/0009-0000-0510-4472"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Jiaqi","raw_affiliation_strings":["National University of Defense Technology, Chang sha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Chang sha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100656645","display_name":"Siwei Wang","orcid":"https://orcid.org/0000-0001-9517-262X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Siwei Wang","raw_affiliation_strings":["Intelligent Game and Decision Lab, Bei jing, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Game and Decision Lab, Bei jing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009525613","display_name":"Ke Liang","orcid":"https://orcid.org/0000-0002-4837-455X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Liang","raw_affiliation_strings":["National University of Defense Technology, Chang sha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Chang sha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320103","display_name":"Yue Liu","orcid":"https://orcid.org/0000-0002-9894-0062"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Liu","raw_affiliation_strings":["National University of Defense Technology, Chang sha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Chang sha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100666914","display_name":"Yi Wen","orcid":"https://orcid.org/0000-0002-5924-1429"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wen","raw_affiliation_strings":["National University of Defense Technology, Chang sha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Chang sha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102760584","display_name":"Suyuan Liu","orcid":"https://orcid.org/0000-0003-1481-5393"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Suyuan Liu","raw_affiliation_strings":["National University of Defense Technology, Chang sha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Chang sha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032131582","display_name":"Sihang Zhou","orcid":"https://orcid.org/0000-0003-1491-4594"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sihang Zhou","raw_affiliation_strings":["National University of Defense Technology, Chang sha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Chang sha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101727888","display_name":"Xinwang Liu","orcid":"https://orcid.org/0000-0001-9066-1475"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwang Liu","raw_affiliation_strings":["National University of Defense Technology, Chang sha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Chang sha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069681054","display_name":"En Zhu","orcid":"https://orcid.org/0000-0003-2305-7555"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"En Zhu","raw_affiliation_strings":["National University of Defense Technology, Chang sha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Chang sha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5103088081"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":12.4566,"has_fulltext":false,"cited_by_count":105,"citation_normalized_percentile":{"value":0.99180574,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"337","last_page":"346"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.996999979019165,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.996999979019165,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9887999892234802,"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":0.789696216583252},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7227542996406555},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.625458836555481},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6086812615394592},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5530441999435425},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5004196166992188},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4989631175994873},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4958828389644623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49069011211395264},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4159417450428009},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3936966061592102},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34051603078842163},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.21544373035430908},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13002386689186096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.789696216583252},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7227542996406555},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.625458836555481},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6086812615394592},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5530441999435425},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5004196166992188},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4989631175994873},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4958828389644623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49069011211395264},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4159417450428009},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3936966061592102},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34051603078842163},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.21544373035430908},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13002386689186096},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3611951","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3611951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.41999998688697815,"display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2455478723","display_name":null,"funder_award_id":"62276271","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5729763073","display_name":null,"funder_award_id":"62325604","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":51,"referenced_works":["https://openalex.org/W1505878979","https://openalex.org/W1907775068","https://openalex.org/W2187089797","https://openalex.org/W2405459681","https://openalex.org/W2605146283","https://openalex.org/W2786585376","https://openalex.org/W2953072908","https://openalex.org/W2954752948","https://openalex.org/W2963764569","https://openalex.org/W2966840649","https://openalex.org/W2970354123","https://openalex.org/W2996771119","https://openalex.org/W3004970274","https://openalex.org/W3008561560","https://openalex.org/W3023700315","https://openalex.org/W3035524453","https://openalex.org/W3035663159","https://openalex.org/W3044096495","https://openalex.org/W3092078817","https://openalex.org/W3099677434","https://openalex.org/W3108655343","https://openalex.org/W3165231040","https://openalex.org/W3169978599","https://openalex.org/W3173513735","https://openalex.org/W3173972271","https://openalex.org/W3190486510","https://openalex.org/W3203289427","https://openalex.org/W3205512245","https://openalex.org/W3205655893","https://openalex.org/W3217558487","https://openalex.org/W4200226646","https://openalex.org/W4220681850","https://openalex.org/W4221152131","https://openalex.org/W4226219101","https://openalex.org/W4281782564","https://openalex.org/W4283792797","https://openalex.org/W4283806925","https://openalex.org/W4287891019","https://openalex.org/W4304098891","https://openalex.org/W4304099318","https://openalex.org/W4312311075","https://openalex.org/W4312574624","https://openalex.org/W4312881178","https://openalex.org/W4312949694","https://openalex.org/W4312973985","https://openalex.org/W4313138032","https://openalex.org/W4323338305","https://openalex.org/W4375801803","https://openalex.org/W4382203265","https://openalex.org/W4382318469","https://openalex.org/W4382466430"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W4230315250","https://openalex.org/W2086519370","https://openalex.org/W2087343574"],"abstract_inverted_index":{"Benefiting":[0],"from":[1,30,180],"the":[2,22,27,40,43,51,100,106,113,127,153,156,175,188,197],"strong":[3],"view-consistent":[4],"information":[5],"mining":[6],"capacity,":[7],"multi-view":[8,35,116],"contrastive":[9,70,93,122],"clustering":[10,28],"has":[11],"attracted":[12],"plenty":[13],"of":[14,42,53,115,129,187,192,199],"attention":[15],"in":[16,46,58,149],"recent":[17],"years.":[18],"However,":[19],"we":[20,65,78,118],"observe":[21],"following":[23],"drawback,":[24],"which":[25],"limits":[26],"performance":[29],"further":[31],"improvement.":[32],"The":[33,133],"existing":[34],"models":[36],"mainly":[37],"focus":[38],"on":[39,203],"consistency":[41,128],"same":[44],"samples":[45,57,145],"different":[47,56,150],"views":[48],"while":[49],"ignoring":[50],"circumstance":[52],"similar":[54,144,147],"but":[55],"cross-view":[59,88,158],"scenarios.":[60],"To":[61],"solve":[62],"this":[63],"problem,":[64],"propose":[66,119],"a":[67,81,86,91,120],"novel":[68],"Dual":[69],"calibration":[71,94,123],"network":[72],"for":[73],"Multi-View":[74],"Clustering":[75],"(DealMVC).":[76],"Specifically,":[77],"first":[79],"design":[80],"fusion":[82],"mechanism":[83],"to":[84,111,125],"obtain":[85],"global":[87,92,167],"feature.":[89],"Then,":[90],"loss":[95,124],"is":[96,136,160],"proposed":[97],"by":[98,138],"aligning":[99],"view":[101,131],"feature":[102,134,159],"similarity":[103],"graph":[104],"and":[105,166,190],"high-confidence":[107],"pseudo-label":[108],"graph.":[109],"Moreover,":[110],"utilize":[112],"diversity":[114],"information,":[117,141],"local":[121,165],"constrain":[126],"pair-wise":[130],"features.":[132],"structure":[135],"regularized":[137],"reliable":[139],"class":[140],"thus":[142],"guaranteeing":[143],"have":[146],"features":[148],"views.":[151],"During":[152],"training":[154],"procedure,":[155],"interacted":[157],"jointly":[161],"optimized":[162],"at":[163,201],"both":[164],"levels.":[168],"In":[169],"comparison":[170],"with":[171],"other":[172],"state-of-the-art":[173],"approaches,":[174],"comprehensive":[176],"experimental":[177],"results":[178],"obtained":[179],"eight":[181],"benchmark":[182],"datasets":[183],"provide":[184],"substantial":[185],"validation":[186],"effectiveness":[189],"superiority":[191],"our":[193],"algorithm.":[194],"We":[195],"release":[196],"code":[198],"DealMVC":[200],"https://github.com/xihongyang1999/DealMVC":[202],"GitHub.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":56},{"year":2024,"cited_by_count":40}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}