{"id":"https://openalex.org/W4391559579","doi":"https://doi.org/10.1109/tpami.2024.3362401","title":"Learnable Graph Matching: A Practical Paradigm for Data Association","display_name":"Learnable Graph Matching: A Practical Paradigm for Data Association","publication_year":2024,"publication_date":"2024-02-06","ids":{"openalex":"https://openalex.org/W4391559579","doi":"https://doi.org/10.1109/tpami.2024.3362401","pmid":"https://pubmed.ncbi.nlm.nih.gov/38319774"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3362401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3362401","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5067361308","display_name":"Jiawei He","orcid":"https://orcid.org/0000-0001-6872-3254"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei He","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing (CRIPAC), State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6872-3254","affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing (CRIPAC), State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017829201","display_name":"Zehao Huang","orcid":"https://orcid.org/0000-0003-1653-208X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zehao Huang","raw_affiliation_strings":["Tusimple, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1653-208X","affiliations":[{"raw_affiliation_string":"Tusimple, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100742122","display_name":"Naiyan Wang","orcid":"https://orcid.org/0000-0002-0526-3331"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Naiyan Wang","raw_affiliation_strings":["Tusimple, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0526-3331","affiliations":[{"raw_affiliation_string":"Tusimple, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028016065","display_name":"Zhaoxiang Zhang","orcid":"https://orcid.org/0000-0003-2648-3875"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoxiang Zhang","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing (CRIPAC), State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China","Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences (HKISI_CAS), Hong Kong, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2648-3875","affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing (CRIPAC), State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"raw_affiliation_string":"Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences (HKISI_CAS), Hong Kong, China","institution_ids":[]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2495,"currency":"USD","value_usd":2495},"apc_paid":null,"fwci":1.3764,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79901882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"46","issue":"7","first_page":"4880","last_page":"4895"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998000264167786,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9998000264167786,"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/T11106","display_name":"Data Management and Algorithms","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.645409345626831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5624421834945679},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.5418553948402405},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.452690452337265},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4355350434780121},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.4124663770198822},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3787700831890106},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2734178900718689},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18396958708763123},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.09833040833473206}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.645409345626831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5624421834945679},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.5418553948402405},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.452690452337265},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4355350434780121},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4124663770198822},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3787700831890106},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2734178900718689},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18396958708763123},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.09833040833473206},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2024.3362401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3362401","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:38319774","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38319774","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5353429300","display_name":null,"funder_award_id":"U21B2042","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7317538059","display_name":null,"funder_award_id":"62072457","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":131,"referenced_works":["https://openalex.org/W1507964143","https://openalex.org/W1528063097","https://openalex.org/W1531192956","https://openalex.org/W1677409904","https://openalex.org/W1973926472","https://openalex.org/W1982925187","https://openalex.org/W2005433550","https://openalex.org/W2007352603","https://openalex.org/W2016135469","https://openalex.org/W2035153336","https://openalex.org/W2061344791","https://openalex.org/W2076080556","https://openalex.org/W2082716591","https://openalex.org/W2084512390","https://openalex.org/W2101544546","https://openalex.org/W2105934661","https://openalex.org/W2111644456","https://openalex.org/W2117228865","https://openalex.org/W2127923214","https://openalex.org/W2134905085","https://openalex.org/W2141822239","https://openalex.org/W2151103935","https://openalex.org/W2158634074","https://openalex.org/W2166820607","https://openalex.org/W2171243491","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2209193152","https://openalex.org/W2222512263","https://openalex.org/W2237765446","https://openalex.org/W2252355370","https://openalex.org/W2260975248","https://openalex.org/W2291627510","https://openalex.org/W2508815980","https://openalex.org/W2511791013","https://openalex.org/W2529709694","https://openalex.org/W2533007775","https://openalex.org/W2565639579","https://openalex.org/W2566265240","https://openalex.org/W2579024533","https://openalex.org/W2584162521","https://openalex.org/W2594519801","https://openalex.org/W2603203130","https://openalex.org/W2754925132","https://openalex.org/W2796676459","https://openalex.org/W2799132636","https://openalex.org/W2895150009","https://openalex.org/W2920942303","https://openalex.org/W2931335216","https://openalex.org/W2950832586","https://openalex.org/W2961663897","https://openalex.org/W2962803115","https://openalex.org/W2962941647","https://openalex.org/W2963351448","https://openalex.org/W2963674285","https://openalex.org/W2964015640","https://openalex.org/W2979458572","https://openalex.org/W2980534187","https://openalex.org/W2981393651","https://openalex.org/W2981685844","https://openalex.org/W2981995220","https://openalex.org/W2983178467","https://openalex.org/W2990655570","https://openalex.org/W3010309142","https://openalex.org/W3012922853","https://openalex.org/W3027919498","https://openalex.org/W3034240185","https://openalex.org/W3034275286","https://openalex.org/W3034295752","https://openalex.org/W3034679090","https://openalex.org/W3034739212","https://openalex.org/W3035442500","https://openalex.org/W3035649237","https://openalex.org/W3035727180","https://openalex.org/W3043075211","https://openalex.org/W3084173793","https://openalex.org/W3086436251","https://openalex.org/W3094000868","https://openalex.org/W3095753995","https://openalex.org/W3096068180","https://openalex.org/W3099598823","https://openalex.org/W3104218139","https://openalex.org/W3104778224","https://openalex.org/W3113093028","https://openalex.org/W3115390238","https://openalex.org/W3121235808","https://openalex.org/W3149936330","https://openalex.org/W3164698655","https://openalex.org/W3165926952","https://openalex.org/W3166285241","https://openalex.org/W3166855724","https://openalex.org/W3167949052","https://openalex.org/W3173878319","https://openalex.org/W3174101598","https://openalex.org/W3174690341","https://openalex.org/W3175455177","https://openalex.org/W3176403636","https://openalex.org/W3176704045","https://openalex.org/W3184439416","https://openalex.org/W3185016686","https://openalex.org/W3187867541","https://openalex.org/W3204488436","https://openalex.org/W3207452968","https://openalex.org/W4205537101","https://openalex.org/W4210969688","https://openalex.org/W4214516362","https://openalex.org/W4226373316","https://openalex.org/W4286904999","https://openalex.org/W4287657926","https://openalex.org/W4297825594","https://openalex.org/W4310467366","https://openalex.org/W4312473433","https://openalex.org/W6631190155","https://openalex.org/W6696497002","https://openalex.org/W6696672603","https://openalex.org/W6712925784","https://openalex.org/W6734122017","https://openalex.org/W6750493765","https://openalex.org/W6766092233","https://openalex.org/W6766978945","https://openalex.org/W6767019538","https://openalex.org/W6771371286","https://openalex.org/W6775253321","https://openalex.org/W6779650541","https://openalex.org/W6780017182","https://openalex.org/W6784607962","https://openalex.org/W6785303585","https://openalex.org/W6788023325","https://openalex.org/W6798838024","https://openalex.org/W6799133303","https://openalex.org/W6810521590"],"related_works":["https://openalex.org/W2352440174","https://openalex.org/W4309440960","https://openalex.org/W1967562786","https://openalex.org/W2062168445","https://openalex.org/W2389084676","https://openalex.org/W1998764991","https://openalex.org/W2352562594","https://openalex.org/W2031358465","https://openalex.org/W2375117482","https://openalex.org/W286567303"],"abstract_inverted_index":{"Data":[0],"association":[1,24,41,93],"is":[2],"at":[3],"the":[4,32,50,84,111],"core":[5],"of":[6,52],"many":[7],"computer":[8],"vision":[9],"tasks,":[10],"e.g.,":[11],"multiple":[12],"object":[13],"tracking,":[14],"image":[15,150],"matching,":[16,151],"and":[17,47,120,133],"point":[18,164],"cloud":[19,165],"registration.":[20],"however,":[21],"current":[22],"data":[23,92],"solutions":[25],"have":[26],"some":[27],"defects:":[28],"they":[29,37],"mostly":[30],"ignore":[31],"intra-view":[33,85],"context":[34],"information;":[35],"besides,":[36],"either":[38],"train":[39],"deep":[40,126],"models":[42],"in":[43],"an":[44,59,88],"end-to-end":[45,107],"way":[46],"hardly":[48],"utilize":[49],"advantage":[51],"optimization-based":[53],"assignment":[54],"methods,":[55],"or":[56],"only":[57],"use":[58],"off-the-shelf":[60],"neural":[61,128],"network":[62,129],"to":[63,77,104],"extract":[64],"features.":[65],"In":[66,137],"this":[67],"paper,":[68],"we":[69,82,109,167],"propose":[70],"a":[71,96,125,158],"general":[72,97],"learnable":[73],"graph":[74,98,113,127],"matching":[75,99,114],"method":[76,141,153],"address":[78],"these":[79],"issues.":[80],"Especially,":[81],"model":[83],"relationships":[86],"as":[87],"undirected":[89],"graph.":[90],"Then":[91],"turns":[94],"into":[95,116,124],"problem":[100,115],"between":[101],"graphs.":[102],"Furthermore,":[103],"make":[105],"optimization":[106],"differentiable,":[108],"relax":[110],"original":[112],"continuous":[117],"quadratic":[118],"programming":[119],"then":[121],"incorporate":[122],"training":[123],"with":[130],"KKT":[131],"conditions":[132],"implicit":[134],"function":[135],"theorem.":[136],"MOT":[138,147],"task,":[139],"our":[140,152],"achieves":[142],"state-of-the-art":[143,155],"performance":[144],"on":[145,157],"several":[146],"datasets.":[148],"For":[149,163],"outperforms":[154],"methods":[156],"popular":[159],"indoor":[160],"dataset,":[161],"ScanNet.":[162],"registration,":[166],"also":[168],"achieve":[169],"competitive":[170],"results.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
