{"id":"https://openalex.org/W4394586197","doi":"https://doi.org/10.1109/mis.2024.3385381","title":"Edge-Weight-Embedding Graph Convolutional Network for Person Reidentification","display_name":"Edge-Weight-Embedding Graph Convolutional Network for Person Reidentification","publication_year":2024,"publication_date":"2024-04-08","ids":{"openalex":"https://openalex.org/W4394586197","doi":"https://doi.org/10.1109/mis.2024.3385381"},"language":"en","primary_location":{"id":"doi:10.1109/mis.2024.3385381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mis.2024.3385381","pdf_url":null,"source":{"id":"https://openalex.org/S114241109","display_name":"IEEE Intelligent Systems","issn_l":"1541-1672","issn":["1541-1672","1941-1294"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Intelligent Systems","raw_type":"journal-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/A5091224879","display_name":"Yuanhai Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]},{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanhai Lv","raw_affiliation_strings":["Northwestern University, Xi’an, China","School of Information Science and Technology, Northwest University, Xi'an, China","Information Network Center, Xi'an University of Posts and Telecommunications, Xi'an, China"],"raw_orcid":"https://orcid.org/0009-0003-4375-7863","affiliations":[{"raw_affiliation_string":"Northwestern University, Xi’an, China","institution_ids":["https://openalex.org/I37802460"]},{"raw_affiliation_string":"School of Information Science and Technology, Northwest University, Xi'an, China","institution_ids":["https://openalex.org/I37802460"]},{"raw_affiliation_string":"Information Network Center, Xi'an University of Posts and Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109703069","display_name":"Gexuan Wang","orcid":"https://orcid.org/0000-0001-5358-3228"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gexuan Wang","raw_affiliation_strings":["Northwestern University, Xi’an, China","School of Information Science and Technology, Northwest University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-5358-3228","affiliations":[{"raw_affiliation_string":"Northwestern University, Xi’an, China","institution_ids":["https://openalex.org/I37802460"]},{"raw_affiliation_string":"School of Information Science and Technology, Northwest University, Xi'an, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066572238","display_name":"Wanqing Zhao","orcid":"https://orcid.org/0000-0001-7622-0665"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanqing Zhao","raw_affiliation_strings":["Northwestern University, Xi’an, China","Xidian University, Xi’an, China","School of Information Science and Technology, Northwest University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-7622-0665","affiliations":[{"raw_affiliation_string":"Northwestern University, Xi’an, China","institution_ids":["https://openalex.org/I37802460"]},{"raw_affiliation_string":"Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Information Science and Technology, Northwest University, Xi'an, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066877556","display_name":"Wei Zhao","orcid":"https://orcid.org/0000-0002-0622-9258"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhao","raw_affiliation_strings":["Northwestern University, Xi’an, China","Xidian University, Xi’an, China","School of Computer Science and Technology, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-9767-1323","affiliations":[{"raw_affiliation_string":"Northwestern University, Xi’an, China","institution_ids":["https://openalex.org/I37802460"]},{"raw_affiliation_string":"Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065194313","display_name":"Ziyu Guan","orcid":"https://orcid.org/0000-0003-2413-4698"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyu Guan","raw_affiliation_strings":["Northwestern University, Xi’an, China","School of Information Science and Technology, Northwest University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-2413-4698","affiliations":[{"raw_affiliation_string":"Northwestern University, Xi’an, China","institution_ids":["https://openalex.org/I37802460"]},{"raw_affiliation_string":"School of Information Science and Technology, Northwest University, Xi'an, China","institution_ids":["https://openalex.org/I37802460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5091224879"],"corresponding_institution_ids":["https://openalex.org/I37802460","https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.2381,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46138916,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"39","issue":"4","first_page":"74","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9993000030517578,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8255610466003418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6384415626525879},{"id":"https://openalex.org/keywords/human-skeleton","display_name":"Human skeleton","score":0.6329371333122253},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5707666873931885},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5615524649620056},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.5385236740112305},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5327619910240173},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5259145498275757},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5202706456184387},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.5164383053779602},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4962511658668518},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.494672030210495},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4702904224395752},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43903791904449463},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.15726888179779053},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10166040062904358}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8255610466003418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6384415626525879},{"id":"https://openalex.org/C2777846634","wikidata":"https://www.wikidata.org/wiki/Q9621","display_name":"Human skeleton","level":2,"score":0.6329371333122253},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5707666873931885},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5615524649620056},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.5385236740112305},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5327619910240173},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5259145498275757},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5202706456184387},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.5164383053779602},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4962511658668518},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.494672030210495},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4702904224395752},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43903791904449463},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.15726888179779053},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10166040062904358},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mis.2024.3385381","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mis.2024.3385381","pdf_url":null,"source":{"id":"https://openalex.org/S114241109","display_name":"IEEE Intelligent Systems","issn_l":"1541-1672","issn":["1541-1672","1941-1294"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2930858977","display_name":null,"funder_award_id":"62103314","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3083892850","display_name":null,"funder_award_id":"61876145","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4230411568","display_name":null,"funder_award_id":"62273275","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5889316065","display_name":null,"funder_award_id":"61876144","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7071169373","display_name":null,"funder_award_id":"61936006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7747090252","display_name":null,"funder_award_id":"2020M683695XB","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7845548769","display_name":null,"funder_award_id":"62073255","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8746616028","display_name":null,"funder_award_id":"62133012","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2559085405","https://openalex.org/W2736410039","https://openalex.org/W2798429327","https://openalex.org/W2883638665","https://openalex.org/W2962691289","https://openalex.org/W2963219847","https://openalex.org/W2963637710","https://openalex.org/W2963842104","https://openalex.org/W2964163358","https://openalex.org/W2964186374","https://openalex.org/W2964304299","https://openalex.org/W2971765950","https://openalex.org/W3097537783","https://openalex.org/W3174822420","https://openalex.org/W3195983806","https://openalex.org/W3209772048","https://openalex.org/W3210807744","https://openalex.org/W4285727514","https://openalex.org/W4304996641","https://openalex.org/W4320526212","https://openalex.org/W6765678951"],"related_works":["https://openalex.org/W2953562271","https://openalex.org/W4213150077","https://openalex.org/W1979723775","https://openalex.org/W2369410163","https://openalex.org/W2126881935","https://openalex.org/W2059018062","https://openalex.org/W2604585036","https://openalex.org/W4312993112","https://openalex.org/W3209135759","https://openalex.org/W2347221702"],"abstract_inverted_index":{"Person":[0],"Re-identification":[1],"(Re-ID)":[2],"aims":[3],"to":[4,29],"accurately":[5],"identify":[6],"the":[7,34,44,50,54,63,69,99,115,125,129],"same":[8],"person":[9,24],"in":[10,32,62],"images":[11],"from":[12],"a":[13,78,89,107,135],"large":[14],"dataset":[15],"captured":[16],"by":[17,124,139],"non-overlapping":[18],"cameras.":[19],"Recently,":[20],"local-scale":[21],"features":[22],"of":[23,36,53,128],"representation":[25,109],"have":[26,42],"been":[27],"shown":[28],"be":[30,76],"effective":[31],"improving":[33],"performance":[35],"Re-ID.":[37,83,111],"However,":[38],"most":[39],"previous":[40],"methods":[41],"overlooked":[43],"inherent":[45,60],"and":[46,104,120,132,158],"potential":[47],"relationships":[48,100,116],"among":[49],"joint":[51],"parts":[52],"human":[55,64,102,118,130],"skeleton":[56,65,131],"structure.":[57],"There":[58],"are":[59,122],"differences":[61],"structure,":[66],"such":[67],"as":[68],"bone":[70],"length":[71],"between":[72,101,117],"joints,":[73],"which":[74],"can":[75],"considered":[77],"highly":[79],"distinguishable":[80],"feature":[81],"for":[82,110],"To":[84],"address":[85],"this,":[86],"we":[87],"propose":[88],"novel":[90],"graph":[91],"convolutional":[92],"network":[93],"(GCN)":[94],"based":[95],"method":[96,148],"that":[97],"embeds":[98],"joints":[103,119],"bones":[105,121],"into":[106,134],"high-level":[108],"In":[112],"our":[113],"method,":[114],"represented":[123],"biological":[126],"information":[127],"encoded":[133],"learned":[136],"adjacency":[137],"matrix":[138],"an":[140],"Edge":[141],"Score":[142],"Predictor":[143],"(ESP)":[144],"module.":[145],"Our":[146],"proposed":[147],"achieves":[149],"competitive":[150],"results":[151],"on":[152],"several":[153],"benchmark":[154],"datasets":[155],"(Market1501,":[156],"DukeMTMC-ReID,":[157],"CUHK03),":[159],"demonstrating":[160],"its":[161],"effectiveness.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}