{"id":"https://openalex.org/W3093418233","doi":"https://doi.org/10.1145/3394171.3413607","title":"A Structured Graph Attention Network for Vehicle Re-Identification","display_name":"A Structured Graph Attention Network for Vehicle Re-Identification","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3093418233","doi":"https://doi.org/10.1145/3394171.3413607","mag":"3093418233"},"language":"en","primary_location":{"id":"doi:10.1145/3394171.3413607","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th 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/A5028136361","display_name":"Yangchun Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yangchun Zhu","raw_affiliation_strings":["University of Science and Technology of China, HeFei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, HeFei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003217535","display_name":"Zheng-Jun Zha","orcid":"https://orcid.org/0000-0003-2510-8993"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng-Jun Zha","raw_affiliation_strings":["University of Science and Technology of China, HeFei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, HeFei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648981","display_name":"Tianzhu Zhang","orcid":"https://orcid.org/0000-0003-1856-9564"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianzhu Zhang","raw_affiliation_strings":["University of Science and Technology of China, HeFei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, HeFei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107933120","display_name":"Jiawei Liu","orcid":"https://orcid.org/0000-0002-6100-4000"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Liu","raw_affiliation_strings":["University of Science and Technology of China, HeFei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, HeFei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055469774","display_name":"Jiebo Luo","orcid":"https://orcid.org/0000-0002-4516-9729"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiebo Luo","raw_affiliation_strings":["University of Rochester, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5028136361"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":2.9446,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.92750753,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"646","last_page":"654"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9980999827384949,"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":0.9962000250816345,"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/discriminative-model","display_name":"Discriminative model","score":0.7749783992767334},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7685169577598572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7528715133666992},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6070545315742493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5331693291664124},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5161134004592896},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4762668311595917},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46655982732772827},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3985109031200409},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36708080768585205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3469606041908264},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10562333464622498},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07870316505432129}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7749783992767334},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7685169577598572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7528715133666992},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6070545315742493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5331693291664124},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5161134004592896},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4762668311595917},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46655982732772827},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3985109031200409},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36708080768585205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3469606041908264},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10562333464622498},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07870316505432129},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394171.3413607","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1979387426","https://openalex.org/W2108196201","https://openalex.org/W2112738128","https://openalex.org/W2293561010","https://openalex.org/W2468907370","https://openalex.org/W2519904008","https://openalex.org/W2581887665","https://openalex.org/W2598634450","https://openalex.org/W2756012011","https://openalex.org/W2789546350","https://openalex.org/W2802810579","https://openalex.org/W2806331055","https://openalex.org/W2808877322","https://openalex.org/W2887057599","https://openalex.org/W2894016331","https://openalex.org/W2912152775","https://openalex.org/W2919317477","https://openalex.org/W2961288714","https://openalex.org/W2963148311","https://openalex.org/W2963200533","https://openalex.org/W2963925503","https://openalex.org/W2979750740","https://openalex.org/W2983188006","https://openalex.org/W3005530336","https://openalex.org/W3206507930","https://openalex.org/W6600062020","https://openalex.org/W6602670149"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Vehicle":[0],"re-identification":[1,153],"aims":[2],"to":[3,66,82,92,128,143],"identify":[4],"the":[5,39,52,89,94,115,119,140,169],"same":[6],"vehicle":[7,69,152],"across":[8],"different":[9],"surveillance":[10],"cameras":[11],"and":[12,60,87,157],"plays":[13],"an":[14,30,47,109,134],"important":[15],"role":[16],"in":[17],"public":[18,151],"security.":[19],"Existing":[20],"approaches":[21],"mainly":[22],"focus":[23],"on":[24,114,149],"exploring":[25],"informative":[26],"regions":[27,45],"or":[28],"learning":[29,67],"appropriate":[31],"distance":[32],"metric.":[33],"However,":[34],"they":[35],"not":[36],"only":[37],"neglect":[38],"inherent":[40,59,110],"structured":[41,54,62,111,136],"relationship":[42,55,117],"between":[43,118],"discriminative":[44],"within":[46],"image,":[48],"but":[49],"also":[50],"ignore":[51],"extrinsic":[53,61,135],"among":[56],"images.":[57],"The":[58,131],"relationships":[63,86],"are":[64],"crucial":[65],"effective":[68],"representation.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74],"propose":[75],"a":[76],"Structured":[77],"Graph":[78],"ATtention":[79],"network":[80],"(SGAT)":[81],"fully":[83],"exploit":[84],"these":[85],"allow":[88],"message":[90],"propagation":[91],"update":[93,144],"features":[95,124],"of":[96,125],"graph":[97,112,137],"nodes.":[98],"SGAT":[99],"creates":[100],"two":[101,150],"graphs":[102],"for":[103],"one":[104],"probe":[105],"image.":[106],"One":[107],"is":[108,133],"based":[113],"geometric":[116],"landmarks":[120],"that":[121,161],"can":[122],"use":[123],"their":[126],"neighbors":[127],"enhance":[129],"themselves.":[130],"other":[132],"guided":[138],"by":[139],"attribute":[141],"similarity":[142],"image":[145],"representations.":[146],"Experimental":[147],"results":[148],"datasets":[154],"including":[155],"VeRi-776":[156],"VehicleID":[158],"have":[159],"shown":[160],"our":[162],"proposed":[163],"method":[164],"achieves":[165],"significant":[166],"improvements":[167],"over":[168],"state-of-the-art":[170],"methods.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}