{"id":"https://openalex.org/W3105159632","doi":"https://doi.org/10.1109/tcsvt.2020.3037179","title":"Attention-Aligned Network for Person Re-Identification","display_name":"Attention-Aligned Network for Person Re-Identification","publication_year":2020,"publication_date":"2020-11-10","ids":{"openalex":"https://openalex.org/W3105159632","doi":"https://doi.org/10.1109/tcsvt.2020.3037179","mag":"3105159632"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2020.3037179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.3037179","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Transactions on Circuits and Systems for Video Technology","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/A5006676654","display_name":"Sicheng Lian","orcid":"https://orcid.org/0000-0001-9387-0897"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sicheng Lian","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9387-0897","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042991224","display_name":"Weitao Jiang","orcid":"https://orcid.org/0000-0002-7168-9357"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weitao Jiang","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056953478","display_name":"Haifeng Hu","orcid":"https://orcid.org/0000-0002-4884-323X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Hu","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4884-323X","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":3.0347,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.93059853,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"31","issue":"8","first_page":"3140","last_page":"3153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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":0.9947999715805054,"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":0.9919000267982483,"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":0.8565372228622437},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7951974868774414},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7469609379768372},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6115618348121643},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.480448454618454},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4749474823474884},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4653379023075104},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.45682835578918457},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4485734701156616},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.41184690594673157},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3957611620426178},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38965359330177307}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8565372228622437},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7951974868774414},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7469609379768372},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6115618348121643},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.480448454618454},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4749474823474884},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4653379023075104},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.45682835578918457},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4485734701156616},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.41184690594673157},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3957611620426178},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38965359330177307},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2020.3037179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.3037179","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4228998522","display_name":null,"funder_award_id":"2017A030311029","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G5355820501","display_name":"\u4eba\u8138\u56fe\u50cf\u7279\u5f81\u62bd\u53d6\u53ca\u5206\u7c7b\u5668\u8bbe\u8ba1\u82e5\u5e72\u95ee\u9898\u7814\u7a76","funder_award_id":"60802069","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5678804896","display_name":null,"funder_award_id":"61673402","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G709867051","display_name":null,"funder_award_id":"61273270","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8307738215","display_name":null,"funder_award_id":"62076262","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/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1971955426","https://openalex.org/W1982925187","https://openalex.org/W2064675550","https://openalex.org/W2183341477","https://openalex.org/W2204750386","https://openalex.org/W2295107390","https://openalex.org/W2307770531","https://openalex.org/W2412393473","https://openalex.org/W2460852148","https://openalex.org/W2511791013","https://openalex.org/W2550553598","https://openalex.org/W2551012455","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2604134068","https://openalex.org/W2606377603","https://openalex.org/W2752782242","https://openalex.org/W2765268259","https://openalex.org/W2765995039","https://openalex.org/W2768610172","https://openalex.org/W2769346661","https://openalex.org/W2798794112","https://openalex.org/W2798874329","https://openalex.org/W2799047769","https://openalex.org/W2804236575","https://openalex.org/W2896888563","https://openalex.org/W2949865801","https://openalex.org/W2962691289","https://openalex.org/W2962706983","https://openalex.org/W2962926870","https://openalex.org/W2962928529","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2963736028","https://openalex.org/W2963805953","https://openalex.org/W2963811535","https://openalex.org/W2963842104","https://openalex.org/W2963910742","https://openalex.org/W2963917086","https://openalex.org/W2963988212","https://openalex.org/W2964140013","https://openalex.org/W2964344300","https://openalex.org/W2980337913","https://openalex.org/W2981420411","https://openalex.org/W2998493658","https://openalex.org/W3009734829","https://openalex.org/W3034580371","https://openalex.org/W3035186652","https://openalex.org/W3047312295","https://openalex.org/W3098420177","https://openalex.org/W3124951096","https://openalex.org/W6697925102","https://openalex.org/W6715144786","https://openalex.org/W6735649984","https://openalex.org/W6746255304","https://openalex.org/W6758068992"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W3119773509","https://openalex.org/W3208297503","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353"],"abstract_inverted_index":{"Currently,":[0],"attention":[1,31,46,51,119,123],"mechanism":[2],"receives":[3],"enormous":[4],"interest":[5],"and":[6,48,92,120,134,137,171],"has":[7],"been":[8],"extensively":[9],"employed":[10],"in":[11,23,79,176],"the":[12,76,129,160,168,173,188],"fields":[13],"of":[14,52,131,142],"Person":[15],"Re-Identification":[16],"(RE-ID),":[17],"as":[18],"it":[19],"gains":[20],"superior":[21],"performance":[22],"learning":[24,162],"discriminative":[25],"feature":[26,161],"representations.":[27],"However,":[28],"most":[29,192],"off-the-shelf":[30],"methods":[32,194],"are":[33,100,182],"still":[34],"vulnerable":[35],"to":[36,57,74,102,115,158,185],"cross-view":[37],"inconsistency":[38],"problem.":[39],"Besides,":[40],"they":[41],"merely":[42],"exploit":[43,116],"imprecise":[44],"channel":[45,122],"information":[47],"coarse-grained":[49],"spatial":[50,118],"homogeneous":[53],"scales,":[54],"being":[55],"insufficient":[56],"capture":[58],"subtle":[59],"differences":[60],"among":[61],"highly-similar":[62],"individuals.":[63],"To":[64],"this":[65],"end,":[66],"we":[67],"propose":[68],"a":[69,81],"novel":[70,82],"Attention-Aligned":[71],"Network":[72],"(AANet)":[73],"address":[75],"aforementioned":[77],"problems,":[78],"which":[80,164],"Omnibearing":[83],"Foreground-aware":[84],"Attention":[85,88],"(OFA)":[86],"module,":[87],"Alignment":[89],"Mechanism":[90],"(AAM)":[91],"an":[93,148],"improved":[94,149],"triplet":[95,150,178],"loss":[96,151],"with":[97,152],"hard":[98,153],"mining":[99,154],"proposed":[101,189],"learn":[103],"foreground":[104],"attentive":[105],"features":[106],"for":[107],"RE-ID.":[108],"Specifically,":[109],"AANet":[110,126],"firstly":[111],"leverages":[112],"OFA":[113],"module":[114],"heterogeneous-scale":[117],"foreground-aware":[121],"information.":[124],"Then":[125],"further":[127],"reduces":[128],"impact":[130],"background":[132],"clutter":[133],"learns":[135],"camera-invariant":[136],"background-invariant":[138],"representations":[139],"by":[140],"virtue":[141],"AAM.":[143],"Last":[144],"but":[145],"not":[146],"least,":[147],"is":[155],"also":[156],"introduced":[157],"enhance":[159],"capability,":[163],"can":[165],"jointly":[166],"minimize":[167],"intra-class":[169],"distance":[170,175],"maximize":[172],"inter-class":[174],"each":[177],"unit.":[179],"Extensive":[180],"experiments":[181],"carried":[183],"out":[184],"demonstrate":[186],"that":[187],"method":[190],"outperforms":[191],"current":[193],"on":[195],"three":[196],"main":[197],"RE-ID":[198],"benchmarks.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
