{"id":"https://openalex.org/W3168233343","doi":"https://doi.org/10.1109/icme51207.2021.9428118","title":"Reference-Aided Part-Aligned Feature Disentangling for Video Person Re-Identification","display_name":"Reference-Aided Part-Aligned Feature Disentangling for Video Person Re-Identification","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3168233343","doi":"https://doi.org/10.1109/icme51207.2021.9428118","mag":"3168233343"},"language":"en","primary_location":{"id":"doi:10.1109/icme51207.2021.9428118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","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/A5074863605","display_name":"Guoqing Zhang","orcid":"https://orcid.org/0000-0002-8741-8607"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoqing Zhang","raw_affiliation_strings":["Nanjing University of Information Science and Technology,China","Nanjing University of Information Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology,China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Nanjing University of Information Science and Technology, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100321261","display_name":"Yuhao Chen","orcid":"https://orcid.org/0000-0001-6518-8890"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhao Chen","raw_affiliation_strings":["Nanjing University of Information Science and Technology,China","Nanjing University of Information Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology,China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Nanjing University of Information Science and Technology, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071603760","display_name":"Yang Dai","orcid":"https://orcid.org/0000-0003-1478-147X"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Dai","raw_affiliation_strings":["Nanjing University of Information Science and Technology,China","Nanjing University of Information Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology,China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Nanjing University of Information Science and Technology, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087119507","display_name":"Yuhui Zheng","orcid":"https://orcid.org/0000-0002-1709-3093"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Zheng","raw_affiliation_strings":["Nanjing University of Information Science and Technology,China","Nanjing University of Information Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science and Technology,China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Nanjing University of Information Science and Technology, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033774939","display_name":"Yi Wu","orcid":"https://orcid.org/0000-0002-9867-6898"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Wu","raw_affiliation_strings":["Wormpex AI Research"],"affiliations":[{"raw_affiliation_string":"Wormpex AI Research","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074863605"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":null,"apc_paid":null,"fwci":1.5538,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.84968176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.998199999332428,"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":0.9975000023841858,"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/discriminative-model","display_name":"Discriminative model","score":0.803205132484436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7948470115661621},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6678169369697571},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6670239567756653},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6026678085327148},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5923969745635986},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5773252248764038},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5590977668762207},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.48138049244880676},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44574087858200073},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.43942901492118835},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.433064341545105},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2288074493408203},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09699496626853943},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05345228314399719}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.803205132484436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7948470115661621},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6678169369697571},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6670239567756653},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6026678085327148},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5923969745635986},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5773252248764038},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5590977668762207},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.48138049244880676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44574087858200073},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.43942901492118835},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.433064341545105},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2288074493408203},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09699496626853943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05345228314399719},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/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/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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:10.1109/icme51207.2021.9428118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W760855798","https://openalex.org/W1596233070","https://openalex.org/W2463071499","https://openalex.org/W2520433280","https://openalex.org/W2622829582","https://openalex.org/W2736410039","https://openalex.org/W2740356834","https://openalex.org/W2769077043","https://openalex.org/W2795758732","https://openalex.org/W2800289127","https://openalex.org/W2900348361","https://openalex.org/W2916798096","https://openalex.org/W2931208564","https://openalex.org/W2963736028","https://openalex.org/W2963762690","https://openalex.org/W2963842104","https://openalex.org/W2997243220","https://openalex.org/W2997677148","https://openalex.org/W2997987796","https://openalex.org/W2998493658","https://openalex.org/W3005825439","https://openalex.org/W3031726557","https://openalex.org/W3034417718","https://openalex.org/W3034580371","https://openalex.org/W3099452143","https://openalex.org/W3100506510","https://openalex.org/W6747428963","https://openalex.org/W6750984223","https://openalex.org/W6770804717"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W2392100589","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2512789322","https://openalex.org/W2761785940","https://openalex.org/W2110523656"],"abstract_inverted_index":{"Recently,":[0],"video-based":[1],"person":[2,23],"re-identification":[3],"(re-ID)":[4],"has":[5],"drawn":[6],"increasing":[7],"attention":[8],"in":[9,43,61,105],"compute":[10],"vision":[11],"community":[12],"because":[13],"of":[14,34,57,96,103,132],"its":[15],"practical":[16],"application":[17],"prospects.":[18],"Due":[19],"to":[20,53,63,88],"the":[21,32,100,130,133],"inaccurate":[22],"detections":[24],"and":[25,37,110,126],"pose":[26],"changes,":[27],"pedestrian":[28,104],"misalignment":[29],"significantly":[30],"increases":[31],"difficulty":[33],"feature":[35,73,83,113],"extraction":[36],"matching.":[38],"To":[39],"address":[40],"this":[41,44],"problem,":[42],"paper,":[45],"we":[46],"propose":[47],"a":[48,70],"Reference-Aided":[49],"Part-Aligned":[50],"(RAPA)":[51],"framework":[52],"disentangle":[54],"robust":[55],"features":[56],"different":[58,68],"parts.":[59],"Firstly,":[60],"order":[62],"obtain":[64],"better":[65],"references":[66],"between":[67],"videos,":[69],"pose-based":[71],"reference":[72],"learning":[74],"module":[75,85],"is":[76,86,115],"introduced.":[77],"Secondly,":[78],"an":[79],"effective":[80],"relation-based":[81],"part":[82],"disentangling":[84],"explored":[87],"align":[89],"frames":[90],"within":[91],"each":[92],"video.":[93],"By":[94],"means":[95],"using":[97],"both":[98],"modules,":[99],"informative":[101],"parts":[102],"videos":[106],"are":[107],"well":[108],"aligned":[109],"more":[111],"discriminative":[112],"representation":[114],"generated.":[116],"Comprehensive":[117],"experiments":[118],"on":[119],"three":[120],"widely-used":[121],"benchmarks,":[122],"i.e.":[123],"iLIDS-VID,":[124],"PRID-2011":[125],"MARS":[127],"datasets":[128],"verify":[129],"effectiveness":[131],"proposed":[134],"framework.":[135],"Our":[136],"code":[137],"will":[138],"be":[139],"made":[140],"publicly":[141],"available.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}