{"id":"https://openalex.org/W4280641521","doi":"https://doi.org/10.1142/s0218001422500112","title":"Attribute-Guided Global and Part-Level Identity Network for Person Re-Identification","display_name":"Attribute-Guided Global and Part-Level Identity Network for Person Re-Identification","publication_year":2022,"publication_date":"2022-05-12","ids":{"openalex":"https://openalex.org/W4280641521","doi":"https://doi.org/10.1142/s0218001422500112"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001422500112","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422500112","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5049671371","display_name":"Shaoming Pan","orcid":"https://orcid.org/0000-0001-6789-3876"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoming Pan","raw_affiliation_strings":["Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, 129 Luoyu Road, Wuhan 430079, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, 129 Luoyu Road, Wuhan 430079, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000751701","display_name":"Wenqiang Feng","orcid":"https://orcid.org/0000-0002-7885-4343"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqiang Feng","raw_affiliation_strings":["Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, 129 Luoyu Road, Wuhan 430079, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, 129 Luoyu Road, Wuhan 430079, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036258937","display_name":"Yanwen Chong","orcid":"https://orcid.org/0000-0002-7944-8515"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanwen Chong","raw_affiliation_strings":["Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, 129 Luoyu Road, Wuhan 430079, P.\u00a0R.\u00a0China"],"affiliations":[{"raw_affiliation_string":"Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, 129 Luoyu Road, Wuhan 430079, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036258937"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"],"apc_list":null,"apc_paid":null,"fwci":0.4026,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58036862,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"36","issue":"08","first_page":null,"last_page":null},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9962000250816345,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9945999979972839,"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":0.785211443901062},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.6795687675476074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6292452216148376},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6259210109710693},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5566968321800232},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5455619096755981},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5197460651397705},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4985349178314209},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.47932684421539307},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4779125154018402},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4634980857372284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.785211443901062},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6795687675476074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6292452216148376},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6259210109710693},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5566968321800232},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5455619096755981},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5197460651397705},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4985349178314209},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.47932684421539307},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4779125154018402},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4634980857372284},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001422500112","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422500112","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W146900863","https://openalex.org/W206659046","https://openalex.org/W1949591461","https://openalex.org/W2117539524","https://openalex.org/W2168356304","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2289130514","https://openalex.org/W2342611082","https://openalex.org/W2361187101","https://openalex.org/W2467139031","https://openalex.org/W2471048925","https://openalex.org/W2502225121","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2604463754","https://openalex.org/W2606377603","https://openalex.org/W2736410039","https://openalex.org/W2738406610","https://openalex.org/W2962706983","https://openalex.org/W2962926870","https://openalex.org/W2963148311","https://openalex.org/W2963383990","https://openalex.org/W2963557071","https://openalex.org/W2963637710","https://openalex.org/W2963842104","https://openalex.org/W2963910742","https://openalex.org/W2964304299","https://openalex.org/W2968039979","https://openalex.org/W2970416732","https://openalex.org/W3036021713","https://openalex.org/W3102668440"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W2101960027","https://openalex.org/W2197846993","https://openalex.org/W1976827262","https://openalex.org/W2905271011","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579","https://openalex.org/W1872833176"],"abstract_inverted_index":{"Most":[0],"of":[1,17,24,54,73,91,95,134],"the":[2,13,21,50,115,132,141],"person":[3,58,125],"re-identification":[4],"(re-ID)":[5],"algorithms":[6],"based":[7],"on":[8,29,122],"deep":[9],"learning":[10,86],"mainly":[11],"learn":[12,110],"global":[14,75],"feature":[15,112,116],"representation":[16,113,117],"pedestrians,":[18],"while":[19],"ignoring":[20],"important":[22],"role":[23],"fine-grained":[25],"pedestrian":[26,55,84,96],"attribute":[27],"features":[28],"re-ID":[30,59,126],"tasks.":[31],"Pedestrian":[32],"attributes":[33,56,85,97],"are":[34],"middle-level":[35],"semantic":[36,93],"features,":[37],"which":[38,71,137],"have":[39],"invariance":[40],"in":[41,114],"different":[42],"poses,":[43],"camera":[44],"views,":[45],"and":[46,52,66,82,98,109,129],"illumination":[47],"conditions.":[48],"Considering":[49],"robustness":[51],"promotion":[53],"for":[57],"task,":[60,77,81],"we":[61],"propose":[62],"an":[63],"Attribute-guided":[64],"Global":[65],"Part-level":[67],"identity":[68,76,80],"Network":[69],"(AGPNet),":[70],"consists":[72],"a":[74,78,83],"part-level":[79],"task.":[87],"AGPNet":[88],"takes":[89],"advantage":[90],"perceived":[92],"information":[94],"deploys":[99],"them":[100],"as":[101],"guidance":[102],"to":[103,105],"attend":[104],"human":[106],"body":[107],"regions":[108],"robust":[111],"construction":[118],"stage.":[119],"Extensive":[120],"experiments":[121],"two":[123],"large-scale":[124],"datasets":[127],"(Market-1501":[128],"DukeMTMC-reID)":[130],"show":[131],"effectiveness":[133],"our":[135],"method,":[136],"is":[138],"competitive":[139],"with":[140],"state-of-the-art":[142],"algorithms.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
