{"id":"https://openalex.org/W4312548737","doi":"https://doi.org/10.1109/icpr56361.2022.9956450","title":"Learning Multi-Context Dynamic Listwise Relation for Generalizable Person Re-Identification","display_name":"Learning Multi-Context Dynamic Listwise Relation for Generalizable Person Re-Identification","publication_year":2022,"publication_date":"2022-08-21","ids":{"openalex":"https://openalex.org/W4312548737","doi":"https://doi.org/10.1109/icpr56361.2022.9956450"},"language":"en","primary_location":{"id":"doi:10.1109/icpr56361.2022.9956450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956450","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5026298162","display_name":"Chengzhi Lin","orcid":"https://orcid.org/0000-0002-8049-3989"},"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":"Chengzhi Lin","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science and Engineering,China","School of Computer Science and Engineering, Sun Yat-sen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science and Engineering,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115590045","display_name":"Ancong Wu","orcid":null},"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":"Ancong Wu","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science and Engineering,China","School of Computer Science and Engineering, Sun Yat-sen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science and Engineering,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108050904","display_name":"Wei\u2010Shi Zheng","orcid":"https://orcid.org/0000-0001-8327-0003"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"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":"Wei-Shi Zheng","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science and Engineering,China","Ministry of Education, Key Laboratory of Machine Intelligence and Advanced Computing, China","School of Computer Science and Engineering, Sun Yat-sen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science and Engineering,China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Ministry of Education, Key Laboratory of Machine Intelligence and Advanced Computing, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16321586,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"2620","last_page":"2627"},"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":0.9857000112533569,"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":0.8046695590019226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7084592580795288},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6312469244003296},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5470619201660156},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5401782393455505},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5379996299743652},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5206232070922852},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4926925301551819},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46913713216781616},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.46489375829696655},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4575805068016052},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43177181482315063},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4293847680091858},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33119750022888184},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.13575220108032227},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07672062516212463}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8046695590019226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7084592580795288},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6312469244003296},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5470619201660156},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5401782393455505},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5379996299743652},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5206232070922852},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4926925301551819},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46913713216781616},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.46489375829696655},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4575805068016052},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43177181482315063},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4293847680091858},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33119750022888184},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.13575220108032227},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07672062516212463},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr56361.2022.9956450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956450","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320335768","display_name":"National Postdoctoral Program for Innovative Talents","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1949591461","https://openalex.org/W1982925187","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2299668505","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2792643794","https://openalex.org/W2798458055","https://openalex.org/W2883638665","https://openalex.org/W2912406707","https://openalex.org/W2947319827","https://openalex.org/W2947464443","https://openalex.org/W2952634764","https://openalex.org/W2962706983","https://openalex.org/W2963047834","https://openalex.org/W2963067443","https://openalex.org/W2963383990","https://openalex.org/W2971018118","https://openalex.org/W2981920808","https://openalex.org/W2984145721","https://openalex.org/W2987191133","https://openalex.org/W2995852213","https://openalex.org/W2999929549","https://openalex.org/W3001411605","https://openalex.org/W3034236897","https://openalex.org/W3034580371","https://openalex.org/W3034607353","https://openalex.org/W3034727830","https://openalex.org/W3034903425","https://openalex.org/W3035537506","https://openalex.org/W3040483885","https://openalex.org/W3096285474","https://openalex.org/W3105159632","https://openalex.org/W3107836944","https://openalex.org/W3111255625","https://openalex.org/W3119635706","https://openalex.org/W3166601111","https://openalex.org/W3173909755","https://openalex.org/W3174337559","https://openalex.org/W3174505228","https://openalex.org/W3194940645","https://openalex.org/W3213438015","https://openalex.org/W4288278459","https://openalex.org/W6646071477","https://openalex.org/W6687888618","https://openalex.org/W6697673422","https://openalex.org/W6733146167","https://openalex.org/W6749029207","https://openalex.org/W6754484989","https://openalex.org/W6763262992","https://openalex.org/W6766768617","https://openalex.org/W6771395016","https://openalex.org/W6772329248","https://openalex.org/W6779836534","https://openalex.org/W6804149381"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W51364034","https://openalex.org/W2141938446","https://openalex.org/W2898073868","https://openalex.org/W2075445622","https://openalex.org/W4284663758"],"abstract_inverted_index":{"Although":[0],"Person":[1],"re-identification":[2],"(Re-ID)":[3],"has":[4],"made":[5],"rapid":[6],"development":[7],"in":[8,42,54,74,90,96,103,120,138,187,202],"supervised":[9],"learning":[10,63,132],"and":[11,49,100,110,153,156],"domain":[12,190,203],"adaptation,":[13],"it":[14],"is":[15,35,115,124],"more":[16,64],"desirable":[17],"to":[18,28,38,135,151,171,183,191],"learn":[19],"a":[20,144,161],"generalizable":[21,58,65,128],"model":[22],"that":[23],"can":[24,106,166],"be":[25],"directly":[26],"applied":[27],"unseen":[29,43,139,172,188],"scenes":[30],"without":[31],"updating.":[32],"Generalizable":[33],"Re-ID":[34,59,129],"challenging":[36],"due":[37],"uncertain":[39],"cross-camera":[40,185],"variations":[41,186],"target":[44,80,121,140,189],"domain,":[45,122,141],"such":[46],"as":[47],"illumination":[48],"viewpoint":[50],"change,":[51],"which":[52,123,165],"result":[53],"visual":[55,85],"ambiguities.":[56],"Existing":[57],"methods":[60],"focus":[61],"on":[62],"features":[66,159],"for":[67],"individual":[68],"instances.":[69],"They":[70],"ignore":[71],"the":[72,75,79,97,169,197],"context":[73],"ranking":[76,98],"list":[77,99,162],"of":[78,160,163,199],"domain.":[81],"When":[82],"human":[83],"encounters":[84],"ambiguities":[86,109],"when":[87],"matching":[88,112,137],"pedestrians":[89],"unfamiliar":[91],"scenes,":[92],"comparing":[93,101],"similar":[94],"instances":[95],"environments":[102],"different":[104],"cameras":[105],"help":[107],"remove":[108],"refine":[111,136],"results.":[113],"This":[114],"actually":[116],"exploiting":[117],"contextual":[118,133,158],"information":[119,134],"ignored":[125],"by":[126],"existing":[127],"methods.":[130],"For":[131],"we":[142],"propose":[143,178],"Multi-Context":[145],"Dynamic":[146],"Listwise":[147],"Relation":[148],"Network":[149],"(MDLRN)":[150],"extract":[152],"aggregate":[154],"instance-level":[155],"camera-level":[157],"images,":[164],"dynamically":[167],"adapt":[168],"metric":[170],"cross-domain":[173],"scene":[174],"variations.":[175],"We":[176],"further":[177],"camera-specific":[179],"feature":[180],"perturbation":[181],"(CFP)":[182],"simulate":[184],"improve":[192],"generalization.":[193,204],"Extensive":[194],"experiments":[195],"showed":[196],"superiority":[198],"our":[200],"method":[201]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}