{"id":"https://openalex.org/W2803926707","doi":"https://doi.org/10.1109/icpr.2018.8545619","title":"Density-Adaptive Kernel based Re-Ranking for Person Re-Identification","display_name":"Density-Adaptive Kernel based Re-Ranking for Person Re-Identification","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2803926707","doi":"https://doi.org/10.1109/icpr.2018.8545619","mag":"2803926707"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1805.07698","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056031872","display_name":"Ruopei Guo","orcid":"https://orcid.org/0000-0001-5265-8347"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruo-Pei Guo","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, P.R. China","School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 100876 P.\u2009R.\u2009China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, P.R. China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 100876 P.\u2009R.\u2009China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100654344","display_name":"Chun-Guang Li","orcid":"https://orcid.org/0000-0002-5716-268X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun-Guang Li","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, P.R. China","School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 100876 P.\u2009R.\u2009China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, P.R. China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 100876 P.\u2009R.\u2009China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100695314","display_name":"Yonghua Li","orcid":"https://orcid.org/0000-0002-8173-8351"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghua Li","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, P.R. China","School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 100876 P.\u2009R.\u2009China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, P.R. China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 100876 P.\u2009R.\u2009China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075023488","display_name":"Jiaru Lin","orcid":"https://orcid.org/0000-0001-6593-4419"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaru Lin","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, P.R. China","School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 100876 P.\u2009R.\u2009China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, P.R. China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 100876 P.\u2009R.\u2009China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056031872"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04313038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"982","last_page":"987"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9955999851226807,"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":0.9926999807357788,"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":0.6904785633087158},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6895018815994263},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6508195400238037},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6273070573806763},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6011358499526978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5559052228927612},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.49238288402557373},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4438946843147278},{"id":"https://openalex.org/keywords/ranking-svm","display_name":"Ranking SVM","score":0.41697216033935547},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40820902585983276},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36783093214035034},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16632086038589478},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13160869479179382}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6904785633087158},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6895018815994263},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6508195400238037},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6273070573806763},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6011358499526978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5559052228927612},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.49238288402557373},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4438946843147278},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.41697216033935547},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40820902585983276},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36783093214035034},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16632086038589478},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13160869479179382},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2018.8545619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"mag:2803926707","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1805.07698","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"mag:2803926707","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1805.07698","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7099999785423279,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W140822990","https://openalex.org/W1518138188","https://openalex.org/W1949591461","https://openalex.org/W1979838576","https://openalex.org/W1982925187","https://openalex.org/W1991452654","https://openalex.org/W2052184388","https://openalex.org/W2068042582","https://openalex.org/W2076188996","https://openalex.org/W2076287166","https://openalex.org/W2087255219","https://openalex.org/W2096306138","https://openalex.org/W2106053110","https://openalex.org/W2126791727","https://openalex.org/W2131255818","https://openalex.org/W2151873133","https://openalex.org/W2152322845","https://openalex.org/W2156854584","https://openalex.org/W2156911635","https://openalex.org/W2161969291","https://openalex.org/W2169495281","https://openalex.org/W2204750386","https://openalex.org/W2242818826","https://openalex.org/W2293547005","https://openalex.org/W2433217581","https://openalex.org/W2462232801","https://openalex.org/W2568062112","https://openalex.org/W2584637367","https://openalex.org/W2593329034","https://openalex.org/W2604211872","https://openalex.org/W2607876789","https://openalex.org/W2625961748","https://openalex.org/W2963161580","https://openalex.org/W2964044605","https://openalex.org/W2982170673","https://openalex.org/W4317524344","https://openalex.org/W6601887387","https://openalex.org/W6631178364","https://openalex.org/W6635755983","https://openalex.org/W6639269566","https://openalex.org/W6675751002","https://openalex.org/W6681084374","https://openalex.org/W6683249403","https://openalex.org/W6726951882","https://openalex.org/W6731564744"],"related_works":["https://openalex.org/W2507209622","https://openalex.org/W2891772265","https://openalex.org/W327359575","https://openalex.org/W2328446763","https://openalex.org/W1836360444","https://openalex.org/W2152408869","https://openalex.org/W1573782941","https://openalex.org/W2899850798","https://openalex.org/W2967742074","https://openalex.org/W2949738815","https://openalex.org/W1555168537","https://openalex.org/W188466398","https://openalex.org/W2800589168","https://openalex.org/W2901815670","https://openalex.org/W1532564325","https://openalex.org/W2774500140","https://openalex.org/W3000734156","https://openalex.org/W2950171555","https://openalex.org/W2552399396","https://openalex.org/W2800435428"],"abstract_inverted_index":{"Person":[0],"Re-Identification":[1],"(ReID)":[2],"refers":[3],"to":[4,60,67,80,140,156],"the":[5,9,40,82,94,121,135,142,150,158,165],"task":[6],"of":[7,11,18],"verifying":[8],"identity":[10],"a":[12,35,62,76,89],"pedestrian":[13],"observed":[14],"from":[15,47,51],"non-overlapping":[16],"views":[17],"surveillance":[19],"cameras":[20],"networks.":[21],"Recently,":[22],"it":[23],"has":[24],"been":[25],"validated":[26],"that":[27,149,187],"re-ranking":[28,42,103],"could":[29],"bring":[30],"remarkable":[31],"performance":[32],"improvements":[33],"for":[34],"person":[36],"ReID":[37],"system.":[38],"However,":[39],"current":[41],"approaches":[43],"either":[44],"require":[45],"feedbacks":[46],"users":[48],"or":[49],"suffer":[50],"burdensome":[52],"computation":[53],"cost.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58,74,97,133],"propose":[59],"exploit":[61],"density-adaptive":[63,90],"smooth":[64,77],"kernel":[65,78],"technique":[66],"perform":[68],"efficient":[69],"and":[70,112,138,147,161,182,192],"effective":[71,102,191],"re-ranking.":[72],"Specifically,":[73],"adopt":[75],"function":[79],"formulate":[81],"neighboring":[83],"relationship":[84],"amongst":[85],"data":[86],"samples":[87,146,153],"with":[88],"parameter.":[91],"Based":[92],"on":[93,172],"new":[95],"formulation,":[96],"present":[98],"two":[99],"simple":[100],"yet":[101],"methods,":[104],"termed":[105],"inverse":[106],"Density-Adaptive":[107,114],"Kernel":[108,115],"based":[109,116],"Re-ranking":[110,117],"(inv-DAKR)":[111],"bidirectional":[113],"(bi-DAKR),":[118],"in":[119],"which":[120],"local":[122,159],"density":[123],"information":[124],"around":[125],"each":[126],"gallery":[127],"sample":[128],"is":[129],"elegantly":[130],"exploited.":[131],"Moreover,":[132],"extend":[134],"proposed":[136],"inv-DAKR":[137],"bi-DAKR":[139],"incorporate":[141],"available":[143],"extra":[144,151],"probe":[145,152],"demonstrate":[148,186],"are":[154,170,190],"able":[155],"improve":[157],"neighborhood":[160],"thus":[162],"further":[163],"refine":[164],"ranking":[166],"result.":[167],"Extensive":[168],"experiments":[169],"conducted":[171],"six":[173],"benchmark":[174],"datasets,":[175],"including":[176],"PRID450s,":[177],"VIPeR,":[178],"CUHK03,":[179],"GRID,":[180],"Market-1501":[181],"Mars.":[183],"Experimental":[184],"results":[185],"our":[188],"proposals":[189],"efficient.":[193]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
