{"id":"https://openalex.org/W2593553812","doi":"https://doi.org/10.1109/lsp.2017.2679208","title":"Adaptive Metric Learning and Probe-Specific Reranking for Person Reidentification","display_name":"Adaptive Metric Learning and Probe-Specific Reranking for Person Reidentification","publication_year":2017,"publication_date":"2017-03-07","ids":{"openalex":"https://openalex.org/W2593553812","doi":"https://doi.org/10.1109/lsp.2017.2679208","mag":"2593553812"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2017.2679208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2017.2679208","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5101562216","display_name":"Yi Xie","orcid":"https://orcid.org/0000-0002-7420-3279"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Xie","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","[College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China.]"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"[College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China.]","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035885712","display_name":"Huimin Yu","orcid":"https://orcid.org/0000-0002-8206-3747"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huimin Yu","raw_affiliation_strings":["State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China","[College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China.]"],"affiliations":[{"raw_affiliation_string":"State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"[College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China.]","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061298101","display_name":"Xiaojin Gong","orcid":"https://orcid.org/0000-0001-9955-3569"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojin Gong","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","[College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China.]"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"[College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China.]","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030991520","display_name":"Martin D. Levine","orcid":"https://orcid.org/0000-0001-8754-1261"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Martin D. Levine","raw_affiliation_strings":["Center for Intelligent Machines, Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Center for Intelligent Machines, Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101562216"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.6372,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.77481278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"24","issue":"6","first_page":"853","last_page":"857"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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":0.9994000196456909,"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/T11448","display_name":"Face recognition and analysis","score":0.9950000047683716,"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":0.9495000243186951,"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/metric","display_name":"Metric (unit)","score":0.7883723974227905},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.673560619354248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4941129982471466},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4311140179634094}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7883723974227905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.673560619354248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4941129982471466},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4311140179634094},{"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/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/lsp.2017.2679208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2017.2679208","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.75}],"awards":[{"id":"https://openalex.org/G2658299096","display_name":null,"funder_award_id":"61471321","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W41482161","https://openalex.org/W46454230","https://openalex.org/W140822990","https://openalex.org/W1602182271","https://openalex.org/W1709635438","https://openalex.org/W1928419358","https://openalex.org/W1949591461","https://openalex.org/W1966371059","https://openalex.org/W1971955426","https://openalex.org/W1989889610","https://openalex.org/W2014764728","https://openalex.org/W2029287185","https://openalex.org/W2068042582","https://openalex.org/W2079972027","https://openalex.org/W2087793398","https://openalex.org/W2089074647","https://openalex.org/W2100556411","https://openalex.org/W2109824782","https://openalex.org/W2125889200","https://openalex.org/W2130556178","https://openalex.org/W2151873133","https://openalex.org/W2169495281","https://openalex.org/W2170057991","https://openalex.org/W2173158975","https://openalex.org/W2209834623","https://openalex.org/W2215063078","https://openalex.org/W2220271458","https://openalex.org/W2326772079","https://openalex.org/W2339666411","https://openalex.org/W2397917844","https://openalex.org/W2468348601","https://openalex.org/W2515904052","https://openalex.org/W2542376992","https://openalex.org/W6601733005","https://openalex.org/W6601887387","https://openalex.org/W6636160605","https://openalex.org/W6675751002","https://openalex.org/W6685083254","https://openalex.org/W6703697878"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":{"In":[0],"this":[1],"letter,":[2],"we":[3,70],"introduce":[4],"an":[5],"adaptive":[6],"metric":[7,17],"learning":[8,18],"(AML)":[9],"method":[10],"for":[11],"person":[12],"reidentification.":[13],"Different":[14],"from":[15],"conventional":[16],"approaches,":[19],"which":[20],"treat":[21],"all":[22],"the":[23,30,44,54,80,86,99,103,123,132],"negative":[24,31,48,60],"samples":[25,32],"equally,":[26],"AML":[27,50,136],"adaptively":[28],"classifies":[29],"into":[33],"three":[34,128],"groups":[35],"and":[36,59,62,105,137],"pays":[37],"different":[38],"attention":[39],"to":[40,78,97],"them.":[41],"By":[42],"emphasizing":[43],"influence":[45],"of":[46,134],"hard":[47],"samples,":[49,61],"can":[51],"better":[52],"mine":[53],"discriminative":[55],"information":[56],"between":[57,102],"positive":[58],"thus":[63],"generate":[64],"a":[65,73,94],"more":[66],"effective":[67],"metric.":[68,88],"Furthermore,":[69],"also":[71],"propose":[72],"probe-specific":[74],"reranking":[75],"(PSR)":[76],"algorithm":[77],"refine":[79],"initial":[81],"ranking":[82],"list":[83],"measured":[84],"by":[85],"learned":[87],"For":[89],"each":[90],"probe,":[91],"PSR":[92],"constructs":[93],"corresponding":[95],"hypergraph":[96],"capture":[98],"neighborhood":[100,120],"relationship":[101],"probe":[104],"its":[106],"top":[107],"100":[108],"ranked":[109],"gallery":[110],"images.":[111],"Then,":[112],"these":[113],"images":[114],"are":[115],"reranked":[116],"based":[117],"on":[118,127],"their":[119],"affinity":[121],"in":[122],"hypergraph.":[124],"Extensive":[125],"experiments":[126],"challenging":[129],"datasets":[130],"demonstrate":[131],"superiority":[133],"both":[135],"PSR.":[138]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
