{"id":"https://openalex.org/W3205098981","doi":"https://doi.org/10.1109/lsp.2021.3119208","title":"Biclustering Collaborative Learning for Cross-Domain Person Re-Identification","display_name":"Biclustering Collaborative Learning for Cross-Domain Person Re-Identification","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3205098981","doi":"https://doi.org/10.1109/lsp.2021.3119208","mag":"3205098981"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2021.3119208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3119208","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/A5011350783","display_name":"Zhiqi Pang","orcid":"https://orcid.org/0000-0003-0940-3351"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqi Pang","raw_affiliation_strings":["College of Information and Computer Engineering, Northeast Forestry University, Harbin, China","[College of Information and Computer Engineering, Northeast Forestry University, Harbin, China]"],"raw_orcid":"https://orcid.org/0000-0003-0940-3351","affiliations":[{"raw_affiliation_string":"College of Information and Computer Engineering, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]},{"raw_affiliation_string":"[College of Information and Computer Engineering, Northeast Forestry University, Harbin, China]","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076256057","display_name":"Jifeng Guo","orcid":"https://orcid.org/0000-0002-8692-6255"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jifeng Guo","raw_affiliation_strings":["College of Information and Computer Engineering, Northeast Forestry University, Harbin, China","[College of Information and Computer Engineering, Northeast Forestry University, Harbin, China]"],"raw_orcid":"https://orcid.org/0000-0002-8692-6255","affiliations":[{"raw_affiliation_string":"College of Information and Computer Engineering, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]},{"raw_affiliation_string":"[College of Information and Computer Engineering, Northeast Forestry University, Harbin, China]","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101631483","display_name":"Wenbo Sun","orcid":"https://orcid.org/0000-0003-4529-1975"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Sun","raw_affiliation_strings":["College of Information and Computer Engineering, Northeast Forestry University, Harbin, China","[College of Information and Computer Engineering, Northeast Forestry University, Harbin, China]"],"raw_orcid":"https://orcid.org/0000-0003-4529-1975","affiliations":[{"raw_affiliation_string":"College of Information and Computer Engineering, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]},{"raw_affiliation_string":"[College of Information and Computer Engineering, Northeast Forestry University, Harbin, China]","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"last","author":{"id":null,"display_name":"Shi Li","orcid":"https://orcid.org/0000-0003-3187-8521"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Li","raw_affiliation_strings":["College of Information and Computer Engineering, Northeast Forestry University, Harbin, China","[College of Information and Computer Engineering, Northeast Forestry University, Harbin, China]"],"raw_orcid":"https://orcid.org/0000-0003-3187-8521","affiliations":[{"raw_affiliation_string":"College of Information and Computer Engineering, Northeast Forestry University, Harbin, China","institution_ids":["https://openalex.org/I47689461"]},{"raw_affiliation_string":"[College of Information and Computer Engineering, Northeast Forestry University, Harbin, China]","institution_ids":["https://openalex.org/I47689461"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I47689461"],"apc_list":null,"apc_paid":null,"fwci":1.5525,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.8525058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"28","issue":null,"first_page":"2142","last_page":"2146"},"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/T11448","display_name":"Face recognition and analysis","score":0.9939000010490417,"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":0.9937000274658203,"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":0.813626766204834},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7356542348861694},{"id":"https://openalex.org/keywords/biclustering","display_name":"Biclustering","score":0.6165174245834351},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.49517956376075745},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4900180399417877},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4882779121398926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4823298156261444},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4812029004096985},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.4429381489753723},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.43856751918792725},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.413418173789978},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.41106170415878296},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.24372395873069763},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.16437780857086182},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11975738406181335}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.813626766204834},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7356542348861694},{"id":"https://openalex.org/C144817290","wikidata":"https://www.wikidata.org/wiki/Q2976575","display_name":"Biclustering","level":5,"score":0.6165174245834351},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.49517956376075745},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4900180399417877},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4882779121398926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4823298156261444},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4812029004096985},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.4429381489753723},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.43856751918792725},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.413418173789978},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.41106170415878296},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.24372395873069763},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.16437780857086182},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11975738406181335},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2021.3119208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3119208","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":[],"awards":[{"id":"https://openalex.org/G6502831813","display_name":null,"funder_award_id":"2572019BH03","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8494139356","display_name":null,"funder_award_id":"LH2019C003","funder_id":"https://openalex.org/F4320323085","funder_display_name":"Natural Science Foundation of Heilongjiang Province"}],"funders":[{"id":"https://openalex.org/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2585635281","https://openalex.org/W2598634450","https://openalex.org/W2795758732","https://openalex.org/W2904427185","https://openalex.org/W2957037461","https://openalex.org/W2962793481","https://openalex.org/W2962859295","https://openalex.org/W2963000559","https://openalex.org/W2963047834","https://openalex.org/W2963049565","https://openalex.org/W2963073614","https://openalex.org/W2963842104","https://openalex.org/W2964121744","https://openalex.org/W2979931389","https://openalex.org/W2983640911","https://openalex.org/W2988852559","https://openalex.org/W2995852213","https://openalex.org/W3008706867","https://openalex.org/W3009238880","https://openalex.org/W3024437012","https://openalex.org/W3034140121","https://openalex.org/W3034372982","https://openalex.org/W3034607353","https://openalex.org/W3035070480","https://openalex.org/W3035402405","https://openalex.org/W3049063470","https://openalex.org/W3088716216","https://openalex.org/W3100506510","https://openalex.org/W3103165805","https://openalex.org/W3106772544","https://openalex.org/W3106858249","https://openalex.org/W3108634112","https://openalex.org/W3109301572","https://openalex.org/W3138679477","https://openalex.org/W3144783550","https://openalex.org/W3164920821","https://openalex.org/W3175474559","https://openalex.org/W3176837226","https://openalex.org/W3177342236","https://openalex.org/W3194199634","https://openalex.org/W3209485964","https://openalex.org/W6631190155","https://openalex.org/W6735531217","https://openalex.org/W6762802457","https://openalex.org/W6766488136","https://openalex.org/W6768371451","https://openalex.org/W6771395016","https://openalex.org/W6779510507","https://openalex.org/W6781000555","https://openalex.org/W6781271831","https://openalex.org/W6787191846","https://openalex.org/W6793422453","https://openalex.org/W6798658949","https://openalex.org/W6800013435"],"related_works":["https://openalex.org/W1974340769","https://openalex.org/W2900595096","https://openalex.org/W4289277241","https://openalex.org/W2979322793","https://openalex.org/W2765801824","https://openalex.org/W2188068678","https://openalex.org/W2157302779","https://openalex.org/W4236723217","https://openalex.org/W2611629964","https://openalex.org/W2113284213"],"abstract_inverted_index":{"In":[0,103],"the":[1,10,13,18,21,29,32,37,57,62,67,70,78,83,89,116,129,135],"cross-domain":[2],"person":[3],"re-identification":[4],"(ReID)":[5],"method":[6],"based":[7],"on":[8,17,69,82,121],"clustering,":[9],"performance":[11,131],"of":[12,20,31,61,72,132],"model":[14,101],"depends":[15],"heavily":[16],"quality":[19],"information":[22,34],"it":[23],"obtains":[24],"from":[25,48],"clustering.":[26],"To":[27],"improve":[28],"reliability":[30],"clustering":[33,79],"obtained":[35,81],"by":[36],"model,":[38],"we":[39,106],"propose":[40],"a":[41,108],"biclustering":[42],"collaborative":[43],"learning":[44],"(BCL)":[45],"framework":[46],"derived":[47],"an":[49],"identity":[50,58,74],"disentanglement":[51],"adaptation":[52],"network":[53],"(IDA-Net).":[54],"IDA-Net":[55],"encodes":[56],"and":[59,65,87,126],"style":[60,68],"input":[63],"image":[64],"transfers":[66],"premise":[71],"maintaining":[73],"consistency.":[75],"By":[76],"comparing":[77],"results":[80],"same":[84],"dataset":[85],"before":[86],"after":[88],"transfer":[90],"process,":[91],"BCL":[92,133],"can":[93],"select":[94],"hard":[95,111],"samples":[96],"with":[97],"higher":[98],"confidence":[99],"for":[100],"optimization.":[102],"each":[104],"iteration,":[105],"design":[107],"conditional":[109],"batch":[110],"triplet":[112],"loss":[113],"to":[114],"optimize":[115],"two":[117],"networks.":[118],"Extensive":[119],"experiments":[120],"large-scale":[122],"datasets":[123],"(Maket1501,":[124],"DukeMTMC-reID":[125],"MSMT17)":[127],"demonstrate":[128],"superior":[130],"over":[134],"state-of-the-art":[136],"methods.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}