{"id":"https://openalex.org/W3168126494","doi":"https://doi.org/10.1109/tnnls.2021.3085978","title":"Global\u2013Local Multiple Granularity Learning for Cross-Modality Visible\u2013Infrared Person Reidentification","display_name":"Global\u2013Local Multiple Granularity Learning for Cross-Modality Visible\u2013Infrared Person Reidentification","publication_year":2021,"publication_date":"2021-06-17","ids":{"openalex":"https://openalex.org/W3168126494","doi":"https://doi.org/10.1109/tnnls.2021.3085978","mag":"3168126494","pmid":"https://pubmed.ncbi.nlm.nih.gov/34138719"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3085978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3085978","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100618147","display_name":"Liyan Zhang","orcid":"https://orcid.org/0000-0002-1549-3317"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liyan Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101827786","display_name":"Guodong Du","orcid":"https://orcid.org/0000-0001-8510-6362"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guodong Du","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China","institution_ids":["https://openalex.org/I9842412"]},{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371024","display_name":"Fan Liu","orcid":"https://orcid.org/0000-0001-8746-9845"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Liu","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051616841","display_name":"Huawei Tu","orcid":"https://orcid.org/0000-0001-9689-9767"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Huawei Tu","raw_affiliation_strings":["Department of Computer Science and Information Technology, La Trobe University, Melbourne, VIC, Australia","Department of Computer Science and Information Technology, La Trobe University, Melbourne, VIC 3086, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Technology, La Trobe University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I196829312"]},{"raw_affiliation_string":"Department of Computer Science and Information Technology, La Trobe University, Melbourne, VIC 3086, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040437528","display_name":"Xiangbo Shu","orcid":"https://orcid.org/0000-0003-4902-4663"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangbo Shu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210096, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210096, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100618147"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":5.8602,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.97238562,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"36","issue":"3","first_page":"4209","last_page":"4219"},"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":0.9907000064849854,"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":0.9829000234603882,"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/discriminative-model","display_name":"Discriminative model","score":0.811821699142456},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.7513060569763184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6664178967475891},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.6565172076225281},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6519415378570557},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5330535173416138},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.469843327999115},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46765321493148804},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3439810872077942},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3400510549545288},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18961310386657715}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.811821699142456},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.7513060569763184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6664178967475891},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.6565172076225281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6519415378570557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5330535173416138},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.469843327999115},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46765321493148804},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3439810872077942},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3400510549545288},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18961310386657715},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2021.3085978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3085978","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:34138719","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34138719","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1873612269","display_name":null,"funder_award_id":"61720106006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G458179433","display_name":null,"funder_award_id":"BK20190065","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G5367319358","display_name":null,"funder_award_id":"61772268","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5628991381","display_name":null,"funder_award_id":"BK20191298","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327794","display_name":"Qinglan Project of Jiangsu Province of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2118181058","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2596603442","https://openalex.org/W2752880541","https://openalex.org/W2777534232","https://openalex.org/W2788846526","https://openalex.org/W2795758732","https://openalex.org/W2808134123","https://openalex.org/W2808260522","https://openalex.org/W2904949947","https://openalex.org/W2906502833","https://openalex.org/W2921547827","https://openalex.org/W2954773727","https://openalex.org/W2963597983","https://openalex.org/W2969429527","https://openalex.org/W2970390221","https://openalex.org/W2981420411","https://openalex.org/W2985033611","https://openalex.org/W2997877744","https://openalex.org/W2998633236","https://openalex.org/W3004990178","https://openalex.org/W3033235266","https://openalex.org/W3034494316","https://openalex.org/W3034519219","https://openalex.org/W3047363187","https://openalex.org/W3100506510","https://openalex.org/W3107848599","https://openalex.org/W6746131018","https://openalex.org/W6755808813","https://openalex.org/W6763592065","https://openalex.org/W6765843172","https://openalex.org/W6766134489","https://openalex.org/W6771967508"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060","https://openalex.org/W936373746","https://openalex.org/W2965546495","https://openalex.org/W2975817033","https://openalex.org/W3112714922"],"abstract_inverted_index":{"Cross-modality":[0],"visible-infrared":[1],"person":[2],"reidentification":[3],"(VI-ReID),":[4],"which":[5,80],"aims":[6,118],"to":[7,38,51,101,119,131],"retrieve":[8],"pedestrian":[9],"images":[10,35],"captured":[11],"by":[12],"both":[13,87],"visible":[14,32],"and":[15,33,43,89,94,126,138],"infrared":[16,34],"cameras,":[17],"is":[18],"a":[19,72,103,112],"challenging":[20],"but":[21],"essential":[22],"task":[23],"for":[24,78],"smart":[25],"surveillance":[26],"systems.":[27],"The":[28,92],"huge":[29],"barrier":[30],"between":[31],"has":[36],"led":[37],"the":[39,122,128,134,140,152,155],"large":[40],"cross-modality":[41,124,135],"discrepancy":[42,130,136],"intraclass":[44,123],"variations.":[45],"Most":[46],"existing":[47],"VI-ReID":[48],"methods":[49],"tend":[50],"learn":[52,82],"discriminative":[53,105],"modality-sharable":[54],"features":[55],"based":[56,85],"on":[57,86,146],"either":[58],"global":[59,88],"or":[60],"part-based":[61],"representations,":[62],"lacking":[63],"effective":[64],"optimization":[65],"objectives.":[66],"In":[67],"this":[68],"article,":[69],"we":[70,109],"propose":[71,111],"novel":[73,113],"global-local":[74],"multichannel":[75],"(GLMC)":[76],"network":[77],"VI-ReID,":[79],"can":[81,97],"multigranularity":[83],"representations":[84],"local":[90],"features.":[91],"coarse-":[93],"fine-grained":[95],"information":[96],"complement":[98],"each":[99],"other":[100],"form":[102],"more":[104],"feature":[106],"descriptor.":[107],"Besides,":[108],"also":[110],"center":[114],"loss":[115],"function":[116],"that":[117],"simultaneously":[120],"improve":[121],"similarity":[125],"enlarge":[127],"interclass":[129],"explicitly":[132],"handle":[133],"issue":[137],"avoid":[139],"model":[141],"fluctuating":[142],"problem.":[143],"Experimental":[144],"results":[145],"two":[147],"public":[148],"datasets":[149],"have":[150],"demonstrated":[151],"superiority":[153],"of":[154,164],"proposed":[156],"method":[157],"compared":[158],"with":[159],"state-of-the-art":[160],"approaches":[161],"in":[162],"terms":[163],"effectiveness.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":33},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
