{"id":"https://openalex.org/W4225722316","doi":"https://doi.org/10.1109/access.2022.3159805","title":"Feature Fusion and Center Aggregation for Visible-Infrared Person Re-Identification","display_name":"Feature Fusion and Center Aggregation for Visible-Infrared Person Re-Identification","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4225722316","doi":"https://doi.org/10.1109/access.2022.3159805"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3159805","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3159805","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09736957.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09736957.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001754147","display_name":"Xianju Wang","orcid":"https://orcid.org/0000-0001-9303-8574"},"institutions":[{"id":"https://openalex.org/I13175533","display_name":"Fuyang Normal University","ror":"https://ror.org/02njz9p87","country_code":"CN","type":"education","lineage":["https://openalex.org/I13175533"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianju Wang","raw_affiliation_strings":["School of Physics and Electronic Engineering, Fuyang Normal University, Fuyang, China"],"raw_orcid":"https://orcid.org/0000-0001-9303-8574","affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Engineering, Fuyang Normal University, Fuyang, China","institution_ids":["https://openalex.org/I13175533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073015477","display_name":"Cuiqun Chen","orcid":"https://orcid.org/0000-0002-4133-0028"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cuiqun Chen","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002477721","display_name":"Yong Zhu","orcid":"https://orcid.org/0000-0002-3862-5757"},"institutions":[{"id":"https://openalex.org/I13175533","display_name":"Fuyang Normal University","ror":"https://ror.org/02njz9p87","country_code":"CN","type":"education","lineage":["https://openalex.org/I13175533"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhu","raw_affiliation_strings":["School of Physics and Electronic Engineering, Fuyang Normal University, Fuyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Engineering, Fuyang Normal University, Fuyang, China","institution_ids":["https://openalex.org/I13175533"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100751112","display_name":"Shuguang Chen","orcid":"https://orcid.org/0000-0001-7366-4332"},"institutions":[{"id":"https://openalex.org/I13175533","display_name":"Fuyang Normal University","ror":"https://ror.org/02njz9p87","country_code":"CN","type":"education","lineage":["https://openalex.org/I13175533"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuguang Chen","raw_affiliation_strings":["School of Physics and Electronic Engineering, Fuyang Normal University, Fuyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Engineering, Fuyang Normal University, Fuyang, China","institution_ids":["https://openalex.org/I13175533"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.6245,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.84475185,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"30949","last_page":"30958"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9990000128746033,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/modality","display_name":"Modality (human\u2013computer interaction)","score":0.8390783071517944},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6780440807342529},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.6380090713500977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5950348377227783},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5890615582466125},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5313573479652405},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5288803577423096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48752161860466003},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4338524043560028},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25539135932922363},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.1037314236164093},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07926881313323975}],"concepts":[{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.8390783071517944},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6780440807342529},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.6380090713500977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5950348377227783},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5890615582466125},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5313573479652405},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5288803577423096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48752161860466003},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4338524043560028},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25539135932922363},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.1037314236164093},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07926881313323975},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3159805","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3159805","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09736957.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:27018e8e077b40829139c52fcf7a05c1","is_oa":true,"landing_page_url":"https://doaj.org/article/27018e8e077b40829139c52fcf7a05c1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 30949-30958 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3159805","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3159805","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09736957.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4307909577","display_name":null,"funder_award_id":"KJ2019ZD39","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4225722316.pdf","grobid_xml":"https://content.openalex.org/works/W4225722316.grobid-xml"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W2187089797","https://openalex.org/W2596603442","https://openalex.org/W2598634450","https://openalex.org/W2777534232","https://openalex.org/W2788846526","https://openalex.org/W2798385569","https://openalex.org/W2808260522","https://openalex.org/W2884585870","https://openalex.org/W2904949947","https://openalex.org/W2908440540","https://openalex.org/W2931208564","https://openalex.org/W2954773727","https://openalex.org/W2963000559","https://openalex.org/W2963091558","https://openalex.org/W2963289251","https://openalex.org/W2963420686","https://openalex.org/W2963438548","https://openalex.org/W2963557071","https://openalex.org/W2963597983","https://openalex.org/W2963842104","https://openalex.org/W2964140013","https://openalex.org/W2970390221","https://openalex.org/W2979931389","https://openalex.org/W2985033611","https://openalex.org/W2987151592","https://openalex.org/W2989923292","https://openalex.org/W2990827756","https://openalex.org/W2992183111","https://openalex.org/W2996878574","https://openalex.org/W2997052190","https://openalex.org/W2997738728","https://openalex.org/W2997877744","https://openalex.org/W2998126692","https://openalex.org/W2998633236","https://openalex.org/W2998792609","https://openalex.org/W3004021322","https://openalex.org/W3004990178","https://openalex.org/W3033110441","https://openalex.org/W3033235266","https://openalex.org/W3034494316","https://openalex.org/W3034519219","https://openalex.org/W3034727830","https://openalex.org/W3035070480","https://openalex.org/W3035151021","https://openalex.org/W3035241963","https://openalex.org/W3035539956","https://openalex.org/W3035673257","https://openalex.org/W3037694411","https://openalex.org/W3049045914","https://openalex.org/W3093050042","https://openalex.org/W3106715802","https://openalex.org/W3107848599","https://openalex.org/W3113147682","https://openalex.org/W3125736290","https://openalex.org/W3137207425","https://openalex.org/W3151046157","https://openalex.org/W3157802068","https://openalex.org/W3167173137","https://openalex.org/W3176633985","https://openalex.org/W3202788649","https://openalex.org/W3207271111","https://openalex.org/W3207576380","https://openalex.org/W3210946531","https://openalex.org/W4308213097","https://openalex.org/W4308738141","https://openalex.org/W6735531217","https://openalex.org/W6747428963","https://openalex.org/W6748621115","https://openalex.org/W6793811508","https://openalex.org/W6794330711","https://openalex.org/W6796428568"],"related_works":["https://openalex.org/W2504004674","https://openalex.org/W1987679298","https://openalex.org/W2963177394","https://openalex.org/W4313359513","https://openalex.org/W2385859805","https://openalex.org/W2498744856","https://openalex.org/W4390482104","https://openalex.org/W322408318","https://openalex.org/W149041114","https://openalex.org/W2530972254"],"abstract_inverted_index":{"The":[0],"visible-infrared":[1],"pedestrian":[2,12,56],"re-":[3,57],"identification":[4],"(VI":[5],"Re-ID)":[6],"task":[7],"aims":[8],"to":[9,90,106,135,148,170,200],"match":[10],"cross-modality":[11,55,187],"images":[13],"with":[14],"the":[15,24,75,114,150,163,166,177,201,206,212,219],"same":[16,167],"labels.":[17],"Most":[18],"current":[19,37],"methods":[20],"focus":[21],"on":[22,36,64,184,205],"mitigating":[23],"modality":[25,99,115],"discrepancy":[26],"by":[27,68,160,214],"adopting":[28],"a":[29,41,79,86,103,120],"two-stream":[30,87,104],"network":[31,49,89,105],"and":[32,45,73,93,123,153,156,173,190,216,223],"identity":[33,168],"supervision.":[34],"Based":[35],"methods,":[38],"we":[39,83,97,118,140],"propose":[40],"novel":[42],"feature":[43,108,121],"fusion":[44,122],"center":[46,124],"aggregation":[47,125],"learning":[48,65,126],"(<inline-formula>":[50],"<tex-math":[51,60,195],"notation=\"LaTeX\">$F^{2}$":[52,61,196],"</tex-math></inline-formula>CALNet)":[53],"for":[54,218],"identification.":[58],"<inline-formula>":[59,194],"</tex-math></inline-formula>CALNet":[62,197],"focuses":[63],"modality-irrelevant":[66],"features":[67,134,164],"simultaneously":[69,161],"reducing":[70],"inter-modality":[71],"discrepancies":[72],"increasing":[74],"inter-identity":[76,158],"variations":[77,159],"in":[78,102],"single":[80],"framework.":[81],"Specifically,":[82],"first":[84,129],"adopt":[85],"backbone":[88],"extract":[91],"modality-independent":[92],"modality-shared":[94],"information.":[95,116],"Then,":[96],"embed":[98],"mitigation":[100],"modules":[101],"learn":[107,136],"maps":[109],"that":[110,193],"are":[111],"stripped":[112],"of":[113,144,165,179,221],"Finally,":[117],"devise":[119],"module,":[127],"which":[128],"merges":[130],"two":[131,142,185],"different":[132,180],"granularity":[133],"distinguishing":[137],"features,":[138],"then,":[139],"organize":[141],"kinds":[143],"center-based":[145],"loss":[146],"functions":[147],"reduce":[149],"intra-identity":[151],"inter-":[152],"intra-modality":[154],"differences":[155],"increase":[157],"pulling":[162],"close":[169],"their":[171],"centers":[172,178],"pushing":[174],"far":[175],"away":[176],"identities.":[181],"Extensive":[182],"experiments":[183],"public":[186],"datasets":[188],"(SYSU-MM01":[189],"RegDB)":[191],"show":[192],"is":[198],"superior":[199],"state-of-the-art":[202],"approaches.":[203],"Furthermore,":[204],"SYSU-MM01":[207],"datasets,":[208],"our":[209],"model":[210],"outperforms":[211],"baseline":[213],"5.52&#x0025;":[215],"4.25&#x0025;":[217],"accuracy":[220],"rank1":[222],"mAP,":[224],"respectively.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}