{"id":"https://openalex.org/W4313591085","doi":"https://doi.org/10.1109/jstsp.2022.3233716","title":"Towards Homogeneous Modality Learning and Multi-Granularity Information Exploration for Visible-Infrared Person Re-Identification","display_name":"Towards Homogeneous Modality Learning and Multi-Granularity Information Exploration for Visible-Infrared Person Re-Identification","publication_year":2023,"publication_date":"2023-01-04","ids":{"openalex":"https://openalex.org/W4313591085","doi":"https://doi.org/10.1109/jstsp.2022.3233716"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2022.3233716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2022.3233716","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","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/A5101722814","display_name":"Haojie Liu","orcid":"https://orcid.org/0000-0003-1270-1771"},"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":"Haojie Liu","raw_affiliation_strings":["College of Control Science and Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1270-1771","affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035484030","display_name":"Daoxun Xia","orcid":"https://orcid.org/0000-0002-1715-3324"},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daoxun Xia","raw_affiliation_strings":["School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China","Engineering Laboratory for Applied Technology of Big Data in Education, Guizhou Normal University, Guiyang, China"],"raw_orcid":"https://orcid.org/0000-0002-1715-3324","affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China","institution_ids":["https://openalex.org/I154893126"]},{"raw_affiliation_string":"Engineering Laboratory for Applied Technology of Big Data in Education, Guizhou Normal University, Guiyang, China","institution_ids":["https://openalex.org/I154893126"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002942261","display_name":"Wei Jiang","orcid":"https://orcid.org/0000-0002-9240-5851"},"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":"Wei Jiang","raw_affiliation_strings":["College of Control Science and Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9240-5851","affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2345,"currency":"USD","value_usd":2345},"apc_paid":null,"fwci":5.2337,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.96928839,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"17","issue":"3","first_page":"545","last_page":"559"},"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":0.9962000250816345,"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":0.9918000102043152,"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":0.7293252944946289},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7219549417495728},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6677164435386658},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.6277319192886353},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.5448770523071289},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5250023603439331},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5245435833930969},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46544158458709717},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46035999059677124},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.41118013858795166},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.341159462928772}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7293252944946289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7219549417495728},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6677164435386658},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.6277319192886353},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.5448770523071289},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5250023603439331},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5245435833930969},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46544158458709717},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46035999059677124},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.41118013858795166},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.341159462928772},{"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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstsp.2022.3233716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2022.3233716","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.41999998688697815,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G4065773603","display_name":null,"funder_award_id":"62173302","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"},{"id":"https://openalex.org/F4320321160","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W2502225121","https://openalex.org/W2531440880","https://openalex.org/W2596603442","https://openalex.org/W2598634450","https://openalex.org/W2604463754","https://openalex.org/W2777534232","https://openalex.org/W2788846526","https://openalex.org/W2795758732","https://openalex.org/W2798429327","https://openalex.org/W2808134123","https://openalex.org/W2808260522","https://openalex.org/W2810342182","https://openalex.org/W2810967842","https://openalex.org/W2912406707","https://openalex.org/W2954773727","https://openalex.org/W2962793481","https://openalex.org/W2963597983","https://openalex.org/W2967515867","https://openalex.org/W2970390221","https://openalex.org/W2971537151","https://openalex.org/W2981393440","https://openalex.org/W2985033611","https://openalex.org/W2990276967","https://openalex.org/W2992183111","https://openalex.org/W2997877744","https://openalex.org/W2998522188","https://openalex.org/W2998792609","https://openalex.org/W3026581226","https://openalex.org/W3033235266","https://openalex.org/W3034084848","https://openalex.org/W3034519219","https://openalex.org/W3034580371","https://openalex.org/W3035673257","https://openalex.org/W3049045914","https://openalex.org/W3100506510","https://openalex.org/W3106715802","https://openalex.org/W3107848599","https://openalex.org/W3125736290","https://openalex.org/W3134669182","https://openalex.org/W3137802886","https://openalex.org/W3155080005","https://openalex.org/W3168126494","https://openalex.org/W3173203577","https://openalex.org/W3173469406","https://openalex.org/W3176633985","https://openalex.org/W3192055375","https://openalex.org/W3195006847","https://openalex.org/W3198713693","https://openalex.org/W3202750592","https://openalex.org/W3202788649","https://openalex.org/W3204075450","https://openalex.org/W3207576380","https://openalex.org/W3207905476","https://openalex.org/W3210946531","https://openalex.org/W4200635168","https://openalex.org/W4210481275","https://openalex.org/W4226294111","https://openalex.org/W4308487110","https://openalex.org/W4312802153","https://openalex.org/W4312934679","https://openalex.org/W4312936309","https://openalex.org/W4320013936","https://openalex.org/W6728374919","https://openalex.org/W6735531217","https://openalex.org/W6770544759"],"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/W2975817033","https://openalex.org/W4382701072","https://openalex.org/W4295520087"],"abstract_inverted_index":{"Visible-infrared":[0],"person":[1,17,199],"re-identification":[2],"(VI-ReID)":[3],"is":[4,156],"a":[5,14,119,138,174,207],"challenging":[6],"and":[7,21,63,85,221],"essential":[8],"task":[9],"that":[10,113,224],"aims":[11],"to":[12,27,42,48,55,73,77,91,142,165,179,192,197,205],"retrieve":[13],"set":[15],"of":[16,31,236],"images":[18,145],"over":[19],"visible":[20,61,133],"infrared":[22,64,144],"camera":[23],"views.":[24],"In":[25,95,150,163],"order":[26,164],"mitigate":[28],"the":[29,50,60,66,79,100,127,131,153,160,167,187,215,234,237],"impact":[30],"large":[32],"modality":[33,80,129,154],"discrepancy":[34,155],"existing":[35],"in":[36,159],"heterogeneous":[37],"images,":[38],"previous":[39],"methods":[40],"attempt":[41],"apply":[43],"generative":[44],"adversarial":[45],"network":[46,178],"(GAN)":[47],"generate":[49,126],"modality-consisitent":[51],"data.":[52],"However,":[53],"due":[54],"severe":[56],"color":[57],"variations":[58],"between":[59,82],"domain":[62],"domain,":[65],"generated":[67],"fake":[68],"cross-modality":[69,101,230],"samples":[70],"often":[71],"fail":[72],"possess":[74],"good":[75],"qualities":[76],"fill":[78],"gap":[81],"synthesized":[83],"scenarios":[84],"target":[86],"real":[87],"ones,":[88],"which":[89,201],"leads":[90],"sub-optimal":[92],"feature":[93,176,209],"representations.":[94],"this":[96,151],"work,":[97],"we":[98,125,136,171,190],"address":[99],"matching":[102],"problem":[103],"with":[104],"Aligned":[105],"Grayscale":[106],"Modality":[107],"(AGM),":[108],"an":[109],"unified":[110],"dark-line":[111],"spectrum":[112],"reformulates":[114],"visible-infrared":[115],"dual-mode":[116],"learning":[117,122],"as":[118],"gray-gray":[120],"single-mode":[121],"problem.":[123],"Specifically,":[124],"grayscale":[128,148],"from":[130],"homogeneous":[132,147],"images.":[134,149],"Then,":[135],"train":[137],"style":[139],"tranfer":[140],"model":[141],"transfer":[143],"into":[146],"way,":[152],"remarkably":[157,228],"reduced":[158],"image":[161],"space.":[162],"reduce":[166],"remaining":[168],"appearance":[169],"discrepancy,":[170],"further":[172],"introduce":[173],"multi-granularity":[175],"extraction":[177],"conduct":[180],"feature-level":[181],"alignment.":[182],"Rather":[183],"than":[184],"relying":[185],"on":[186,214],"global":[188],"information,":[189],"propose":[191],"exploit":[193],"local":[194],"(head-shoulder)":[195],"features":[196],"assist":[198],"Re-ID,":[200],"complements":[202],"each":[203],"other":[204],"form":[206],"stronger":[208],"descriptor.":[210],"Comprehensive":[211],"experiments":[212],"implemented":[213],"mainstream":[216],"evaluation":[217],"datasets":[218],"include":[219],"SYSU-MM01":[220],"RegDB":[222],"indicate":[223],"our":[225],"method":[226],"can":[227],"enhance":[229],"retrieval":[231],"performance":[232],"against":[233],"state":[235],"art":[238],"methods.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2023-01-06T00:00:00"}