{"id":"https://openalex.org/W3173902027","doi":"https://doi.org/10.1109/tip.2021.3092578","title":"Homogeneous-to-Heterogeneous: Unsupervised Learning for RGB-Infrared Person Re-Identification","display_name":"Homogeneous-to-Heterogeneous: Unsupervised Learning for RGB-Infrared Person Re-Identification","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3173902027","doi":"https://doi.org/10.1109/tip.2021.3092578","mag":"3173902027","pmid":"https://pubmed.ncbi.nlm.nih.gov/34197322"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3092578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3092578","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5010417046","display_name":"Wenqi Liang","orcid":"https://orcid.org/0009-0001-2261-7744"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqi Liang","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028380963","display_name":"Guangcong Wang","orcid":"https://orcid.org/0000-0002-6627-814X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangcong Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-6627-814X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034685928","display_name":"Jianhuang Lai","orcid":"https://orcid.org/0000-0003-3883-2024"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210156464","display_name":"Anhui Xinhua University","ror":"https://ror.org/053d7x641","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210156464"]},{"id":"https://openalex.org/I4400573165","display_name":"Guangzhou Xinhua University","ror":"https://ror.org/0068n3903","country_code":null,"type":"education","lineage":["https://openalex.org/I4400573165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhuang Lai","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","Guangdong Key Laboratory of Information Security Technology, Sun Yat-sen University, Guangzhou, China","Guangzhou Xinhua University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3883-2024","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Information Security Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Guangzhou Xinhua University, Guangzhou, China","institution_ids":["https://openalex.org/I4210156464","https://openalex.org/I4400573165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018298892","display_name":"Xiaohua Xie","orcid":"https://orcid.org/0000-0002-0310-4679"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Xie","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education China, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0310-4679","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education China, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.2424,"has_fulltext":false,"cited_by_count":113,"citation_normalized_percentile":{"value":0.96924897,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"30","issue":null,"first_page":"6392","last_page":"6407"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9876000285148621,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9861000180244446,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7719929218292236},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.7597153186798096},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7231895923614502},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7049700617790222},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.585936427116394},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5646766424179077},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.552973747253418},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5151254534721375},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4262147843837738},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40865397453308105}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7719929218292236},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.7597153186798096},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7231895923614502},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7049700617790222},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.585936427116394},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5646766424179077},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.552973747253418},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5151254534721375},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4262147843837738},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40865397453308105},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/tip.2021.3092578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3092578","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:34197322","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34197322","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6899999976158142,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G5164124208","display_name":null,"funder_award_id":"61672544","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7154640911","display_name":null,"funder_award_id":"62076258","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7165179767","display_name":null,"funder_award_id":"61876104","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":100,"referenced_works":["https://openalex.org/W166429404","https://openalex.org/W1425104224","https://openalex.org/W1518138188","https://openalex.org/W1523385540","https://openalex.org/W1731081199","https://openalex.org/W1913277147","https://openalex.org/W1949591461","https://openalex.org/W1964073652","https://openalex.org/W1971955426","https://openalex.org/W1982925187","https://openalex.org/W1999478721","https://openalex.org/W2014850105","https://openalex.org/W2100235303","https://openalex.org/W2106277773","https://openalex.org/W2110097068","https://openalex.org/W2135442311","https://openalex.org/W2161969291","https://openalex.org/W2204750386","https://openalex.org/W2266728343","https://openalex.org/W2326180695","https://openalex.org/W2353169560","https://openalex.org/W2433217581","https://openalex.org/W2467139031","https://openalex.org/W2510970676","https://openalex.org/W2520433280","https://openalex.org/W2584637367","https://openalex.org/W2596603442","https://openalex.org/W2606377603","https://openalex.org/W2736410039","https://openalex.org/W2751637663","https://openalex.org/W2752345995","https://openalex.org/W2765440071","https://openalex.org/W2777534232","https://openalex.org/W2788846526","https://openalex.org/W2795758732","https://openalex.org/W2804648901","https://openalex.org/W2808134123","https://openalex.org/W2808260522","https://openalex.org/W2896016251","https://openalex.org/W2896888563","https://openalex.org/W2897457738","https://openalex.org/W2900373870","https://openalex.org/W2904427185","https://openalex.org/W2904949947","https://openalex.org/W2909593838","https://openalex.org/W2913527057","https://openalex.org/W2954773727","https://openalex.org/W2962793481","https://openalex.org/W2962859295","https://openalex.org/W2962926870","https://openalex.org/W2963000559","https://openalex.org/W2963047834","https://openalex.org/W2963180826","https://openalex.org/W2963187862","https://openalex.org/W2963322158","https://openalex.org/W2963340922","https://openalex.org/W2963438548","https://openalex.org/W2963721283","https://openalex.org/W2963809521","https://openalex.org/W2963842104","https://openalex.org/W2963975998","https://openalex.org/W2964304299","https://openalex.org/W2970390221","https://openalex.org/W2979372598","https://openalex.org/W2981396627","https://openalex.org/W2982026851","https://openalex.org/W2982170673","https://openalex.org/W2985033611","https://openalex.org/W2988852559","https://openalex.org/W2989675884","https://openalex.org/W2996878574","https://openalex.org/W2997738728","https://openalex.org/W2997877744","https://openalex.org/W2998792609","https://openalex.org/W2999929549","https://openalex.org/W3000133216","https://openalex.org/W3007744269","https://openalex.org/W3033235266","https://openalex.org/W3034494316","https://openalex.org/W3034519219","https://openalex.org/W3035673257","https://openalex.org/W3100506510","https://openalex.org/W3107848599","https://openalex.org/W3125736290","https://openalex.org/W3162506397","https://openalex.org/W6606760634","https://openalex.org/W6631178364","https://openalex.org/W6631216910","https://openalex.org/W6637618735","https://openalex.org/W6676663998","https://openalex.org/W6726951882","https://openalex.org/W6747428963","https://openalex.org/W6748621115","https://openalex.org/W6751433836","https://openalex.org/W6755127273","https://openalex.org/W6755731411","https://openalex.org/W6757115498","https://openalex.org/W6759377594","https://openalex.org/W6772198544","https://openalex.org/W6781077750"],"related_works":["https://openalex.org/W3119773509","https://openalex.org/W2905271011","https://openalex.org/W3208297503","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579"],"abstract_inverted_index":{"RGB-Infrared":[0],"(RGB-IR)":[1],"cross-modality":[2,65,79,212],"person":[3,25,49,125],"re-identification":[4],"(re-ID)":[5],"is":[6,75,110,137],"attracting":[7],"more":[8,10,246],"and":[9,81,118,163,191,200,220,242,267],"attention":[11],"due":[12],"to":[13,94,112,119,139,153,165,204,224],"requirements":[14],"for":[15,86,128],"24-h":[16],"scene":[17],"surveillance.":[18],"However,":[19],"the":[20,33,46,96,103,106,114,121,132,148,177,182,188,226,232,259,265],"high":[21],"cost":[22],"of":[23,27,35,124,179,261],"labeling":[24],"identities":[26,123],"an":[28],"RGB-IR":[29,48,64,87],"dataset":[30],"largely":[31],"limits":[32],"scalability":[34],"supervised":[36],"models":[37],"in":[38,56,63],"real-world":[39],"scenarios.":[40],"In":[41,102,131],"this":[42],"paper,":[43],"we":[44,89],"study":[45],"unsupervised":[47,107,184],"re-ID":[50,74,80],"problem":[51],"(or":[52],"briefly":[53],"uRGB-IR":[54,97,227,253],"re-ID)":[55],"which":[57,250],"no":[58],"identity":[59],"annotations":[60],"are":[61],"available":[62],"datasets.":[66,269],"Considering":[67],"that":[68,215],"intra-modality":[69,115,151],"(i.e.,":[70],"RGB-RGB":[71],"or":[72],"IR-IR)":[73],"much":[76],"easier":[77],"than":[78],"can":[82,244],"provide":[83],"shared":[84,142],"knowledge":[85,149],"re-ID,":[88,98],"propose":[90,209],"a":[91,141,158,170,194,210,217,221,237],"two-stage":[92],"method":[93,109,235],"solve":[95],"namely":[99],"homogeneous-to-heterogeneous":[100,180],"learning.":[101],"first":[104],"stage,":[105,134],"self-learning":[108],"conducted":[111],"learn":[113,140],"feature":[116,144,196],"representation":[117,145,197],"generate":[120],"pseudo-labeled":[122,171],"images":[126],"separately":[127],"each":[129],"modality.":[130],"second":[133],"heterogeneous":[135],"learning":[136,161,168],"used":[138],"discriminative":[143],"by":[146],"distilling":[147],"from":[150],"pseudo-labels,":[152],"align":[154],"two":[155],"modalities":[156],"via":[157,169],"modality-based":[159,238],"consistent":[160],"module,":[162],"finally":[164],"target":[166],"modality-invariant":[167],"positive":[172],"instance":[173],"selection":[174],"module.":[175],"With":[176],"use":[178],"learning,":[181],"proposed":[183,233],"framework":[185],"greatly":[186,251],"reduces":[187],"modality":[189],"gap":[190],"thus":[192,243],"learns":[193],"robust":[195],"against":[198],"RGB":[199],"infrared":[201],"modalities,":[202],"leading":[203],"promising":[205],"accuracy.":[206],"We":[207],"also":[208],"novel":[211],"re-ranking":[213,234,241],"approach":[214,263],"includes":[216],"self-modality":[218],"search":[219,223],"cycle-modality":[222],"tailor":[225],"re-ID.":[228,254],"Unlike":[229],"conventional":[230],"re-ranking,":[231],"takes":[236],"constraint":[239],"into":[240],"select":[245],"reliable":[247],"nearest":[248],"neighbors,":[249],"improves":[252],"The":[255],"experimental":[256],"results":[257],"demonstrate":[258],"superiority":[260],"our":[262],"on":[264],"SYSU-MM01":[266],"RegDB":[268]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":39},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":4}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}