{"id":"https://openalex.org/W4393864501","doi":"https://doi.org/10.1109/tim.2024.3384558","title":"Pose-Guided Modality-Invariant Feature Alignment for Visible\u2013Infrared Object Re-Identification","display_name":"Pose-Guided Modality-Invariant Feature Alignment for Visible\u2013Infrared Object Re-Identification","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4393864501","doi":"https://doi.org/10.1109/tim.2024.3384558"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3384558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3384558","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5100343854","display_name":"Min Liu","orcid":"https://orcid.org/0000-0001-6406-4896"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Liu","raw_affiliation_strings":["College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014123633","display_name":"Yeqing Sun","orcid":"https://orcid.org/0009-0005-0758-7363"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yeqing Sun","raw_affiliation_strings":["College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100683380","display_name":"Xueping Wang","orcid":"https://orcid.org/0000-0003-4862-8975"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueping Wang","raw_affiliation_strings":["College of Information Science and Engineering and Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, Hunan, China","College of Information Science and Engineering, Hunan Normal University, and Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering and Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I173759888"]},{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, and Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Changsha, Hunan, China","institution_ids":["https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010816880","display_name":"\u5143 \u6e21\u8fba","orcid":"https://orcid.org/0000-0003-3995-4402"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Bian","raw_affiliation_strings":["College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102848591","display_name":"Zhu Zhang","orcid":"https://orcid.org/0009-0000-8818-4016"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhu Zhang","raw_affiliation_strings":["College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025640070","display_name":"Yaonan Wang","orcid":"https://orcid.org/0000-0002-0519-6458"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaonan Wang","raw_affiliation_strings":["College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100343854"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":6.0491,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.95377936,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9575999975204468,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9264000058174133,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.671234667301178},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6462995409965515},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5625227093696594},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5164187550544739},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.46925756335258484},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.45107948780059814},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4497036933898926},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4317706823348999},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.4189733862876892},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.36160096526145935},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.24076151847839355},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.19947075843811035}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.671234667301178},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6462995409965515},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5625227093696594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5164187550544739},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.46925756335258484},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.45107948780059814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4497036933898926},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4317706823348999},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.4189733862876892},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.36160096526145935},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.24076151847839355},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.19947075843811035},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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/tim.2024.3384558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3384558","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1259047040","display_name":null,"funder_award_id":"62073126","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1416650771","display_name":null,"funder_award_id":"2023JJ40449","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G1850154686","display_name":null,"funder_award_id":"2022M721120","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3687505393","display_name":null,"funder_award_id":"2024JJ3013","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G6118170862","display_name":null,"funder_award_id":"62203168","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2502225121","https://openalex.org/W2596603442","https://openalex.org/W2598634450","https://openalex.org/W2777534232","https://openalex.org/W2808134123","https://openalex.org/W2916798096","https://openalex.org/W2954773727","https://openalex.org/W2962730651","https://openalex.org/W2963588253","https://openalex.org/W2970390221","https://openalex.org/W2981393440","https://openalex.org/W2985033611","https://openalex.org/W2996878574","https://openalex.org/W2997877744","https://openalex.org/W2998792609","https://openalex.org/W3034494316","https://openalex.org/W3034611771","https://openalex.org/W3035539956","https://openalex.org/W3049045914","https://openalex.org/W3106715802","https://openalex.org/W3107848599","https://openalex.org/W3125736290","https://openalex.org/W3127553939","https://openalex.org/W3139438386","https://openalex.org/W3155080005","https://openalex.org/W3176633985","https://openalex.org/W3183523885","https://openalex.org/W3194065175","https://openalex.org/W3202750592","https://openalex.org/W3202788649","https://openalex.org/W3204075450","https://openalex.org/W3204913553","https://openalex.org/W3207905476","https://openalex.org/W3210946531","https://openalex.org/W4200343840","https://openalex.org/W4214891830","https://openalex.org/W4286858783","https://openalex.org/W4304091801","https://openalex.org/W4308738141","https://openalex.org/W4312311094","https://openalex.org/W4312700302","https://openalex.org/W4312753547","https://openalex.org/W4312802153","https://openalex.org/W4312936309","https://openalex.org/W4319999896","https://openalex.org/W4366668491","https://openalex.org/W4382467684","https://openalex.org/W4385581784","https://openalex.org/W4390120014","https://openalex.org/W4391467966","https://openalex.org/W6676663998","https://openalex.org/W6802812852"],"related_works":["https://openalex.org/W2385859805","https://openalex.org/W2530972254","https://openalex.org/W2374013449","https://openalex.org/W73545470","https://openalex.org/W2364381299","https://openalex.org/W2374430585","https://openalex.org/W3144423903","https://openalex.org/W2139834217","https://openalex.org/W2100099236","https://openalex.org/W1575585820"],"abstract_inverted_index":{"Visible-infrared":[0],"object":[1,11],"re-identification":[2],"(VI-ReID)":[3],"is":[4,18,86,112,157,244],"the":[5,9,22,27,41,49,92,100,127,133,142,146,161,183,209,212,217,223,226],"task":[6,25],"of":[7,66,141,211],"identifying":[8],"same":[10,143,147],"across":[12],"cameras":[13],"with":[14],"different":[15,103],"modalities.":[16,104],"It":[17],"more":[19],"challenging":[20,206],"than":[21],"common":[23],"ReID":[24,134],"since":[26],"complex":[28],"intra-class":[29,93,128],"interference":[30,94,129],"and":[31,98,131,175,198,235],"large":[32],"modality":[33,58,97,163,184],"divergence.":[34],"Existing":[35],"works":[36],"mainly":[37],"tend":[38],"to":[39,47,62,72,114,136,159,216],"adopt":[40],"instance-level":[42],"or":[43,52],"modality-center-level":[44],"metric":[45],"learning":[46],"extract":[48],"global":[50],"features":[51,55,140],"rigid":[53],"local":[54],"without":[56],"considering":[57],"alignment":[59],"comprehensively,":[60],"leading":[61],"a":[63,75,106,150],"limited":[64],"capacity":[65],"modality-invariant":[67],"feature":[68,116,173],"learning.":[69],"In":[70],"response":[71],"these":[73],"challenges,":[74],"new":[76],"approach":[77,214,228],"for":[78,232,237],"VI-ReID":[79],"called":[80],"Pose-guided":[81,107],"Modality-invariant":[82],"Feature":[83,108,152],"Alignment":[84,153],"(PMFA)":[85],"proposed,":[87],"which":[88,124],"can":[89,125,229],"simultaneously":[90],"eliminate":[91,126],"in":[95],"each":[96],"bridge":[99],"gap":[101,185],"between":[102],"Specifically,":[105],"Enhancement":[109],"(PFE)":[110],"block":[111],"presented":[113],"enhance":[115],"discrimination":[117],"by":[118],"introducing":[119],"person":[120,144],"key":[121],"part":[122],"features,":[123],"effectively":[130],"guide":[132],"model":[135],"learn":[137],"cross-modality":[138],"consistent":[139],"at":[145,246],"time.":[148],"Besides,":[149],"Modal":[151],"Learning":[154],"(MFAL)":[155],"method":[156],"proposed":[158],"address":[160],"substantial":[162],"differences":[164],"from":[165,186],"two":[166,205],"perspectives,":[167],"<italic":[168],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[169],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">i.e</i>":[170],".,":[171],"aligning":[172],"distributions":[174],"hierarchical":[176],"aggregation.":[177],"The":[178,241],"design":[179],"not":[180],"only":[181],"narrows":[182],"an":[187],"explicit":[188],"distribution":[189],"discrepancy":[190],"perspective":[191],"but":[192],"also":[193],"comprehensively":[194],"considers":[195],"both":[196],"intra-modality":[197],"inter-modality":[199],"constraints.":[200],"Comprehensive":[201],"experiments":[202],"conducted":[203],"on":[204,222],"datasets":[207],"demonstrate":[208],"superiority":[210],"PMFA":[213,227],"compared":[215],"latest":[218],"state-of-the-art":[219],"methods.":[220],"Particularly":[221],"SYSU-MM01":[224],"dataset,":[225],"achieve":[230],"74.22%":[231],"Rank-1":[233],"accuracy":[234],"70.27%":[236],"mAP":[238],"score,":[239],"respectively.":[240],"source":[242],"code":[243],"available":[245],"https://github.com/syq2021/PMFA.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
