{"id":"https://openalex.org/W4412795929","doi":"https://doi.org/10.1109/tifs.2025.3594558","title":"Implicit Alignment-Based Cross-Modal Symbiotic Network for Text-to-Image Person Re-Identification","display_name":"Implicit Alignment-Based Cross-Modal Symbiotic Network for Text-to-Image Person Re-Identification","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412795929","doi":"https://doi.org/10.1109/tifs.2025.3594558"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2025.3594558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2025.3594558","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Information Forensics and Security","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/A5027242644","display_name":"Rui Sun","orcid":"https://orcid.org/0000-0002-1547-161X"},"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":"Rui Sun","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-1547-161X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102032197","display_name":"Yun Du","orcid":"https://orcid.org/0009-0005-3422-0751"},"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":"Yun Du","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0005-3422-0751","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043523761","display_name":"Guoxi Huang","orcid":null},"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":"Guoxi Huang","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0000-5544-1354","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xuebin Wang","orcid":"https://orcid.org/0009-0005-5010-7986"},"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":"Xuebin Wang","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0005-5010-7986","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014956557","display_name":"Jingjing Wu","orcid":"https://orcid.org/0000-0002-3818-4277"},"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":"Jingjing Wu","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-3818-4277","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer and Information, Anhui Province Key Laboratory of Industry Safety and Emergency Technology, Key Laboratory of Knowledge Engineering with Big Data (Ministry of Education), Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14432959,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"8069","last_page":"8082"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9940999746322632,"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":0.9926000237464905,"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":0.7922488451004028},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6268141865730286},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6229320764541626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.561067521572113},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.451627641916275},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4379284381866455},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3881679177284241},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37021318078041077},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3501095175743103}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7922488451004028},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6268141865730286},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6229320764541626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.561067521572113},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.451627641916275},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4379284381866455},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3881679177284241},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37021318078041077},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3501095175743103},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2025.3594558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2025.3594558","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6635419726","display_name":null,"funder_award_id":"PA2025GDSK0079","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7176430019","display_name":null,"funder_award_id":"62302142","funder_id":"https://openalex.org/F4320333688","funder_display_name":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China"},{"id":"https://openalex.org/G7592916389","display_name":null,"funder_award_id":"2208085MF158","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G8204852608","display_name":null,"funder_award_id":"2022M720981","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8982490873","display_name":null,"funder_award_id":"61876057","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/F4320333688","display_name":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China","ror":null},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W2801814609","https://openalex.org/W2883311563","https://openalex.org/W2885709146","https://openalex.org/W2894786240","https://openalex.org/W2963047834","https://openalex.org/W2963449390","https://openalex.org/W2963882743","https://openalex.org/W2981384185","https://openalex.org/W2997421053","https://openalex.org/W2998792609","https://openalex.org/W3015686580","https://openalex.org/W3024059432","https://openalex.org/W3090449556","https://openalex.org/W3095440956","https://openalex.org/W3120182027","https://openalex.org/W3125736290","https://openalex.org/W3147954272","https://openalex.org/W3165835426","https://openalex.org/W3184033217","https://openalex.org/W3198377975","https://openalex.org/W3206868111","https://openalex.org/W3212456749","https://openalex.org/W4200633094","https://openalex.org/W4283818632","https://openalex.org/W4297821751","https://openalex.org/W4304087170","https://openalex.org/W4321231469","https://openalex.org/W4366668491","https://openalex.org/W4366851068","https://openalex.org/W4385245566","https://openalex.org/W4386065462","https://openalex.org/W4386758381","https://openalex.org/W4387448536","https://openalex.org/W4387969364","https://openalex.org/W4388145471","https://openalex.org/W4389331836","https://openalex.org/W4390691448","https://openalex.org/W4392903070","https://openalex.org/W4393154149","https://openalex.org/W4393158793","https://openalex.org/W4399852298","https://openalex.org/W4402702979","https://openalex.org/W4411245246","https://openalex.org/W6755207826","https://openalex.org/W6788774013","https://openalex.org/W6789753369","https://openalex.org/W6790019176","https://openalex.org/W6791353385","https://openalex.org/W6798805250","https://openalex.org/W6798810632","https://openalex.org/W6803953248","https://openalex.org/W6811013733"],"related_works":["https://openalex.org/W2898732673","https://openalex.org/W2379392295","https://openalex.org/W3160965418","https://openalex.org/W2410053581","https://openalex.org/W613940353","https://openalex.org/W2383658677","https://openalex.org/W3123203398","https://openalex.org/W2320915480","https://openalex.org/W2362990116","https://openalex.org/W2381300099"],"abstract_inverted_index":{"Text-to-image":[0],"person":[1,11],"re-identification":[2],"aims":[3],"to":[4,8,58,88,120,150,168,206],"utilize":[5],"textual":[6],"descriptions":[7],"retrieve":[9],"specific":[10],"images":[12,74,128,195],"from":[13,127],"large":[14],"image":[15,159],"databases.":[16],"The":[17],"core":[18],"challenge":[19],"of":[20,33,38,47,75,155,175,198,230],"this":[21,98],"task":[22],"lies":[23],"in":[24,68,81,91],"the":[25,30,36,76,79,89,134,138,156,172,176,199,207,217],"significant":[26],"feature":[27,82,135,178],"differences":[28,90],"between":[29,137],"abstract":[31],"nature":[32],"text":[34,92,157],"and":[35,56,61,65,123,129,158,170,196,209,227,232],"intuitiveness":[37],"images.":[39],"Existing":[40],"solutions":[41],"primarily":[42],"rely":[43],"on":[44,107,216],"explicit":[45],"alignment":[46],"global":[48],"or":[49],"fine-grained":[50],"local":[51],"features,":[52,160],"which":[53,189],"lack":[54],"flexibility":[55],"struggle":[57],"effectively":[59],"capture":[60],"leverage":[62],"subtle":[63],"features":[64,126],"relationship":[66],"information":[67,205],"multimodal":[69],"data.":[70],"Particularly,":[71],"for":[72],"different":[73],"same":[77,200],"person,":[78],"emphasis":[80],"extraction":[83],"should":[84],"be":[85],"adjusted":[86],"according":[87],"descriptions.":[93],"To":[94],"address":[95],"these":[96],"issues,":[97],"paper":[99],"proposes":[100],"a":[101,142,152,162,183],"Cross-Modal":[102],"Symbiotic":[103],"Network":[104],"(CMSN)":[105],"based":[106],"implicit":[108],"alignment.":[109],"First,":[110],"CMSN":[111,222],"employs":[112],"an":[113,224],"Implicit":[114],"Multi-scale":[115],"Feature":[116],"Integration":[117],"(IMFI)":[118],"module":[119,147],"implicitly":[121],"extract":[122],"fuse":[124],"multiscale":[125],"text,":[130],"thereby":[131],"adaptively":[132],"capturing":[133],"relationships":[136],"two":[139],"modalities.":[140],"Second,":[141],"Combined":[143],"Representation":[144],"Learning":[145],"(CRL)":[146],"is":[148],"used":[149],"produce":[151],"combined":[153],"representation":[154],"utilizing":[161],"Combined-Representation":[163],"Identity":[164],"Alignment":[165],"(CRIA)":[166],"loss":[167,187],"align":[169],"constrain":[171],"identity":[173],"centers":[174],"three":[177],"vectors.":[179],"Finally,":[180],"we":[181],"design":[182],"Semi-Positive":[184],"Triplet":[185],"(SPT)":[186],"function,":[188],"defines":[190],"semi-positive":[191],"samples":[192],"using":[193],"other":[194],"texts":[197],"identity,":[201],"providing":[202],"additional":[203],"supervisory":[204],"model":[208],"further":[210],"reducing":[211],"modality":[212],"heterogeneity.":[213],"Extensive":[214],"experiments":[215],"CUHK-PEDES":[218],"dataset":[219],"demonstrate":[220],"that":[221],"achieves":[223],"impressive":[225],"Rank-1":[226],"mAP":[228],"accuracy":[229],"76.46%":[231],"70.28%,":[233],"respectively,":[234],"significantly":[235],"outperforming":[236],"existing":[237],"SOTA":[238],"methods.":[239]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}