{"id":"https://openalex.org/W4408347210","doi":"https://doi.org/10.1109/icassp49660.2025.10890735","title":"Negative Learning and Dual Contrastive for Unsupervised Visible-Infrared Person Re-identification","display_name":"Negative Learning and Dual Contrastive for Unsupervised Visible-Infrared Person Re-identification","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408347210","doi":"https://doi.org/10.1109/icassp49660.2025.10890735"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101718354","display_name":"Jiajia Xu","orcid":"https://orcid.org/0000-0002-6701-3805"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajia Xu","raw_affiliation_strings":["South China University of Technology,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027872024","display_name":"Xuemiao Xu","orcid":"https://orcid.org/0000-0002-8006-3663"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemiao Xu","raw_affiliation_strings":["South China University of Technology,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072820730","display_name":"Weiwei Cai","orcid":"https://orcid.org/0000-0001-6795-6152"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Cai","raw_affiliation_strings":["South China University of Technology,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991000294685364,"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":0.9991000294685364,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9487000107765198,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10036","display_name":"Advanced Neural Network Applications","score":0.9419000148773193,"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/identification","display_name":"Identification (biology)","score":0.6708807945251465},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6649438738822937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5946080684661865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5942877531051636},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5103580355644226},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39348334074020386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.359951913356781},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09379366040229797},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06656888127326965}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6708807945251465},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6649438738822937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5946080684661865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5942877531051636},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5103580355644226},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39348334074020386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.359951913356781},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09379366040229797},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06656888127326965},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890735","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2596603442","https://openalex.org/W2777534232","https://openalex.org/W2981952612","https://openalex.org/W3173902027","https://openalex.org/W3185386766","https://openalex.org/W4312236429","https://openalex.org/W4312302306","https://openalex.org/W4386065638","https://openalex.org/W4386280813","https://openalex.org/W4387968796","https://openalex.org/W4387969539","https://openalex.org/W4390415050","https://openalex.org/W4390874481","https://openalex.org/W4390874685","https://openalex.org/W4393159311","https://openalex.org/W4405783129","https://openalex.org/W6792400148","https://openalex.org/W6844194202","https://openalex.org/W6846133279"],"related_works":["https://openalex.org/W2317351040","https://openalex.org/W2898732673","https://openalex.org/W3196155444","https://openalex.org/W4321844043","https://openalex.org/W3210156800","https://openalex.org/W4390062853","https://openalex.org/W4297883248","https://openalex.org/W4255830763","https://openalex.org/W1583266947","https://openalex.org/W4286799911"],"abstract_inverted_index":{"Unsupervised":[0],"visible-infrared":[1],"person":[2,9],"re-identification":[3],"(US-VI-ReID)":[4],"aims":[5],"to":[6,58,75,88,110],"identify":[7],"target":[8],"images":[10],"from":[11],"different":[12],"modalities":[13],"without":[14],"requiring":[15],"annotations.":[16],"Existing":[17],"works":[18],"generally":[19],"learn":[20,60],"modality-invariant":[21],"features":[22],"by":[23],"using":[24],"pseudo-labels.":[25],"However,":[26],"the":[27,34,96,118,124],"inherent":[28],"noise":[29],"in":[30],"these":[31,38,46],"labels":[32,74],"misleads":[33],"network\u2019s":[35],"training.":[36],"Besides,":[37],"methods":[39],"neglect":[40],"more":[41],"fine-grained":[42,112],"information.":[43],"To":[44],"address":[45],"issues,":[47],"we":[48,65,101],"proposed":[49,128],"a":[50,67,83],"Negative":[51],"Learning":[52],"and":[53,105,120],"Dual":[54],"Contrastive":[55],"(NLDC)":[56],"framework":[57],"efficiently":[59],"invariant":[61],"feature":[62,113],"representations.":[63],"Specifically,":[64],"introduced":[66],"cross-modal":[68],"negative":[69,97],"learning":[70,98],"method":[71],"with":[72],"complementary":[73,91],"robustly":[76],"handle":[77],"label":[78,85,92],"noise.":[79],"We":[80],"also":[81],"designed":[82],"low-similarity":[84],"selection":[86],"strategy":[87],"construct":[89],"reliable":[90],"sets,":[93],"which":[94],"support":[95],"process.":[99],"Additionally,":[100],"introduce":[102],"both":[103],"intra-modality":[104],"inter-modality":[106],"instance":[107],"contrastive":[108],"losses":[109],"achieve":[111],"alignment.":[114],"Experimental":[115],"results":[116],"on":[117],"SYSU-MM01":[119],"RegDB":[121],"datasets":[122],"demonstrate":[123],"effectiveness":[125],"of":[126],"our":[127],"method,":[129],"achieving":[130],"competitive":[131],"performance.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
