{"id":"https://openalex.org/W4414360649","doi":"https://doi.org/10.24963/ijcai.2025/116","title":"Base-Detail Feature Learning Framework for Visible-Infrared Person Re-Identification","display_name":"Base-Detail Feature Learning Framework for Visible-Infrared Person Re-Identification","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414360649","doi":"https://doi.org/10.24963/ijcai.2025/116"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/116","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","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/A5115076660","display_name":"Zhihao Gong","orcid":"https://orcid.org/0009-0003-5318-8473"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihao Gong","raw_affiliation_strings":["Harbin Institute of Technology(Shenzhen)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology(Shenzhen)","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100686313","display_name":"Lian Wu","orcid":"https://orcid.org/0000-0001-9779-4561"},"institutions":[{"id":"https://openalex.org/I4210087731","display_name":"Guizhou Education University","ror":"https://ror.org/002x6f380","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210087731"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lian Wu","raw_affiliation_strings":["GuiZhou Education University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GuiZhou Education University","institution_ids":["https://openalex.org/I4210087731"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010277066","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0001-7183-3155"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xu","raw_affiliation_strings":["Harbin Institute of Technology(Shenzhen)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology(Shenzhen)","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1035","last_page":"1043"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9297999739646912,"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":0.9279999732971191,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6172000169754028},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5945000052452087},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.517799973487854},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.5116000175476074},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.48829999566078186},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4738999903202057}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7299000024795532},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6172000169754028},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5945000052452087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5932000279426575},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.517799973487854},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.5116000175476074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5095000267028809},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.48829999566078186},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4738999903202057},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.382099986076355},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35260000824928284},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.33219999074935913},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.3206000030040741},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.25440001487731934}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/116","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Visible-infrared":[0],"person":[1],"re-identification":[2],"(VIReID)":[3],"provides":[4],"a":[5,61,95,102,111],"solution":[6],"for":[7],"ReID":[8],"tasks":[9],"in":[10,17],"24-hour":[11],"scenarios;":[12],"however,":[13],"significant":[14],"challenges":[15],"persist":[16],"achieving":[18],"satisfactory":[19],"performance":[20],"due":[21],"to":[22],"the":[23,69,86,118,138,145],"substantial":[24],"discrepancies":[25],"between":[26],"visible":[27],"(VIS)":[28],"and":[29,74,82,91,101,126,131,141],"infrared":[30],"(IR)":[31],"modalities.":[32],"Existing":[33],"methods":[34],"inadequately":[35],"leverage":[36],"information":[37,49],"from":[38,47],"different":[39],"modalities,":[40],"primarily":[41],"focusing":[42],"on":[43,79,137],"digging":[44],"distinguishing":[45],"features":[46,93,119],"modality-shared":[48,81],"while":[50],"neglecting":[51],"modality-specific":[52,83],"details.":[53],"To":[54],"fully":[55],"utilize":[56],"differentiated":[57],"minutiae,":[58],"we":[59],"propose":[60],"Base-Detail":[62],"Feature":[63],"Learning":[64],"Framework":[65],"(BDLF)":[66],"that":[67,116],"enhances":[68],"learning":[70],"of":[71,147],"both":[72,80,124],"base":[73,92,104,127],"detail":[75,90,97,125],"knowledge,":[76],"thereby":[77],"capitalizing":[78],"information.":[84],"Specifically,":[85],"proposed":[87],"BDLF":[88,122],"mines":[89],"through":[94],"lossless":[96],"feature":[98],"extraction":[99],"module":[100],"complementary":[103],"embedding":[105],"generation":[106],"mechanism,":[107],"respectively,":[108],"supported":[109],"by":[110,121],"novel":[112],"correlation":[113],"restriction":[114],"method":[115],"ensures":[117],"gained":[120],"enrich":[123],"knowledge":[128],"across":[129],"VIS":[130],"IR":[132],"features.":[133],"Comprehensive":[134],"experiments":[135],"conducted":[136],"SYSU-MM01,":[139],"RegDB,":[140],"LLCM":[142],"datasets":[143],"validate":[144],"effectiveness":[146],"BDLF.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}