{"id":"https://openalex.org/W7125894107","doi":"https://doi.org/10.1109/smc58881.2025.11342913","title":"Semantic Understanding-based Open-Scene Re-Identification","display_name":"Semantic Understanding-based Open-Scene Re-Identification","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125894107","doi":"https://doi.org/10.1109/smc58881.2025.11342913"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11342913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11342913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-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/A5124134115","display_name":"Zhengrui Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhengrui Zhang","raw_affiliation_strings":["Hangzhou International Innovation Institute, Beihang University,Data Science and Intelligent Computing Laboratory,Hangzhou,P.R.China,311115"],"affiliations":[{"raw_affiliation_string":"Hangzhou International Innovation Institute, Beihang University,Data Science and Intelligent Computing Laboratory,Hangzhou,P.R.China,311115","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066649783","display_name":"Shuai Wang","orcid":"https://orcid.org/0000-0001-7253-785X"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Wang","raw_affiliation_strings":["Hangzhou International Innovation Institute, Beihang University,Data Science and Intelligent Computing Laboratory,Hangzhou,P.R.China,311115"],"affiliations":[{"raw_affiliation_string":"Hangzhou International Innovation Institute, Beihang University,Data Science and Intelligent Computing Laboratory,Hangzhou,P.R.China,311115","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101818427","display_name":"Liu Xi","orcid":"https://orcid.org/0000-0002-7469-4151"},"institutions":[{"id":"https://openalex.org/I4210165649","display_name":"China Coal Research Institute (China)","ror":"https://ror.org/05dy2c135","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210165649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Liu","raw_affiliation_strings":["State Key Laboratory of Intelligent Coal Mining and Strata Contro,Beijing,P.R.China,100028"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Coal Mining and Strata Contro,Beijing,P.R.China,100028","institution_ids":["https://openalex.org/I4210165649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124065579","display_name":"Hao Sheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Sheng","raw_affiliation_strings":["Hangzhou International Innovation Institute, Beihang University,Data Science and Intelligent Computing Laboratory,Hangzhou,P.R.China,311115"],"affiliations":[{"raw_affiliation_string":"Hangzhou International Innovation Institute, Beihang University,Data Science and Intelligent Computing Laboratory,Hangzhou,P.R.China,311115","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048794386","display_name":"Da Yang","orcid":"https://orcid.org/0000-0001-5782-894X"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da Yang","raw_affiliation_strings":["Hangzhou International Innovation Institute, Beihang University,Data Science and Intelligent Computing Laboratory,Hangzhou,P.R.China,311115"],"affiliations":[{"raw_affiliation_string":"Hangzhou International Innovation Institute, Beihang University,Data Science and Intelligent Computing Laboratory,Hangzhou,P.R.China,311115","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124097383","display_name":"Guanqun Su","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152787","display_name":"Shandong Provincial Communications Planning and Design Institute (China)","ror":"https://ror.org/05k1xe006","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210152787"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanqun Su","raw_affiliation_strings":["Shandong Qingniao IIoT Co. Itd.,Jinan,P.R. China,250014"],"affiliations":[{"raw_affiliation_string":"Shandong Qingniao IIoT Co. Itd.,Jinan,P.R. China,250014","institution_ids":["https://openalex.org/I4210152787"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5124134115"],"corresponding_institution_ids":["https://openalex.org/I4210123185"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.71285334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1196","last_page":"1201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.42010000348091125,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.42010000348091125,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.31299999356269836,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.05739999935030937,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/field","display_name":"Field (mathematics)","score":0.49570000171661377},{"id":"https://openalex.org/keywords/semantic-annotation","display_name":"Semantic annotation","score":0.48910000920295715},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4496000111103058},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.38589999079704285},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.37220001220703125},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.3393000066280365},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.33550000190734863},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.32120001316070557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8076000213623047},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.49570000171661377},{"id":"https://openalex.org/C2985727698","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Semantic annotation","level":3,"score":0.48910000920295715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48750001192092896},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4496000111103058},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42010000348091125},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.38589999079704285},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.37220001220703125},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.3393000066280365},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.33550000190734863},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.32120001316070557},{"id":"https://openalex.org/C85407183","wikidata":"https://www.wikidata.org/wiki/Q1045785","display_name":"Semantic network","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.29510000348091125},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2791999876499176},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C2777946921","wikidata":"https://www.wikidata.org/wiki/Q7449044","display_name":"Semantic analysis (machine learning)","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C202708506","wikidata":"https://www.wikidata.org/wiki/Q7449050","display_name":"Semantic compression","level":5,"score":0.25999999046325684},{"id":"https://openalex.org/C2778464652","wikidata":"https://www.wikidata.org/wiki/Q309849","display_name":"Open research","level":2,"score":0.2572999894618988}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11342913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11342913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4050958752632141,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2135442311","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2511791013","https://openalex.org/W2519904008","https://openalex.org/W2526833393","https://openalex.org/W2560647685","https://openalex.org/W2736410039","https://openalex.org/W2743151379","https://openalex.org/W2795758732","https://openalex.org/W2953759675","https://openalex.org/W2963446712","https://openalex.org/W4214736485","https://openalex.org/W4226104430","https://openalex.org/W4308871924","https://openalex.org/W4312533058","https://openalex.org/W4312628344","https://openalex.org/W4382460786","https://openalex.org/W4390970425","https://openalex.org/W4401609774"],"related_works":[],"abstract_inverted_index":{"Although":[0],"current":[1],"ReID":[2,31,70],"(Re-Identification)":[3],"methods":[4],"have":[5],"become":[6],"relatively":[7],"mature,":[8],"they":[9,46],"still":[10,47],"require":[11],"manual":[12],"extraction":[13],"of":[14,19,52,89,125,153,156,172,179],"pedestrian":[15],"images":[16],"and":[17,43,55,100,132,134,160],"annotation":[18],"features.":[20],"They":[21],"lack":[22],"semantic":[23,53,66,87,137],"understanding":[24,54,138],"capabilities":[25,139],"in":[26,50,71,91,140,176],"open":[27,72,92,141],"scenes.":[28,73,93],"While":[29],"some":[30],"models":[32,175],"integrated":[33],"with":[34,80,110],"LLMs":[35],"(Large":[36,77],"Language":[37],"Models)":[38],"offer":[39],"more":[40,98],"comprehensive":[41],"functions":[42],"better":[44],"performance,":[45],"fall":[48],"short":[49],"terms":[51],"cross-modal":[56,144],"retrieval.":[57,145],"To":[58],"solve":[59],"these":[60],"problems,":[61],"we":[62],"introduce":[63],"SUO-ReID,":[64],"a":[65,150],"understanding-based":[67],"approach":[68],"for":[69,106],"SUO-ReID":[74,120],"combines":[75],"LVLM":[76],"Vision-Language":[78],"Model)":[79],"ResNet":[81],"(Residual":[82],"Network)":[83],"to":[84],"extract":[85],"high-level":[86],"features":[88,155],"targets":[90,109],"It":[94,146],"can":[95,147],"also":[96,148],"perform":[97],"flexible":[99],"complex":[101],"functions,":[102],"such":[103,129],"as":[104,130],"searching":[105],"or":[107],"comparing":[108],"specified":[111],"features,":[112],"through":[113],"instruction":[114],"inputs.":[115],"Experimental":[116],"results":[117],"show":[118],"that":[119],"achieves":[121],"an":[122],"accuracy":[123],"rate":[124],"95.73%":[126],"on":[127],"datasets":[128],"Market-1501":[131],"DukeMTMC":[133],"exhibits":[135],"excellent":[136],"scenes,":[142],"supporting":[143],"provide":[149],"detailed":[151],"description":[152],"the":[154,157,170,177],"identified":[158],"object":[159],"its":[161],"surrounding":[162],"scene.":[163],"This":[164],"study":[165],"provides":[166],"new":[167],"insights":[168],"into":[169],"application":[171],"large":[173],"vision-language":[174],"field":[178],"ReID.":[180]},"counts_by_year":[],"updated_date":"2026-01-29T23:17:01.242718","created_date":"2026-01-29T00:00:00"}