{"id":"https://openalex.org/W4414598809","doi":"https://doi.org/10.48550/arxiv.2509.11247","title":"Contextualized Multimodal Lifelong Person Re-Identification in Hybrid Clothing States","display_name":"Contextualized Multimodal Lifelong Person Re-Identification in Hybrid Clothing States","publication_year":2025,"publication_date":"2025-09-14","ids":{"openalex":"https://openalex.org/W4414598809","doi":"https://doi.org/10.48550/arxiv.2509.11247"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2509.11247","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.11247","pdf_url":"https://arxiv.org/pdf/2509.11247","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2509.11247","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112818476","display_name":"Robert Long","orcid":"https://orcid.org/0000-0002-3067-671X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Long, Robert","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028024624","display_name":"Rongxin Jiang","orcid":"https://orcid.org/0000-0001-7901-3047"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Rongxin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5015834408","display_name":"Mingrui Yan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan, Mingrui","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112818476"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9394000172615051,"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/T11448","display_name":"Face recognition and analysis","score":0.9394000172615051,"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/clothing","display_name":"Clothing","score":0.6392999887466431},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5898000001907349},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5745999813079834},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.5741000175476074},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47350001335144043},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4569999873638153},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.41119998693466187},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4056999981403351}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6694999933242798},{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.6392999887466431},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5898000001907349},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5745999813079834},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.5741000175476074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5720000267028809},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47350001335144043},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4569999873638153},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4521999955177307},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.41119998693466187},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4056999981403351},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.38679999113082886},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.374099999666214},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2847999930381775},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2808000147342682},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2621000111103058},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.2614000141620636}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2509.11247","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.11247","pdf_url":"https://arxiv.org/pdf/2509.11247","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2509.11247","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2509.11247","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2509.11247","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.11247","pdf_url":"https://arxiv.org/pdf/2509.11247","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Person":[0],"Re-Identification":[1],"(ReID)":[2],"has":[3],"several":[4],"challenges":[5],"in":[6,72],"real-world":[7],"surveillance":[8],"systems":[9],"due":[10],"to":[11,64,83,115],"clothing":[12,175],"changes":[13],"(CCReID)":[14],"and":[15,68,78,111,125,130,161,172,177],"the":[16,54,58,84,139],"need":[17],"for":[18,30],"maintaining":[19],"continual":[20,74],"learning":[21,71],"(LReID).":[22],"Previous":[23],"existing":[24],"methods":[25,168],"either":[26],"develop":[27],"models":[28],"specifically":[29],"one":[31,81],"application,":[32],"which":[33,133],"is":[34],"mostly":[35],"a":[36,62,73,94,142,156,178],"same-cloth":[37],"(SC)":[38],"setting":[39],"or":[40],"treat":[41],"CCReID":[42],"as":[43],"its":[44],"own":[45],"separate":[46],"sub-problem.":[47],"In":[48],"this":[49,91],"work,":[50],"we":[51,89],"will":[52],"introduce":[53],"LReID-Hybrid":[55],"task":[56,82],"with":[57,92,121,148,169],"goal":[59],"of":[60,98,141,159,181],"developing":[61],"model":[63],"achieve":[65],"both":[66],"SC":[67],"CC":[69],"while":[70],"setting.":[75],"Mismatched":[76],"representations":[77],"forgetting":[79],"from":[80],"next":[85],"are":[86],"significant":[87],"issues,":[88],"address":[90],"CMLReID,":[93],"CLIP-based":[95],"framework":[96],"composed":[97],"two":[99],"novel":[100],"tasks:":[101],"(1)":[102],"Context-Aware":[103],"Semantic":[104],"Prompt":[105],"(CASP)":[106],"that":[107,145,163],"generates":[108],"adaptive":[109],"prompts,":[110],"also":[112],"incorporates":[113],"context":[114],"align":[116],"richly":[117],"multi-grained":[118],"visual":[119],"cues":[120],"semantic":[122],"text":[123],"space;":[124],"(2)":[126],"Adaptive":[127],"Knowledge":[128],"Fusion":[129],"Projection":[131,151],"(AKFP)":[132],"produces":[134],"robust":[135],"SC/CC":[136],"prototypes":[137],"through":[138],"use":[140],"dual-path":[143],"learner":[144],"aligns":[146],"features":[147],"our":[149],"Clothing-State-Aware":[150],"Loss.":[152],"Experiments":[153],"performed":[154],"on":[155],"wide":[157],"range":[158],"datasets":[160],"illustrate":[162],"CMLReID":[164],"outperforms":[165],"all":[166],"state-of-the-art":[167],"strong":[170],"robustness":[171],"generalization":[173],"despite":[174],"variations":[176],"sophisticated":[179],"process":[180],"sequential":[182],"learning.":[183]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
