{"id":"https://openalex.org/W7138063683","doi":"https://doi.org/10.1609/aaai.v40i16.38380","title":"Hierarchical Prompt Learning for Image- and Text-Based Person Re-Identification","display_name":"Hierarchical Prompt Learning for Image- and Text-Based Person Re-Identification","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138063683","doi":"https://doi.org/10.1609/aaai.v40i16.38380"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i16.38380","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i16.38380","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i16.38380","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101266399","display_name":"Linhan Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Linhan Zhou","raw_affiliation_strings":["Kunmimg University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Kunmimg University of Science and Technology","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129732801","display_name":"Shuang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Li","raw_affiliation_strings":["Chongqing University of Post and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Post and Telecommunications","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023003396","display_name":"Neng Dong","orcid":"https://orcid.org/0000-0001-5523-1082"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Neng Dong","raw_affiliation_strings":["Nanjing University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129644413","display_name":"Yonghang Tai","orcid":null},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghang Tai","raw_affiliation_strings":["Yunnan Normal University"],"affiliations":[{"raw_affiliation_string":"Yunnan Normal University","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129697713","display_name":"Yafei Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yafei Zhang","raw_affiliation_strings":["Kunmimg University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Kunmimg University of Science and Technology","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129661640","display_name":"Huafeng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huafeng Li","raw_affiliation_strings":["Kunmimg University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Kunmimg University of Science and Technology","institution_ids":["https://openalex.org/I10660446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101266399"],"corresponding_institution_ids":["https://openalex.org/I10660446"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3619403,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"16","first_page":"13728","last_page":"13736"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.935699999332428,"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":0.935699999332428,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.016699999570846558,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.005100000184029341,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/discriminative-model","display_name":"Discriminative model","score":0.6371999979019165},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6154999732971191},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.47620001435279846},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4629000127315521},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.414900004863739},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.3995000123977661},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.37380000948905945},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.36579999327659607}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8313999772071838},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6371999979019165},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6154999732971191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6134999990463257},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.47620001435279846},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4629000127315521},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.414900004863739},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.3995000123977661},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.397599995136261},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.37380000948905945},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.36579999327659607},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3522000014781952},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3264999985694885},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.32120001316070557},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3203999996185303},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2856000065803528},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.2791999876499176},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.25760000944137573}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i16.38380","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i16.38380","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i16.38380","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i16.38380","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7504713535308838,"display_name":"Reduced inequalities"}],"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],"aims":[3],"to":[4,54,78,100,157],"retrieve":[5],"target":[6],"pedestrian":[7],"images":[8],"given":[9],"either":[10],"visual":[11,98],"queries":[12],"(image-to-image,":[13],"I2I)":[14],"or":[15,135],"textual":[16],"descriptions":[17],"(text-to-image,":[18],"T2I).":[19],"Although":[20],"both":[21,81,192],"tasks":[22,49],"share":[23],"a":[24,65,87,96,115,152],"common":[25],"retrieval":[26],"objective,":[27],"they":[28],"pose":[29],"distinct":[30],"challenges:":[31],"I2I":[32,104,193],"emphasizes":[33],"discriminative":[34],"identity":[35],"learning,":[36],"while":[37,172],"T2I":[38,106,195],"requires":[39],"accurate":[40],"cross-modal":[41,174],"semantic":[42,159],"alignment.":[43],"Existing":[44],"methods":[45],"often":[46],"treat":[47],"these":[48],"separately,":[50],"which":[51,73,90],"may":[52],"lead":[53],"representation":[55],"entanglement":[56],"and":[57,105,194],"suboptimal":[58],"performance.":[59],"To":[60],"address":[61],"this,":[62,112],"we":[63,84,113,150],"propose":[64,151],"unified":[66],"framework":[67],"named":[68],"Hierarchical":[69],"Prompt":[70,154],"Learning":[71],"(HPL),":[72],"leverages":[74],"task-aware":[75],"prompt":[76,117,163],"modeling":[77],"jointly":[79],"optimize":[80],"tasks.":[82,196],"Specifically,":[83],"first":[85],"introduce":[86],"Task-Routed":[88],"Transformer,":[89],"incorporates":[91],"dual":[92],"classification":[93],"tokens":[94,124],"into":[95,146],"shared":[97],"encoder":[99],"route":[101],"features":[102,137],"for":[103],"branches":[107],"respectively.":[108],"On":[109],"top":[110],"of":[111,185],"develop":[114],"hierarchical":[116],"generation":[118],"scheme":[119],"that":[120,167],"integrates":[121],"identity-level":[122],"learnable":[123],"with":[125],"instance-level":[126],"pseudo-text":[127],"tokens.":[128],"These":[129],"pseudo-tokens":[130],"are":[131],"derived":[132],"from":[133],"image":[134],"text":[136],"via":[138],"modality-specific":[139],"inversion":[140],"networks,":[141],"injecting":[142],"fine-grained,":[143],"instance-specific":[144],"semantics":[145],"the":[147,162,183],"prompts.":[148],"Furthermore,":[149],"Cross-Modal":[153],"Regularization":[155],"strategy":[156],"enforce":[158],"alignment":[160],"in":[161],"token":[164],"space,":[165],"ensuring":[166],"pseudo-prompts":[168],"preserve":[169],"source-modality":[170],"characteristics":[171],"enhancing":[173],"transferability.":[175],"Extensive":[176],"experiments":[177],"on":[178,191],"multiple":[179],"ReID":[180],"benchmarks":[181],"validate":[182],"effectiveness":[184],"our":[186],"method,":[187],"achieving":[188],"state-of-the-art":[189],"performance":[190]},"counts_by_year":[],"updated_date":"2026-03-20T20:47:17.329874","created_date":"2026-03-18T00:00:00"}