{"id":"https://openalex.org/W7202046652","doi":"https://doi.org/10.1049/cvi2.70081","title":"UniPAR: A Unified Framework for Pedestrian Attribute Recognition","display_name":"UniPAR: A Unified Framework for Pedestrian Attribute Recognition","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7202046652","doi":"https://doi.org/10.1049/cvi2.70081"},"language":"en","primary_location":{"id":"doi:10.1049/cvi2.70081","doi":"https://doi.org/10.1049/cvi2.70081","is_oa":true,"landing_page_url":"https://doi.org/10.1049/cvi2.70081","pdf_url":null,"source":{"id":"https://openalex.org/S166929102","display_name":"IET Computer Vision","issn_l":"1751-9632","issn":["1751-9632","1751-9640"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["ccf-c","cwts-core","doaj","dongbi-c","jufo-1","norway-1","oarl","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Computer Vision","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1049/cvi2.70081","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128220009","display_name":"Minghe Xu","orcid":"https://orcid.org/0009-0008-5842-6748","observed_orcids":["https://orcid.org/0009-0008-5842-6748"]},"institutions":[{"id":"https://openalex.org/I4405281264","display_name":"Zhuhai College of Science and Technology","ror":"https://ror.org/0440ra149","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405281264"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"Minghe Xu","raw_affiliation_strings":["Faculty of Data Science City University of Macau  Macau SAR China","School of Big Data Zhuhai College of Science and Technology  Zhuhai China"],"raw_orcid":"https://orcid.org/0009-0008-5842-6748","affiliations":[{"raw_affiliation_string":"Faculty of Data Science City University of Macau  Macau SAR China","institution_ids":["https://openalex.org/I6469544"]},{"raw_affiliation_string":"School of Big Data Zhuhai College of Science and Technology  Zhuhai China","institution_ids":["https://openalex.org/I4405281264"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109682433","display_name":"Rouying Wu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405281264","display_name":"Zhuhai College of Science and Technology","ror":"https://ror.org/0440ra149","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405281264"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rouying Wu","raw_affiliation_strings":["School of Big Data Zhuhai College of Science and Technology  Zhuhai China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data Zhuhai College of Science and Technology  Zhuhai China","institution_ids":["https://openalex.org/I4405281264"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100548670","display_name":"Jiarui Xu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiarui Xu","raw_affiliation_strings":["School of Computer Science and Technology Anhui University  Hefei China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology Anhui University  Hefei China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128252006","display_name":"Minhao Sun","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minhao Sun","raw_affiliation_strings":["School of Computer Science and Technology Anhui University  Hefei China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology Anhui University  Hefei China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122751482","display_name":"Zikang Yan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zikang Yan","raw_affiliation_strings":["School of Computer Science and Technology Anhui University  Hefei China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology Anhui University  Hefei China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5146231505","display_name":"Xiao Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Wang","raw_affiliation_strings":["School of Computer Science and Technology Anhui University  Hefei China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology Anhui University  Hefei China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123610176","display_name":"Chiawei Chu","orcid":"https://orcid.org/0000-0002-1334-9848","observed_orcids":["https://orcid.org/0000-0002-1334-9848"]},"institutions":[{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"ChiaWei Chu","raw_affiliation_strings":["Faculty of Data Science City University of Macau  Macau SAR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Data Science City University of Macau  Macau SAR China","institution_ids":["https://openalex.org/I6469544"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5133657064","display_name":"Yu Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405281264","display_name":"Zhuhai College of Science and Technology","ror":"https://ror.org/0440ra149","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405281264"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Li","raw_affiliation_strings":["School of Big Data Zhuhai College of Science and Technology  Zhuhai China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data Zhuhai College of Science and Technology  Zhuhai China","institution_ids":["https://openalex.org/I4405281264"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5123610176","https://openalex.org/A5133657064"],"corresponding_institution_ids":["https://openalex.org/I4405281264","https://openalex.org/I6469544"],"apc_list":{"value":2510,"currency":"USD","value_usd":2510},"apc_paid":{"value":2510,"currency":"USD","value_usd":2510},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.48921912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.8676999807357788,"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":0.8676999807357788,"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":0.09740000218153,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.006000000052154064,"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/pedestrian-attribute-recognition","display_name":"pedestrian attribute recognition","score":1.0},{"id":"https://openalex.org/keywords/video-surveillance","display_name":"video surveillance","score":0.5830000042915344},{"id":"https://openalex.org/keywords/retail-analytics","display_name":"retail analytics","score":0.6790000200271606},{"id":"https://openalex.org/keywords/decision-level-fusion","display_name":"decision fusion","score":0.7170000076293945},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"knowledge transfer","score":0.7139999866485596},{"id":"https://openalex.org/keywords/event-cameras","display_name":"event cameras","score":0.328000009059906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8562999963760376},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6539000272750854},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6517000198364258},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6416000127792358},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6223000288009644},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5396000146865845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5253000259399414},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47029998898506165},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.4684999883174896},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44449999928474426},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4120999872684479},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.39660000801086426},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.384799987077713},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.37380000948905945},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.35670000314712524},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.33500000834465027},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.325300008058548},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.32519999146461487},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.323199987411499},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3203999996185303},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.3118000030517578},{"id":"https://openalex.org/C45493050","wikidata":"https://www.wikidata.org/wiki/Q7884934","display_name":"Unified Model","level":2,"score":0.31139999628067017},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.30970001220703125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30730000138282776},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C132900626","wikidata":"https://www.wikidata.org/wiki/Q7534733","display_name":"Sketch recognition","level":4,"score":0.27570000290870667},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.267300009727478},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2671999931335449},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.26100000739097595},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C136085584","wikidata":"https://www.wikidata.org/wiki/Q910289","display_name":"Overlay","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1049/cvi2.70081","doi":"https://doi.org/10.1049/cvi2.70081","is_oa":true,"landing_page_url":"https://doi.org/10.1049/cvi2.70081","pdf_url":null,"source":{"id":"https://openalex.org/S166929102","display_name":"IET Computer Vision","issn_l":"1751-9632","issn":["1751-9632","1751-9640"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["ccf-c","cwts-core","doaj","dongbi-c","jufo-1","norway-1","oarl","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Computer Vision","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2603.05114","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2603.05114","pdf_url":"https://arxiv.org/pdf/2603.05114","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2603.05114","doi":"https://doi.org/10.48550/arxiv.2603.05114","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.05114","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1049/cvi2.70081","doi":"https://doi.org/10.1049/cvi2.70081","is_oa":true,"landing_page_url":"https://doi.org/10.1049/cvi2.70081","pdf_url":null,"source":{"id":"https://openalex.org/S166929102","display_name":"IET Computer Vision","issn_l":"1751-9632","issn":["1751-9632","1751-9640"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["ccf-c","cwts-core","doaj","dongbi-c","jufo-1","norway-1","oarl","poland-70","russia-white-list-1"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Computer Vision","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7202046652.pdf","grobid_xml":"https://content.openalex.org/works/W7202046652.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W2111025459","https://openalex.org/W2341528187","https://openalex.org/W2410968923","https://openalex.org/W2511791013","https://openalex.org/W3187415662","https://openalex.org/W3200445214","https://openalex.org/W4285207098","https://openalex.org/W4312221821","https://openalex.org/W4312680644","https://openalex.org/W4380303606","https://openalex.org/W4386076164","https://openalex.org/W4386076305","https://openalex.org/W4390873312","https://openalex.org/W4393156340","https://openalex.org/W4402216993","https://openalex.org/W4406033209","https://openalex.org/W4409917485","https://openalex.org/W4413278329","https://openalex.org/W4415797829","https://openalex.org/W7133221561"],"related_works":["https://openalex.org/W4409917485","https://openalex.org/W4404970224","https://openalex.org/W4417399425","https://openalex.org/W4405126969","https://openalex.org/W4390143808","https://openalex.org/W7155493672","https://openalex.org/W4387969649","https://openalex.org/W4380303606","https://openalex.org/W3187415662","https://openalex.org/W4319299990"],"abstract_inverted_index":{"ABSTRACT":[0],"Pedestrian":[1],"Attribute":[2],"Recognition":[3],"is":[4,30],"a":[5,61,69,75,81,101,122],"foundational":[6],"computer":[7],"vision":[8],"task":[9],"that":[10,113,147],"provides":[11],"essential":[12],"support":[13],"for":[14,65],"downstream":[15],"applications,":[16],"including":[17,141],"person":[18],"retrieval":[19],"in":[20,45],"video":[21,95],"surveillance":[22],"and":[23,37,51,74,97,144,172,184],"intelligent":[24],"retail":[25],"analytics.":[26],"However,":[27],"existing":[28],"research":[29],"frequently":[31],"constrained":[32],"by":[33],"the":[34,136],"\u201cone\u2010model\u2010per\u2010dataset\u201d":[35],"paradigm":[36],"struggles":[38],"to":[39,84,152,168],"handle":[40],"significant":[41],"discrepancies":[42],"across":[43,164],"domains":[44],"terms":[46],"of":[47,190],"modalities,":[48],"attribute":[49,90,116,176],"definitions,":[50],"environmental":[52],"scenarios.":[53],"To":[54],"address":[55],"these":[56],"challenges,":[57],"we":[58],"propose":[59],"UniPAR,":[60],"unified":[62,70,102],"Transformer\u2010based":[63],"framework":[64],"PAR.":[66],"By":[67],"incorporating":[68],"data":[71],"scheduling":[72],"strategy":[73],"dynamic":[76],"classification":[77],"head,":[78],"UniPAR":[79,148],"enables":[80,160],"single":[82],"model":[83],"jointly":[85],"learn":[86],"from":[87],"diverse":[88],"pedestrian":[89,175],"datasets":[91],"spanning":[92],"RGB":[93],"images,":[94],"sequences,":[96],"event":[98],"streams":[99],"through":[100,121],"optimization":[103],"framework.":[104],"We":[105],"also":[106],"introduce":[107],"an":[108],"innovative":[109],"phased":[110],"fusion":[111,125],"encoder":[112],"incorporates":[114],"textual":[115],"queries":[117],"as":[118,182],"semantic":[119],"guidance":[120],"late":[123],"deep":[124],"strategy,":[126],"enabling":[127],"more":[128,173],"discriminative":[129],"visual":[130],"feature":[131],"learning.":[132],"Experimental":[133],"results":[134],"on":[135,196],"widely":[137],"used":[138],"benchmark":[139],"datasets,":[140,166],"MSP60K,":[142],"DukeMTMC,":[143],"EventPAR,":[145],"demonstrate":[146],"achieves":[149],"performance":[150],"comparable":[151],"specialised":[153],"SOTA":[154],"methods.":[155],"Furthermore,":[156],"multi\u2010dataset":[157],"joint":[158],"training":[159],"positive":[161],"knowledge":[162],"transfer":[163],"heterogeneous":[165],"leading":[167],"improved":[169],"generalisation":[170],"ability":[171],"robust":[174],"recognition":[177],"under":[178],"challenging":[179],"conditions":[180],"such":[181],"low\u2010light":[183],"motion\u2010blurred":[185],"environments.":[186],"The":[187],"source":[188],"code":[189],"this":[191],"paper":[192],"will":[193],"be":[194],"released":[195],"https://github.com/Event\u2010AHU/OpenPAR":[197],".":[198]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-08-10T00:00:00"}
