{"id":"https://openalex.org/W4304080363","doi":"https://doi.org/10.1145/3503161.3548336","title":"Progressive Attribute Embedding for Accurate Cross-modality Person Re-ID","display_name":"Progressive Attribute Embedding for Accurate Cross-modality Person Re-ID","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4304080363","doi":"https://doi.org/10.1145/3503161.3548336"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3548336","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3548336","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","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/A5017558628","display_name":"Aihua Zheng","orcid":"https://orcid.org/0000-0002-9820-4743"},"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":true,"raw_author_name":"Aihua Zheng","raw_affiliation_strings":["IMIS Lab of Anhui Province, School of Artificial Intelligence, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"IMIS Lab of Anhui Province, School of Artificial Intelligence, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112112665","display_name":"Peng Pan","orcid":"https://orcid.org/0009-0003-8351-4671"},"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":"Peng Pan","raw_affiliation_strings":["Anhui Provincial Key Lab of MCC, School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Lab of MCC, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100693898","display_name":"Hongchao Li","orcid":"https://orcid.org/0000-0002-0077-1345"},"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":"Hongchao Li","raw_affiliation_strings":["Anhui Provincial Key Lab of MCC, School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Lab of MCC, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398932","display_name":"Chenglong Li","orcid":"https://orcid.org/0000-0002-7233-2739"},"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":"Chenglong Li","raw_affiliation_strings":["IMIS Lab of Anhui Province, School of Artificial Intelligence, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"IMIS Lab of Anhui Province, School of Artificial Intelligence, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372676","display_name":"Bin Luo","orcid":"https://orcid.org/0000-0001-5948-5055"},"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":"Bin Luo","raw_affiliation_strings":["Anhui Provincial Key Lab of MCC, School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Lab of MCC, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101009562","display_name":"Chang Tan","orcid":"https://orcid.org/0000-0001-7564-2946"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang Tan","raw_affiliation_strings":["iFLYTEK Co., Ltd., Hefei, China"],"affiliations":[{"raw_affiliation_string":"iFLYTEK Co., Ltd., Hefei, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087842984","display_name":"Ruoran Jia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruoran Jia","raw_affiliation_strings":["iFLYTEK Co., Ltd., Hefei, China"],"affiliations":[{"raw_affiliation_string":"iFLYTEK Co., Ltd., Hefei, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5017558628"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":0.8983,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.8259049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4309","last_page":"4317"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9955999851226807,"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":0.9947999715805054,"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/computer-science","display_name":"Computer science","score":0.769041895866394},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.7031233906745911},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6876136064529419},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.679344892501831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.642149806022644},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5384430885314941},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5024209022521973},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4628673195838928},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.4244515895843506},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42262959480285645},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.4152058959007263},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3267059624195099},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2766050696372986}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.769041895866394},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.7031233906745911},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6876136064529419},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.679344892501831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.642149806022644},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5384430885314941},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5024209022521973},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4628673195838928},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.4244515895843506},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42262959480285645},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.4152058959007263},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3267059624195099},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2766050696372986},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503161.3548336","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3548336","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G8771499563","display_name":null,"funder_award_id":"61976002 and 61860206004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2096306138","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2441160157","https://openalex.org/W2596603442","https://openalex.org/W2777534232","https://openalex.org/W2788846526","https://openalex.org/W2808260522","https://openalex.org/W2904949947","https://openalex.org/W2907754799","https://openalex.org/W2954773727","https://openalex.org/W2963365374","https://openalex.org/W2963557071","https://openalex.org/W2963597983","https://openalex.org/W2970390221","https://openalex.org/W2980827638","https://openalex.org/W2982041213","https://openalex.org/W2985033611","https://openalex.org/W2987191133","https://openalex.org/W2996878574","https://openalex.org/W2997877744","https://openalex.org/W2998792609","https://openalex.org/W3004990178","https://openalex.org/W3033235266","https://openalex.org/W3034494316","https://openalex.org/W3034519219","https://openalex.org/W3035673257","https://openalex.org/W3037694411","https://openalex.org/W3049045914","https://openalex.org/W3093051557","https://openalex.org/W3097003645","https://openalex.org/W3101408564","https://openalex.org/W3106715802","https://openalex.org/W3107087058","https://openalex.org/W3110337799","https://openalex.org/W3168126494","https://openalex.org/W3176633985","https://openalex.org/W3210946531","https://openalex.org/W4214891830"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W2167701463","https://openalex.org/W2110287964","https://openalex.org/W4307407935","https://openalex.org/W649759291"],"abstract_inverted_index":{"Attributes":[0],"are":[1,124],"important":[2],"information":[3,37,52,74],"to":[4,30,53,75,102,106,157],"bridge":[5],"the":[6,33,39,55,58,67,85,89,104,160,168,171,175],"appearance":[7],"gap":[8],"across":[9],"modalities,":[10,63],"but":[11],"have":[12],"not":[13],"been":[14],"well":[15],"explored":[16],"in":[17,61,127,151],"cross-modality":[18,153,177],"person":[19,59,154,178],"ReID.":[20],"This":[21],"paper":[22],"proposes":[23],"a":[24,45],"progressive":[25,132],"attribute":[26,36,51,73,115,133],"embedding":[27,72,134],"module":[28],"(PAE)":[29],"effectively":[31],"fuse":[32],"fine-grained":[34],"semantic":[35],"and":[38,88,109,116,122,141],"global":[40],"structural":[41],"visual":[42],"information.":[43],"Through":[44],"novel":[46],"cascade":[47],"way,":[48],"we":[49,94,148],"use":[50],"learn":[54,107],"relationship":[56],"between":[57],"images":[60],"different":[62],"which":[64],"significantly":[65],"relieves":[66],"modality":[68],"heterogeneity.":[69],"Meanwhile,":[70],"by":[71,113],"guide":[76],"more":[77],"discriminative":[78],"image":[79],"feature":[80],"generation,":[81],"it":[82],"simultaneously":[83],"reduces":[84],"inter-class":[86],"similarity":[87],"intra-class":[90],"discrepancy.":[91],"In":[92],"addition,":[93],"propose":[95],"an":[96,128],"attribute-based":[97],"auxiliary":[98],"learning":[99],"strategy":[100],"(AAL)":[101],"supervise":[103],"network":[105,135],"modality-invariant":[108],"identity-specific":[110],"local":[111],"features":[112],"joint":[114],"identity":[117],"classification":[118],"losses.":[119],"The":[120],"PAE":[121,140],"AAL":[123,142],"jointly":[125],"optimized":[126],"end-to-end":[129],"framework,":[130],"namely,":[131],"(PAENet).":[136],"One":[137],"can":[138],"plug":[139],"into":[143],"current":[144],"mainstream":[145],"models,":[146],"as":[147],"implement":[149],"them":[150],"five":[152],"ReID":[155,179],"frameworks":[156],"further":[158],"boost":[159],"performance.":[161],"Extensive":[162],"experiments":[163],"on":[164],"public":[165],"datasets":[166],"demonstrate":[167],"effectiveness":[169],"of":[170],"proposed":[172],"method":[173],"against":[174],"state-of-the-art":[176],"methods.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
