{"id":"https://openalex.org/W4388642334","doi":"https://doi.org/10.1109/jiot.2023.3332077","title":"Homogeneous and Heterogeneous Optimization for Unsupervised Cross-Modality Person Reidentification in Visual Internet of Things","display_name":"Homogeneous and Heterogeneous Optimization for Unsupervised Cross-Modality Person Reidentification in Visual Internet of Things","publication_year":2023,"publication_date":"2023-11-13","ids":{"openalex":"https://openalex.org/W4388642334","doi":"https://doi.org/10.1109/jiot.2023.3332077"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2023.3332077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3332077","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5057635087","display_name":"Tongzhen Si","orcid":"https://orcid.org/0000-0002-1141-9718"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongzhen Si","raw_affiliation_strings":["School of Information Science and Engineering, University of Jinan, Jinan, China","School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-1141-9718","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, University of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100660581","display_name":"Fazhi He","orcid":"https://orcid.org/0000-0001-7016-3698"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fazhi He","raw_affiliation_strings":["School of Computer Science, Institute of Artificial Intelligence, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-7016-3698","affiliations":[{"raw_affiliation_string":"School of Computer Science, Institute of Artificial Intelligence, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078044292","display_name":"Penglei Li","orcid":"https://orcid.org/0000-0001-8691-8987"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Penglei Li","raw_affiliation_strings":["School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008999954","display_name":"Mang Ye","orcid":"https://orcid.org/0000-0003-3989-7655"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mang Ye","raw_affiliation_strings":["School of Computer Science, Institute of Artificial Intelligence, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Institute of Artificial Intelligence, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9145,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88462522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"11","issue":"7","first_page":"12165","last_page":"12176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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":0.9958000183105469,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9940999746322632,"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/computer-science","display_name":"Computer science","score":0.7226759195327759},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.7035534381866455},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6364493370056152},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5871284008026123},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5201523900032043},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5191218256950378},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5117756724357605},{"id":"https://openalex.org/keywords/affinity-propagation","display_name":"Affinity propagation","score":0.45874840021133423},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3609878420829773},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.11405938863754272},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08727005124092102}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7226759195327759},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.7035534381866455},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6364493370056152},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5871284008026123},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5201523900032043},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5191218256950378},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5117756724357605},{"id":"https://openalex.org/C109659709","wikidata":"https://www.wikidata.org/wiki/Q3407504","display_name":"Affinity propagation","level":5,"score":0.45874840021133423},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3609878420829773},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.11405938863754272},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08727005124092102},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2023.3332077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3332077","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6938322489","display_name":"\u590d\u6742\u5408\u4f5c\u52bf\u6001\u4e0b\u534f\u540c\u8bbe\u8ba1\u6570\u636e\u4fdd\u969c\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62072348","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":69,"referenced_works":["https://openalex.org/W166429404","https://openalex.org/W1518138188","https://openalex.org/W1949591461","https://openalex.org/W2118661197","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2215880066","https://openalex.org/W2433217581","https://openalex.org/W2511791013","https://openalex.org/W2596603442","https://openalex.org/W2606377603","https://openalex.org/W2777534232","https://openalex.org/W2795758732","https://openalex.org/W2896016251","https://openalex.org/W2954773727","https://openalex.org/W2962793481","https://openalex.org/W2962859295","https://openalex.org/W2963047834","https://openalex.org/W2963049565","https://openalex.org/W2963289251","https://openalex.org/W2967042556","https://openalex.org/W2988852559","https://openalex.org/W2995852213","https://openalex.org/W2996878574","https://openalex.org/W2997877744","https://openalex.org/W2998633236","https://openalex.org/W2998792609","https://openalex.org/W2999929549","https://openalex.org/W3001374889","https://openalex.org/W3034607353","https://openalex.org/W3034903425","https://openalex.org/W3035402405","https://openalex.org/W3035673257","https://openalex.org/W3100506510","https://openalex.org/W3107848599","https://openalex.org/W3111440907","https://openalex.org/W3112063620","https://openalex.org/W3120798330","https://openalex.org/W3125736290","https://openalex.org/W3134669182","https://openalex.org/W3162562365","https://openalex.org/W3173902027","https://openalex.org/W3176033671","https://openalex.org/W3184225461","https://openalex.org/W3194065175","https://openalex.org/W3204075450","https://openalex.org/W3204330270","https://openalex.org/W3208382980","https://openalex.org/W3215551150","https://openalex.org/W4200343840","https://openalex.org/W4285228203","https://openalex.org/W4288780798","https://openalex.org/W4293093438","https://openalex.org/W4308106689","https://openalex.org/W4312317803","https://openalex.org/W4312706437","https://openalex.org/W4312841355","https://openalex.org/W4312890272","https://openalex.org/W4313029666","https://openalex.org/W4313165270","https://openalex.org/W4313307857","https://openalex.org/W4313419444","https://openalex.org/W4318992439","https://openalex.org/W4319165791","https://openalex.org/W4322096648","https://openalex.org/W4382788393","https://openalex.org/W4384080703","https://openalex.org/W6771395016","https://openalex.org/W6849568171"],"related_works":["https://openalex.org/W2113424041","https://openalex.org/W2065347048","https://openalex.org/W4367295867","https://openalex.org/W2382432689","https://openalex.org/W2551844785","https://openalex.org/W4388110928","https://openalex.org/W1999194110","https://openalex.org/W3025576849","https://openalex.org/W3041098777","https://openalex.org/W2916712091"],"abstract_inverted_index":{"Cross-modality":[0],"visible-infrared":[1],"person":[2],"reidentification":[3],"(VI-ReID)":[4],"has":[5,32],"attracted":[6],"widespread":[7],"concern":[8],"due":[9],"to":[10,86,107,132,145,156,172,186,197,205],"its":[11,49],"scalability":[12],"in":[13,51],"24-h":[14],"video":[15],"surveillance":[16],"of":[17,21,41,215],"the":[18,58,102,117,123,129,158,188,213],"Visual":[19],"Internet":[20],"Things":[22],"(VIoT).":[23],"Driven":[24],"by":[25],"enough":[26],"annotated":[27],"training":[28],"data,":[29],"supervised":[30],"VI-ReID":[31],"achieved":[33],"superior":[34,219],"performance.":[35,220],"However,":[36],"annotating":[37],"a":[38,74,164],"large":[39],"amount":[40],"cross-modality":[42,110,175,207],"data":[43],"is":[44,143,170],"extremely":[45],"time-consuming,":[46],"which":[47,113,217],"limits":[48],"employment":[50],"real-world":[52],"scenarios.":[53],"Existing":[54],"several":[55],"works":[56],"neglect":[57],"image-level":[59],"discrepancy":[60],"and":[61,77,89],"could":[62],"not":[63,114],"obtain":[64],"reliable":[65,174,181],"feature-level":[66],"heterogeneous":[67,78,153,165,182],"correlation.":[68],"In":[69],"this":[70,162],"article,":[71],"we":[72,100,127,151],"propose":[73,152],"novel":[75],"homogeneous":[76,140],"optimization":[79,142,155],"with":[80],"modality":[81,103],"style":[82,104],"adaptation":[83,105],"(HHO)":[84],"mechanism":[85],"eliminate":[87,157],"intramodality":[88,147],"intermodality":[90,124,159],"discrepancies":[91],"without":[92],"any":[93],"label":[94],"information":[95],"for":[96,136,177],"unsupervised":[97],"VI-ReID.":[98],"Specifically,":[99],"present":[101],"strategy":[106],"transfer":[108],"unlabeled":[109],"pedestrian":[111,148],"styles,":[112],"only":[115],"increases":[116],"image":[118],"diversity":[119],"but":[120],"also":[121],"bridges":[122],"gap.":[125],"Meanwhile,":[126],"employ":[128],"clustering":[130],"algorithm":[131],"generate":[133,187],"pseudo":[134],"labels":[135],"each":[137,178],"modality.":[138],"The":[139,200],"feature":[141,154,166,190],"developed":[144],"extract":[146],"features.":[149,209],"Furthermore,":[150],"discrepancy.":[160],"To":[161],"end,":[163],"search":[167],"(HFS)":[168],"module":[169],"designed":[171],"mine":[173],"signals":[176],"identity.":[179],"These":[180],"features":[183],"are":[184,195,202],"constrained":[185],"compact":[189],"distribution,":[191],"while":[192],"different":[193],"identities":[194],"forced":[196],"be":[198],"separated.":[199],"HHO":[201],"seamlessly":[203],"integrated":[204],"learn":[206],"robust":[208],"Abundant":[210],"experiments":[211],"prove":[212],"superiority":[214],"HHO,":[216],"gains":[218]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":10}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
