{"id":"https://openalex.org/W3089902610","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206722","title":"Improved Hierarchical Clustering with Non-locally Enhanced Features for Unsupervised Person Re-identification","display_name":"Improved Hierarchical Clustering with Non-locally Enhanced Features for Unsupervised Person Re-identification","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3089902610","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206722","mag":"3089902610"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9206722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5010174645","display_name":"Wanyu Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wanyu Zhao","raw_affiliation_strings":["Communication and Information Security Laboratory, Shenzhen Graduate School of Peking University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Communication and Information Security Laboratory, Shenzhen Graduate School of Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102929978","display_name":"Bairong Li","orcid":"https://orcid.org/0000-0002-5060-0229"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bairong Li","raw_affiliation_strings":["Communication and Information Security Laboratory, Shenzhen Graduate School of Peking University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Communication and Information Security Laboratory, Shenzhen Graduate School of Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048487384","display_name":"Qinghua Gu","orcid":"https://orcid.org/0000-0003-4927-0653"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghua Gu","raw_affiliation_strings":["Communication and Information Security Laboratory, Shenzhen Graduate School of Peking University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Communication and Information Security Laboratory, Shenzhen Graduate School of Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056706680","display_name":"Yuesheng Zhu","orcid":"https://orcid.org/0000-0003-2524-6800"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuesheng Zhu","raw_affiliation_strings":["Communication and Information Security Laboratory, Shenzhen Graduate School of Peking University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Communication and Information Security Laboratory, Shenzhen Graduate School of Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010174645"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.3957,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.62004482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9954000115394592,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8284280300140381},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7877250909805298},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6283018589019775},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5473107099533081},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.5208892822265625},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5170555710792542},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.49779438972473145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48567187786102295},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4358433783054352},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.42647531628608704},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42362403869628906},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.382113516330719}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8284280300140381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7877250909805298},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6283018589019775},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5473107099533081},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.5208892822265625},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5170555710792542},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.49779438972473145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48567187786102295},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4358433783054352},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.42647531628608704},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42362403869628906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.382113516330719},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9206722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W988335224","https://openalex.org/W1821462560","https://openalex.org/W1949591461","https://openalex.org/W1963702692","https://openalex.org/W1979260620","https://openalex.org/W1988300964","https://openalex.org/W2009907187","https://openalex.org/W2046835352","https://openalex.org/W2097073572","https://openalex.org/W2204750386","https://openalex.org/W2441160157","https://openalex.org/W2511791013","https://openalex.org/W2520433280","https://openalex.org/W2533545350","https://openalex.org/W2585635281","https://openalex.org/W2615416569","https://openalex.org/W2778652957","https://openalex.org/W2792373886","https://openalex.org/W2798775284","https://openalex.org/W2799107345","https://openalex.org/W2883725317","https://openalex.org/W2895589658","https://openalex.org/W2896016251","https://openalex.org/W2904427185","https://openalex.org/W2909398625","https://openalex.org/W2909593838","https://openalex.org/W2950180292","https://openalex.org/W2953214814","https://openalex.org/W2957037461","https://openalex.org/W2963000559","https://openalex.org/W2963049565","https://openalex.org/W2963091558","https://openalex.org/W2963152148","https://openalex.org/W2963383990","https://openalex.org/W2963557071","https://openalex.org/W2963574614","https://openalex.org/W2963852441","https://openalex.org/W2963975998","https://openalex.org/W2964074409","https://openalex.org/W2964186374","https://openalex.org/W2981420411","https://openalex.org/W3100007512","https://openalex.org/W3100587600","https://openalex.org/W6638523607","https://openalex.org/W6640937214","https://openalex.org/W6685380521","https://openalex.org/W6725558437","https://openalex.org/W6726951882","https://openalex.org/W6728550200","https://openalex.org/W6747320315","https://openalex.org/W6750932202","https://openalex.org/W6753000030","https://openalex.org/W6754783249","https://openalex.org/W6755731411","https://openalex.org/W6765877273"],"related_works":["https://openalex.org/W2804364458","https://openalex.org/W4298130764","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2083665254","https://openalex.org/W2393816671","https://openalex.org/W1534720161","https://openalex.org/W2804957450","https://openalex.org/W2942177010","https://openalex.org/W3200375535"],"abstract_inverted_index":{"Due":[0],"to":[1,53,153],"the":[2,38,73,86,102,134,139,177],"high":[3],"cost":[4],"of":[5,75,112,156,159],"data":[6],"annotation":[7],"in":[8,42],"supervised":[9],"person":[10,15,26,79],"re-identification":[11],"(re-ID)":[12],"methods,":[13],"unsupervised":[14,25,44,179],"re-ID":[16,27],"methods":[17,28,46],"have":[18,33],"attracted":[19],"more":[20,22],"and":[21,50,59,118,133,167],"attention.":[23],"The":[24,124],"based":[29,67],"on":[30,68,163],"deep":[31,69],"clustering":[32,45,70,94,103],"achieved":[34],"good":[35],"performance.":[36],"However,":[37],"distance":[39,49,114,117],"metrics":[40],"used":[41],"existing":[43],"ignore":[47,72],"intra-cluster":[48,122],"are":[51],"likely":[52],"cause":[54],"some":[55,129],"wrong":[56,130],"merging":[57,131],"situations":[58,132],"uneven":[60],"distribution":[61,141],"within":[62,142],"clusters.":[63,143],"Besides,":[64],"these":[65],"models":[66],"usually":[71],"importance":[74],"global":[76,157],"features":[77,158],"for":[78],"re-ID.":[80],"In":[81,144],"this":[82],"paper,":[83],"we":[84,105,146],"address":[85],"above":[87],"problems":[88],"by":[89],"proposing":[90],"an":[91],"improved":[92],"hierarchical":[93],"approach":[95],"with":[96],"non-locally":[97,149],"enhanced":[98,150],"features.":[99],"To":[100],"improve":[101],"performance,":[104],"design":[106],"a":[107,148],"new":[108],"metric":[109],"which":[110],"consists":[111],"intermediate":[113],"as":[115,121],"inter-cluster":[116],"compactness":[119],"degree":[120],"distance.":[123],"former":[125],"one":[126,136],"can":[127,137],"prevent":[128],"latter":[135],"promote":[138],"uniform":[140],"addition,":[145],"develop":[147],"feature":[151],"network":[152],"take":[154],"advantage":[155],"images.":[160],"Extensive":[161],"experiments":[162],"Market-1501,":[164],"DukeMTMC-reID,":[165],"MARS":[166],"DukeMTMC-VideoReID":[168],"demonstrate":[169],"that":[170],"our":[171],"method":[172],"obtains":[173],"significant":[174],"improvement":[175],"over":[176],"state-of-the-art":[178],"methods.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
