{"id":"https://openalex.org/W2963637710","doi":"https://doi.org/10.1109/tip.2019.2910414","title":"Pose-Invariant Embedding for Deep Person Re-Identification","display_name":"Pose-Invariant Embedding for Deep Person Re-Identification","publication_year":2019,"publication_date":"2019-04-25","ids":{"openalex":"https://openalex.org/W2963637710","doi":"https://doi.org/10.1109/tip.2019.2910414","mag":"2963637710","pmid":"https://pubmed.ncbi.nlm.nih.gov/31021765"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2910414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2910414","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100709340","display_name":"Liang Zheng","orcid":"https://orcid.org/0000-0002-1464-9500"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Liang Zheng","raw_affiliation_strings":["Research School of Computer Science, The Australian National University, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"Research School of Computer Science, The Australian National University, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102940879","display_name":"Yujia Huang","orcid":"https://orcid.org/0000-0001-7667-8342"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yujia Huang","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006986293","display_name":"Huchuan Lu","orcid":"https://orcid.org/0000-0002-6668-9758"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huchuan Lu","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005421447","display_name":"Yi Yang","orcid":"https://orcid.org/0000-0002-0512-880X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yi Yang","raw_affiliation_strings":["Center for Artificial Intelligence, University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Center for Artificial Intelligence, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100709340"],"corresponding_institution_ids":["https://openalex.org/I118347636"],"apc_list":null,"apc_paid":null,"fwci":35.5598,"has_fulltext":false,"cited_by_count":498,"citation_normalized_percentile":{"value":0.99808747,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"28","issue":"9","first_page":"4500","last_page":"4509"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7775437831878662},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7300959825515747},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7293328642845154},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.6471865773200989},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6008858680725098},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5317073464393616},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5235739946365356},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5056605339050293},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4858114719390869},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4719245433807373},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16135403513908386}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7775437831878662},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7300959825515747},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7293328642845154},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.6471865773200989},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6008858680725098},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5317073464393616},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5235739946365356},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5056605339050293},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4858114719390869},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4719245433807373},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16135403513908386},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2019.2910414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2910414","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:31021765","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31021765","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/307571","is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/307571","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"Journal article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W9364628","https://openalex.org/W1928419358","https://openalex.org/W1948369226","https://openalex.org/W1979260620","https://openalex.org/W1982925187","https://openalex.org/W1988185522","https://openalex.org/W2018507448","https://openalex.org/W2062118960","https://openalex.org/W2068042582","https://openalex.org/W2073430215","https://openalex.org/W2080873731","https://openalex.org/W2108598243","https://openalex.org/W2113325037","https://openalex.org/W2126791727","https://openalex.org/W2135442311","https://openalex.org/W2136391815","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2175012183","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2255781698","https://openalex.org/W2300840837","https://openalex.org/W2307770531","https://openalex.org/W2337600727","https://openalex.org/W2342611082","https://openalex.org/W2344924411","https://openalex.org/W2465670578","https://openalex.org/W2467139031","https://openalex.org/W2475284720","https://openalex.org/W2491664569","https://openalex.org/W2502225121","https://openalex.org/W2520433280","https://openalex.org/W2531440880","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2598634450","https://openalex.org/W2604211872","https://openalex.org/W2738406610","https://openalex.org/W2747685395","https://openalex.org/W2768610172","https://openalex.org/W2798429327","https://openalex.org/W2890159224","https://openalex.org/W2898047322","https://openalex.org/W2909398625","https://openalex.org/W2962923976","https://openalex.org/W2962926870","https://openalex.org/W2963000559","https://openalex.org/W2963161580","https://openalex.org/W2963322158","https://openalex.org/W2963438548","https://openalex.org/W2963557071","https://openalex.org/W2963574614","https://openalex.org/W2963781481","https://openalex.org/W2963805953","https://openalex.org/W2963901085","https://openalex.org/W2963975998","https://openalex.org/W2964130064","https://openalex.org/W2964163358","https://openalex.org/W2964186374","https://openalex.org/W2964289004","https://openalex.org/W2964304299","https://openalex.org/W2964304707","https://openalex.org/W3098057481","https://openalex.org/W3098711604","https://openalex.org/W6640740087","https://openalex.org/W6668745715","https://openalex.org/W6680285999","https://openalex.org/W6684191040","https://openalex.org/W6724544503","https://openalex.org/W6733146167","https://openalex.org/W6747320315","https://openalex.org/W6754663736"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W4387967917","https://openalex.org/W4386925306","https://openalex.org/W2849310602","https://openalex.org/W3006008237","https://openalex.org/W4387968151"],"abstract_inverted_index":{"Pedestrian":[0],"misalignment,":[1],"which":[2,66],"mainly":[3],"arises":[4],"from":[5],"detector":[6],"errors":[7,84],"and":[8,28,85,106,140,152],"pose":[9,43,70,82,108],"variations,":[10],"is":[11,64,67,117],"a":[12,16,48,58,93],"critical":[13],"problem":[14],"for":[15,129],"robust":[17],"person":[18],"re-identification":[19],"(re-ID)":[20],"system.":[21],"With":[22],"poor":[23],"alignment,":[24],"the":[25,42,61,79,101,104,107,121,126,130,137,157,160,169],"feature":[26],"learning":[27],"matching":[29],"process":[30],"might":[31],"be":[32],"largely":[33],"compromised.":[34],"To":[35],"address":[36],"this":[37,39],"problem,":[38],"paper":[40],"introduces":[41],"invariant":[44],"embedding":[45],"(PIE)":[46],"as":[47,111,120],"pedestrian":[49],"descriptor.":[50],"First,":[51],"in":[52,156],"order":[53],"to":[54,57,77],"align":[55],"pedestrians":[56],"standard":[59],"pose,":[60],"PoseBox":[62,89,94,146],"structure":[63],"introduced,":[65],"generated":[68],"through":[69],"estimation":[71,83,109],"followed":[72],"by":[73],"affine":[74],"transformations.":[75],"Second,":[76],"reduce":[78],"impact":[80],"of":[81,125],"information":[86],"loss":[87],"during":[88],"construction,":[90],"we":[91],"design":[92],"fusion":[95],"(PBF)":[96],"CNN":[97],"architecture":[98],"that":[99,145,153],"takes":[100],"original":[102],"image,":[103],"PoseBox,":[105],"confidence":[110],"input.":[112],"The":[113],"proposed":[114],"PIE":[115,162],"descriptor":[116,163],"thus":[118],"defined":[119],"fully":[122],"connected":[123],"layer":[124],"PBF":[127,158],"network":[128],"retrieval":[131],"task.":[132],"Experiments":[133],"are":[134],"conducted":[135],"on":[136],"Market-1501,":[138],"CUHK03-NP,":[139],"DukeMTMC-reID":[141],"datasets.":[142],"We":[143],"show":[144],"alone":[147],"yields":[148],"decent":[149],"re-ID":[150],"accuracy,":[151],"when":[154],"integrated":[155],"network,":[159],"learned":[161],"produces":[164],"competitive":[165],"performance":[166],"compared":[167],"with":[168],"state-of-the-art":[170],"approaches.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":34},{"year":2024,"cited_by_count":36},{"year":2023,"cited_by_count":56},{"year":2022,"cited_by_count":84},{"year":2021,"cited_by_count":96},{"year":2020,"cited_by_count":99},{"year":2019,"cited_by_count":69},{"year":2018,"cited_by_count":20},{"year":2017,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}