{"id":"https://openalex.org/W1962025484","doi":"https://doi.org/10.1109/cvpr.2015.7299046","title":"Transferring a semantic representation for person re-identification and search","display_name":"Transferring a semantic representation for person re-identification and search","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1962025484","doi":"https://doi.org/10.1109/cvpr.2015.7299046","mag":"1962025484"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7299046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5005060833","display_name":"Zhiyuan Shi","orcid":"https://orcid.org/0000-0002-7073-2245"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Zhiyuan Shi","raw_affiliation_strings":["Queen Mary, University of London, UK","Queen Mary University of London, E1 4NS, UK"],"affiliations":[{"raw_affiliation_string":"Queen Mary, University of London, UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Queen Mary University of London, E1 4NS, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087823932","display_name":"Timothy M. Hospedales","orcid":"https://orcid.org/0000-0003-4867-7486"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Timothy M. Hospedales","raw_affiliation_strings":["Queen Mary, University of London, UK","Queen Mary University of London, E1 4NS, UK"],"affiliations":[{"raw_affiliation_string":"Queen Mary, University of London, UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Queen Mary University of London, E1 4NS, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014436524","display_name":"Tao Xiang","orcid":"https://orcid.org/0000-0002-2530-1059"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tao Xiang","raw_affiliation_strings":["Queen Mary, University of London, UK","Queen Mary University of London, E1 4NS, UK"],"affiliations":[{"raw_affiliation_string":"Queen Mary, University of London, UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Queen Mary University of London, E1 4NS, UK","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005060833"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":19.8412,"has_fulltext":false,"cited_by_count":196,"citation_normalized_percentile":{"value":0.99491027,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"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":0.9998999834060669,"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":0.9973999857902527,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9957000017166138,"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":0.788409948348999},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6987124681472778},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6444976329803467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6226338744163513},{"id":"https://openalex.org/keywords/semantic-search","display_name":"Semantic search","score":0.5079951882362366},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5046416521072388},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49439358711242676},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4671594202518463},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44252991676330566},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40342065691947937},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3801751732826233},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.13241666555404663}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.788409948348999},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6987124681472778},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6444976329803467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6226338744163513},{"id":"https://openalex.org/C166423231","wikidata":"https://www.wikidata.org/wiki/Q1891170","display_name":"Semantic search","level":3,"score":0.5079951882362366},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5046416521072388},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49439358711242676},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4671594202518463},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44252991676330566},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40342065691947937},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3801751732826233},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.13241666555404663},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cvpr.2015.7299046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.723.7461","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.723.7461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eecs.qmul.ac.uk/%7Etmh/papers/shi2015transferRep.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.723.7470","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.723.7470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eecs.qmul.ac.uk/%7Etmh/papers/shi2015transferRep_supp.pdf","raw_type":"text"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/10075","is_oa":false,"landing_page_url":"http://qmro.qmul.ac.uk/xmlui/handle/123456789/10075","pdf_url":null,"source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":99,"referenced_works":["https://openalex.org/W41482161","https://openalex.org/W46454230","https://openalex.org/W71666767","https://openalex.org/W140822990","https://openalex.org/W146395692","https://openalex.org/W157648163","https://openalex.org/W166429404","https://openalex.org/W204268067","https://openalex.org/W206659046","https://openalex.org/W1514707997","https://openalex.org/W1518138188","https://openalex.org/W1533113888","https://openalex.org/W1599238028","https://openalex.org/W1602182271","https://openalex.org/W1644552752","https://openalex.org/W1722318740","https://openalex.org/W1777904572","https://openalex.org/W1963702692","https://openalex.org/W1967035541","https://openalex.org/W1979260620","https://openalex.org/W1982925187","https://openalex.org/W1992195312","https://openalex.org/W1994715454","https://openalex.org/W1996418862","https://openalex.org/W1999478721","https://openalex.org/W2009363625","https://openalex.org/W2012964815","https://openalex.org/W2013640163","https://openalex.org/W2018006179","https://openalex.org/W2030801043","https://openalex.org/W2038147967","https://openalex.org/W2040395913","https://openalex.org/W2046835352","https://openalex.org/W2047809566","https://openalex.org/W2058102599","https://openalex.org/W2068042582","https://openalex.org/W2074621908","https://openalex.org/W2081684918","https://openalex.org/W2088830654","https://openalex.org/W2097342496","https://openalex.org/W2102497689","https://openalex.org/W2104068492","https://openalex.org/W2104827998","https://openalex.org/W2108745803","https://openalex.org/W2110158442","https://openalex.org/W2111025459","https://openalex.org/W2115669554","https://openalex.org/W2121339428","https://openalex.org/W2123023145","https://openalex.org/W2125560515","https://openalex.org/W2125889200","https://openalex.org/W2127840337","https://openalex.org/W2128560777","https://openalex.org/W2131846894","https://openalex.org/W2135367695","https://openalex.org/W2149466042","https://openalex.org/W2150674759","https://openalex.org/W2151873133","https://openalex.org/W2156843740","https://openalex.org/W2160477239","https://openalex.org/W2165698076","https://openalex.org/W2167292325","https://openalex.org/W2172043283","https://openalex.org/W2192076154","https://openalex.org/W2201508557","https://openalex.org/W2231495490","https://openalex.org/W2294682666","https://openalex.org/W3098379913","https://openalex.org/W3101705353","https://openalex.org/W3184614360","https://openalex.org/W4317524344","https://openalex.org/W6601733005","https://openalex.org/W6601887387","https://openalex.org/W6602873311","https://openalex.org/W6605931512","https://openalex.org/W6606760634","https://openalex.org/W6608313692","https://openalex.org/W6630882758","https://openalex.org/W6631178364","https://openalex.org/W6635793669","https://openalex.org/W6636160605","https://openalex.org/W6636606921","https://openalex.org/W6637542466","https://openalex.org/W6648512498","https://openalex.org/W6649109542","https://openalex.org/W6650210536","https://openalex.org/W6653954129","https://openalex.org/W6658349781","https://openalex.org/W6660725563","https://openalex.org/W6670794950","https://openalex.org/W6675713828","https://openalex.org/W6676245398","https://openalex.org/W6678800043","https://openalex.org/W6681637710","https://openalex.org/W6682350049","https://openalex.org/W6687830471","https://openalex.org/W6689586722","https://openalex.org/W6697035826","https://openalex.org/W6785535523"],"related_works":["https://openalex.org/W2380556669","https://openalex.org/W2370199378","https://openalex.org/W4309810821","https://openalex.org/W2393185060","https://openalex.org/W4200090029","https://openalex.org/W2119135658","https://openalex.org/W4280564512","https://openalex.org/W4308949089","https://openalex.org/W4226048468","https://openalex.org/W2048566883"],"abstract_inverted_index":{"Learning":[0],"semantic":[1,56,91,125],"attributes":[2],"for":[3,43,60,108],"person":[4,8,61,95,113,130],"re-identification":[5,62],"and":[6,22,63,85,111,117],"description-based":[7,129],"search":[9,131],"has":[10],"gained":[11],"increasing":[12],"interest":[13],"due":[14,38],"to":[15,39,87,132],"attributes'":[16],"great":[17],"potential":[18],"as":[19,123],"a":[20,54,89,124],"pose":[21],"view-invariant":[23],"representation.":[24],"However,":[25],"existing":[26,70],"attribute-centric":[27],"approaches":[28],"have":[29],"thus":[30],"far":[31],"underperformed":[32],"state-of-the-art":[33,116,119],"conventional":[34],"approaches.":[35],"This":[36],"is":[37,67,106],"their":[40],"nonscalable":[41],"need":[42],"extensive":[44],"domain":[45,101],"(camera)":[46],"specific":[47],"annotation.":[48],"In":[49],"this":[50],"paper":[51],"we":[52],"present":[53],"new":[55],"attribute":[57],"learning":[58],"approach":[59],"search.":[64],"Our":[65],"model":[66],"trained":[68],"on":[69],"fashion":[71],"photography":[72],"datasets":[73],"-":[74],"either":[75],"weakly":[76],"or":[77],"strongly":[78],"labelled.":[79],"It":[80],"can":[81],"then":[82],"be":[83,133],"transferred":[84],"adapted":[86],"provide":[88],"powerful":[90],"description":[92],"of":[93],"surveillance":[94,100],"detections,":[96],"without":[97],"requiring":[98],"any":[99],"supervision.":[102],"The":[103],"resulting":[104],"representation":[105,126],"useful":[107],"both":[109],"unsupervised":[110],"supervised":[112],"re-identification,":[114],"achieving":[115],"near":[118],"performance":[120],"respectively.":[121],"Furthermore,":[122],"it":[127],"allows":[128],"integrated":[134],"within":[135],"the":[136],"same":[137],"framework.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":32},{"year":2018,"cited_by_count":36},{"year":2017,"cited_by_count":45},{"year":2016,"cited_by_count":23},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}