{"id":"https://openalex.org/W2998543242","doi":"https://doi.org/10.1609/aaai.v34i07.6804","title":"OVL: One-View Learning for Human Retrieval","display_name":"OVL: One-View Learning for Human Retrieval","publication_year":2020,"publication_date":"2020-04-03","ids":{"openalex":"https://openalex.org/W2998543242","doi":"https://doi.org/10.1609/aaai.v34i07.6804","mag":"2998543242"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v34i07.6804","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v34i07.6804","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/6804/6658","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/6804/6658","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100442686","display_name":"Wenjing Li","orcid":"https://orcid.org/0000-0003-2907-5797"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenjing Li","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112599196","display_name":"Zhongcheng Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongcheng Wu","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100442686"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.2458,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53881579,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"34","issue":"07","first_page":"11410","last_page":"11417"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9896000027656555,"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":0.9866999983787537,"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":0.8229608535766602},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.7508112192153931},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6994988322257996},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6941916942596436},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6342004537582397},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5684158205986023},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5589895844459534},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5526113510131836},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5312682390213013},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4581017792224884},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.44691240787506104},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43526893854141235},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.41778451204299927},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33980023860931396},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3363925814628601},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06575465202331543}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8229608535766602},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.7508112192153931},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6994988322257996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6941916942596436},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6342004537582397},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5684158205986023},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5589895844459534},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5526113510131836},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5312682390213013},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4581017792224884},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.44691240787506104},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43526893854141235},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.41778451204299927},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33980023860931396},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3363925814628601},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06575465202331543},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v34i07.6804","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v34i07.6804","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/6804/6658","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v34i07.6804","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v34i07.6804","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/6804/6658","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.699999988079071,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2998543242.pdf","grobid_xml":"https://content.openalex.org/works/W2998543242.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W46454230","https://openalex.org/W1882958252","https://openalex.org/W2105523772","https://openalex.org/W2108598243","https://openalex.org/W2125865219","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2511791013","https://openalex.org/W2584009249","https://openalex.org/W2585635281","https://openalex.org/W2593768305","https://openalex.org/W2598634450","https://openalex.org/W2604912015","https://openalex.org/W2618353479","https://openalex.org/W2753139045","https://openalex.org/W2756689160","https://openalex.org/W2769088658","https://openalex.org/W2769994766","https://openalex.org/W2778652957","https://openalex.org/W2779610669","https://openalex.org/W2783855081","https://openalex.org/W2788012242","https://openalex.org/W2794651663","https://openalex.org/W2798593490","https://openalex.org/W2799107345","https://openalex.org/W2799185441","https://openalex.org/W2806740420","https://openalex.org/W2810913254","https://openalex.org/W2888222975","https://openalex.org/W2890487450","https://openalex.org/W2891440844","https://openalex.org/W2891975605","https://openalex.org/W2896016251","https://openalex.org/W2898047322","https://openalex.org/W2898108471","https://openalex.org/W2962926870","https://openalex.org/W2963000559","https://openalex.org/W2963047834","https://openalex.org/W2963152148","https://openalex.org/W2963557071","https://openalex.org/W2963721283","https://openalex.org/W2963842104","https://openalex.org/W2963983343","https://openalex.org/W2963989829","https://openalex.org/W4294610854","https://openalex.org/W6601887387","https://openalex.org/W6675865240","https://openalex.org/W6676297131","https://openalex.org/W6678814708","https://openalex.org/W6687483927","https://openalex.org/W6687888618","https://openalex.org/W6734871034","https://openalex.org/W6746921968","https://openalex.org/W6750426974","https://openalex.org/W6754770232"],"related_works":["https://openalex.org/W2995777218","https://openalex.org/W2896015807","https://openalex.org/W3170999895","https://openalex.org/W4389374014","https://openalex.org/W34092691","https://openalex.org/W4312414840","https://openalex.org/W4287117940","https://openalex.org/W2131513867","https://openalex.org/W4389989304","https://openalex.org/W2036486025"],"abstract_inverted_index":{"This":[0,74,123],"paper":[1],"considers":[2],"a":[3,56,115,140],"novel":[4,116],"problem,":[5,111],"named":[6],"One-View":[7],"Learning":[8],"(OVL),":[9],"in":[10,86],"human":[11],"retrieval":[12],"a.k.a.":[13],"person":[14,121],"re-identification":[15],"(re-ID).":[16],"Unlike":[17],"fully-supervised":[18],"learning,":[19],"OVL":[20,54],"only":[21,31],"requires":[22],"pretty":[23],"cheap":[24],"annotation":[25],"cost:":[26],"labeled":[27],"training":[28,43],"images":[29,44],"are":[30,51,80,101],"provided":[32],"from":[33,45,82,162],"one":[34],"camera":[35,47],"view":[36],"(source":[37],"view/domain),":[38],"while":[39],"the":[40,91,105,148,180,183],"annotations":[41],"of":[42,58,97,182],"other":[46],"views":[48,85,93,164],"(target":[49],"views/domains)":[50],"not":[52,102],"available.":[53],"is":[55,65,75,124,156],"problem":[57],"multi-target":[59],"open":[60],"set":[61],"domain":[62,69,188],"adaptation":[63,70,189],"that":[64,100],"difficult":[66],"for":[67,120],"existing":[68],"methods":[71],"to":[72,146,158],"handle.":[73],"because":[76],"1)":[77],"unlabeled":[78],"samples":[79,96,161],"drawn":[81],"multiple":[83],"target":[84,92,163],"different":[87],"distributions,":[88],"and":[89,131,190],"2)":[90],"may":[94],"contain":[95],"\u201cunknown":[98],"identity\u201d":[99],"shared":[103],"by":[104,126,143],"source":[106],"view.":[107],"To":[108],"address":[109],"this":[110,112],"work":[113],"introduces":[114],"one-view":[117],"learning":[118,129,135,145,167],"framework":[119],"re-ID.":[122],"achieved":[125],"adversarial":[127,132,144,166],"multi-view":[128,141],"(AMVL)":[130],"unknown":[133,160,170],"rejection":[134],"(AURL).":[136],"The":[137,154],"former":[138],"learns":[139],"discriminator":[142],"align":[147],"feature":[149],"distributions":[150],"between":[151],"all":[152],"views.":[153],"later":[155],"designed":[157],"reject":[159],"through":[165],"with":[168],"two":[169],"identity":[171],"classifiers.":[172],"Extensive":[173],"experiments":[174],"on":[175],"three":[176],"large-scale":[177],"datasets":[178],"demonstrate":[179],"advantage":[181],"proposed":[184],"method":[185],"over":[186],"state-of-the-art":[187],"semi-supervised":[191],"methods.":[192]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
