{"id":"https://openalex.org/W3031726557","doi":"https://doi.org/10.1109/tip.2020.2995272","title":"Learning Recurrent 3D Attention for Video-Based Person Re-Identification","display_name":"Learning Recurrent 3D Attention for Video-Based Person Re-Identification","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3031726557","doi":"https://doi.org/10.1109/tip.2020.2995272","mag":"3031726557"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.2995272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.2995272","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"],"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/A5088257057","display_name":"Guangyi Chen","orcid":"https://orcid.org/0000-0001-7542-5378"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangyi Chen","raw_affiliation_strings":["Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460385","display_name":"Jiwen Lu","orcid":"https://orcid.org/0000-0002-6121-5529"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiwen Lu","raw_affiliation_strings":["Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019934281","display_name":"Ming Yang","orcid":"https://orcid.org/0000-0003-1691-6817"},"institutions":[{"id":"https://openalex.org/I4401726824","display_name":"Horizon Robotics (China)","ror":"https://ror.org/05cmv6g68","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726824"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Yang","raw_affiliation_strings":["Horizon Robotics, Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Horizon Robotics, Inc., Shenzhen, China","institution_ids":["https://openalex.org/I4401726824"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100620306","display_name":"Jie Zhou","orcid":"https://orcid.org/0000-0001-7701-234X"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhou","raw_affiliation_strings":["Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China","Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088257057"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":3.6148,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.94269678,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"29","issue":null,"first_page":"6963","last_page":"6976"},"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":0.9980999827384949,"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":0.9934999942779541,"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/computer-science","display_name":"Computer science","score":0.7846710085868835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7535978555679321},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6705045700073242},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6110628843307495},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4867296516895294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46534833312034607},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4458000063896179},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43208399415016174},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4198421239852905},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.41709479689598083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7846710085868835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7535978555679321},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6705045700073242},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6110628843307495},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4867296516895294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46534833312034607},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4458000063896179},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43208399415016174},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4198421239852905},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.41709479689598083},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tip.2020.2995272","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.2995272","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7699999809265137,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G340251319","display_name":null,"funder_award_id":"61822603","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4397514795","display_name":null,"funder_award_id":"U1813218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5109092141","display_name":null,"funder_award_id":"61672306","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6372554807","display_name":null,"funder_award_id":"U1713214","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G867175025","display_name":null,"funder_award_id":"2017YFA0700802","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":92,"referenced_works":["https://openalex.org/W166429404","https://openalex.org/W760855798","https://openalex.org/W764651262","https://openalex.org/W1554944419","https://openalex.org/W1596233070","https://openalex.org/W1923277897","https://openalex.org/W1928419358","https://openalex.org/W1932380673","https://openalex.org/W1949591461","https://openalex.org/W1982925187","https://openalex.org/W2024868105","https://openalex.org/W2048110836","https://openalex.org/W2068042582","https://openalex.org/W2079972027","https://openalex.org/W2098807270","https://openalex.org/W2106053110","https://openalex.org/W2115669554","https://openalex.org/W2119717200","https://openalex.org/W2125889200","https://openalex.org/W2147527908","https://openalex.org/W2151873133","https://openalex.org/W2156303437","https://openalex.org/W2168356304","https://openalex.org/W2171033594","https://openalex.org/W2194775991","https://openalex.org/W2219504084","https://openalex.org/W2220271458","https://openalex.org/W2228002889","https://openalex.org/W2256680489","https://openalex.org/W2300840837","https://openalex.org/W2332993427","https://openalex.org/W2342611082","https://openalex.org/W2346369283","https://openalex.org/W2425566277","https://openalex.org/W2432402544","https://openalex.org/W2433217581","https://openalex.org/W2463071499","https://openalex.org/W2467139031","https://openalex.org/W2473702307","https://openalex.org/W2507217633","https://openalex.org/W2519803806","https://openalex.org/W2520433280","https://openalex.org/W2553498075","https://openalex.org/W2573994149","https://openalex.org/W2585006962","https://openalex.org/W2598634450","https://openalex.org/W2604211872","https://openalex.org/W2606377603","https://openalex.org/W2622829582","https://openalex.org/W2678677036","https://openalex.org/W2736410039","https://openalex.org/W2741961663","https://openalex.org/W2747359207","https://openalex.org/W2754149389","https://openalex.org/W2769077043","https://openalex.org/W2770076563","https://openalex.org/W2788988323","https://openalex.org/W2798329462","https://openalex.org/W2798775284","https://openalex.org/W2887057599","https://openalex.org/W2895077992","https://openalex.org/W2897790770","https://openalex.org/W2926107957","https://openalex.org/W2951527505","https://openalex.org/W2962926870","https://openalex.org/W2963216120","https://openalex.org/W2963235358","https://openalex.org/W2963362748","https://openalex.org/W2963393566","https://openalex.org/W2963438548","https://openalex.org/W2963557772","https://openalex.org/W2963736028","https://openalex.org/W2963854696","https://openalex.org/W2963901085","https://openalex.org/W2963960612","https://openalex.org/W2963972681","https://openalex.org/W2964163358","https://openalex.org/W2984269267","https://openalex.org/W2989607888","https://openalex.org/W2989923292","https://openalex.org/W3099899804","https://openalex.org/W3100555577","https://openalex.org/W6675751002","https://openalex.org/W6682137061","https://openalex.org/W6682864246","https://openalex.org/W6720942401","https://openalex.org/W6730370473","https://openalex.org/W6732208523","https://openalex.org/W6733472083","https://openalex.org/W6735531217","https://openalex.org/W6746131018","https://openalex.org/W6746276670"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W147410782","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W1996690921","https://openalex.org/W4309346246"],"abstract_inverted_index":{"In":[0,132],"this":[1,90],"paper,":[2],"we":[3,92,113,134],"propose":[4],"to":[5,37,72,82,118],"learn":[6],"recurrent":[7],"3D":[8,100,130,138],"attention":[9,35,87,116,139,152],"(A3D)":[10],"for":[11,27],"video-based":[12],"person":[13],"re-identification.":[14],"Attention":[15],"model":[16,36],"plays":[17],"a":[18,41,98,142],"key":[19],"role":[20],"in":[21,128,159,185],"both":[22],"spatial":[23,34,61,80],"and":[24,44,58,62,79,146,151,175,180],"temporal":[25,50,63,78,104],"domains":[26],"video":[28,96],"representation.":[29],"Most":[30],"existing":[31],"methods":[32],"apply":[33],"extract":[38],"feature":[39],"from":[40],"single":[42],"image":[43,46],"aggregate":[45],"features":[47],"with":[48,154,187],"attentive":[49],"pooling":[51],"or":[52],"RNN.":[53],"However,":[54],"the":[55,74,84,94,103,121,124,129,148,155,165,176,183,188],"inherent":[56],"consistencies":[57],"correlations":[59],"between":[60],"clues":[64],"are":[65],"not":[66],"leveraged.":[67],"Our":[68],"A3D":[69],"method":[70,158,167],"aims":[71],"utilize":[73],"joint":[75],"constraints":[76],"of":[77,86,123],"attentions":[81],"enhance":[83],"robustness":[85],"model.":[88],"Towards":[89],"goal,":[91],"treat":[93],"pedestrian":[95],"as":[97,108,141],"unified":[99],"bin":[101],"where":[102],"domain":[105],"is":[106],"denoted":[107],"an":[109,115,160],"additional":[110],"dimension.":[111],"Then":[112],"develop":[114],"agent":[117],"iteratively":[119],"select":[120],"locations":[122],"salient":[125],"spatial-temporal":[126],"parts":[127],"bin.":[131],"addition,":[133],"formulate":[135],"our":[136],"sequential":[137],"learning":[140],"Markov":[143],"Decision":[144],"Process":[145],"train":[147],"representation":[149],"network":[150],"detector":[153],"policy":[156],"gradient":[157],"end-to-end":[161],"manner.":[162],"We":[163],"evaluate":[164],"proposed":[166],"on":[168],"three":[169],"challenging":[170],"datasets":[171],"including":[172],"iLIDS-VID,":[173],"PRID-2011":[174],"large-scale":[177],"MARS":[178],"dataset,":[179],"consistently":[181],"improve":[182],"performance":[184],"comparison":[186],"state-of-the-art":[189],"methods.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
