{"id":"https://openalex.org/W2970264417","doi":"https://doi.org/10.1109/icip.2019.8803723","title":"A New Data Selection Strategy for One-Shot Video-Based Person Re-Identification","display_name":"A New Data Selection Strategy for One-Shot Video-Based Person Re-Identification","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970264417","doi":"https://doi.org/10.1109/icip.2019.8803723","mag":"2970264417"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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/A5101886607","display_name":"Jianfeng Yin","orcid":"https://orcid.org/0000-0002-5887-446X"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Yin","raw_affiliation_strings":["Peking University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"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/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bairong Li","raw_affiliation_strings":["Peking University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103035430","display_name":"Fang Wan","orcid":"https://orcid.org/0000-0003-0140-2952"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Wan","raw_affiliation_strings":["Peking University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"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/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuesheng Zhu","raw_affiliation_strings":["Peking University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1017,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.44061285,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1227","last_page":"1231"},"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":0.9976999759674072,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.768484890460968},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6535059809684753},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6293470859527588},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6191137433052063},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5862769484519958},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5087452530860901},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5027413368225098},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.4719133675098419},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.44032612442970276},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4317750930786133},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4239542782306671},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4102478623390198},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08522742986679077}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.768484890460968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6535059809684753},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6293470859527588},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6191137433052063},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5862769484519958},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5087452530860901},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5027413368225098},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.4719133675098419},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.44032612442970276},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4317750930786133},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4239542782306671},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4102478623390198},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08522742986679077},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":1,"locations":[{"id":"doi:10.1109/icip.2019.8803723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1991209141","https://openalex.org/W1999478721","https://openalex.org/W2097117768","https://openalex.org/W2136940668","https://openalex.org/W2194775991","https://openalex.org/W2511791013","https://openalex.org/W2520433280","https://openalex.org/W2584637367","https://openalex.org/W2592691248","https://openalex.org/W2740687571","https://openalex.org/W2778652957","https://openalex.org/W2793808377","https://openalex.org/W2798385569","https://openalex.org/W2799185441","https://openalex.org/W2888819616","https://openalex.org/W2891440844","https://openalex.org/W2953070460","https://openalex.org/W2963852441","https://openalex.org/W2963960612","https://openalex.org/W2963975998","https://openalex.org/W2963989829","https://openalex.org/W6725558437","https://openalex.org/W6726951882","https://openalex.org/W6733814495","https://openalex.org/W6754906984"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W4298312966","https://openalex.org/W2389015757"],"abstract_inverted_index":{"Person":[0],"re-identification":[1,97],"under":[2],"one-shot":[3,94],"setting":[4],"is":[5,51,100],"an":[6,28,52],"under-researched":[7],"semi-supervised":[8],"task":[9],"in":[10,12],"essence,":[11],"which":[13],"label":[14,49],"estimation":[15,50],"and":[16,36,42,65,84,113,124],"data":[17,45,64,73,86],"selection":[18],"are":[19,59,74],"two":[20,141],"key":[21],"modules.":[22],"In":[23,47],"this":[24],"paper,":[25],"we":[26],"propose":[27],"effective":[29],"strategy":[30],"named":[31,98],"Collaboration":[32],"between":[33],"the":[34,104,126,131,136,140],"Labeled":[35],"Unlabeled(CLU)":[37],"to":[38,102],"estimate":[39],"pseudo":[40,119],"labels":[41,120],"select":[43],"reliable":[44,72],"progressively.":[46],"CLU,":[48],"iterative":[53],"process":[54],"where":[55],"class":[56],"center":[57],"representations":[58],"estimated":[60],"by":[61,67,81],"high-scored":[62],"unlabeled":[63,85],"corrected":[66],"corresponding":[68],"labeled":[69,83],"data.":[70],"Then":[71],"selected":[75],"based":[76],"on":[77,111,139],"confidence":[78],"scores":[79],"decided":[80],"both":[82],"actually.":[87],"Moreover,":[88],"a":[89],"stepwise":[90],"learning":[91],"framework":[92],"for":[93],"video-based":[95],"person":[96],"SCLU":[99,134],"implemented":[101],"validate":[103],"effectiveness":[105],"of":[106,121],"CLU.":[107],"Extensive":[108],"experiments":[109],"conducted":[110],"MARS":[112],"DukeMTMC-VideoReID":[114],"illustrate":[115],"that":[116],"CLU":[117],"generates":[118],"high":[122],"quality":[123],"facilitates":[125],"subsequent":[127],"model":[128],"training.":[129],"Meanwhile,":[130],"developed":[132],"scheme":[133],"yields":[135],"state-of-the-art":[137],"results":[138],"datasets.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}