{"id":"https://openalex.org/W4285159170","doi":"https://doi.org/10.1109/tcsvt.2022.3179441","title":"Context-Aware Feature Learning for Noise Robust Person Search","display_name":"Context-Aware Feature Learning for Noise Robust Person Search","publication_year":2022,"publication_date":"2022-05-30","ids":{"openalex":"https://openalex.org/W4285159170","doi":"https://doi.org/10.1109/tcsvt.2022.3179441"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3179441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3179441","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5064237960","display_name":"Cairong Zhao","orcid":"https://orcid.org/0000-0001-6745-9674"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cairong Zhao","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6745-9674","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101462413","display_name":"Zhicheng Chen","orcid":"https://orcid.org/0000-0002-1587-5892"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhicheng Chen","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039546706","display_name":"Shuguang Dou","orcid":"https://orcid.org/0000-0003-3231-8817"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuguang Dou","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048670857","display_name":"Zefan Qu","orcid":"https://orcid.org/0009-0006-5347-6426"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zefan Qu","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041075938","display_name":"Jiawei Yao","orcid":"https://orcid.org/0000-0001-7321-3128"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I4210136431","display_name":"Shanghai Tongji Urban Planning and Design Institute","ror":"https://ror.org/03gb38m78","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136431"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Yao","raw_affiliation_strings":["College of Architecture and Urban Planning, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Architecture and Urban Planning, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I4210136431","https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075806425","display_name":"Jun Wu","orcid":"https://orcid.org/0000-0001-7090-8653"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wu","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7090-8653","affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024791074","display_name":"Duoqian Miao","orcid":"https://orcid.org/0000-0001-6588-1468"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duoqian Miao","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6588-1468","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5064237960"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":2.8572,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.92100552,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"32","issue":"10","first_page":"7047","last_page":"7060"},"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":0.9839000105857849,"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":0.9837999939918518,"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":0.7983893156051636},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7436398863792419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6823350191116333},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5834013223648071},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5769505500793457},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4917347729206085},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.46837860345840454},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4431617259979248},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43552166223526},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43097952008247375},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14202001690864563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7983893156051636},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7436398863792419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6823350191116333},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5834013223648071},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5769505500793457},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4917347729206085},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.46837860345840454},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4431617259979248},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43552166223526},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43097952008247375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14202001690864563},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2022.3179441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3179441","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"},{"score":0.44999998807907104,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1733004084","display_name":null,"funder_award_id":"61673299","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G23458378","display_name":null,"funder_award_id":"61976160","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3308686228","display_name":null,"funder_award_id":"22ZR1466700","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G5036809106","display_name":null,"funder_award_id":"62076182","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5686205310","display_name":null,"funder_award_id":"62076184","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1650122911","https://openalex.org/W1840106123","https://openalex.org/W1921293667","https://openalex.org/W1959608418","https://openalex.org/W1994623790","https://openalex.org/W2031454541","https://openalex.org/W2085161844","https://openalex.org/W2463071499","https://openalex.org/W2519284461","https://openalex.org/W2526833393","https://openalex.org/W2531440880","https://openalex.org/W2585006962","https://openalex.org/W2795758732","https://openalex.org/W2883754639","https://openalex.org/W2884030607","https://openalex.org/W2895675617","https://openalex.org/W2917092108","https://openalex.org/W2931882224","https://openalex.org/W2943826729","https://openalex.org/W2943960148","https://openalex.org/W2946574625","https://openalex.org/W2953106684","https://openalex.org/W2958977166","https://openalex.org/W2963000559","https://openalex.org/W2963047834","https://openalex.org/W2963150697","https://openalex.org/W2963383990","https://openalex.org/W2963574614","https://openalex.org/W2963787027","https://openalex.org/W2963814162","https://openalex.org/W2963842104","https://openalex.org/W2963901085","https://openalex.org/W2964080601","https://openalex.org/W2964186374","https://openalex.org/W2964309429","https://openalex.org/W2978968642","https://openalex.org/W2981842371","https://openalex.org/W2982651953","https://openalex.org/W2985817549","https://openalex.org/W2990501368","https://openalex.org/W2996695408","https://openalex.org/W2997268173","https://openalex.org/W2997590484","https://openalex.org/W3005339439","https://openalex.org/W3014726960","https://openalex.org/W3029767270","https://openalex.org/W3034230918","https://openalex.org/W3034308694","https://openalex.org/W3034973071","https://openalex.org/W3035094850","https://openalex.org/W3035228163","https://openalex.org/W3035376925","https://openalex.org/W3043178985","https://openalex.org/W3046320925","https://openalex.org/W3092918212","https://openalex.org/W3093295834","https://openalex.org/W3099168143","https://openalex.org/W3100506510","https://openalex.org/W3105077954","https://openalex.org/W3117037827","https://openalex.org/W3127553939","https://openalex.org/W3164324758","https://openalex.org/W3170005157","https://openalex.org/W3174505228","https://openalex.org/W3177239166","https://openalex.org/W3203596689","https://openalex.org/W3204913553","https://openalex.org/W6620707391","https://openalex.org/W6636787326","https://openalex.org/W6640298173","https://openalex.org/W6640963894","https://openalex.org/W6726508743","https://openalex.org/W6728374919","https://openalex.org/W6747428963"],"related_works":["https://openalex.org/W1504288058","https://openalex.org/W2990667865","https://openalex.org/W2331674254","https://openalex.org/W2016648070","https://openalex.org/W2167293474","https://openalex.org/W3042897387","https://openalex.org/W2048505601","https://openalex.org/W2017205855","https://openalex.org/W2116675934","https://openalex.org/W2544359817"],"abstract_inverted_index":{"Person":[0],"search":[1,183],"aims":[2],"to":[3,61,78,82,106,166],"localize":[4],"and":[5,32,41,109,112,126,150],"identify":[6],"specific":[7],"pedestrians":[8,88,111,153],"from":[9,38,47,69,73],"numerous":[10],"surveillance":[11],"scene":[12,70,90],"images.":[13,71],"In":[14],"this":[15],"work,":[16],"we":[17,54,122],"focus":[18],"on":[19],"the":[20,27,48,65,84,94,98,136,140,151,157,161,168,177,192],"noise":[21,28,31,36,45,163],"in":[22,89],"person":[23,133,182],"search.":[24,134],"We":[25],"categorize":[26],"into":[29],"scene-inherent":[30,52],"human-introduced":[33,120],"noise.":[34],"Scene-inherent":[35],"comes":[37],"congestion,":[39],"occlusion,":[40],"illumination":[42],"changes.":[43],"Human-introduced":[44],"originates":[46],"labeling":[49],"process.":[50],"For":[51,119],"noise,":[53,121],"propose":[55,123],"a":[56,124],"novel":[57],"context":[58,74],"contrastive":[59,80],"loss":[60],"take":[62],"advantage":[63],"of":[64,97,145,171,194],"latent":[66],"contextual":[67],"information":[68],"Features":[72],"regions":[75],"are":[76,154],"utilized":[77],"construct":[79],"pairs":[81],"constrain":[83],"feature":[85,95,143],"discrimination":[86],"among":[87],"images":[91],"while":[92],"maintaining":[93],"consistency":[96],"same":[99],"identity.":[100],"The":[101],"network":[102],"can":[103,116,184],"thus":[104],"learn":[105],"distinguish":[107],"congested":[108],"overlapped":[110],"more":[113],"robust":[114,132],"features":[115],"be":[117],"obtained.":[118],"noise-discovery":[125],"noise-suppression":[127],"training":[128,138,159],"process":[129],"for":[130],"mislabeling":[131],"After":[135],"first":[137],"pass,":[139,160],"relation":[141],"between":[142],"prototypes":[144],"different":[146],"identities":[147],"is":[148,164],"analyzed":[149],"mislabeled":[152,172],"discovered.":[155],"During":[156],"second":[158],"label":[162],"suppressed":[165],"reduce":[167],"negative":[169],"influence":[170],"data.":[173],"Experiments":[174],"show":[175],"that":[176],"proposed":[178],"context-aware":[179],"noise-robust":[180],"(CANR)":[181],"achieve":[185],"competitive":[186],"performance.":[187],"Further":[188],"ablation":[189],"studies":[190],"confirm":[191],"effectiveness":[193],"CANR.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
