{"id":"https://openalex.org/W3160343347","doi":"https://doi.org/10.1109/icassp39728.2021.9414439","title":"What And Where To Focus In Person Search","display_name":"What And Where To Focus In Person Search","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3160343347","doi":"https://doi.org/10.1109/icassp39728.2021.9414439","mag":"3160343347"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9414439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101777618","display_name":"Tong Zhou","orcid":"https://orcid.org/0000-0002-8645-5246"},"institutions":[{"id":"https://openalex.org/I4210113003","display_name":"Physical Sciences (United States)","ror":"https://ror.org/021qvjc46","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113003"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Tong Zhou","raw_affiliation_strings":["University of Chinese Academy of Sciences,School of Physical Sciences","School of Physical Sciences, University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,School of Physical Sciences","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of Physical Sciences, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038","https://openalex.org/I4210113003"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022032347","display_name":"Kun Tian","orcid":"https://orcid.org/0000-0003-0157-798X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Tian","raw_affiliation_strings":["University of Chinese Academy of Sciences,School of Artificial Intelligence","School of Artificial Intelligence, University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,School of Artificial Intelligence","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101777618"],"corresponding_institution_ids":["https://openalex.org/I4210113003","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0961,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.36027778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1955","last_page":"1959"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9944999814033508,"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/T11448","display_name":"Face recognition and analysis","score":0.9937000274658203,"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/discriminative-model","display_name":"Discriminative model","score":0.8482086658477783},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8060450553894043},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.7215491533279419},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6994629502296448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6404750943183899},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6179603338241577},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6102659106254578},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5684015154838562},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39123082160949707},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38736483454704285},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33295780420303345}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8482086658477783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8060450553894043},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.7215491533279419},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6994629502296448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6404750943183899},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6179603338241577},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6102659106254578},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5684015154838562},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39123082160949707},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38736483454704285},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33295780420303345},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9414439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1928419358","https://openalex.org/W1982925187","https://openalex.org/W2085161844","https://openalex.org/W2194775991","https://openalex.org/W2613718673","https://openalex.org/W2752782242","https://openalex.org/W2798874329","https://openalex.org/W2883754639","https://openalex.org/W2884030607","https://openalex.org/W2892034016","https://openalex.org/W2896540732","https://openalex.org/W2931882224","https://openalex.org/W2963318220","https://openalex.org/W2963383990","https://openalex.org/W2963404857","https://openalex.org/W2963574614","https://openalex.org/W2963639915","https://openalex.org/W2963681621","https://openalex.org/W2963787027","https://openalex.org/W2963842104","https://openalex.org/W2963901085","https://openalex.org/W2979931389","https://openalex.org/W3100506510","https://openalex.org/W3106250896","https://openalex.org/W6620707391","https://openalex.org/W6703133677","https://openalex.org/W6753257796","https://openalex.org/W6765877273","https://openalex.org/W6785505631","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2020521331","https://openalex.org/W101162712","https://openalex.org/W4256618828","https://openalex.org/W2786691313"],"abstract_inverted_index":{"Person":[0],"search":[1,56],"aims":[2],"to":[3,35,81],"locate":[4],"and":[5,38,45,88,107,115,128],"identify":[6],"the":[7,29,48,53,86,110],"query":[8],"person":[9,50],"from":[10],"a":[11,75],"gallery":[12],"of":[13,31,47,55,85,105,113],"original":[14],"scene":[15],"images.":[16],"Almost":[17],"all":[18],"previous":[19],"methods":[20],"only":[21],"consider":[22],"single":[23],"high-level":[24],"semantic":[25,66],"information,":[26],"ignoring":[27],"that":[28,98],"essence":[30],"identification":[32],"task":[33],"is":[34,79],"learn":[36],"rich":[37],"expressive":[39],"features.":[40],"Additionally,":[41],"large":[42],"pose":[43],"variations":[44],"occlusions":[46],"target":[49,87],"significantly":[51],"increase":[52],"difficulty":[54],"task.":[57],"For":[58],"these":[59],"two":[60,124],"findings,":[61],"we":[62],"first":[63],"propose":[64],"multilevel":[65,103],"aggregation":[67],"algorithm":[68],"for":[69,93],"more":[70],"discriminative":[71],"feature":[72],"descriptors.":[73],"Then,":[74],"pose-assisted":[76],"attention":[77],"module":[78],"designed":[80],"highlight":[82],"fine-grained":[83],"area":[84],"simultaneously":[89],"capture":[90],"valuable":[91],"clues":[92],"identification.":[94],"Extensive":[95],"experiments":[96],"confirm":[97],"our":[99],"framework":[100],"can":[101],"coordinate":[102],"semantics":[104],"persons":[106],"effectively":[108],"alleviate":[109],"adverse":[111],"effects":[112],"occlusion":[114],"various":[116],"pose.":[117],"We":[118],"also":[119],"achieve":[120],"state-of-the-art":[121],"performance":[122],"on":[123],"challenging":[125],"datasets":[126],"CUHK-SYSU":[127],"PRW.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
