{"id":"https://openalex.org/W4225329940","doi":"https://doi.org/10.1109/icassp43922.2022.9746734","title":"Occluded Person Re-Identification Via Relational Adaptive Feature Correction Learning","display_name":"Occluded Person Re-Identification Via Relational Adaptive Feature Correction Learning","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4225329940","doi":"https://doi.org/10.1109/icassp43922.2022.9746734"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9746734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746734","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 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/A5100333898","display_name":"Minjung Kim","orcid":"https://orcid.org/0009-0007-9727-9376"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minjung Kim","raw_affiliation_strings":["Yonsei University,School of Electrical and Electronic Engineering","School of Electrical and Electronic Engineering, Yonsei University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Electrical and Electronic Engineering","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Yonsei University","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010029584","display_name":"MyeongAh Cho","orcid":"https://orcid.org/0000-0001-9330-2785"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"MyeongAh Cho","raw_affiliation_strings":["Yonsei University,School of Electrical and Electronic Engineering","School of Electrical and Electronic Engineering, Yonsei University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Electrical and Electronic Engineering","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Yonsei University","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083871820","display_name":"Heansung Lee","orcid":"https://orcid.org/0000-0003-4012-3219"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heansung Lee","raw_affiliation_strings":["Yonsei University,School of Electrical and Electronic Engineering","School of Electrical and Electronic Engineering, Yonsei University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Electrical and Electronic Engineering","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Yonsei University","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055345711","display_name":"Suhwan Cho","orcid":"https://orcid.org/0000-0002-1547-807X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Suhwan Cho","raw_affiliation_strings":["Yonsei University,School of Electrical and Electronic Engineering","School of Electrical and Electronic Engineering, Yonsei University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Electrical and Electronic Engineering","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Yonsei University","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015739530","display_name":"Sangyoun Lee","orcid":"https://orcid.org/0000-0003-0394-6777"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangyoun Lee","raw_affiliation_strings":["Yonsei University,School of Electrical and Electronic Engineering","School of Electrical and Electronic Engineering, Yonsei University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Electrical and Electronic Engineering","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Yonsei University","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3567,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.87151274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2719","last_page":"2723"},"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":0.9986000061035156,"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":0.9958999752998352,"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":0.8213156461715698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7254273891448975},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7240597009658813},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5732401013374329},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5574455857276917},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5197227001190186},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5008578300476074},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43432047963142395},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42398595809936523},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.42350879311561584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8213156461715698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7254273891448975},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7240597009658813},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5732401013374329},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5574455857276917},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5197227001190186},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5008578300476074},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43432047963142395},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42398595809936523},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.42350879311561584},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9746734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746734","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1982925187","https://openalex.org/W2204750386","https://openalex.org/W2585635281","https://openalex.org/W2752782242","https://openalex.org/W2954765307","https://openalex.org/W2963842104","https://openalex.org/W2963907629","https://openalex.org/W2964140013","https://openalex.org/W2967515867","https://openalex.org/W2981393440","https://openalex.org/W2990317318","https://openalex.org/W2998493658","https://openalex.org/W3035539956","https://openalex.org/W3097870364","https://openalex.org/W3107308941","https://openalex.org/W3115484111","https://openalex.org/W3174656328","https://openalex.org/W3175823695","https://openalex.org/W6687888618","https://openalex.org/W6738893770","https://openalex.org/W6761583661","https://openalex.org/W6781624864"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W2905271011","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579","https://openalex.org/W1872833176","https://openalex.org/W4309346246"],"abstract_inverted_index":{"Occluded":[0],"person":[1,15,34,37],"re-identification":[2],"(Re-ID)":[3],"in":[4,23,109],"images":[5],"captured":[6],"by":[7,18],"multiple":[8],"cameras":[9],"is":[10,16],"challenging":[11,146],"because":[12],"the":[13,29,40,45,56,123],"target":[14],"occluded":[17,36,150,168],"pedestrians":[19],"or":[20,59],"objects,":[21],"especially":[22,166],"crowded":[24],"scenes.":[25],"In":[26,98],"addition":[27],"to":[28,68,111,116,155,163],"processes":[30],"performed":[31],"during":[32],"holistic":[33,152],"Re-ID,":[35],"Re-ID":[38,153],"involves":[39],"removal":[41],"of":[42,47,105,125],"obstacles":[43],"and":[44,88,91,137,151],"detection":[46],"partially":[48],"visible":[49],"body":[50],"parts.":[51],"Most":[52],"existing":[53],"methods":[54,165],"utilize":[55],"off-the-shelf":[57],"pose":[58],"parsing":[60],"networks":[61],"as":[62],"pseudo":[63],"labels,":[64],"which":[65],"are":[66],"prone":[67],"error.":[69],"To":[70],"address":[71],"these":[72],"issues,":[73],"we":[74,100,121],"propose":[75],"a":[76,102,106],"novel":[77],"Occlusion":[78],"Correction":[79],"Network":[80],"(OCNet)":[81],"that":[82,157],"corrects":[83],"features":[84,93,136],"through":[85],"relational-weight":[86],"learning":[87],"obtains":[89],"diverse":[90],"representative":[92],"without":[94],"using":[95],"external":[96],"networks.":[97],"addition,":[99],"present":[101],"simple":[103],"concept":[104],"center":[107],"feature":[108],"order":[110],"provide":[112],"an":[113],"intuitive":[114],"solution":[115],"pedestrian":[117],"occlusion":[118],"scenarios.":[119],"Furthermore,":[120],"suggest":[122],"idea":[124],"Separation":[126],"Loss":[127],"(SL)":[128],"for":[129,149],"focusing":[130],"on":[131,144,167],"different":[132],"parts":[133],"between":[134],"global":[135],"part":[138],"features.":[139],"We":[140],"conduct":[141],"extensive":[142],"experiments":[143],"five":[145],"benchmark":[147],"datasets":[148],"tasks":[154],"demonstrate":[156],"our":[158],"method":[159],"achieves":[160],"superior":[161],"performance":[162],"state-of-the-art":[164],"scene.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}