{"id":"https://openalex.org/W4405654387","doi":"https://doi.org/10.1007/s10462-024-11047-z","title":"An end-to-end occluded person re-identification network with smoothing corrupted feature prediction","display_name":"An end-to-end occluded person re-identification network with smoothing corrupted feature prediction","publication_year":2024,"publication_date":"2024-12-20","ids":{"openalex":"https://openalex.org/W4405654387","doi":"https://doi.org/10.1007/s10462-024-11047-z"},"language":"en","primary_location":{"id":"doi:10.1007/s10462-024-11047-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-024-11047-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-024-11047-z.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10462-024-11047-z.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103256333","display_name":"Caijie Zhao","orcid":"https://orcid.org/0009-0000-0295-7138"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Caijie Zhao","raw_affiliation_strings":["PAMI Research Group, Department of Computer and Information Science, University of Macau, Taipa, 999078, Macau SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PAMI Research Group, Department of Computer and Information Science, University of Macau, Taipa, 999078, Macau SAR, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101718233","display_name":"Ying Qin","orcid":"https://orcid.org/0009-0009-7335-4962"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Ying Qin","raw_affiliation_strings":["PAMI Research Group, Department of Computer and Information Science, University of Macau, Taipa, 999078, Macau SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PAMI Research Group, Department of Computer and Information Science, University of Macau, Taipa, 999078, Macau SAR, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048088901","display_name":"Bob Zhang","orcid":"https://orcid.org/0000-0003-2497-9519"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Bob Zhang","raw_affiliation_strings":["Centre for Artificial Intelligence and Robotics, Institute of Collaborative Innovation, University of Macau, Taipa, 999078, Macau SAR, China","PAMI Research Group, Department of Computer and Information Science, University of Macau, Taipa, 999078, Macau SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence and Robotics, Institute of Collaborative Innovation, University of Macau, Taipa, 999078, Macau SAR, China","institution_ids":["https://openalex.org/I204512498"]},{"raw_affiliation_string":"PAMI Research Group, Department of Computer and Information Science, University of Macau, Taipa, 999078, Macau SAR, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108055179","display_name":"Yajie Zhao","orcid":"https://orcid.org/0009-0005-0242-4768"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajie Zhao","raw_affiliation_strings":["School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5119011566","display_name":"Bing\u2010Xuan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoyun Wu","raw_affiliation_strings":["School of Data Science, The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data Science, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103256333"],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":{"value":2490,"currency":"EUR","value_usd":3090},"fwci":0.4488,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65407923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"58","issue":"2","first_page":null,"last_page":null},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.996399998664856,"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"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9912999868392944,"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/end-to-end-principle","display_name":"End-to-end principle","score":0.8576494455337524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8180863857269287},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.7495536804199219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5981618165969849},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5726469159126282},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5345415472984314},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4472907781600952},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3393707871437073},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32342708110809326},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.24730423092842102}],"concepts":[{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.8576494455337524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8180863857269287},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.7495536804199219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5981618165969849},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5726469159126282},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5345415472984314},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4472907781600952},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3393707871437073},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32342708110809326},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.24730423092842102},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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:10.1007/s10462-024-11047-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-024-11047-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-024-11047-z.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10462-024-11047-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-024-11047-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-024-11047-z.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7600320328","display_name":null,"funder_award_id":"0028/2023/RIA1","funder_id":"https://openalex.org/F4320323893","funder_display_name":"Fundo para o Desenvolvimento das Ci\u00eancias e da Tecnologia"}],"funders":[{"id":"https://openalex.org/F4320323893","display_name":"Fundo para o Desenvolvimento das Ci\u00eancias e da Tecnologia","ror":"https://ror.org/05vna4324"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405654387.pdf","grobid_xml":"https://content.openalex.org/works/W4405654387.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W46454230","https://openalex.org/W2125447566","https://openalex.org/W2204750386","https://openalex.org/W2519904008","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2606377603","https://openalex.org/W2769346661","https://openalex.org/W2795758732","https://openalex.org/W2798590501","https://openalex.org/W2962926870","https://openalex.org/W2963842104","https://openalex.org/W2963910742","https://openalex.org/W2964201641","https://openalex.org/W2964260687","https://openalex.org/W2979938149","https://openalex.org/W2981393440","https://openalex.org/W3034611771","https://openalex.org/W3034885267","https://openalex.org/W3035539956","https://openalex.org/W3086268256","https://openalex.org/W3097870364","https://openalex.org/W3098711604","https://openalex.org/W3100506510","https://openalex.org/W3115484111","https://openalex.org/W3143016713","https://openalex.org/W3155394509","https://openalex.org/W3175823695","https://openalex.org/W3183523885","https://openalex.org/W3186860856","https://openalex.org/W3189500528","https://openalex.org/W3203532213","https://openalex.org/W3217568419","https://openalex.org/W4200635168","https://openalex.org/W4214736485","https://openalex.org/W4225706465","https://openalex.org/W4280565943","https://openalex.org/W4304098207","https://openalex.org/W4312008284","https://openalex.org/W4312533058","https://openalex.org/W4312951616","https://openalex.org/W4319299883","https://openalex.org/W4361799370","https://openalex.org/W4364856163","https://openalex.org/W4380362481","https://openalex.org/W4382460786","https://openalex.org/W4382467088","https://openalex.org/W4383200119","https://openalex.org/W4386629771","https://openalex.org/W4386702700","https://openalex.org/W4387746040","https://openalex.org/W4388103971","https://openalex.org/W4388192902","https://openalex.org/W4388267486","https://openalex.org/W4388441846","https://openalex.org/W4388818718","https://openalex.org/W4390829957","https://openalex.org/W4391597819","https://openalex.org/W4392011223","https://openalex.org/W4392903473","https://openalex.org/W4392932987","https://openalex.org/W4392979924","https://openalex.org/W4393148671","https://openalex.org/W4393276779","https://openalex.org/W4396532349","https://openalex.org/W4399310898","https://openalex.org/W4399884539","https://openalex.org/W4400647672"],"related_works":["https://openalex.org/W2151749779","https://openalex.org/W1978572805","https://openalex.org/W2383807498","https://openalex.org/W3179968364","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2019977573","https://openalex.org/W4404782863"],"abstract_inverted_index":{"Abstract":[0],"Occluded":[1],"person":[2,128,228],"re-identification":[3],"(ReID)":[4],"is":[5,157,195],"a":[6,115,168,191],"challenging":[7],"task":[8],"as":[9,102,104],"the":[10,34,44,72,86,93,100,144,182,199,202,211,220,240,246,262],"images":[11],"suffer":[12],"from":[13,66],"various":[14],"obstacles":[15],"and":[16,38,53,140,148,152,226,231,253,258,276],"less":[17],"discriminative":[18],"information":[19,205],"caused":[20],"by":[21,88,132,159],"incomplete":[22],"body":[23,36,46,204],"parts.":[24],"Most":[25],"current":[26],"works":[27,78],"rely":[28],"on":[29],"auxiliary":[30],"models":[31],"to":[32,42,180,197,219],"infer":[33],"visible":[35],"parts":[37],"partial-level":[39],"features":[40],"matching":[41],"overcome":[43],"contaminated":[45],"information,":[47],"which":[48,156],"consumes":[49],"extra":[50],"inference":[51],"time":[52],"fails":[54],"when":[55,186],"facing":[56],"complex":[57],"occlusions.":[58,108],"More":[59],"recently,":[60],"some":[61],"methods":[62,223],"utilized":[63],"masks":[64],"provided":[65],"image":[67,87],"occlusion":[68,80,142],"augmentation":[69],"(OA)":[70],"for":[71,82,126,206],"supervision":[73],"of":[74,85,170,184,201,213,250,272],"mask":[75,160],"learning.":[76],"These":[77],"estimated":[79],"scores":[81],"each":[83],"part":[84],"roughly":[89],"dividing":[90],"it":[91],"in":[92,106,122,138,224,255,267,274,278],"horizontal":[94],"direction,":[95],"but":[96],"cannot":[97],"accurately":[98],"predict":[99],"occlusion,":[101],"well":[103,266],"failing":[105],"vertical":[107],"To":[109,209],"address":[110],"this":[111],"issue,":[112],"we":[113,215],"proposed":[114,145,263],"Smoothing":[116,178],"Corrupted":[117],"Feature":[118],"Prediction":[119],"(SCFP)":[120],"network":[121],"an":[123,175],"end-to-end":[124],"manner":[125],"occluded":[127,225],"ReID.":[129],"Specifically,":[130],"aided":[131],"OA":[133],"that":[134,233],"simulates":[135],"occlusions":[136,166],"appearing":[137],"pedestrians":[139],"providing":[141],"masks,":[143],"Occlusion":[146,176],"Decoder":[147],"Estimator":[149],"(ODE)":[150],"estimates":[151],"eliminates":[153],"corrupted":[154],"features,":[155],"supervised":[158],"labels":[161],"generated":[162],"via":[163],"restricting":[164],"all":[165],"into":[167],"group":[169],"patterns.":[171],"We":[172,243],"also":[173,244],"designed":[174],"Pattern":[177],"(OPS)":[179],"improve":[181],"performance":[183,212],"ODE":[185],"predicting":[187],"irregular":[188],"obstacles.":[189],"Subsequently,":[190],"Local-to-Body":[192],"(L2B)":[193],"representation":[194],"constructed":[196],"mitigate":[198],"limitation":[200],"partial":[203],"final":[207],"matching.":[208],"investigate":[210],"SCFP,":[214],"compared":[216],"our":[217,234],"model":[218],"existing":[221],"state-of-the-art":[222,241],"holistic":[227,268],"ReID":[229],"benchmarks":[230],"proved":[232],"method":[235],"achieves":[236],"superior":[237],"results":[238],"over":[239],"methods.":[242],"achieved":[245],"highest":[247],"Rank-1":[248],"accuracies":[249,271],"70.9%,":[251],"87.0%,":[252],"93.2%":[254],"Occluded-Duke,":[256],"Occluded-ReID,":[257],"P-DukeMTMC,":[259],"respectively.":[260],"Furthermore,":[261],"SCFP":[264],"generalizes":[265],"datasets,":[269],"yielding":[270],"95.8%":[273],"Market-1510":[275],"90.7%":[277],"DukeMTMC-reID.":[279]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
