{"id":"https://openalex.org/W4388103971","doi":"https://doi.org/10.1109/tcsvt.2023.3328712","title":"3D Person Re-Identification Based on Global Semantic Guidance and Local Feature Aggregation","display_name":"3D Person Re-Identification Based on Global Semantic Guidance and Local Feature Aggregation","publication_year":2023,"publication_date":"2023-10-30","ids":{"openalex":"https://openalex.org/W4388103971","doi":"https://doi.org/10.1109/tcsvt.2023.3328712"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3328712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3328712","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/A5037445341","display_name":"Changshuo Wang","orcid":"https://orcid.org/0000-0002-4056-4922"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210139765","display_name":"Beijing Computing Center","ror":"https://ror.org/047r47y76","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210139765"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]},{"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":true,"raw_author_name":"Changshuo Wang","raw_affiliation_strings":["Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China","Center of Materials Science and Optoelectronics Engineering & School of Microelectronics, University of Chinese Academy of Sciences, Beijing, China","Cognitive Computing Technology Joint Laboratory, Wave Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210149211","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Center of Materials Science and Optoelectronics Engineering & School of Microelectronics, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Cognitive Computing Technology Joint Laboratory, Wave Group, Beijing, China","institution_ids":["https://openalex.org/I4210139765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078037196","display_name":"Xin Ning","orcid":"https://orcid.org/0000-0001-7897-1673"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210139765","display_name":"Beijing Computing Center","ror":"https://ror.org/047r47y76","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210139765"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Ning","raw_affiliation_strings":["Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China","Cognitive Computing Technology Joint Laboratory, Wave Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210149211","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Cognitive Computing Technology Joint Laboratory, Wave Group, Beijing, China","institution_ids":["https://openalex.org/I4210139765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003551786","display_name":"Weijun Li","orcid":"https://orcid.org/0000-0001-9668-2883"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210149211","display_name":"Institute of Semiconductors","ror":"https://ror.org/048dd0611","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210149211"]},{"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":"Weijun Li","raw_affiliation_strings":["Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China","Center of Materials Science and Optoelectronics Engineering & School of Microelectronics, University of Chinese Academy of Sciences, Beijing, China","Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210149211","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Center of Materials Science and Optoelectronics Engineering & School of Microelectronics, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101790836","display_name":"Xiao Bai","orcid":"https://orcid.org/0000-0001-8561-9299"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Bai","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004694827","display_name":"Xingyu Gao","orcid":"https://orcid.org/0000-0002-4660-8092"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyu Gao","raw_affiliation_strings":["Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037445341"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210139765","https://openalex.org/I4210149211","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":6.2693,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.97626613,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"34","issue":"6","first_page":"4698","last_page":"4712"},"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":0.9988999962806702,"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":0.9957000017166138,"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":0.6832215785980225},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6147766709327698},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.59134441614151},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5398589372634888},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4415389597415924},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4248812794685364},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36998996138572693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6832215785980225},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6147766709327698},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.59134441614151},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5398589372634888},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4415389597415924},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4248812794685364},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36998996138572693},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2023.3328712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3328712","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":0.44999998807907104,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1333402700","display_name":null,"funder_award_id":"62376264","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2672488456","display_name":null,"funder_award_id":"L233036","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G8748841592","display_name":null,"funder_award_id":"62373343","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":116,"referenced_works":["https://openalex.org/W1518138188","https://openalex.org/W1920022804","https://openalex.org/W1949591461","https://openalex.org/W1982925187","https://openalex.org/W2040870580","https://openalex.org/W2171277043","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2211722331","https://openalex.org/W2235916736","https://openalex.org/W2531440880","https://openalex.org/W2560609797","https://openalex.org/W2585635281","https://openalex.org/W2604463754","https://openalex.org/W2735680049","https://openalex.org/W2738406610","https://openalex.org/W2768610172","https://openalex.org/W2785286326","https://openalex.org/W2795758732","https://openalex.org/W2798590501","https://openalex.org/W2798874329","https://openalex.org/W2799162093","https://openalex.org/W2883780447","https://openalex.org/W2897450186","https://openalex.org/W2906502833","https://openalex.org/W2957279468","https://openalex.org/W2962706983","https://openalex.org/W2962923976","https://openalex.org/W2962926870","https://openalex.org/W2963047834","https://openalex.org/W2963049565","https://openalex.org/W2963163009","https://openalex.org/W2963231572","https://openalex.org/W2963289251","https://openalex.org/W2963322158","https://openalex.org/W2963330186","https://openalex.org/W2963383990","https://openalex.org/W2963446712","https://openalex.org/W2963509914","https://openalex.org/W2963574614","https://openalex.org/W2963805953","https://openalex.org/W2963842104","https://openalex.org/W2963910742","https://openalex.org/W2963995996","https://openalex.org/W2964044605","https://openalex.org/W2964130064","https://openalex.org/W2964140013","https://openalex.org/W2964304299","https://openalex.org/W2971765950","https://openalex.org/W2979750740","https://openalex.org/W2980535048","https://openalex.org/W2981393440","https://openalex.org/W2991284067","https://openalex.org/W2994675267","https://openalex.org/W2998508940","https://openalex.org/W2998792609","https://openalex.org/W3005339439","https://openalex.org/W3009238880","https://openalex.org/W3014571942","https://openalex.org/W3024957307","https://openalex.org/W3026581226","https://openalex.org/W3028438843","https://openalex.org/W3047312295","https://openalex.org/W3084016763","https://openalex.org/W3093591919","https://openalex.org/W3096609285","https://openalex.org/W3097245252","https://openalex.org/W3098711604","https://openalex.org/W3100506510","https://openalex.org/W3103352455","https://openalex.org/W3109646990","https://openalex.org/W3111255625","https://openalex.org/W3111535274","https://openalex.org/W3125736290","https://openalex.org/W3153465022","https://openalex.org/W3155390614","https://openalex.org/W3158405343","https://openalex.org/W3159331020","https://openalex.org/W3173671050","https://openalex.org/W3174141591","https://openalex.org/W3175823695","https://openalex.org/W3192401306","https://openalex.org/W3197097949","https://openalex.org/W3204568647","https://openalex.org/W3216152243","https://openalex.org/W3217163153","https://openalex.org/W4200294682","https://openalex.org/W4214736485","https://openalex.org/W4220906215","https://openalex.org/W4221160819","https://openalex.org/W4225619493","https://openalex.org/W4226053849","https://openalex.org/W4226160668","https://openalex.org/W4229372676","https://openalex.org/W4281382292","https://openalex.org/W4281732104","https://openalex.org/W4283322911","https://openalex.org/W4285259379","https://openalex.org/W4295700816","https://openalex.org/W4302774237","https://openalex.org/W4304098207","https://openalex.org/W4312270234","https://openalex.org/W4312546175","https://openalex.org/W4312569019","https://openalex.org/W4312903973","https://openalex.org/W4312951616","https://openalex.org/W4319986884","https://openalex.org/W4323647556","https://openalex.org/W4386076097","https://openalex.org/W6728374919","https://openalex.org/W6739778489","https://openalex.org/W6754663736","https://openalex.org/W6755740987","https://openalex.org/W6804764442","https://openalex.org/W6810249204","https://openalex.org/W6839446344"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278","https://openalex.org/W2886173746","https://openalex.org/W4200043248"],"abstract_inverted_index":{"Person":[0],"re-identification":[1],"(Re-ID)":[2],"has":[3,14],"played":[4],"an":[5,23,137,215],"extremely":[6],"crucial":[7],"role":[8],"in":[9,118,156,164,218],"ensuring":[10],"social":[11],"safety":[12],"and":[13,30,53,60,99,122,183],"attracted":[15],"considerable":[16],"research":[17],"attention.":[18],"3D":[19,49,78,87,129],"shape":[20,31,79,130],"information":[21,152],"is":[22,109,223],"important":[24],"clue":[25],"to":[26,76,123,135,212],"understand":[27],"the":[28,47,54,58,113,125,165,201,206],"posture":[29],"of":[32,81,86,92,140,208],"pedestrians.":[33],"However,":[34],"most":[35],"existing":[36],"person":[37,175,180,196],"Re-ID":[38,72,176,181,197],"methods":[39],"learn":[40],"pedestrian":[41],"feature":[42,101,116,120],"representations":[43,80],"from":[44,83,210],"images,":[45],"ignoring":[46],"real":[48],"human":[50,154],"body":[51],"structure":[52],"spatial":[55],"relationship":[56],"between":[57],"pedestrians":[59,82],"interferents.":[61],"To":[62],"address":[63],"this":[64],"problem,":[65],"our":[66],"devise":[67],"a":[68],"new":[69],"point":[70,84,114,141,158,185],"cloud":[71,115,186],"network":[73],"(PointReIDNet),":[74],"designed":[75,110],"obtain":[77],"clouds":[85,159],"scenes.":[88],"The":[89,104,189,220],"model":[90],"consists":[91],"modules,":[93],"namely":[94],"global":[95,105],"semantic":[96,106],"guidance":[97,107],"module":[98,108],"local":[100,157],"extraction":[102],"module.":[103],"by":[111,128,160],"enhancing":[112],"representation":[117,139],"similar":[119],"neighborhoods":[121],"reduce":[124],"interference":[126],"caused":[127],"reconstruction":[131],"or":[132],"noise.":[133],"Further,":[134],"provide":[136],"efficient":[138,203],"clouds,":[142],"we":[143],"propose":[144],"space":[145],"cover":[146],"convolution":[147],"(SC-Conv),":[148],"which":[149],"efficiently":[150],"encodes":[151],"on":[153,172],"shapes":[155],"constructing":[161],"anisotropic":[162],"geometries":[163],"coordinate":[166],"neighborhoods.":[167],"Extensive":[168],"experiments":[169],"are":[170],"conducted":[171],"four":[173],"holistic":[174],"datasets,":[177],"one":[178,184],"occlusion":[179],"dataset":[182],"classification":[187],"dataset.":[188],"results":[190],"exhibit":[191],"significant":[192],"improvements":[193],"over":[194],"point-cloud-based":[195],"methods.":[198],"In":[199],"particular,":[200],"proposed":[202],"PointReIDNet":[204],"decreases":[205],"number":[207],"parameters":[209],"2.30M":[211],"0.35M":[213],"with":[214],"insignificant":[216],"drop":[217],"performance.":[219],"source":[221],"code":[222],"available":[224],"at:":[225],"https://github.com/changshuowang/PointReIDNet.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":31},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
