{"id":"https://openalex.org/W3013799809","doi":"https://doi.org/10.1109/tcsvt.2020.2982962","title":"Person Attribute Recognition by Sequence Contextual Relation Learning","display_name":"Person Attribute Recognition by Sequence Contextual Relation Learning","publication_year":2020,"publication_date":"2020-03-24","ids":{"openalex":"https://openalex.org/W3013799809","doi":"https://doi.org/10.1109/tcsvt.2020.2982962","mag":"3013799809"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2020.2982962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.2982962","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/A5014956557","display_name":"Jingjing Wu","orcid":"https://orcid.org/0000-0002-3818-4277"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingjing Wu","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458818","display_name":"Hao Liu","orcid":"https://orcid.org/0000-0002-5248-935X"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Liu","raw_affiliation_strings":["Tencent Youtu Lab, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Tencent Youtu Lab, Hefei, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002727597","display_name":"Jianguo Jiang","orcid":"https://orcid.org/0000-0002-9349-6337"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianguo Jiang","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China","School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073550769","display_name":"Meibin Qi","orcid":"https://orcid.org/0000-0001-9074-211X"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meibin Qi","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China","School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073750509","display_name":"Bo Ren","orcid":"https://orcid.org/0000-0002-0619-7188"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Ren","raw_affiliation_strings":["Tencent Youtu Lab, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Tencent Youtu Lab, Hefei, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451524","display_name":"Xiaohong Li","orcid":"https://orcid.org/0000-0003-1187-2042"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohong Li","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China","School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066198756","display_name":"Yashen Wang","orcid":"https://orcid.org/0000-0001-9414-4985"},"institutions":[{"id":"https://openalex.org/I4210130112","display_name":"China Academy of Information and Communications Technology","ror":"https://ror.org/038dte259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130112","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yashen Wang","raw_affiliation_strings":["China Academy of Electronics and Information Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Academy of Electronics and Information Technology, Beijing, China","institution_ids":["https://openalex.org/I4210130112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5014956557"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":1.8648,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.87803786,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"30","issue":"10","first_page":"3398","last_page":"3412"},"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":0.9983000159263611,"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":0.9919999837875366,"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":0.7547317743301392},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.7201316952705383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6338239908218384},{"id":"https://openalex.org/keywords/spatial-relation","display_name":"Spatial relation","score":0.5936470031738281},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.5556036233901978},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5052598118782043},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4857354760169983},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4666445553302765},{"id":"https://openalex.org/keywords/connectionism","display_name":"Connectionism","score":0.4640030264854431},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4410174489021301},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.43940269947052},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.43572378158569336},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.43414872884750366},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3596208691596985},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32097864151000977},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2992473542690277}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7547317743301392},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7201316952705383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6338239908218384},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.5936470031738281},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.5556036233901978},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5052598118782043},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4857354760169983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4666445553302765},{"id":"https://openalex.org/C8521452","wikidata":"https://www.wikidata.org/wiki/Q203790","display_name":"Connectionism","level":3,"score":0.4640030264854431},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4410174489021301},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.43940269947052},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.43572378158569336},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.43414872884750366},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3596208691596985},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32097864151000977},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2992473542690277},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2020.2982962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.2982962","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":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"},{"score":0.41999998688697815,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2619284878","display_name":null,"funder_award_id":"61876056","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6064834736","display_name":null,"funder_award_id":"61771180","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W146395692","https://openalex.org/W262462045","https://openalex.org/W1522301498","https://openalex.org/W1962025484","https://openalex.org/W2096733369","https://openalex.org/W2108598243","https://openalex.org/W2111025459","https://openalex.org/W2121948146","https://openalex.org/W2127141656","https://openalex.org/W2134270519","https://openalex.org/W2147414309","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2308869522","https://openalex.org/W2410968923","https://openalex.org/W2483458289","https://openalex.org/W2526425061","https://openalex.org/W2537170730","https://openalex.org/W2585006962","https://openalex.org/W2585635281","https://openalex.org/W2591488409","https://openalex.org/W2598634450","https://openalex.org/W2604463754","https://openalex.org/W2613904329","https://openalex.org/W2678677036","https://openalex.org/W2724323253","https://openalex.org/W2738406610","https://openalex.org/W2766111649","https://openalex.org/W2773649561","https://openalex.org/W2785681938","https://openalex.org/W2799047769","https://openalex.org/W2799797509","https://openalex.org/W2802270051","https://openalex.org/W2808154247","https://openalex.org/W2867270703","https://openalex.org/W2889564963","https://openalex.org/W2893222040","https://openalex.org/W2896249043","https://openalex.org/W2896632102","https://openalex.org/W2904764169","https://openalex.org/W2905439313","https://openalex.org/W2914278669","https://openalex.org/W2922510913","https://openalex.org/W2962706983","https://openalex.org/W2962926870","https://openalex.org/W2963194026","https://openalex.org/W2963365374","https://openalex.org/W2963403868","https://openalex.org/W2963805953","https://openalex.org/W2963842104","https://openalex.org/W2964121744","https://openalex.org/W2964130064","https://openalex.org/W2964248351","https://openalex.org/W2964265128","https://openalex.org/W2965153332","https://openalex.org/W2966350035","https://openalex.org/W2967515867","https://openalex.org/W2970485000","https://openalex.org/W2979938149","https://openalex.org/W2986093954","https://openalex.org/W2986697484","https://openalex.org/W2993325947","https://openalex.org/W3024059432","https://openalex.org/W3099206234","https://openalex.org/W3105789975","https://openalex.org/W3143107425","https://openalex.org/W4299881631","https://openalex.org/W4385245566","https://openalex.org/W6609767918","https://openalex.org/W6631190155","https://openalex.org/W6698448323","https://openalex.org/W6735531217","https://openalex.org/W6737778391","https://openalex.org/W6739901393","https://openalex.org/W6747428963","https://openalex.org/W6748197629","https://openalex.org/W6752623288"],"related_works":["https://openalex.org/W2312803472","https://openalex.org/W2578621148","https://openalex.org/W2806210280","https://openalex.org/W4388409529","https://openalex.org/W2902304614","https://openalex.org/W1480228708","https://openalex.org/W3168863246","https://openalex.org/W2177345753","https://openalex.org/W154629204","https://openalex.org/W4210248765"],"abstract_inverted_index":{"Person":[0],"attribute":[1,7],"recognition":[2],"aims":[3],"to":[4,34,56,100,110,182],"identify":[5],"the":[6,10,17,22,25,29,36,39,43,63,76,80,83,90,102,106,112,116,134,143,151,154,159,180,187,195,198,201,222,225],"labels":[8],"from":[9,16,79],"pedestrian":[11],"images.":[12],"Extracting":[13],"contextual":[14,51,77],"relation":[15,52,78,155],"images":[18,64],"and":[19,28,65,92,115,129,189,218],"attributes,":[20],"including":[21],"spatial-semantic":[23,103,165],"relations,":[24,104,166],"spatial":[26,113],"context":[27,114],"semantic":[30,117],"correlation,":[31],"is":[32,98,108,176],"beneficial":[33],"enhance":[35],"discrimination":[37],"of":[38,124,153,161,164,178,197,224],"features":[40],"for":[41,158],"recognizing":[42],"attributes.":[44],"Thus,":[45],"this":[46,167],"work":[47],"proposes":[48],"a":[49],"sequence":[50],"learning":[53],"(SCRL)":[54],"method":[55],"capture":[57],"these":[58],"relations.":[59],"It":[60,191],"first":[61],"embeds":[62],"attributes":[66],"into":[67],"sequences":[68,81],"in":[69,137,145,203],"two":[70],"branches.":[71],"Then":[72],"SCRL":[73],"flexibly":[74],"learns":[75],"with":[82],"parallel":[84,126],"attention":[85,120,127],"model":[86],"structure,":[87],"which":[88,148,175],"integrates":[89],"inter-attention":[91,96],"intra-attention":[93,107],"models.":[94],"The":[95],"module":[97],"utilized":[99],"extract":[101],"while":[105],"designed":[109],"gain":[111],"correlation.":[118],"Both":[119],"modules":[121],"are":[122],"comprised":[123],"several":[125],"units":[128],"each":[130],"unit":[131],"can":[132,149,192],"obtain":[133,142],"pairwise":[135],"relations":[136,144],"one":[138],"subspace.":[139],"Therefore,":[140],"they":[141],"multiple":[146],"subspaces,":[147],"improve":[150],"comprehensiveness":[152],"learning.":[156],"Additionally,":[157],"sake":[160],"better":[162],"extraction":[163],"paper":[168],"employs":[169],"connectionist":[170],"temporal":[171],"classification":[172],"(CTC)":[173],"loss":[174],"capable":[177],"driving":[179],"network":[181,199],"enforce":[183],"monotonic":[184],"alignment":[185],"between":[186],"image":[188],"attribute.":[190],"also":[193],"accelerate":[194],"convergence":[196],"by":[200],"algorithm":[202],"it.":[204],"Extensive":[205],"experiments":[206],"on":[207],"five":[208],"public":[209],"datasets,":[210,220],"i.e.,":[211],"Market-1501":[212],"attribute,":[213,215],"Duke":[214],"PETA,":[216],"RAP":[217],"PA-100K":[219],"demonstrate":[221],"effectiveness":[223],"proposed":[226],"method.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
