{"id":"https://openalex.org/W3094671726","doi":"https://doi.org/10.1145/3393527.3393560","title":"Person Re-identification Based on Pose-guided Generative Adversarial Network","display_name":"Person Re-identification Based on Pose-guided Generative Adversarial Network","publication_year":2020,"publication_date":"2020-05-22","ids":{"openalex":"https://openalex.org/W3094671726","doi":"https://doi.org/10.1145/3393527.3393560","mag":"3094671726"},"language":"en","primary_location":{"id":"doi:10.1145/3393527.3393560","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3393527.3393560","pdf_url":null,"source":{"id":"https://openalex.org/S4306523950","display_name":"Proceedings of the ACM Turing Celebration Conference - China","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":"Proceedings of the ACM Turing Celebration Conference - China","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/A5100682152","display_name":"Guang Han","orcid":"https://orcid.org/0000-0001-9355-7374"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guang Han","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041105948","display_name":"Chao Yang","orcid":"https://orcid.org/0000-0003-0917-5256"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Yang","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081669641","display_name":"Jixin Liu","orcid":"https://orcid.org/0000-0001-8414-4199"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jixin Liu","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041345011","display_name":"Ning Sun","orcid":"https://orcid.org/0000-0002-6907-3756"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Sun","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100358297","display_name":"Xiaofei Li","orcid":"https://orcid.org/0000-0002-3346-3744"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofei Li","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100682152"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.1635,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49291598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"191","last_page":"195"},"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":0.9987000226974487,"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":0.9961000084877014,"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/computer-science","display_name":"Computer science","score":0.8455283641815186},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7396964430809021},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.707618236541748},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7006484270095825},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.692115068435669},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6723171472549438},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6221091747283936},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5817816257476807},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49262863397598267},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.4561738967895508},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4535568058490753},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4512554407119751},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43625542521476746},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4237609803676605},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40948596596717834},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1533835232257843},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05628722906112671}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8455283641815186},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7396964430809021},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.707618236541748},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7006484270095825},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.692115068435669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6723171472549438},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6221091747283936},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5817816257476807},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49262863397598267},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4561738967895508},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4535568058490753},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4512554407119751},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43625542521476746},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4237609803676605},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40948596596717834},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1533835232257843},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05628722906112671},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3393527.3393560","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3393527.3393560","pdf_url":null,"source":{"id":"https://openalex.org/S4306523950","display_name":"Proceedings of the ACM Turing Celebration Conference - China","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":"Proceedings of the ACM Turing Celebration Conference - China","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1979931042","https://openalex.org/W1982925187","https://openalex.org/W2108598243","https://openalex.org/W2173520492","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2209877316","https://openalex.org/W2242818826","https://openalex.org/W2434741482","https://openalex.org/W2499468060","https://openalex.org/W2511791013","https://openalex.org/W2552465644","https://openalex.org/W2559085405","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2736410039","https://openalex.org/W2782217382","https://openalex.org/W2914372050","https://openalex.org/W2962926870","https://openalex.org/W2963047834","https://openalex.org/W2963073614","https://openalex.org/W2963226019","https://openalex.org/W2963322158","https://openalex.org/W2963330186","https://openalex.org/W2963373786","https://openalex.org/W2963575739","https://openalex.org/W2963910742","https://openalex.org/W6676297131","https://openalex.org/W6687483927","https://openalex.org/W6687888618","https://openalex.org/W6718379498","https://openalex.org/W6724291978"],"related_works":["https://openalex.org/W2950785639","https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4385421777","https://openalex.org/W3178813832","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2971552217","https://openalex.org/W3005996785","https://openalex.org/W4297411772"],"abstract_inverted_index":{"Person":[0],"re-identification":[1],"(re-id)":[2],"is":[3,34,87,102],"a":[4,63,69,90,103],"challenging":[5],"and":[6,82,96,113],"valuable":[7],"research":[8],"topic":[9],"in":[10,26],"the":[11,23,37,42,52,60,126],"field":[12],"of":[13,32,36,54,89,125],"computer":[14],"vision.":[15],"It":[16],"needs":[17],"to":[18,44,50,79,132],"match":[19],"person":[20,58,64],"images":[21],"with":[22,106,129],"same":[24,130],"identity":[25,114,131],"multiple":[27,110],"camera":[28],"systems.":[29],"The":[30,85,135],"change":[31],"pose":[33,55,111,120],"one":[35],"key":[38],"factors":[39],"that":[40],"affect":[41],"network":[43,73,94],"extract":[45],"robust":[46],"features.":[47,84],"In":[48],"order":[49],"mitigate":[51],"influence":[53],"variations":[56],"on":[57,68,142],"re-id,":[59],"paper":[61],"proposes":[62],"re-id":[65],"method":[66,137],"based":[67],"pose-guided":[70],"generative":[71,97],"adversarial":[72,98],"(PG-GAN),":[74],"which":[75,122],"can":[76],"be":[77,133],"used":[78],"learn":[80],"identity-sensitive":[81],"pose-insensitive":[83],"algorithm":[86],"composed":[88],"Siamese":[91],"convolutional":[92],"neural":[93],"(SCNN)":[95],"networks":[99],"(GANs).":[100],"SCNN":[101],"symmetric":[104],"structure":[105],"ResNet-50.":[107],"GANs":[108],"contain":[109],"discriminators":[112],"discriminators,":[115],"as":[116,118],"well":[117,140],"incorporate":[119],"loss,":[121],"requires":[123],"appearance":[124],"generated":[127],"image":[128],"similar.":[134],"proposed":[136],"has":[138],"been":[139],"performed":[141],"pedestrian":[143],"reidentification":[144],"datasets.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}