{"id":"https://openalex.org/W3202867260","doi":"https://doi.org/10.1109/tmm.2021.3114539","title":"Deep Shape-Aware Person Re-Identification for Overcoming Moderate Clothing Changes","display_name":"Deep Shape-Aware Person Re-Identification for Overcoming Moderate Clothing Changes","publication_year":2021,"publication_date":"2021-09-29","ids":{"openalex":"https://openalex.org/W3202867260","doi":"https://doi.org/10.1109/tmm.2021.3114539","mag":"3202867260"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3114539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3114539","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5100685936","display_name":"Jiaxing Chen","orcid":"https://orcid.org/0000-0003-4152-4524"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxing Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4152-4524","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108050904","display_name":"Wei\u2010Shi Zheng","orcid":"https://orcid.org/0000-0001-8327-0003"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Shi Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8327-0003","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038504160","display_name":"Qize Yang","orcid":"https://orcid.org/0000-0002-8884-7665"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qize Yang","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8884-7665","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050041533","display_name":"Jingke Meng","orcid":"https://orcid.org/0000-0001-5437-3070"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingke Meng Meng","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051332325","display_name":"Richang Hong","orcid":"https://orcid.org/0000-0001-5461-3986"},"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":"Richang Hong","raw_affiliation_strings":["School of Computer and Informatics, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-5461-3986","affiliations":[{"raw_affiliation_string":"School of Computer and Informatics, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100393506","display_name":"Qi Tian","orcid":"https://orcid.org/0000-0002-7252-5047"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Tian","raw_affiliation_strings":["Cloud &amp; AI BU, Huawei, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-7252-5047","affiliations":[{"raw_affiliation_string":"Cloud &amp; AI BU, Huawei, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3528,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.89777835,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"24","issue":null,"first_page":"4285","last_page":"4300"},"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/T11448","display_name":"Face recognition and analysis","score":0.9962000250816345,"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":0.9894000291824341,"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":0.8053736686706543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7228702902793884},{"id":"https://openalex.org/keywords/clothing","display_name":"Clothing","score":0.5495638847351074},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5029568076133728},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4952823221683502},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.47484806180000305},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47441384196281433},{"id":"https://openalex.org/keywords/morphing","display_name":"Morphing","score":0.4725094735622406},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46744784712791443},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.46506503224372864},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44495052099227905},{"id":"https://openalex.org/keywords/shape-context","display_name":"Shape context","score":0.4371323585510254},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41950559616088867},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16078445315361023},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.12254256010055542},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11186710000038147}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8053736686706543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7228702902793884},{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.5495638847351074},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5029568076133728},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4952823221683502},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.47484806180000305},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47441384196281433},{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.4725094735622406},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46744784712791443},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.46506503224372864},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44495052099227905},{"id":"https://openalex.org/C2779662243","wikidata":"https://www.wikidata.org/wiki/Q970395","display_name":"Shape context","level":3,"score":0.4371323585510254},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41950559616088867},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16078445315361023},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.12254256010055542},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11186710000038147},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"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/tmm.2021.3114539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3114539","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1702828313","display_name":null,"funder_award_id":"U21A20471","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3167315294","display_name":null,"funder_award_id":"U1911401","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5372072380","display_name":null,"funder_award_id":"U1811461","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":79,"referenced_works":["https://openalex.org/W138224622","https://openalex.org/W1677182931","https://openalex.org/W1949591461","https://openalex.org/W2039051707","https://openalex.org/W2057175746","https://openalex.org/W2068042582","https://openalex.org/W2089074647","https://openalex.org/W2096289959","https://openalex.org/W2103505962","https://openalex.org/W2108384452","https://openalex.org/W2108598243","https://openalex.org/W2120419212","https://openalex.org/W2122925692","https://openalex.org/W2139763424","https://openalex.org/W2161969291","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2344924411","https://openalex.org/W2361187101","https://openalex.org/W2433217581","https://openalex.org/W2472272718","https://openalex.org/W2585635281","https://openalex.org/W2590973145","https://openalex.org/W2598634450","https://openalex.org/W2619569710","https://openalex.org/W2620998106","https://openalex.org/W2764024122","https://openalex.org/W2795758732","https://openalex.org/W2892765912","https://openalex.org/W2908555969","https://openalex.org/W2912301747","https://openalex.org/W2931882224","https://openalex.org/W2944108536","https://openalex.org/W2954765307","https://openalex.org/W2962691289","https://openalex.org/W2962926870","https://openalex.org/W2963017945","https://openalex.org/W2963047834","https://openalex.org/W2963049565","https://openalex.org/W2963150697","https://openalex.org/W2963180826","https://openalex.org/W2963842104","https://openalex.org/W2966445777","https://openalex.org/W2968374502","https://openalex.org/W2970390221","https://openalex.org/W2979938149","https://openalex.org/W2980791334","https://openalex.org/W2981396627","https://openalex.org/W2981420411","https://openalex.org/W2984145721","https://openalex.org/W2988964414","https://openalex.org/W2994675267","https://openalex.org/W2996695408","https://openalex.org/W2998522188","https://openalex.org/W2998792609","https://openalex.org/W3034249268","https://openalex.org/W3035216422","https://openalex.org/W3035252826","https://openalex.org/W3035275216","https://openalex.org/W3035539956","https://openalex.org/W3035569526","https://openalex.org/W3035673257","https://openalex.org/W3100260313","https://openalex.org/W3100506510","https://openalex.org/W3100507239","https://openalex.org/W3102668440","https://openalex.org/W3105077954","https://openalex.org/W3112897560","https://openalex.org/W3119699484","https://openalex.org/W3125736290","https://openalex.org/W4241071816","https://openalex.org/W4294558607","https://openalex.org/W6717434760","https://openalex.org/W6726873649","https://openalex.org/W6735531217","https://openalex.org/W6738964360","https://openalex.org/W6747620207","https://openalex.org/W6752051073","https://openalex.org/W6754278344"],"related_works":["https://openalex.org/W2143519535","https://openalex.org/W2736624805","https://openalex.org/W1507251460","https://openalex.org/W1594334724","https://openalex.org/W4298088254","https://openalex.org/W2351858930","https://openalex.org/W2289821865","https://openalex.org/W2138462850","https://openalex.org/W2056982008","https://openalex.org/W2084280110"],"abstract_inverted_index":{"Although":[0],"person":[1,45],"re-identification":[2],"(person":[3],"re-id)":[4],"has":[5],"advanced":[6],"substantially":[7],"in":[8,30,133,145],"recent":[9],"years,":[10],"most":[11],"methods":[12],"are":[13,140],"based":[14],"on":[15,188],"the":[16,19,52,136,158,194],"assumption":[17,26],"that":[18],"identities":[20],"would":[21],"not":[22,28],"change":[23,36],"clothes.":[24,37],"This":[25],"might":[27],"hold":[29],"practice":[31],"considering":[32],"criminals":[33],"who":[34],"intentionally":[35],"In":[38],"this":[39,134],"work,":[40],"we":[41,66,93,169],"attempt":[42],"to":[43,68,120,142],"solve":[44],"re-id":[46],"under":[47,62,190],"moderate":[48,63],"clothing":[49,64,191],"change.":[50],"Since":[51],"human":[53,160],"body":[54,161],"shape":[55,88,130,162],"is":[56],"considered":[57],"as":[58,98,174],"relatively":[59],"more":[60,102],"invariant":[61],"changes,":[65],"propose":[67,111],"learn":[69],"a":[70,112],"reliable":[71],"shape-aware":[72,104,144,198],"feature":[73,96,105,199],"representation":[74],"by":[75],"mutually":[76],"learning":[77,97,200],"both":[78,148],"colorful":[79,108,125],"images":[80],"and":[81,100,115,128,132,152,163],"contour":[82,91,95,116,129,166],"images.":[83,109],"Instead":[84],"of":[85,147,196],"directly":[86],"extracting":[87],"features":[89,127,139],"from":[90,107],"images,":[92],"utilize":[94],"regularization":[99],"excavate":[101],"effective":[103],"representations":[106],"We":[110],"multi-scale":[113],"appearance":[114,126,138],"deep":[117],"infomax":[118],"(MAC-DIM)":[119],"maximize":[121],"mutual":[122],"information":[123],"between":[124],"features,":[131],"way,":[135],"extracted":[137],"constrained":[141],"be":[143],"terms":[146],"low-level":[149],"visual":[150],"properties":[151],"high-level":[153],"semantics.":[154],"To":[155],"better":[156],"model":[157],"long-range":[159],"explicitly":[164],"capture":[165],"segment":[167],"relations,":[168],"introduce":[170],"hierarchical":[171],"graph":[172,181],"modeling":[173],"aggregation":[175],"headers,":[176],"propagating":[177],"structural":[178],"context":[179],"through":[180],"convolutional":[182],"networks":[183],"(GCNs).":[184],"The":[185],"extensive":[186],"results":[187],"benchmarks":[189],"changes":[192],"demonstrate":[193],"effectiveness":[195],"our":[197],"scheme.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-26T07:53:14.480251","created_date":"2025-10-10T00:00:00"}
