{"id":"https://openalex.org/W4378373476","doi":"https://doi.org/10.1109/tnnls.2023.3271353","title":"Deeply Coupled Convolution\u2013Transformer With Spatial\u2013Temporal Complementary Learning for Video-Based Person Re-Identification","display_name":"Deeply Coupled Convolution\u2013Transformer With Spatial\u2013Temporal Complementary Learning for Video-Based Person Re-Identification","publication_year":2023,"publication_date":"2023-05-26","ids":{"openalex":"https://openalex.org/W4378373476","doi":"https://doi.org/10.1109/tnnls.2023.3271353","pmid":"https://pubmed.ncbi.nlm.nih.gov/37235467"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3271353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3271353","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5067503448","display_name":"Xuehu Liu","orcid":"https://orcid.org/0000-0001-8633-2134"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuehu Liu","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-8633-2134","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108218845","display_name":"Chenyang Yu","orcid":"https://orcid.org/0000-0002-9813-3164"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Yu","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-9813-3164","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451855","display_name":"Pingping Zhang","orcid":"https://orcid.org/0000-0003-1206-1444"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pingping Zhang","raw_affiliation_strings":["School of Artificial Intelligence, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-1206-1444","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006986293","display_name":"Huchuan Lu","orcid":"https://orcid.org/0000-0002-6668-9758"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huchuan Lu","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-6668-9758","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":5.5308,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.97126398,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"35","issue":"10","first_page":"13753","last_page":"13763"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9973999857902527,"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":0.9955999851226807,"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":0.6352683901786804},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6250284910202026},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5486279129981995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46347886323928833},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.46226418018341064},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3558890223503113},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34012508392333984},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13457903265953064},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08900988101959229},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.0889180600643158},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.06361573934555054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6352683901786804},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6250284910202026},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5486279129981995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46347886323928833},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.46226418018341064},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3558890223503113},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34012508392333984},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13457903265953064},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08900988101959229},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0889180600643158},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.06361573934555054},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3271353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3271353","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37235467","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37235467","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1276140022","display_name":null,"funder_award_id":"62293542","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3432415074","display_name":null,"funder_award_id":"DUT22ZD210","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6247817811","display_name":null,"funder_award_id":"U1903215","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7611614075","display_name":null,"funder_award_id":"62101092","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8273014382","display_name":null,"funder_award_id":"2018AAA0102001","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W760855798","https://openalex.org/W1596233070","https://openalex.org/W1690739335","https://openalex.org/W1821462560","https://openalex.org/W1965555277","https://openalex.org/W1971955426","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2467139031","https://openalex.org/W2520433280","https://openalex.org/W2531440880","https://openalex.org/W2585635281","https://openalex.org/W2620998106","https://openalex.org/W2622829582","https://openalex.org/W2788988323","https://openalex.org/W2798329462","https://openalex.org/W2799185441","https://openalex.org/W2832876791","https://openalex.org/W2900348361","https://openalex.org/W2948383821","https://openalex.org/W2959022568","https://openalex.org/W2962858109","https://openalex.org/W2963140444","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2963574614","https://openalex.org/W2963736028","https://openalex.org/W2963762690","https://openalex.org/W2963960612","https://openalex.org/W2964261250","https://openalex.org/W2982242214","https://openalex.org/W2986451890","https://openalex.org/W2987861506","https://openalex.org/W2995852213","https://openalex.org/W2997243220","https://openalex.org/W2997677148","https://openalex.org/W2997738728","https://openalex.org/W3021892279","https://openalex.org/W3025665229","https://openalex.org/W3033740891","https://openalex.org/W3034417718","https://openalex.org/W3035252826","https://openalex.org/W3035486808","https://openalex.org/W3047363187","https://openalex.org/W3095422700","https://openalex.org/W3096609285","https://openalex.org/W3096748692","https://openalex.org/W3099899804","https://openalex.org/W3106853541","https://openalex.org/W3107901913","https://openalex.org/W3137278571","https://openalex.org/W3138516171","https://openalex.org/W3139508020","https://openalex.org/W3141972123","https://openalex.org/W3150226983","https://openalex.org/W3157802068","https://openalex.org/W3160694286","https://openalex.org/W3168915470","https://openalex.org/W3170294077","https://openalex.org/W3171516518","https://openalex.org/W3174381846","https://openalex.org/W3180143550","https://openalex.org/W3183523885","https://openalex.org/W3195939161","https://openalex.org/W3204060250","https://openalex.org/W3205959870","https://openalex.org/W3214910576","https://openalex.org/W4200343840","https://openalex.org/W4214736485","https://openalex.org/W4224242030","https://openalex.org/W4231095098","https://openalex.org/W4312372290","https://openalex.org/W6637551013","https://openalex.org/W6728374919","https://openalex.org/W6766507936","https://openalex.org/W6771395016","https://openalex.org/W6788135285","https://openalex.org/W6792496768","https://openalex.org/W6793592898","https://openalex.org/W6797790494"],"related_works":["https://openalex.org/W2898732673","https://openalex.org/W2410053581","https://openalex.org/W2383658677","https://openalex.org/W3123203398","https://openalex.org/W4387838477","https://openalex.org/W1972473893","https://openalex.org/W2466435674","https://openalex.org/W2765200542","https://openalex.org/W2067193074","https://openalex.org/W2182785089"],"abstract_inverted_index":{"Advanced":[0],"deep":[1],"convolutional":[2],"neural":[3],"networks":[4,172],"(CNNs)":[5],"have":[6],"shown":[7],"great":[8],"success":[9],"in":[10,92],"video-based":[11,70],"person":[12,71],"re-identification":[13],"(Re-ID).":[14],"However,":[15],"they":[16],"usually":[17],"focus":[18],"on":[19,199],"the":[20,38,53,105,128,148,166],"most":[21,213],"obvious":[22],"regions":[23],"of":[24,83,104,184],"persons":[25],"with":[26,41],"a":[27,57,96,118,136,160],"limited":[28],"global":[29,42],"representation":[30],"ability.":[31],"Recently,":[32],"it":[33],"witnesses":[34],"that":[35,205],"Transformers":[36,78],"explore":[37],"interpatch":[39],"relationships":[40],"observations":[43],"for":[44,68,112,153,173,193],"performance":[45],"improvements.":[46],"In":[47,116,179],"this":[48,180],"work,":[49],"we":[50,74,94,158],"take":[51,102],"both":[52],"sides":[54],"and":[55,77,86,108,131,150,176],"propose":[56,95],"novel":[58],"spatial-temporal":[59,168],"complementary":[60,97,114,155],"learning":[61],"framework":[62,207],"named":[63],"deeply":[64],"coupled":[65,106],"convolution-transformer":[66],"(DCCT)":[67],"high-performance":[69],"Re-ID.":[72],"First,":[73],"couple":[75],"CNNs":[76],"to":[79,101,125,142,164,170],"extract":[80],"two":[81,182],"kinds":[82,183],"visual":[84],"features":[85,111,186],"experimentally":[87],"verify":[88],"their":[89],"complementarity.":[90],"Furthermore,":[91],"spatial,":[93],"content":[98],"attention":[99,138],"(CCA)":[100],"advantages":[103],"structure":[107],"guide":[109],"independent":[110],"spatial":[113],"learning.":[115,156],"temporal,":[117],"hierarchical":[119],"temporal":[120,133,145,154],"aggregation":[121],"(HTA)":[122],"is":[123,140],"proposed":[124],"progressively":[126],"capture":[127],"interframe":[129],"dependencies":[130],"encode":[132],"information.":[134],"Besides,":[135],"gated":[137],"(GA)":[139],"used":[141],"deliver":[143],"aggregated":[144],"information":[146],"into":[147],"CNN":[149],"Transformer":[151],"branches":[152],"Finally,":[157],"introduce":[159],"self-distillation":[161],"training":[162],"strategy":[163],"transfer":[165],"superior":[167],"knowledge":[169],"backbone":[171],"higher":[174],"accuracy":[175],"more":[177,194],"efficiency.":[178],"way,":[181],"typical":[185],"from":[187],"same":[188],"videos":[189],"are":[190],"integrated":[191],"mechanically":[192],"informative":[195],"representations.":[196],"Extensive":[197],"experiments":[198],"four":[200],"public":[201],"Re-ID":[202],"benchmarks":[203],"demonstrate":[204],"our":[206],"could":[208],"attain":[209],"better":[210],"performances":[211],"than":[212],"state-of-the-art":[214],"methods.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":28},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}