{"id":"https://openalex.org/W4385210901","doi":"https://doi.org/10.1109/tip.2023.3296901","title":"Frequency Information Disentanglement Network for Video-Based Person Re-Identification","display_name":"Frequency Information Disentanglement Network for Video-Based Person Re-Identification","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385210901","doi":"https://doi.org/10.1109/tip.2023.3296901","pmid":"https://pubmed.ncbi.nlm.nih.gov/37486833"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2023.3296901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3296901","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5034601380","display_name":"Liangchen Liu","orcid":"https://orcid.org/0009-0006-1640-8483"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liangchen Liu","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011324535","display_name":"Xi Yang","orcid":"https://orcid.org/0000-0002-5791-3674"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Yang","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042507268","display_name":"Nannan Wang","orcid":"https://orcid.org/0000-0002-4695-6134"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nannan Wang","raw_affiliation_strings":["State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101785348","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0003-1443-0776"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5034601380"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":2.5951,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.91590716,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"32","issue":null,"first_page":"4287","last_page":"4298"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9980000257492065,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.819614052772522},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7327498197555542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6400995254516602},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5999823808670044},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.59088134765625},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5749199390411377},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5482438802719116},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5106719136238098},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4468480348587036},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2630549669265747}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.819614052772522},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7327498197555542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6400995254516602},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5999823808670044},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.59088134765625},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5749199390411377},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5482438802719116},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5106719136238098},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4468480348587036},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2630549669265747},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2023.3296901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3296901","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:37486833","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37486833","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2022121445","display_name":null,"funder_award_id":"U21A20514","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2265678964","display_name":null,"funder_award_id":"QTZX23057","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4297946667","display_name":null,"funder_award_id":"U22A2096","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6854205714","display_name":null,"funder_award_id":"61976166","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6931791183","display_name":null,"funder_award_id":"YJSJ23012","funder_id":"https://openalex.org/F4320323230","funder_display_name":"Xidian University"},{"id":"https://openalex.org/G8946150788","display_name":null,"funder_award_id":"62176195","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G913836228","display_name":null,"funder_award_id":"62036007","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/F4320323230","display_name":"Xidian University","ror":"https://ror.org/05s92vm98"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":99,"referenced_works":["https://openalex.org/W760855798","https://openalex.org/W2031614119","https://openalex.org/W2108598243","https://openalex.org/W2156303437","https://openalex.org/W2194775991","https://openalex.org/W2463071499","https://openalex.org/W2519803806","https://openalex.org/W2520433280","https://openalex.org/W2585006962","https://openalex.org/W2598634450","https://openalex.org/W2619947201","https://openalex.org/W2622829582","https://openalex.org/W2779003141","https://openalex.org/W2795758732","https://openalex.org/W2799185441","https://openalex.org/W2800289127","https://openalex.org/W2883411722","https://openalex.org/W2900348361","https://openalex.org/W2906502833","https://openalex.org/W2912152775","https://openalex.org/W2921547827","https://openalex.org/W2959022568","https://openalex.org/W2962898677","https://openalex.org/W2963588253","https://openalex.org/W2963736028","https://openalex.org/W2963762690","https://openalex.org/W2963842104","https://openalex.org/W2963901085","https://openalex.org/W2963960612","https://openalex.org/W2964261250","https://openalex.org/W2967515867","https://openalex.org/W2971612271","https://openalex.org/W2982119297","https://openalex.org/W2986451890","https://openalex.org/W2987748894","https://openalex.org/W2996437318","https://openalex.org/W2998508940","https://openalex.org/W3005825439","https://openalex.org/W3007623567","https://openalex.org/W3015477815","https://openalex.org/W3033235266","https://openalex.org/W3034417718","https://openalex.org/W3034771037","https://openalex.org/W3035252826","https://openalex.org/W3035486808","https://openalex.org/W3035537506","https://openalex.org/W3035673257","https://openalex.org/W3036967712","https://openalex.org/W3047363187","https://openalex.org/W3084178904","https://openalex.org/W3096748692","https://openalex.org/W3099452143","https://openalex.org/W3100506510","https://openalex.org/W3106853541","https://openalex.org/W3107848599","https://openalex.org/W3107901913","https://openalex.org/W3118405827","https://openalex.org/W3134669182","https://openalex.org/W3141972123","https://openalex.org/W3150226983","https://openalex.org/W3157802068","https://openalex.org/W3168915470","https://openalex.org/W3170294077","https://openalex.org/W3174851543","https://openalex.org/W3177699492","https://openalex.org/W3180143550","https://openalex.org/W3185502927","https://openalex.org/W3195939161","https://openalex.org/W3202750592","https://openalex.org/W3202788649","https://openalex.org/W3204060250","https://openalex.org/W3205084906","https://openalex.org/W3212622989","https://openalex.org/W3217577904","https://openalex.org/W4200316912","https://openalex.org/W4200343840","https://openalex.org/W4214666412","https://openalex.org/W4231095098","https://openalex.org/W4285114530","https://openalex.org/W4294068925","https://openalex.org/W4305013690","https://openalex.org/W4310016302","https://openalex.org/W4312622050","https://openalex.org/W4313128368","https://openalex.org/W4319663732","https://openalex.org/W4361984785","https://openalex.org/W4385245566","https://openalex.org/W6681583683","https://openalex.org/W6682864246","https://openalex.org/W6735531217","https://openalex.org/W6739901393","https://openalex.org/W6747428963","https://openalex.org/W6750984223","https://openalex.org/W6752868093","https://openalex.org/W6771627204","https://openalex.org/W6779836534","https://openalex.org/W6792496768","https://openalex.org/W6793592898","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W2116862786","https://openalex.org/W1996690921"],"abstract_inverted_index":{"Recently,":[0],"most":[1],"video-based":[2],"person":[3],"re-identification":[4],"(Re-ID)":[5],"methods":[6],"adopt":[7],"complex":[8,89,105],"model":[9],"or":[10],"multi-scaled":[11],"information":[12,76],"to":[13,48,97],"explore":[14],"more":[15],"discriminative":[16,184],"spatio-temporal":[17,90,144,174],"clues,":[18,104],"thus":[19],"achieving":[20],"better":[21],"retrieval":[22],"accuracy.":[23],"However,":[24],"we":[25,86,136],"witness":[26],"that":[27,190],"these":[28],"approaches":[29],"involve":[30],"significant":[31],"higher":[32],"computation":[33],"costs":[34],"but":[35],"only":[36,196],"improve":[37],"limited":[38],"performances.":[39],"Therefore,":[40],"the":[41,53,61,88,131,139,193],"overarching":[42],"goal":[43],"at":[44],"this":[45,113,150],"stage":[46],"is":[47],"solve":[49],"video":[50,121,163,185],"Re-ID":[51],"on":[52],"trade-off":[54],"between":[55,143],"accuracy":[56],"and":[57,77,94,125,146,155,167,171,183],"efficiency,":[58],"thereby":[59],"boosting":[60],"application":[62],"in":[63,80],"real":[64],"scenarios.":[65],"Frequency":[66,157],"transform":[67,140],"provides":[68],"advantages":[69],"of":[70,74,133],"simplified":[71],"representation,":[72],"identification":[73],"hidden":[75],"noise":[78],"filtering":[79],"signal":[81,93],"processing.":[82],"Motivated":[83],"by":[84,119],"this,":[85],"treat":[87],"feature":[91,106],"as":[92],"convert":[95],"it":[96],"frequency":[98,103,127,147,173],"domain.":[99,148],"By":[100,165],"directly":[101],"analyzing":[102],"extraction":[107],"procedures":[108],"can":[109],"be":[110],"avoided.":[111],"Specifically,":[112],"paper":[114,151],"proposes":[115,152],"a":[116,153,177],"novel":[117],"paradigm":[118],"categorizing":[120],"features":[122,175],"into":[123],"low/high":[124],"spatial/temporal":[126],"information.":[128],"Then,":[129],"with":[130,195],"help":[132],"3D":[134],"DCT,":[135],"theoretically":[137],"establish":[138],"equivalence":[141],"relationship":[142],"domain":[145],"Finally,":[149],"simple":[154],"intuitive":[156],"Information":[158],"Disentanglement":[159],"Network":[160],"(FIDN)":[161],"for":[162],"Re-ID.":[164],"extracting":[166],"applying":[168],"both":[169],"low":[170],"high":[172],"from":[176],"disentangling":[178],"way,":[179],"FIDN":[180,191],"achieves":[181],"comprehensive":[182],"representation.":[186],"Extensive":[187],"experiments":[188],"indicate":[189],"reaches":[192],"state-of-the-arts":[194],"one":[197],"convolution":[198],"layer":[199],"addition":[200],"against":[201],"baseline.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-05T09:29:38.588285","created_date":"2025-10-10T00:00:00"}
