{"id":"https://openalex.org/W4372263747","doi":"https://doi.org/10.1109/icassp49357.2023.10097170","title":"Top-K Visual Tokens Transformer: Selecting Tokens for Visible-Infrared Person Re-Identification","display_name":"Top-K Visual Tokens Transformer: Selecting Tokens for Visible-Infrared Person Re-Identification","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372263747","doi":"https://doi.org/10.1109/icassp49357.2023.10097170"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10097170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10097170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100778644","display_name":"Bin Yang","orcid":"https://orcid.org/0000-0003-0329-9346"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Yang","raw_affiliation_strings":["Wuhan University,School of Computer Science","School of Computer Science, Wuhan University"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100450249","display_name":"Jun Chen","orcid":"https://orcid.org/0000-0003-1376-0167"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Chen","raw_affiliation_strings":["Wuhan University,School of Computer Science","School of Computer Science, Wuhan University"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008999954","display_name":"Mang Ye","orcid":"https://orcid.org/0000-0003-3989-7655"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mang Ye","raw_affiliation_strings":["Wuhan University,School of Computer Science","School of Computer Science, Wuhan University"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100778644"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":3.1976,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.93566003,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9948999881744385,"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":0.994700014591217,"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/discriminative-model","display_name":"Discriminative model","score":0.8314707279205322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8088526725769043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.630881667137146},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6021413207054138},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.566561222076416},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.545823872089386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5006425380706787},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.48963505029678345},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4299372136592865},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3491206765174866},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33839818835258484}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8314707279205322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8088526725769043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.630881667137146},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6021413207054138},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.566561222076416},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.545823872089386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5006425380706787},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.48963505029678345},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4299372136592865},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3491206765174866},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33839818835258484},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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:10.1109/icassp49357.2023.10097170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10097170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320330944","display_name":"Nature","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2596603442","https://openalex.org/W2777534232","https://openalex.org/W2954773727","https://openalex.org/W2997877744","https://openalex.org/W2998792609","https://openalex.org/W3034303554","https://openalex.org/W3034519219","https://openalex.org/W3035673257","https://openalex.org/W3092676209","https://openalex.org/W3093051557","https://openalex.org/W3094502228","https://openalex.org/W3107848599","https://openalex.org/W3139434170","https://openalex.org/W3173203577","https://openalex.org/W3207070197","https://openalex.org/W3207576380","https://openalex.org/W4206289265","https://openalex.org/W4312700302","https://openalex.org/W6771967508","https://openalex.org/W6781077750","https://openalex.org/W6784333009","https://openalex.org/W6792309431","https://openalex.org/W6802773685"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2521627374","https://openalex.org/W4304700937"],"abstract_inverted_index":{"Visible":[0],"modality":[1,4,22],"and":[2,12,83,103,112],"infrared":[3],"person":[5],"re-identification":[6],"(VI-ReID)":[7],"is":[8,92],"an":[9],"extremely":[10],"important":[11],"challenging":[13],"task.":[14],"Existing":[15],"works":[16],"mainly":[17],"focus":[18],"on":[19,110],"reducing":[20,77],"the":[21,30,43,78,96,116],"gap":[23],"with":[24],"Convolutional":[25],"Neural":[26],"Networks":[27],"(CNN).":[28],"However,":[29],"features":[31],"extracted":[32],"by":[33],"CNN":[34],"may":[35],"contain":[36],"useless":[37],"identity-irrelevant":[38,81],"information,":[39],"which":[40,61],"inevitably":[41],"reduces":[42],"discrimination":[44],"of":[45,80,118],"features.":[46,86],"To":[47],"address":[48],"this":[49,51],"issue,":[50],"paper":[52],"introduces":[53],"a":[54,63,88],"Top-K":[55],"Visual":[56],"Tokens":[57],"Transformer":[58],"(TVTR)":[59],"framework":[60],"utilizes":[62],"top-k":[64,72],"visual":[65,74],"tokens":[66],"selection":[67],"module":[68],"to":[69,94],"accurately":[70],"select":[71],"discriminative":[73,85],"patches":[75],"for":[76,98],"distraction":[79],"information":[82],"learning":[84],"Furthermore,":[87],"global-local":[89],"circle":[90],"loss":[91],"developed":[93],"optimize":[95],"TVTR":[97],"achieving":[99],"cross-modality":[100],"positive":[101],"concentration":[102],"negative":[104],"separation":[105],"properties.":[106],"The":[107,121],"experimental":[108],"results":[109],"SYSU-MM01":[111],"RegDB":[113],"datasets":[114],"demonstrate":[115],"superiority":[117],"our":[119],"method.":[120],"source":[122],"code":[123],"will":[124],"be":[125],"released.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
