{"id":"https://openalex.org/W4214891830","doi":"https://doi.org/10.1109/tip.2022.3141868","title":"Structure-Aware Positional Transformer for Visible-Infrared Person Re-Identification","display_name":"Structure-Aware Positional Transformer for Visible-Infrared Person Re-Identification","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4214891830","doi":"https://doi.org/10.1109/tip.2022.3141868","pmid":"https://pubmed.ncbi.nlm.nih.gov/35235507"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2022.3141868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3141868","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/A5073015477","display_name":"Cuiqun Chen","orcid":"https://orcid.org/0000-0002-4133-0028"},"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":"Cuiqun Chen","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-4133-0028","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","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":["National Engineering Research Center for Multimedia Software, Hubei Key Laboratory of Multimedia and Network Communication Engineering, School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3989-7655","affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software, Hubei Key Laboratory of Multimedia and Network Communication Engineering, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073550769","display_name":"Meibin Qi","orcid":"https://orcid.org/0000-0001-9074-211X"},"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":"Meibin Qi","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-9074-211X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014956557","display_name":"Jingjing Wu","orcid":"https://orcid.org/0000-0002-3818-4277"},"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":"Jingjing Wu","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-3818-4277","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002727597","display_name":"Jianguo Jiang","orcid":"https://orcid.org/0000-0002-9349-6337"},"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":"Jianguo Jiang","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051264473","display_name":"Chia\u2010Wen Lin","orcid":"https://orcid.org/0000-0002-9097-2318"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Wen Lin","raw_affiliation_strings":["National Tsing Hua University, Hsinchu, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-9097-2318","affiliations":[{"raw_affiliation_string":"National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":21.7312,"has_fulltext":false,"cited_by_count":230,"citation_normalized_percentile":{"value":0.99732133,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"31","issue":null,"first_page":"2352","last_page":"2364"},"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":0.9951000213623047,"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":0.9941999912261963,"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":0.7833059430122375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7517940998077393},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7327557802200317},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.608643114566803},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5248656272888184},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5210379958152771},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5206974148750305},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4954890012741089},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4327232241630554},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07909947633743286}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7833059430122375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7517940998077393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7327557802200317},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.608643114566803},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5248656272888184},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5210379958152771},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5206974148750305},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4954890012741089},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4327232241630554},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07909947633743286},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000069636","descriptor_name":"Pedestrians","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069636","descriptor_name":"Pedestrians","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069636","descriptor_name":"Pedestrians","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2022.3141868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3141868","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:35235507","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35235507","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":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2619284878","display_name":null,"funder_award_id":"61876056","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6064834736","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u590d\u6742\u573a\u666f\u884c\u4eba\u518d\u8bc6\u522b\u82e5\u5e72\u5173\u952e\u95ee\u9898\u7814\u7a76","funder_award_id":"61771180","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8800375656","display_name":null,"funder_award_id":"62176188","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":67,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2335437633","https://openalex.org/W2596603442","https://openalex.org/W2777534232","https://openalex.org/W2788846526","https://openalex.org/W2795758732","https://openalex.org/W2926107957","https://openalex.org/W2954773727","https://openalex.org/W2957279468","https://openalex.org/W2962691289","https://openalex.org/W2962730651","https://openalex.org/W2963383990","https://openalex.org/W2963637710","https://openalex.org/W2963842104","https://openalex.org/W2970390221","https://openalex.org/W2971463331","https://openalex.org/W2981393440","https://openalex.org/W2982170673","https://openalex.org/W2985033611","https://openalex.org/W2996878574","https://openalex.org/W2997421053","https://openalex.org/W2997877744","https://openalex.org/W2998126692","https://openalex.org/W2998792609","https://openalex.org/W3004990178","https://openalex.org/W3008706867","https://openalex.org/W3014571942","https://openalex.org/W3023251276","https://openalex.org/W3031865458","https://openalex.org/W3033235266","https://openalex.org/W3034494316","https://openalex.org/W3034519219","https://openalex.org/W3034611771","https://openalex.org/W3034903425","https://openalex.org/W3035252826","https://openalex.org/W3035637226","https://openalex.org/W3035673257","https://openalex.org/W3042589888","https://openalex.org/W3046876707","https://openalex.org/W3049045914","https://openalex.org/W3087359593","https://openalex.org/W3092676209","https://openalex.org/W3100506510","https://openalex.org/W3106715802","https://openalex.org/W3107331169","https://openalex.org/W3112897560","https://openalex.org/W3114048060","https://openalex.org/W3118589616","https://openalex.org/W3123416309","https://openalex.org/W3125736290","https://openalex.org/W3133793254","https://openalex.org/W3134669182","https://openalex.org/W3138044975","https://openalex.org/W3164963798","https://openalex.org/W3171516518","https://openalex.org/W3176633985","https://openalex.org/W3184812167","https://openalex.org/W3189601601","https://openalex.org/W3204075450","https://openalex.org/W3210946531","https://openalex.org/W4214736485","https://openalex.org/W4308213097","https://openalex.org/W6637568146","https://openalex.org/W6739901393","https://openalex.org/W6792496768"],"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/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W1996690921"],"abstract_inverted_index":{"Visible-infrared":[0],"person":[1],"re-identification":[2],"(VI-ReID)":[3],"is":[4,179],"a":[5,51,71,138,147],"cross-modality":[6,166],"retrieval":[7],"problem,":[8],"which":[9],"aims":[10],"at":[11],"matching":[12],"the":[13,17,24,35,85,108,118,123,126,131,154,158,170,182,190,194],"same":[14],"pedestrian":[15],"between":[16,34],"visible":[18],"and":[19,30,87,100,115,134,152,161,168],"infrared":[20],"cameras.":[21],"Due":[22],"to":[23,64,77,140,181],"existence":[25],"of":[26,92,125,150],"pose":[27],"variation,":[28],"occlusion,":[29],"huge":[31],"visual":[32],"differences":[33],"two":[36,93,186],"modalities,":[37],"previous":[38],"studies":[39],"mainly":[40],"focus":[41],"on":[42,185,193],"learning":[43],"image-level":[44],"shared":[45],"features.":[46,145],"Since":[47],"they":[48],"usually":[49],"learn":[50,78,141],"global":[52],"representation":[53,98],"or":[54],"extract":[55],"uniformly":[56],"divided":[57],"part":[58,102],"features,":[59],"these":[60],"methods":[61,184],"are":[62],"sensitive":[63],"misalignments.":[65,173],"In":[66],"this":[67],"paper,":[68],"we":[69],"propose":[70],"structure-aware":[72],"positional":[73,88],"transformer":[74,139],"(SPOT)":[75],"network":[76],"semantic-aware":[79],"sharable":[80],"modality":[81,114,144],"features":[82],"by":[83,199],"utilizing":[84],"structural":[86,162],"information.":[89,128],"It":[90],"consists":[91],"main":[94],"components:":[95],"attended":[96],"structure":[97,110,127],"(ASR)":[99],"transformer-based":[101],"interaction":[103],"(TPI).":[104],"Specifically,":[105],"ASR":[106,151],"models":[107],"modality-invariant":[109],"feature":[111],"for":[112],"each":[113],"dynamically":[116],"selects":[117],"discriminative":[119,142],"appearance":[120,133],"regions":[121],"under":[122],"guidance":[124],"TPI":[129],"mines":[130],"part-level":[132,143],"position":[135],"relations":[136],"with":[137],"With":[146],"weighted":[148],"combination":[149],"TPI,":[153],"proposed":[155],"SPOT":[156,178],"explores":[157],"rich":[159],"contextual":[160],"information,":[163],"effectively":[164],"reducing":[165],"difference":[167],"enhancing":[169],"robustness":[171],"against":[172],"Extensive":[174],"experiments":[175],"indicate":[176],"that":[177],"superior":[180],"state-of-the-art":[183],"cross-modal":[187],"datasets.":[188],"Notably,":[189],"Rank-1/mAP":[191],"value":[192],"SYSU-MM01":[195],"dataset":[196],"has":[197],"improved":[198],"8.43%/6.80%.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":70},{"year":2024,"cited_by_count":72},{"year":2023,"cited_by_count":55},{"year":2022,"cited_by_count":17}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2025-10-10T00:00:00"}
