{"id":"https://openalex.org/W4401079043","doi":"https://doi.org/10.1145/3682066","title":"Intermediary-Generated Bridge Network for RGB-D Cross-Modal Re-Identification","display_name":"Intermediary-Generated Bridge Network for RGB-D Cross-Modal Re-Identification","publication_year":2024,"publication_date":"2024-07-29","ids":{"openalex":"https://openalex.org/W4401079043","doi":"https://doi.org/10.1145/3682066"},"language":"en","primary_location":{"id":"doi:10.1145/3682066","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3682066","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3682066","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3682066","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","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":true,"raw_author_name":"Jingjing Wu","raw_affiliation_strings":["School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"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/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":["Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Hefei, China and Ministry of Education, School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Hefei, China and Ministry of Education, 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/A5076104260","display_name":"Shengeng Tang","orcid":"https://orcid.org/0000-0001-6313-2543"},"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":"Shengeng Tang","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Hefei, China and Ministry of Education, School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Hefei University of Technology, Hefei, China and Ministry of Education, School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014956557"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":2.0925,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.88297012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"15","issue":"6","first_page":"1","last_page":"25"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9907000064849854,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9904999732971191,"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":0.8389835357666016},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6561295390129089},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.5706734657287598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5630823373794556},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.5061215758323669},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.49014076590538025},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.48910146951675415},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.43440037965774536},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3778836131095886},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08746403455734253}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8389835357666016},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6561295390129089},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.5706734657287598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5630823373794556},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.5061215758323669},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.49014076590538025},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.48910146951675415},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.43440037965774536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3778836131095886},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08746403455734253},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3682066","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3682066","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3682066","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3682066","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3682066","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3682066","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G4907296540","display_name":null,"funder_award_id":"62302142","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7311719125","display_name":null,"funder_award_id":"JZ2023HGQA0097, JZ2024HGTA0178","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401079043.pdf"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1949591461","https://openalex.org/W2009907187","https://openalex.org/W2108598243","https://openalex.org/W2118181058","https://openalex.org/W2194775991","https://openalex.org/W2336162022","https://openalex.org/W2558687840","https://openalex.org/W2594407953","https://openalex.org/W2606561738","https://openalex.org/W2615497679","https://openalex.org/W2623012778","https://openalex.org/W2777534232","https://openalex.org/W2798991696","https://openalex.org/W2954773727","https://openalex.org/W2958063640","https://openalex.org/W2963656735","https://openalex.org/W2967515867","https://openalex.org/W2971463331","https://openalex.org/W2985033611","https://openalex.org/W2992308087","https://openalex.org/W2997877744","https://openalex.org/W3026089740","https://openalex.org/W3034303554","https://openalex.org/W3034494316","https://openalex.org/W3035524453","https://openalex.org/W3035673257","https://openalex.org/W3092676209","https://openalex.org/W3107848599","https://openalex.org/W3166233593","https://openalex.org/W3207905476","https://openalex.org/W3216959442","https://openalex.org/W4206077751","https://openalex.org/W4214865104","https://openalex.org/W4283792038","https://openalex.org/W4366606819","https://openalex.org/W4382240079","https://openalex.org/W4385067299","https://openalex.org/W4386066270"],"related_works":["https://openalex.org/W4388870064","https://openalex.org/W2210139803","https://openalex.org/W4235186151","https://openalex.org/W2054685365","https://openalex.org/W2056057048","https://openalex.org/W2667588871","https://openalex.org/W2272354214","https://openalex.org/W2084768720","https://openalex.org/W2043010663","https://openalex.org/W627697492"],"abstract_inverted_index":{"RGB-D":[0],"cross-modal":[1,157,169],"person":[2,9],"re-identification":[3],"(re-id)":[4],"targets":[5],"at":[6],"retrieving":[7],"the":[8,21,81,107,131,143,147,151,168,177,193,197,217,221],"of":[10,35,61,83,110,133,201,220],"interest":[11],"across":[12],"RGB":[13],"and":[14,94,118],"depth":[15],"image":[16],"modalities.":[17],"To":[18],"cope":[19],"with":[20,31,142],"modal":[22,91],"discrepancy,":[23],"some":[24],"existing":[25],"methods":[26],"generate":[27],"an":[28,77],"auxiliary":[29],"mode":[30,50,79,145],"either":[32],"inherent":[33],"properties":[34],"input":[36],"modes":[37,135],"or":[38],"extra":[39],"deep":[40],"networks.":[41],"However,":[42],"such":[43],"useful":[44],"intermediary":[45,78,85,108,144],"role":[46,109],"included":[47],"in":[48,54,67,204],"generated":[49,111],"is":[51,88,207],"often":[52],"overlooked":[53],"these":[55],"approaches,":[56],"leading":[57],"to":[58,104,129,155,166],"insufficient":[59],"exploitation":[60],"crucial":[62],"bridge":[63,102],"knowledge.":[64],"By":[65],"contrast,":[66],"this":[68,123,205],"article,":[69],"we":[70,214],"propose":[71],"a":[72,101,126],"novel":[73],"approach":[74],"that":[75,192],"constructs":[76],"through":[80,113,209,224],"constraints":[82],"self-supervised":[84],"learning,":[86],"which":[87,175],"freedom":[89],"from":[90],"prior":[92],"knowledge":[93],"additional":[95],"module":[96],"parameters.":[97],"We":[98],"then":[99],"design":[100],"network":[103,124],"fully":[105,137],"mine":[106],"modality":[112],"carrying":[114],"out":[115],"multi-modal":[116,127],"integration":[117],"decomposition.":[119],"For":[120,159],"one":[121],"thing,":[122],"leverages":[125],"transformer":[128],"integrate":[130],"information":[132],"three":[134],"via":[136],"exploiting":[138],"their":[139],"heterogeneous":[140],"relations":[141],"as":[146],"bridge.":[148],"It":[149],"conducts":[150],"identification":[152],"consistency":[153],"constraint":[154,170],"promote":[156],"associations.":[158],"another,":[160],"it":[161],"employs":[162],"circle":[163],"contrastive":[164],"learning":[165],"decompose":[167],"process":[171],"into":[172],"several":[173],"subprocedures,":[174],"provides":[176],"intermediate":[178],"relay":[179],"during":[180],"pulling":[181],"two":[182,188],"original":[183],"modalities":[184],"closer.":[185],"Experiments":[186],"on":[187],"public":[189],"datasets":[190],"demonstrate":[191],"proposed":[194,222],"method":[195,206,223],"exceeds":[196],"state-of-the-arts.":[198],"The":[199],"effectiveness":[200],"each":[202],"component":[203],"verified":[208],"numerous":[210],"ablation":[211],"studies.":[212],"Additionally,":[213],"have":[215],"demonstrated":[216],"generalization":[218],"ability":[219],"experiments.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":8}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
