{"id":"https://openalex.org/W4413925034","doi":"https://doi.org/10.1109/icra55743.2025.11127895","title":"Coarse-to-Fine Cross-Modality Generation for Enhancing Vehicle Re-Identification with High-Fidelity Synthetic Data","display_name":"Coarse-to-Fine Cross-Modality Generation for Enhancing Vehicle Re-Identification with High-Fidelity Synthetic Data","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4413925034","doi":"https://doi.org/10.1109/icra55743.2025.11127895"},"language":"en","primary_location":{"id":"doi:10.1109/icra55743.2025.11127895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11127895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5048376342","display_name":"Leyang Jin","orcid":"https://orcid.org/0009-0002-1440-9096"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Leyang Jin","raw_affiliation_strings":["School of Computing, National University of Singapore,Singapore,117417"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore,Singapore,117417","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100664955","display_name":"Wei Ji","orcid":"https://orcid.org/0000-0001-9832-254X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Ji","raw_affiliation_strings":["School of Intelligence Science and Technology, Nanjing University,China,215163"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Intelligence Science and Technology, Nanjing University,China,215163","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089404640","display_name":"Tat\u2010Seng Chua","orcid":"https://orcid.org/0000-0001-6097-7807"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tat-Seng Chua","raw_affiliation_strings":["School of Computing, National University of Singapore,Singapore,117417"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore,Singapore,117417","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034162160","display_name":"Zhedong Zheng","orcid":"https://orcid.org/0000-0002-2434-9050"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Zhedong Zheng","raw_affiliation_strings":["FST and ICI, University of Macau,China,999078"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FST and ICI, University of Macau,China,999078","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7319","last_page":"7326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12759","display_name":"Vehicle Noise and Vibration Control","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12759","display_name":"Vehicle Noise and Vibration Control","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9785000085830688,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10860","display_name":"Speech and Audio Processing","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.6136431694030762},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5974954962730408},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5727208852767944},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.48639872670173645},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.41146740317344666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38373398780822754},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1116003692150116}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6136431694030762},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5974954962730408},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5727208852767944},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.48639872670173645},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.41146740317344666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38373398780822754},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1116003692150116},{"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":1,"locations":[{"id":"doi:10.1109/icra55743.2025.11127895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11127895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1528703258","https://openalex.org/W1958236864","https://openalex.org/W2138011018","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2470322391","https://openalex.org/W2495961871","https://openalex.org/W2512434173","https://openalex.org/W2519904008","https://openalex.org/W2520433280","https://openalex.org/W2585635281","https://openalex.org/W2779954854","https://openalex.org/W2789546350","https://openalex.org/W2885476150","https://openalex.org/W2893828708","https://openalex.org/W2938503583","https://openalex.org/W2954626788","https://openalex.org/W2955854238","https://openalex.org/W2963173190","https://openalex.org/W2965843888","https://openalex.org/W2982041213","https://openalex.org/W2983188006","https://openalex.org/W2991522752","https://openalex.org/W2997987796","https://openalex.org/W3016056282","https://openalex.org/W3034247804","https://openalex.org/W3034303554","https://openalex.org/W3092949934","https://openalex.org/W3096831136","https://openalex.org/W3097245252","https://openalex.org/W3098711604","https://openalex.org/W3107087058","https://openalex.org/W3109976024","https://openalex.org/W3174112294","https://openalex.org/W3195399086","https://openalex.org/W3199843971","https://openalex.org/W3207975514","https://openalex.org/W4214736485","https://openalex.org/W4226406281","https://openalex.org/W4246193833","https://openalex.org/W4293363567","https://openalex.org/W4312349930","https://openalex.org/W4312361652","https://openalex.org/W4312933868","https://openalex.org/W4313555338","https://openalex.org/W4318149008","https://openalex.org/W4327950385","https://openalex.org/W4375868831","https://openalex.org/W4382460786","https://openalex.org/W4385252954","https://openalex.org/W4386065422","https://openalex.org/W4387969466","https://openalex.org/W4390724240","https://openalex.org/W4392796504","https://openalex.org/W4400647248","https://openalex.org/W4401415540","https://openalex.org/W4401417110","https://openalex.org/W4402754104","https://openalex.org/W4403947192"],"related_works":["https://openalex.org/W2381850946","https://openalex.org/W4380449851","https://openalex.org/W3125091513","https://openalex.org/W2385859805","https://openalex.org/W2530972254","https://openalex.org/W4248383205","https://openalex.org/W4234745530","https://openalex.org/W2146383839","https://openalex.org/W4377088509","https://openalex.org/W4384517922"],"abstract_inverted_index":{"Due":[0],"to":[1,31,66,117,122,135],"the":[2,33,40,47,78,110,124,127,142,151],"critical":[3],"issues":[4],"of":[5,49,82,113,126],"privacy":[6],"and":[7,89,100,173,175],"partial":[8],"occlusion,":[9],"license":[10],"plate":[11],"information":[12],"is":[13,176],"not":[14],"always":[15],"available":[16],"in":[17],"vehicle":[18,27,69,74,98,104],"recognition":[19],"systems.":[20,38],"Consequently,":[21],"researchers":[22],"have":[23],"increasingly":[24],"turned":[25],"towards":[26],"re-identification":[28],"(reID)":[29],"techniques":[30],"bridge":[32],"gap":[34],"between":[35],"cross-view":[36],"camera":[37],"Despite":[39],"growing":[41],"interest,":[42],"one":[43],"major":[44],"challenge":[45],"persists:":[46],"scarcity":[48],"authentic,":[50],"large-scale":[51],"training":[52],"datasets.":[53],"To":[54],"address":[55],"this":[56,58,147],"challenge,":[57],"paper":[59],"introduces":[60],"a":[61],"coarse-to-fine":[62],"generation":[63],"pipeline":[64],"designed":[65],"synthesize":[67],"high-fidelity":[68],"data,":[70,129],"thereby":[71],"facilitating":[72],"subsequent":[73],"representation":[75],"learning.":[76],"Specifically,":[77],"proposed":[79],"approach":[80,162],"consists":[81],"three":[83],"stages:":[84],"Prompt":[85],"Processing,":[86],"Diffusion":[87],"Fine-tuning,":[88],"Semantic":[90],"Filtering.":[91],"First,":[92],"we":[93,108,130,149],"collect":[94],"detailed":[95],"prompts":[96],"from":[97],"websites":[99],"companies":[101],"with":[102,178],"fine-grained":[103],"prototype":[105],"attributes.":[106],"Next,":[107],"leverage":[109],"prior":[111],"knowledge":[112],"these":[114],"automotive":[115],"prototypes":[116],"fine-tune":[118],"diffusion":[119],"models.":[120,155],"Finally,":[121],"ensure":[123],"quality":[125],"synthesized":[128],"employ":[131],"pretrained":[132],"vision-language":[133],"models":[134],"filter":[136],"out":[137],"substandard":[138],"images.":[139],"Building":[140],"upon":[141],"high-quality":[143],"data":[144],"generated":[145],"by":[146],"pipeline,":[148],"validate":[150],"effectiveness":[152],"using":[153],"vanilla":[154],"Extensive":[156],"experimental":[157],"evaluations":[158],"demonstrate":[159],"that":[160],"our":[161],"achieves":[163],"competitive":[164],"accuracy":[165],"on":[166],"public":[167],"benchmarks":[168],"such":[169],"as":[170],"VeRi-776,":[171],"VehicleID":[172],"CityFlowV2,":[174],"compatible":[177],"various":[179],"model":[180],"architectures.":[181]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}