{"id":"https://openalex.org/W4387635378","doi":"https://doi.org/10.1145/3581783.3611948","title":"DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative Perception","display_name":"DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative Perception","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387635378","doi":"https://doi.org/10.1145/3581783.3611948"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3611948","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3611948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2310.08117","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100616858","display_name":"Xianghao Kong","orcid":"https://orcid.org/0009-0004-9865-4105"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianghao Kong","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025619401","display_name":"Wentao Jiang","orcid":"https://orcid.org/0000-0002-4894-5703"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wentao Jiang","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085933664","display_name":"Jinrang Jia","orcid":"https://orcid.org/0009-0008-7842-597X"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinrang Jia","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100700009","display_name":"Yifeng Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifeng Shi","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100700826","display_name":"Runsheng Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Runsheng Xu","raw_affiliation_strings":["University of California, Los Angeles, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100330138","display_name":"Si Liu","orcid":"https://orcid.org/0000-0002-9180-2935"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si Liu","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100616858"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":1.6609,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.864338,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1943","last_page":"1954"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9980999827384949,"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":0.9980999827384949,"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":0.9947999715805054,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9896000027656555,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8027637004852295},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.7216941714286804},{"id":"https://openalex.org/keywords/adapter","display_name":"Adapter (computing)","score":0.4873083829879761},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4596225321292877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45046091079711914},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44538065791130066},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.4265543818473816},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.41805875301361084},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38960278034210205},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34334132075309753},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3421614170074463}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8027637004852295},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7216941714286804},{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.4873083829879761},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4596225321292877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45046091079711914},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44538065791130066},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.4265543818473816},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.41805875301361084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38960278034210205},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34334132075309753},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3421614170074463},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3581783.3611948","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3611948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2310.08117","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.08117","pdf_url":"https://arxiv.org/pdf/2310.08117","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2310.08117","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.08117","pdf_url":"https://arxiv.org/pdf/2310.08117","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5696407354","display_name":null,"funder_award_id":"62122010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8951484681","display_name":null,"funder_award_id":"Grant","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387635378.pdf","grobid_xml":"https://content.openalex.org/works/W4387635378.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1731081199","https://openalex.org/W1869778509","https://openalex.org/W1882958252","https://openalex.org/W2104094955","https://openalex.org/W2219431285","https://openalex.org/W2562192638","https://openalex.org/W2594718649","https://openalex.org/W2884561390","https://openalex.org/W2895281799","https://openalex.org/W2896591327","https://openalex.org/W2963107255","https://openalex.org/W2964115968","https://openalex.org/W2968296999","https://openalex.org/W2981705647","https://openalex.org/W2982681137","https://openalex.org/W2983064130","https://openalex.org/W2985739927","https://openalex.org/W2996759437","https://openalex.org/W3034975685","https://openalex.org/W3035098634","https://openalex.org/W3090375251","https://openalex.org/W3109991383","https://openalex.org/W3135290805","https://openalex.org/W3174496366","https://openalex.org/W3175269419","https://openalex.org/W3190960741","https://openalex.org/W3195311297","https://openalex.org/W3196312100","https://openalex.org/W3201193904","https://openalex.org/W3204792207","https://openalex.org/W3205572132","https://openalex.org/W3206487064","https://openalex.org/W3207977952","https://openalex.org/W3210076120","https://openalex.org/W3212274858","https://openalex.org/W3212352499","https://openalex.org/W4230769173","https://openalex.org/W4284701604","https://openalex.org/W4286544732","https://openalex.org/W4286897799","https://openalex.org/W4295521014","https://openalex.org/W4295719664","https://openalex.org/W4297411803","https://openalex.org/W4304083137","https://openalex.org/W4304091751","https://openalex.org/W4308083918","https://openalex.org/W4312571135","https://openalex.org/W4312604822","https://openalex.org/W4312939270","https://openalex.org/W4319299982","https://openalex.org/W4320013936","https://openalex.org/W4383108477","https://openalex.org/W4383108819","https://openalex.org/W4383108834","https://openalex.org/W6600178264"],"related_works":["https://openalex.org/W2133028525","https://openalex.org/W4306381730","https://openalex.org/W4229060448","https://openalex.org/W2981692913","https://openalex.org/W3044188621","https://openalex.org/W3184035966","https://openalex.org/W2160602540","https://openalex.org/W2485605994","https://openalex.org/W4385571108","https://openalex.org/W4200251711"],"abstract_inverted_index":{"Vehicle-to-Everything":[0],"(V2X)":[1],"collaborative":[2,96,140,154],"perception":[3,16],"is":[4],"crucial":[5],"for":[6,138],"the":[7,52,117,152,186,191,204,222,229,237,240,249,254],"advancement":[8],"of":[9,21,76,101,119,126,185,231,239],"autonomous":[10,107],"driving.":[11],"However,":[12],"achieving":[13],"high-precision":[14],"V2X":[15,139,153],"requires":[17],"a":[18,91,131,172,200,214],"significant":[19,53],"amount":[20],"annotated":[22],"real-world":[23,59,85,95,197,255],"data,":[24,60,128],"which":[25],"can":[26,42],"always":[27],"be":[28,43,104],"expensive":[29],"and":[30,58,68,109,164,189,196],"hard":[31],"to":[32,73,178,220,253],"acquire.":[33],"Simulated":[34],"data":[35,81,195,198],"have":[36],"raised":[37],"much":[38],"attention":[39],"since":[40],"they":[41],"massively":[44],"produced":[45],"at":[46],"an":[47],"extremely":[48],"low":[49],"cost.":[50],"Nevertheless,":[51],"domain":[54,92,135,156],"gap":[55,93],"between":[56,94,193],"simulated":[57,80,127,194,250],"including":[61],"differences":[62],"in":[63],"sensor":[64],"type,":[65],"reflectance":[66],"patterns,":[67],"road":[69],"surroundings,":[70],"often":[71],"leads":[72],"poor":[74],"performance":[75],"models":[77],"trained":[78],"on":[79,84,106,203,244],"when":[82],"evaluated":[83],"data.":[86],"In":[87],"addition,":[88],"there":[89],"remains":[90],"agents,":[97],"e.g.":[98],"different":[99,113],"types":[100],"sensors":[102],"may":[103],"installed":[105],"vehicles":[108],"roadside":[110],"infrastructures":[111],"with":[112],"extrinsics,":[114],"further":[115,212],"increasing":[116],"difficulty":[118],"sim2real":[120,134,155,162,168,246],"generalization.":[121],"To":[122],"take":[123],"full":[124],"advantage":[125],"we":[129,170,211],"present":[130],"new":[132,149],"unsupervised":[133,245],"adaptation":[136,157,163,247],"method":[137,150],"detection":[141],"named":[142],"Decoupled":[143],"Unsupervised":[144],"Sim2Real":[145,174],"Adaptation":[146],"(DUSA).":[147],"Our":[148],"decouples":[151],"problem":[158],"into":[159],"two":[160],"sub-problems:":[161],"inter-agent":[165,209],"adaptation.":[166],"For":[167,208],"adaptation,":[169,210],"design":[171],"Location-adaptive":[173],"Adapter":[175,217],"(LSA)":[176],"module":[177,219],"adaptively":[179],"aggregate":[180],"features":[181,192,224],"from":[182,225,248],"critical":[183],"locations":[184],"feature":[187],"map":[188],"align":[190,221],"via":[199],"sim/real":[201],"discriminator":[202],"aggregated":[205],"global":[206],"feature.":[207],"devise":[213],"Confidence-aware":[215],"Inter-agent":[216],"(CIA)":[218],"fine-grained":[223],"heterogeneous":[226],"agents":[227],"under":[228],"guidance":[230],"agent-wise":[232],"confidence":[233],"maps.":[234],"Experiments":[235],"demonstrate":[236],"effectiveness":[238],"proposed":[241],"DUSA":[242],"approach":[243],"V2XSet":[251],"dataset":[252],"DAIR-V2X-C":[256],"dataset.":[257]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
