{"id":"https://openalex.org/W4407874056","doi":"https://doi.org/10.1109/lra.2025.3544925","title":"W-ControlUDA: Weather-Controllable Diffusion-assisted Unsupervised Domain Adaptation for Semantic Segmentation","display_name":"W-ControlUDA: Weather-Controllable Diffusion-assisted Unsupervised Domain Adaptation for Semantic Segmentation","publication_year":2025,"publication_date":"2025-02-24","ids":{"openalex":"https://openalex.org/W4407874056","doi":"https://doi.org/10.1109/lra.2025.3544925"},"language":"en","primary_location":{"id":"doi:10.1109/lra.2025.3544925","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lra.2025.3544925","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/lra.2025.3544925","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021538087","display_name":"Fengyi Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Fengyi Shen","raw_affiliation_strings":["Technical University of Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102115240","display_name":"Li Zhou","orcid":"https://orcid.org/0009-0002-3279-8945"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Li Zhou","raw_affiliation_strings":["Technical University of Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116395303","display_name":"Kagan Kuecuekaytekin","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kagan Kuecuekaytekin","raw_affiliation_strings":["Technical University of Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049254859","display_name":"George Eskandar","orcid":"https://orcid.org/0000-0002-8099-8717"},"institutions":[{"id":"https://openalex.org/I4210166625","display_name":"Huawei German Research Center","ror":"https://ror.org/00z59w514","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210129353","https://openalex.org/I4210166625"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"George Basem Fouad Eskandar","raw_affiliation_strings":["Huawei Munich Research Center, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Huawei Munich Research Center, Munich, Germany","institution_ids":["https://openalex.org/I4210166625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100702698","display_name":"Ziyuan Liu","orcid":"https://orcid.org/0000-0001-7164-088X"},"institutions":[{"id":"https://openalex.org/I4210166625","display_name":"Huawei German Research Center","ror":"https://ror.org/00z59w514","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210129353","https://openalex.org/I4210166625"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ziyuan Liu","raw_affiliation_strings":["Huawei Munich Research Center, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Huawei Munich Research Center, Munich, Germany","institution_ids":["https://openalex.org/I4210166625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351699","display_name":"He Wang","orcid":"https://orcid.org/0000-0003-1679-0337"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Wang","raw_affiliation_strings":["EPIC Lab of Peking University and Galbot, Beijing, China"],"affiliations":[{"raw_affiliation_string":"EPIC Lab of Peking University and Galbot, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063781430","display_name":"Alois Knoll","orcid":"https://orcid.org/0000-0003-4840-076X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alois Knoll","raw_affiliation_strings":["Technical University of Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5021538087"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":7.4546,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.96248472,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"10","issue":"5","first_page":"4204","last_page":"4211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9587000012397766,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9269999861717224,"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/domain-adaptation","display_name":"Domain adaptation","score":0.607982337474823},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6054940223693848},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5778257250785828},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5737777352333069},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.48509228229522705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4578598141670227},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37413328886032104},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3568453788757324},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.33533576130867004},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1530437469482422},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1361575424671173},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.06301873922348022}],"concepts":[{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.607982337474823},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6054940223693848},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5778257250785828},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5737777352333069},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.48509228229522705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4578598141670227},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37413328886032104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3568453788757324},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.33533576130867004},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1530437469482422},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1361575424671173},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.06301873922348022},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lra.2025.3544925","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lra.2025.3544925","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/lra.2025.3544925","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lra.2025.3544925","pdf_url":null,"source":{"id":"https://openalex.org/S4210169774","display_name":"IEEE Robotics and Automation Letters","issn_l":"2377-3766","issn":["2377-3766"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Robotics and Automation Letters","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W1580389772","https://openalex.org/W1985690171","https://openalex.org/W2115579991","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2781228439","https://openalex.org/W2952735550","https://openalex.org/W2962785568","https://openalex.org/W2962793481","https://openalex.org/W2970048031","https://openalex.org/W2974687854","https://openalex.org/W3000172657","https://openalex.org/W3035564946","https://openalex.org/W3120804725","https://openalex.org/W3175294391","https://openalex.org/W3176820334","https://openalex.org/W3207649350","https://openalex.org/W3217147624","https://openalex.org/W4312768455","https://openalex.org/W4312933868","https://openalex.org/W4319300248","https://openalex.org/W4319301015","https://openalex.org/W4385804983","https://openalex.org/W4386047746","https://openalex.org/W4386075777","https://openalex.org/W4386075819","https://openalex.org/W4390872876","https://openalex.org/W4390873054","https://openalex.org/W4403049104","https://openalex.org/W6757817989","https://openalex.org/W6765779288","https://openalex.org/W6779823529","https://openalex.org/W6783713337","https://openalex.org/W6787133287","https://openalex.org/W6791353385","https://openalex.org/W6797399245","https://openalex.org/W6803921738","https://openalex.org/W6805547681","https://openalex.org/W6811013733","https://openalex.org/W6843038473","https://openalex.org/W6853559265"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W3203792196","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W2955455867","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"Image":[0],"generation":[1,76,96,217],"has":[2],"emerged":[3],"as":[4],"a":[5,108,161,199,224,239],"potent":[6],"strategy":[7],"to":[8,24,41,47,51,120,143,230],"enrich":[9],"training":[10,175,181],"data":[11,75,153,177,216],"for":[12,77,146,164,176,211],"unsupervised":[13],"domain":[14,30,50,126],"adaptation":[15],"(UDA)":[16],"of":[17,27,205],"semantic":[18,99],"segmentation":[19,166],"in":[20,61,86,107,167],"adverse":[21,168,219],"weathers":[22],"due":[23],"the":[25,45,48,121,151,183,193,203,245,252],"scarcity":[26],"labelled":[28],"target":[29,49,125,196,206],"data.":[31,185],"Previous":[32],"UDA":[33,53,122,156,165,180,222,237],"works":[34],"commonly":[35],"utilize":[36],"generative":[37],"adversarial":[38],"networks":[39],"(GANs)":[40],"translate":[42],"images":[43],"from":[44,59,198],"source":[46],"enhance":[52,155],"training.":[54],"However,":[55,101],"these":[56],"GANs,":[57],"trained":[58,106],"scratch":[60],"an":[62,140],"unpaired":[63,188],"manner,":[64,110],"produce":[65],"sub-optimal":[66],"image":[67,95,112],"quality":[68],"and":[69,113,148,179,214,249],"lack":[70,204],"multi-weather":[71],"controllability.":[72],"Consequently,":[73],"controllable":[74],"diverse":[78,94],"weather":[79],"scenarios":[80],"remains":[81],"underexplored.":[82],"The":[83],"recent":[84],"strides":[85],"text-to-image":[87],"diffusion":[88],"models":[89],"(DM)":[90],"enables":[91],"high":[92],"fidelity":[93],"conditioned":[97],"on":[98,195,244,255],"labels.":[100,207],"such":[102],"DMs":[103,145],"must":[104],"be":[105],"paired":[109],"i.e.,":[111],"label":[114,225],"pairs,":[115],"which":[116],"poses":[117],"huge":[118],"challenge":[119],"setting":[123],"where":[124],"labels":[127],"are":[128],"missing.":[129],"This":[130],"work":[131],"addresses":[132],"two":[133,172],"key":[134],"questions:":[135],"<italic":[136],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[137],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">What":[138],"is":[139,228],"optimal":[141],"approach":[142],"train":[144],"UDA,":[147],"how":[149],"can":[150],"generated":[152,184],"best":[154],"performance?</i>":[157],"We":[158,208],"introduce":[159],"W-ControlUDA,":[160],"diffusion-assisted":[162],"framework":[163],"weather.":[169],"W-ControlUDA":[170,235],"involves":[171],"steps:":[173],"DM":[174,194],"augmentation":[178],"using":[182],"Unlike":[186],"previous":[187],"training,":[189,223],"our":[190],"method":[191],"conditions":[192],"predictions":[197],"pre-trained":[200],"segmentor,":[201],"addressing":[202],"propose":[209],"UDAControlNet":[210],"high-fidelity":[212],"cross-domain":[213],"intra-domain":[215],"under":[218],"weathers.":[220],"In":[221],"filtering":[226],"mechanism":[227],"introduced":[229],"ensure":[231],"more":[232],"reliable":[233],"results.":[234],"helps":[236],"achieve":[238],"new":[240],"milestone":[241],"(72.8":[242],"mIoU)":[243],"popular":[246],"Cityscapes-to-ACDC":[247],"benchmark":[248],"notably":[250],"improves":[251],"model's":[253],"generalization":[254],"5":[256],"other":[257],"benchmarks.":[258]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}