{"id":"https://openalex.org/W7131254749","doi":"https://doi.org/10.1109/vcip67698.2025.11396834","title":"Robust Road Object Detection with CAESAR: Context-Aware Explanations via Semantic Attribution and Refinement","display_name":"Robust Road Object Detection with CAESAR: Context-Aware Explanations via Semantic Attribution and Refinement","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W7131254749","doi":"https://doi.org/10.1109/vcip67698.2025.11396834"},"language":"en","primary_location":{"id":"doi:10.1109/vcip67698.2025.11396834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip67698.2025.11396834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Visual Communications and Image Processing (VCIP)","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/A5126703304","display_name":"Anh-Thu Mai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104693","display_name":"STMicroelectronics (France)","ror":"https://ror.org/01c74sd89","country_code":"FR","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210104693"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Anh-Thu Mai","raw_affiliation_strings":["STMicroelectronics,Grenoble,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STMicroelectronics,Grenoble,France","institution_ids":["https://openalex.org/I4210104693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110003868","display_name":"Marina Nicolas","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104693","display_name":"STMicroelectronics (France)","ror":"https://ror.org/01c74sd89","country_code":"FR","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210104693"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marina Nicolas","raw_affiliation_strings":["STMicroelectronics,Grenoble,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STMicroelectronics,Grenoble,France","institution_ids":["https://openalex.org/I4210104693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030037235","display_name":"Patricia Ladret","orcid":"https://orcid.org/0000-0001-9150-5319"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Patricia Ladret","raw_affiliation_strings":["Univ. Grenoble Alpes,CNRS, Grenoble INP, GIPSA-Lab,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Grenoble Alpes,CNRS, Grenoble INP, GIPSA-Lab,France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081662880","display_name":"Alice Caplier","orcid":"https://orcid.org/0000-0002-5937-4627"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alice Caplier","raw_affiliation_strings":["Univ. Grenoble Alpes,CNRS, Grenoble INP, GIPSA-Lab,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Grenoble Alpes,CNRS, Grenoble INP, GIPSA-Lab,France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.38019999861717224,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.38019999861717224,"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":0.3077999949455261,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.10429999977350235,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6499999761581421},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.583899974822998},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.5227000117301941},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.39100000262260437},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.36039999127388},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.3549000024795532},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.3427000045776367},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.34139999747276306},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.3034000098705292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.754800021648407},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6499999761581421},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6223000288009644},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.583899974822998},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.5227000117301941},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43630000948905945},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.39100000262260437},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.36039999127388},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.3549000024795532},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.3427000045776367},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.34139999747276306},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.2797999978065491},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26159998774528503},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.2615000009536743},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.25940001010894775},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.25760000944137573},{"id":"https://openalex.org/C21847791","wikidata":"https://www.wikidata.org/wiki/Q191081","display_name":"Logical conjunction","level":2,"score":0.2547000050544739},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/vcip67698.2025.11396834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip67698.2025.11396834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-05557020v1","is_oa":false,"landing_page_url":"https://hal.univ-grenoble-alpes.fr/hal-05557020","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://vcip2025.itec.aau.at/","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2144764737","https://openalex.org/W2159564241","https://openalex.org/W2240067561","https://openalex.org/W2340897893","https://openalex.org/W2442293398","https://openalex.org/W2765793020","https://openalex.org/W2962858109","https://openalex.org/W2963163009","https://openalex.org/W3004725381","https://openalex.org/W3034971973","https://openalex.org/W3035564946","https://openalex.org/W3096563782","https://openalex.org/W3096609285","https://openalex.org/W3159481202","https://openalex.org/W3186608063","https://openalex.org/W3211328899","https://openalex.org/W4226042837","https://openalex.org/W4226498433","https://openalex.org/W4320002812","https://openalex.org/W4385801046","https://openalex.org/W4386766902","https://openalex.org/W4390874575","https://openalex.org/W4391841967","https://openalex.org/W4391882557","https://openalex.org/W4393078719","https://openalex.org/W4396920636","https://openalex.org/W4398756379","https://openalex.org/W4401418968","https://openalex.org/W4401444389","https://openalex.org/W4403844164","https://openalex.org/W4404734685","https://openalex.org/W4407423973"],"related_works":[],"abstract_inverted_index":{"Contemporary":[0],"road":[1,134],"object":[2,135],"detectors":[3],"face":[4],"entangled":[5],"challenges":[6],"of":[7],"opaque":[8],"decision-making,":[9],"occlusions,":[10],"and":[11,29,57,74,81,109,140],"adverse":[12],"weather,":[13],"yet":[14],"no":[15],"existing":[16],"method":[17],"addresses":[18],"all":[19],"simultaneously.":[20],"We":[21],"introduce":[22],"CAESAR":[23,45,69,127],"(Context-Aware":[24],"Explanations":[25],"via":[26],"Semantic":[27],"Attribution":[28],"Refinement),":[30],"a":[31],"model-agnostic":[32],"framework":[33],"that":[34],"improves":[35],"baseline":[36],"detectors\u2019":[37],"performance":[38],"while":[39],"generating":[40],"faithful,":[41],"human-aligned,":[42],"instance-level":[43],"explanations.":[44],"combines":[46],"top-down":[47],"contextual":[48],"cues":[49],"with":[50,104,116,132],"bottom-up":[51],"features,":[52],"adaptively":[53],"balancing":[54],"global":[55],"semantics":[56],"local":[58],"details":[59],"according":[60],"to":[61],"prediction":[62],"uncertainty.":[63],"When":[64],"integrated":[65],"into":[66],"state-of-the-art":[67],"detectors,":[68],"consistently":[70],"enhances":[71],"detection":[72,136],"accuracy":[73],"robustness":[75],"across":[76],"unfavorable":[77],"conditions":[78],"on":[79],"TJU-DHD-Traffic":[80],"BDD100K":[82],"datasets.":[83],"Its":[84],"modular":[85],"context":[86],"component":[87],"supports":[88],"standalone":[89],"recalculation":[90],"for":[91,119,137],"domain":[92],"adaptation":[93],"without":[94],"altering":[95],"the":[96,105],"core":[97],"detector.":[98],"Faithfulness":[99],"evaluation":[100],"confirms":[101],"its":[102,114],"alignment":[103],"model\u2019s":[106],"internal":[107],"reasoning,":[108],"an":[110],"ablation":[111],"study":[112],"demonstrates":[113],"compatibility":[115],"complementary":[117],"components":[118],"optimal":[120],"performance.":[121],"By":[122],"leveraging":[123],"human":[124],"attention":[125],"strategies,":[126],"advances":[128],"trustworthy":[129],"vision":[130],"systems":[131],"robust":[133],"autonomous":[138],"driving":[139],"beyond.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2026-02-25T00:00:00"}