{"id":"https://openalex.org/W4408354204","doi":"https://doi.org/10.1109/icassp49660.2025.10888014","title":"Causal Debiasing for Visual Commonsense Reasoning","display_name":"Causal Debiasing for Visual Commonsense Reasoning","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408354204","doi":"https://doi.org/10.1109/icassp49660.2025.10888014"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2510.20281","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038063326","display_name":"Jiayi Zou","orcid":"https://orcid.org/0009-0003-8821-6358"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Zou","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084003247","display_name":"Gengyun Jia","orcid":"https://orcid.org/0000-0002-0513-138X"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gengyun Jia","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007962086","display_name":"Bing\u2010Kun Bao","orcid":"https://orcid.org/0000-0001-5956-831X"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing-Kun Bao","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I41198531"],"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/T10260","display_name":"Software Engineering Research","score":0.8712000250816345,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10260","display_name":"Software Engineering Research","score":0.8712000250816345,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10215","display_name":"Semantic Web and Ontologies","score":0.8355000019073486,"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/T10799","display_name":"Data Visualization and Analytics","score":0.7429999709129333,"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/debiasing","display_name":"Debiasing","score":0.9797723889350891},{"id":"https://openalex.org/keywords/commonsense-reasoning","display_name":"Commonsense reasoning","score":0.7261340022087097},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6380836963653564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41379889845848083},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.2858944535255432},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2459913194179535}],"concepts":[{"id":"https://openalex.org/C2779458634","wikidata":"https://www.wikidata.org/wiki/Q24963715","display_name":"Debiasing","level":2,"score":0.9797723889350891},{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.7261340022087097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6380836963653564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41379889845848083},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.2858944535255432},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2459913194179535}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2510.20281","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.20281","pdf_url":"https://arxiv.org/pdf/2510.20281","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2510.20281","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.20281","pdf_url":"https://arxiv.org/pdf/2510.20281","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2883092990","https://openalex.org/W2963115613","https://openalex.org/W3035103424","https://openalex.org/W3036148046","https://openalex.org/W3090449556","https://openalex.org/W3092601801","https://openalex.org/W3160852715","https://openalex.org/W3174690404","https://openalex.org/W3176896951","https://openalex.org/W3202670445","https://openalex.org/W3206218097","https://openalex.org/W4205199670","https://openalex.org/W4226538672","https://openalex.org/W4288045581","https://openalex.org/W4292433237","https://openalex.org/W4323892224","https://openalex.org/W4366822016","https://openalex.org/W4376481269","https://openalex.org/W4377971516","https://openalex.org/W4381598461","https://openalex.org/W4383337770","https://openalex.org/W4385696173","https://openalex.org/W4386072159","https://openalex.org/W4388430346","https://openalex.org/W4389140516","https://openalex.org/W4389459098","https://openalex.org/W4390873421","https://openalex.org/W4392903117","https://openalex.org/W4392904190","https://openalex.org/W4393033612","https://openalex.org/W4394625713","https://openalex.org/W4402716166","https://openalex.org/W6767362881","https://openalex.org/W6789909235","https://openalex.org/W6864216162"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4362554880","https://openalex.org/W4281684980","https://openalex.org/W4386875279","https://openalex.org/W2171721708","https://openalex.org/W4390963114","https://openalex.org/W4287887864","https://openalex.org/W3214527415"],"abstract_inverted_index":{"Visual":[0],"Commonsense":[1],"Reasoning":[2],"(VCR)":[3],"refers":[4],"to":[5,60,87,102],"answering":[6],"questions":[7],"and":[8,27,38,44,54,76,81],"providing":[9],"explanations":[10],"based":[11,95],"on":[12,96],"images.":[13],"While":[14],"existing":[15],"methods":[16],"achieve":[17],"high":[18],"prediction":[19,77,104],"accuracy,":[20],"they":[21],"often":[22],"overlook":[23],"bias":[24],"in":[25,41,79],"datasets":[26],"lack":[28],"debiasing":[29,112],"strategies.":[30],"In":[31],"this":[32],"paper,":[33],"our":[34,111],"analysis":[35],"reveals":[36],"co-occurrence":[37],"statistical":[39],"biases":[40],"both":[42],"textual":[43],"visual":[45],"data.":[46],"We":[47],"introduce":[48],"the":[49,62,73,97,108],"VCR-OOD":[50],"datasets,":[51],"comprising":[52],"VCR-OOD-QA":[53],"VCR-OOD-VA":[55],"subsets,":[56],"which":[57],"are":[58],"designed":[59],"evaluate":[61],"generalization":[63],"capabilities":[64],"of":[65,99,110],"models":[66],"across":[67,114],"two":[68],"modalities.":[69],"Furthermore,":[70],"we":[71,91],"analyze":[72],"causal":[74],"graphs":[75],"shortcuts":[78],"VCR":[80],"adopt":[82],"a":[83,93],"backdoor":[84],"adjustment":[85],"method":[86,113],"remove":[88],"bias.":[89],"Specifically,":[90],"create":[92],"dictionary":[94],"set":[98],"correct":[100],"answers":[101],"eliminate":[103],"shortcuts.":[105],"Experiments":[106],"demonstrate":[107],"effectiveness":[109],"different":[115],"datasets.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
