{"id":"https://openalex.org/W4295751877","doi":"https://doi.org/10.1109/tip.2022.3205207","title":"VideoABC: A Real-World Video Dataset for Abductive Visual Reasoning","display_name":"VideoABC: A Real-World Video Dataset for Abductive Visual Reasoning","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4295751877","doi":"https://doi.org/10.1109/tip.2022.3205207","pmid":"https://pubmed.ncbi.nlm.nih.gov/36103440"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2022.3205207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3205207","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5060902476","display_name":"Wenliang Zhao","orcid":"https://orcid.org/0000-0002-0920-1576"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenliang Zhao","raw_affiliation_strings":["Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082694832","display_name":"Yongming Rao","orcid":"https://orcid.org/0000-0003-3952-8753"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongming Rao","raw_affiliation_strings":["Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101926293","display_name":"Yansong Tang","orcid":"https://orcid.org/0000-0002-1534-4549"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yansong Tang","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100620306","display_name":"Jie Zhou","orcid":"https://orcid.org/0000-0001-7701-234X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhou","raw_affiliation_strings":["Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100460385","display_name":"Jiwen Lu","orcid":"https://orcid.org/0000-0002-6121-5529"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiwen Lu","raw_affiliation_strings":["Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5060902476"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.8151,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73127406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"31","issue":null,"first_page":"6048","last_page":"6061"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9987000226974487,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9936000108718872,"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/computer-science","display_name":"Computer science","score":0.7522008419036865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6460845470428467},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6410548686981201},{"id":"https://openalex.org/keywords/visual-reasoning","display_name":"Visual reasoning","score":0.6225839257240295},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5636608600616455},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5619955062866211},{"id":"https://openalex.org/keywords/abductive-reasoning","display_name":"Abductive reasoning","score":0.5336499810218811},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.49897003173828125},{"id":"https://openalex.org/keywords/reasoning-system","display_name":"Reasoning system","score":0.4644365906715393},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4231092929840088},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4213864803314209},{"id":"https://openalex.org/keywords/spatial-intelligence","display_name":"Spatial intelligence","score":0.41807451844215393},{"id":"https://openalex.org/keywords/case-based-reasoning","display_name":"Case-based reasoning","score":0.41133901476860046}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7522008419036865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6460845470428467},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6410548686981201},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.6225839257240295},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5636608600616455},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5619955062866211},{"id":"https://openalex.org/C166088908","wikidata":"https://www.wikidata.org/wiki/Q308495","display_name":"Abductive reasoning","level":2,"score":0.5336499810218811},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.49897003173828125},{"id":"https://openalex.org/C89288958","wikidata":"https://www.wikidata.org/wiki/Q7301504","display_name":"Reasoning system","level":2,"score":0.4644365906715393},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4231092929840088},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4213864803314209},{"id":"https://openalex.org/C155911833","wikidata":"https://www.wikidata.org/wiki/Q3817354","display_name":"Spatial intelligence","level":2,"score":0.41807451844215393},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.41133901476860046},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2022.3205207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3205207","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:36103440","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36103440","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.75}],"awards":[{"id":"https://openalex.org/G3510215249","display_name":null,"funder_award_id":"62125603","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4397514795","display_name":null,"funder_award_id":"U1813218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G867175025","display_name":null,"funder_award_id":"2017YFA0700802","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W343636949","https://openalex.org/W639708223","https://openalex.org/W1480431302","https://openalex.org/W1522734439","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W1927052826","https://openalex.org/W1933349210","https://openalex.org/W2016053056","https://openalex.org/W2084092936","https://openalex.org/W2113588862","https://openalex.org/W2156303437","https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2337252826","https://openalex.org/W2398250566","https://openalex.org/W2507009361","https://openalex.org/W2560730294","https://openalex.org/W2561715562","https://openalex.org/W2625366777","https://openalex.org/W2770804203","https://openalex.org/W2798345491","https://openalex.org/W2842511635","https://openalex.org/W2896457183","https://openalex.org/W2957775769","https://openalex.org/W2962957359","https://openalex.org/W2963091558","https://openalex.org/W2963115613","https://openalex.org/W2963150697","https://openalex.org/W2963155035","https://openalex.org/W2963524571","https://openalex.org/W2963570630","https://openalex.org/W2963690694","https://openalex.org/W2963890755","https://openalex.org/W2964094654","https://openalex.org/W2964220823","https://openalex.org/W2981635073","https://openalex.org/W2981851019","https://openalex.org/W2984008963","https://openalex.org/W2990152177","https://openalex.org/W2990503944","https://openalex.org/W2997399961","https://openalex.org/W3023993913","https://openalex.org/W3040468852","https://openalex.org/W3106768499","https://openalex.org/W3116963012","https://openalex.org/W3122622502","https://openalex.org/W3126721948","https://openalex.org/W3159630763","https://openalex.org/W3166893724","https://openalex.org/W4206657241","https://openalex.org/W4214612132","https://openalex.org/W4241331778","https://openalex.org/W4242082217","https://openalex.org/W4288093753","https://openalex.org/W4288262459","https://openalex.org/W4297808394","https://openalex.org/W4385245566","https://openalex.org/W6600983433","https://openalex.org/W6682864246","https://openalex.org/W6684191040","https://openalex.org/W6739901393","https://openalex.org/W6746034047","https://openalex.org/W6755207826","https://openalex.org/W6769024994","https://openalex.org/W6780072773","https://openalex.org/W6790307280","https://openalex.org/W6795711426"],"related_works":["https://openalex.org/W2534530306","https://openalex.org/W2127232662","https://openalex.org/W2148216026","https://openalex.org/W2124986960","https://openalex.org/W3137117987","https://openalex.org/W1574950926","https://openalex.org/W1974525301","https://openalex.org/W3093342974","https://openalex.org/W2113245685","https://openalex.org/W2039143072"],"abstract_inverted_index":{"In":[0,105],"this":[1,61,267],"paper,":[2],"we":[3,38,190],"investigate":[4],"the":[5,18,53,75,86,95,103,118,127,132,200,249],"problem":[6],"of":[7,49,99,147,167,251],"abductive":[8,159,212],"visual":[9,23,30,213],"reasoning":[10,31,41,160,165,258],"(AVR),":[11],"which":[12,28,71,125,145],"requires":[13,126],"vision":[14],"systems":[15],"to":[16,90,101,107,129,198],"infer":[17],"most":[19,96],"plausible":[20,97],"explanation":[21],"for":[22,60,211,263],"observations.":[24,206],"Unlike":[25],"previous":[26],"work":[27],"performs":[29],"on":[32,74,112,220,240,256,266],"static":[33],"images":[34],"or":[35],"synthesized":[36],"scenes,":[37],"exploit":[39],"long-term":[40,201],"from":[42,81,152],"instructional":[43,83,154],"videos":[44],"that":[45],"contain":[46],"a":[47,140,192,209],"wealth":[48],"detailed":[50],"information":[51,114],"about":[52],"physical":[54],"world.":[55],"We":[56,138,207],"conceptualize":[57],"two":[58,242],"tasks":[59],"emerging":[62],"and":[63,78,85,178,184,205,215,226,232,259,272],"challenging":[64,268],"topic.":[65],"The":[66,244],"primary":[67],"task":[68,120],"is":[69,72,88,94,123],"AVR,":[70],"based":[73,111],"initial":[76],"configuration":[77],"desired":[79],"goal":[80],"an":[82,163,171],"video,":[84],"model":[87,128],"expected":[89],"figure":[91],"out":[92],"what":[93],"sequence":[98],"steps":[100,150,204],"achieve":[102,187,236],"goal.":[104],"order":[106],"avoid":[108],"trivial":[109],"solutions":[110],"appearance":[113],"rather":[115],"than":[116],"reasoning,":[117,189,214],"second":[119],"called":[121,143],"AVR++":[122,227],"constructed,":[124],"answer":[130],"why":[131],"unselected":[133],"options":[134],"are":[135,181,274],"less":[136],"plausible.":[137],"introduce":[139],"new":[141],"dataset":[142,271],"VideoABC,":[144],"consists":[146],"46,354":[148],"unique":[149],"derived":[151],"11,827":[153],"videos,":[155],"formulated":[156],"as":[157],"13,526":[158],"questions":[161],"with":[162],"average":[164],"duration":[166],"51":[168],"seconds.":[169],"Through":[170],"adversarial":[172],"hard":[173],"hypothesis":[174],"mining":[175],"algorithm,":[176],"non-trivial":[177],"high-quality":[179],"problems":[180],"generated":[182],"efficiently":[183],"effectively.":[185],"To":[186],"human-level":[188],"propose":[191],"Hierarchical":[193],"Dual":[194],"Reasoning":[195],"Network":[196],"(HDRNet)":[197],"capture":[199],"dependencies":[202],"among":[203],"establish":[208],"benchmark":[210],"our":[216],"method":[217],"set":[218],"state-of-the-arts":[219],"AVR":[221],"(":[222,228],"\u223c":[223,229],"74":[224],"%)":[225],"45":[230],"%),":[231],"humans":[233],"can":[234],"easily":[235],"over":[237],"90%":[238],"accuracy":[239],"these":[241],"tasks.":[243],"large":[245],"performance":[246],"gap":[247],"reveals":[248],"limitation":[250],"current":[252],"video":[253],"understanding":[254],"models":[255],"temporal":[257],"leaves":[260],"substantial":[261],"room":[262],"future":[264],"research":[265],"problem.":[269],"Our":[270],"code":[273],"available":[275],"at":[276],"https://github.com/wl-zhao/VideoABC.":[277]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}