{"id":"https://openalex.org/W4410770650","doi":"https://doi.org/10.1109/tpami.2025.3574322","title":"Compositional Physical Reasoning of Objects and Events From Videos","display_name":"Compositional Physical Reasoning of Objects and Events From Videos","publication_year":2025,"publication_date":"2025-05-27","ids":{"openalex":"https://openalex.org/W4410770650","doi":"https://doi.org/10.1109/tpami.2025.3574322","pmid":"https://pubmed.ncbi.nlm.nih.gov/40424100"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3574322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3574322","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","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/A5064272059","display_name":"Zhenfang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenfang Chen","raw_affiliation_strings":["MIT-IBM Watson AI Lab, Cambridge, MA, USA","MIT-IBM Watson AI lab, USA"],"raw_orcid":"https://orcid.org/0009-0005-1619-932X","affiliations":[{"raw_affiliation_string":"MIT-IBM Watson AI Lab, Cambridge, MA, USA","institution_ids":["https://openalex.org/I1341412227"]},{"raw_affiliation_string":"MIT-IBM Watson AI lab, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026359194","display_name":"Shilong Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shilong Dong","raw_affiliation_strings":["New York University, New York, NY, USA","New York University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University, New York, NY, USA","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"New York University, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032574264","display_name":"Kexin Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kexin Yi","raw_affiliation_strings":["Harvard University, Cambridge, MA, USA","Harvard University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University, Cambridge, MA, USA","institution_ids":["https://openalex.org/I2801851002"]},{"raw_affiliation_string":"Harvard University, USA","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340050","display_name":"Yunzhu Li","orcid":"https://orcid.org/0000-0002-1111-2150"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunzhu Li","raw_affiliation_strings":["UIUC, Champaign, IL, USA","UIUC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UIUC, Champaign, IL, USA","institution_ids":[]},{"raw_affiliation_string":"UIUC, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022382771","display_name":"Mingyu Ding","orcid":"https://orcid.org/0000-0001-6556-8359"},"institutions":[{"id":"https://openalex.org/I134446601","display_name":"Berkeley College","ror":"https://ror.org/02xewxa75","country_code":"US","type":"education","lineage":["https://openalex.org/I134446601"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingyu Ding","raw_affiliation_strings":["UC Berkeley, Berkeley, CA, USA","UC Berkeley, USA"],"raw_orcid":"https://orcid.org/0000-0001-6556-8359","affiliations":[{"raw_affiliation_string":"UC Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"]},{"raw_affiliation_string":"UC Berkeley, USA","institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085020955","display_name":"Antonio Torralba","orcid":"https://orcid.org/0000-0003-4915-0256"},"institutions":[{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Antonio Torralba","raw_affiliation_strings":["MIT, Cambridge, MA, USA","MIT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210110987"]},{"raw_affiliation_string":"MIT, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071093940","display_name":"Joshua B. Tenenbaum","orcid":"https://orcid.org/0000-0002-1925-2035"},"institutions":[{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua B. Tenenbaum","raw_affiliation_strings":["MIT, Cambridge, MA, USA","MIT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210110987"]},{"raw_affiliation_string":"MIT, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040877128","display_name":"Chuang Gan","orcid":"https://orcid.org/0000-0003-4031-5886"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chuang Gan","raw_affiliation_strings":["MIT-IBM Watson AI Lab, Cambridge, MA, USA","MIT-IBM Watson AI lab, USA"],"raw_orcid":"https://orcid.org/0000-0003-4031-5886","affiliations":[{"raw_affiliation_string":"MIT-IBM Watson AI Lab, Cambridge, MA, USA","institution_ids":["https://openalex.org/I1341412227"]},{"raw_affiliation_string":"MIT-IBM Watson AI lab, USA","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.584,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.9544349,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"47","issue":"9","first_page":"7689","last_page":"7703"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9761000275611877,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9761000275611877,"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/T13382","display_name":"Robotics and Automated Systems","score":0.9484999775886536,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11439","display_name":"Video Analysis and Summarization","score":0.929099977016449,"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/computer-science","display_name":"Computer science","score":0.6484817862510681},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5610055327415466},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40572741627693176},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33591973781585693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6484817862510681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5610055327415466},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40572741627693176},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33591973781585693}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2025.3574322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3574322","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:40424100","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40424100","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1524926235","https://openalex.org/W1933349210","https://openalex.org/W2059100041","https://openalex.org/W2064675550","https://openalex.org/W2105482032","https://openalex.org/W2139590055","https://openalex.org/W2141461755","https://openalex.org/W2194775991","https://openalex.org/W2507135045","https://openalex.org/W2561715562","https://openalex.org/W2606982687","https://openalex.org/W2765716052","https://openalex.org/W2963150697","https://openalex.org/W2963518342","https://openalex.org/W2963521717","https://openalex.org/W2963541336","https://openalex.org/W2963890755","https://openalex.org/W2964105864","https://openalex.org/W2964322347","https://openalex.org/W2967246123","https://openalex.org/W3034636873","https://openalex.org/W3034730770","https://openalex.org/W3034985765","https://openalex.org/W3113227982","https://openalex.org/W3187433838","https://openalex.org/W4313186260","https://openalex.org/W4385245566","https://openalex.org/W4385573602","https://openalex.org/W4386247688","https://openalex.org/W4410770650","https://openalex.org/W6620707391","https://openalex.org/W6686008357","https://openalex.org/W6697152211","https://openalex.org/W6717697761","https://openalex.org/W6726873649","https://openalex.org/W6729508183","https://openalex.org/W6730420370","https://openalex.org/W6748270630","https://openalex.org/W6748320467","https://openalex.org/W6748747269","https://openalex.org/W6754944153","https://openalex.org/W6755722174","https://openalex.org/W6757902542","https://openalex.org/W6758420182","https://openalex.org/W6766895606","https://openalex.org/W6767840687","https://openalex.org/W6768276658","https://openalex.org/W6768853884","https://openalex.org/W6769024994","https://openalex.org/W6774033856","https://openalex.org/W6792405717","https://openalex.org/W6797260645","https://openalex.org/W6798359198","https://openalex.org/W6860041859"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Understanding":[0],"and":[1,23,33,58,60,92,115,117,157,185,190,204,243,257,268,275,281,284,299],"reasoning":[2,144,153,311],"about":[3,187],"objects'":[4,40,56,211],"physical":[5,53,68,143,192,212,255,277,310],"properties":[6,20,54,193,213,256],"in":[7,15,312],"the":[8,39,46,66,73,108,128,205,226,249,253,295,300],"natural":[9,207],"world":[10],"is":[11,100],"a":[12,80,123,136,175,234,244,304],"fundamental":[13],"challenge":[14,48],"artificial":[16],"intelligence.":[17],"While":[18],"some":[19],"like":[21],"colors":[22],"shapes":[24],"can":[25,266],"be":[26],"directly":[27],"observed,":[28],"others,":[29],"such":[30,112],"as":[31,113],"mass":[32,114],"electric":[34],"charge,":[35,116],"are":[36],"hidden":[37,52,110,165,191,276],"from":[38,55,131,194],"visual":[41],"appearance.":[42],"This":[43],"paper":[44],"addresses":[45],"unique":[47],"of":[49,83,89,125,146],"inferring":[50],"these":[51,164,286],"motion":[57],"interactions":[59,228],"predicting":[61],"corresponding":[62],"dynamics":[63],"based":[64,102,251],"on":[65,103,155,252],"inferred":[67],"properties.":[69],"We":[70,149,172,293],"first":[71],"introduce":[72],"Compositional":[74],"Physical":[75,179],"Reasoning":[76],"(ComPhy)":[77],"dataset.":[78],"For":[79],"given":[81],"set":[82,124],"objects,":[84],"ComPhy":[85,156,297],"includes":[86],"limited":[87,160],"videos":[88,130,203],"them":[90],"moving":[91],"interacting":[93],"under":[94],"different":[95,147],"initial":[96],"conditions.":[97],"The":[98],"model":[99,302],"evaluated":[101],"its":[104],"capability":[105],"to":[106,121,139,162,169,209,224,237,247,289],"unravel":[107],"compositional":[109],"properties,":[111,166,278],"use":[118],"this":[119],"knowledge":[120],"answer":[122,290],"questions.":[126,292],"Besides":[127],"synthetic":[129],"simulators,":[132],"we":[133],"also":[134,173,232],"collect":[135],"real-world":[137],"dataset":[138,298],"show":[140],"further":[141],"test":[142],"abilities":[145],"models.":[148],"evaluate":[150],"state-of-the-art":[151],"video":[152],"models":[154],"reveal":[158],"their":[159],"ability":[161],"capture":[163],"which":[167],"leads":[168],"inferior":[170],"performance.":[171],"propose":[174],"novel":[176],"neuro-symbolic":[177],"framework,":[178],"Concept":[180],"Reasoner":[181],"(PCR),":[182],"that":[183],"learns":[184],"reasons":[186],"both":[188],"visible":[189,274],"question":[195],"answering.":[196],"Leveraging":[197],"an":[198],"object-centric":[199],"representation,":[200],"PCR":[201,231,261,301],"utilizes":[202],"associated":[206],"language":[208],"infer":[210],"without":[214],"dense":[215],"object":[216],"annotations.":[217],"Furthermore,":[218],"It":[219,265],"incorporates":[220],"property-aware":[221],"graph":[222],"networks":[223],"approximate":[225],"dynamic":[227],"among":[229],"objects.":[230],"employs":[233],"semantic":[235,241],"parser":[236],"convert":[238],"questions":[239],"into":[240],"programs,":[242],"program":[245],"executor":[246],"execute":[248],"programs":[250],"learned":[254],"dynamics.":[258],"After":[259],"training,":[260],"demonstrates":[262],"remarkable":[263],"capabilities.":[264],"detect":[267],"associate":[269],"objects":[270],"across":[271],"frames,":[272],"ground":[273],"make":[279],"future":[280],"counterfactual":[282],"predictions,":[283],"utilize":[285],"extracted":[287],"representations":[288],"challenging":[291],"hope":[294],"proposed":[296],"present":[303],"promising":[305],"step":[306],"towards":[307],"more":[308],"comprehensive":[309],"AI":[313],"systems.":[314]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
