{"id":"https://openalex.org/W4413147693","doi":"https://doi.org/10.1109/cvpr52734.2025.02831","title":"Towards Visual Discrimination and Reasoning of Real-World Physical Dynamics: Physics-Grounded Anomaly Detection","display_name":"Towards Visual Discrimination and Reasoning of Real-World Physical Dynamics: Physics-Grounded Anomaly Detection","publication_year":2025,"publication_date":"2025-06-10","ids":{"openalex":"https://openalex.org/W4413147693","doi":"https://doi.org/10.1109/cvpr52734.2025.02831"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52734.2025.02831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.02831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5068682196","display_name":"Wenqiao Li","orcid":"https://orcid.org/0000-0002-6801-5327"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqiao Li","raw_affiliation_strings":["ShanghaiTech University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048202600","display_name":"Yaodong Gu","orcid":"https://orcid.org/0000-0003-2187-9440"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Gu","raw_affiliation_strings":["ShanghaiTech University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025922566","display_name":"Xintao Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xintao Chen","raw_affiliation_strings":["ShanghaiTech University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018803784","display_name":"Xiaohao Xu","orcid":"https://orcid.org/0000-0002-6750-9704"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaohao Xu","raw_affiliation_strings":["University of Michigan,Ann Arbor"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan,Ann Arbor","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087733640","display_name":"Ming Hu","orcid":"https://orcid.org/0000-0002-8209-0139"},"institutions":[{"id":"https://openalex.org/I2801239119","display_name":"Australian Regenerative Medicine Institute","ror":"https://ror.org/02qa5kg76","country_code":"AU","type":"facility","lineage":["https://openalex.org/I2801037857","https://openalex.org/I2801239119","https://openalex.org/I56590836"]},{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ming Hu","raw_affiliation_strings":["Monash University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Monash University","institution_ids":["https://openalex.org/I2801239119","https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000690549","display_name":"Xiaonan Huang","orcid":"https://orcid.org/0000-0002-2313-1551"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaonan Huang","raw_affiliation_strings":["University of Michigan,Ann Arbor"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan,Ann Arbor","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111513090","display_name":"Yingna Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingna Wu","raw_affiliation_strings":["ShanghaiTech University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"30409","last_page":"30419"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.998199999332428,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.998199999332428,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9753000140190125,"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/anomaly-detection","display_name":"Anomaly detection","score":0.7507461309432983},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.49533501267433167},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.48319900035858154},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44363126158714294},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33745551109313965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30155205726623535},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.29455652832984924},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.1121404767036438},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.07802054286003113}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7507461309432983},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.49533501267433167},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.48319900035858154},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44363126158714294},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33745551109313965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30155205726623535},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.29455652832984924},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.1121404767036438},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.07802054286003113}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52734.2025.02831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.02831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6200000047683716,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3120251014"],"abstract_inverted_index":{"Humans":[0],"detect":[1,185],"real-world":[2,49,108],"object":[3,109,139],"anomalies":[4,186],"by":[5],"perceiving,":[6],"interacting,":[7],"and":[8,39,54,87,115,117,134,154],"reasoning":[9,55],"based":[10],"on":[11,41],"object-conditioned":[12],"physical":[13,52,132,195],"knowledge.":[14],"The":[15,99],"long-term":[16],"goal":[17],"of":[18,94,121,178],"Industrial":[19],"Anomaly":[20,66,123,169],"Detection":[21,67],"(IAD)":[22],"is":[23,199],"to":[24,27,137,174,182],"enable":[25],"machines":[26],"autonomously":[28],"replicate":[29],"this":[30,60],"skill.":[31],"However,":[32],"current":[33],"IAD":[34],"algorithms":[35],"are":[36,56],"largely":[37],"developed":[38],"tested":[40],"static,":[42],"semantically":[43,96],"simple":[44],"datasets,":[45],"which":[46],"diverge":[47],"from":[48],"scenarios":[50],"where":[51],"understanding":[53],"essential.":[57],"To":[58],"bridge":[59],"gap,":[61],"we":[62,165],"introduce":[63,166],"the":[64,70,167,176],"Physics":[65,168],"(Phys-AD)":[68],"dataset,":[69],"first":[71],"large-scale,":[72],"real-world,":[73],"physics-grounded":[74,162],"video":[75,135],"dataset":[76,100],"for":[77,192],"industrial":[78],"anomaly":[79,144],"detection.":[80],"Collected":[81],"using":[82],"a":[83,91],"real":[84],"robot":[85,113],"arm":[86],"motor,":[88],"Phys-AD":[89,126],"provides":[90],"diverse":[92],"set":[93],"dynamic,":[95],"rich":[97],"scenarios.":[98],"includes":[101],"more":[102],"than":[103],"6400":[104],"videos":[105],"across":[106],"22":[107],"categories,":[110],"interacting":[111],"with":[112],"arms":[114],"motors,":[116],"exhibits":[118],"47":[119],"types":[120],"anomalies.":[122,163],"detection":[124,145],"in":[125,160],"requires":[127],"visual":[128],"reasoning,":[129],"combining":[130],"both":[131],"knowledge":[133],"content":[136],"determine":[138],"abnormality.":[140],"We":[141],"benchmark":[142],"state-of-the-art":[143],"methods":[146],"under":[147],"three":[148],"settings:":[149],"unsupervised":[150],"AD,":[151,153,156],"weakly-supervised":[152],"video-understanding":[155],"highlighting":[157],"their":[158,193],"limitations":[159],"handling":[161],"Additionally,":[164],"Explanation":[170],"(PAEval)":[171],"metric,":[172],"designed":[173],"assess":[175],"ability":[177],"visual-language":[179],"foundation":[180],"models":[181],"not":[183],"only":[184],"but":[187],"also":[188],"provide":[189],"accurate":[190],"explanations":[191],"underlying":[194],"causes.":[196],"Our":[197],"project":[198],"available":[200],"at":[201],"https://guyao2023.github.io/Phys-AD/.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
