{"id":"https://openalex.org/W4413144726","doi":"https://doi.org/10.1109/cvpr52734.2025.00933","title":"Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties","display_name":"Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties","publication_year":2025,"publication_date":"2025-06-10","ids":{"openalex":"https://openalex.org/W4413144726","doi":"https://doi.org/10.1109/cvpr52734.2025.00933"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52734.2025.00933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.00933","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/A5089665295","display_name":"Bozhong Zheng","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":"Bozhong Zheng","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":null,"display_name":"Jinye Gan","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":"Jinye Gan","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/A5039161616","display_name":"Lu Fang","orcid":"https://orcid.org/0000-0002-8258-784X"},"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":"Fading Lu","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/A5103001450","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0002-8808-1380"},"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":"Xiang 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/A5102818908","display_name":"Na Ni","orcid":"https://orcid.org/0009-0007-2100-451X"},"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":"Na Ni","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/A5031429003","display_name":"Zheng Tian","orcid":"https://orcid.org/0000-0002-0477-9598"},"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":"Zheng Tian","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/A5053905081","display_name":"Xiaonan Huang","orcid":"https://orcid.org/0000-0001-8292-8862"},"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":"middle","author":{"id":"https://openalex.org/A5073559020","display_name":"Shenghua Gao","orcid":"https://orcid.org/0000-0001-9853-3793"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shenghua Gao","raw_affiliation_strings":["The University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"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":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9984","last_page":"9993"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.5461000204086304,"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":0.5461000204086304,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.5435000061988831,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5389289259910583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5235623717308044},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47546929121017456},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45234858989715576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.442516028881073},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.44025397300720215},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20295041799545288}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5389289259910583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5235623717308044},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47546929121017456},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45234858989715576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.442516028881073},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.44025397300720215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20295041799545288}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52734.2025.00933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.00933","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"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":{"Object":[0],"anomaly":[1,24,52,118,149],"detection":[2,53,135],"is":[3],"essential":[4],"for":[5,56,114,146],"industrial":[6,57,84,148],"quality":[7],"inspection,":[8],"yet":[9],"traditional":[10],"single-sensor":[11,128],"methods":[12],"face":[13],"critical":[14],"limitations.":[15],"They":[16],"fail":[17],"to":[18,32,98],"capture":[19],"the":[20,48,140],"wide":[21],"range":[22],"of":[23,142],"types,":[25],"as":[26],"single":[27],"sensors":[28],"are":[29,155],"often":[30],"constrained":[31],"either":[33],"external":[34,73],"appearance,":[35,74],"geometric":[36,75],"structure,":[37],"or":[38],"internal":[39,78],"properties.":[40],"To":[41],"overcome":[42],"these":[43,111],"challenges,":[44],"we":[45],"introduce":[46],"MulSen-AD,":[47],"first":[49],"high-resolution,":[50],"multi-sensor":[51,100,124,144],"dataset":[54,81,152],"tailored":[55],"applications.":[58],"MulSen-AD":[59,93],"unifies":[60],"data":[61,145],"from":[62],"RGB":[63],"cameras,":[64],"laser":[65],"scanners,":[66],"and":[67,77,102,153],"lock-in":[68],"infrared":[69],"thermography,":[70],"effectively":[71],"capturing":[72],"deformations,":[76],"defects.":[79],"The":[80,151],"spans":[82],"15":[83],"products":[85],"with":[86],"diverse,":[87],"real-world":[88],"anomalies.":[89],"We":[90],"also":[91],"present":[92],"Bench,":[94],"a":[95,105],"benchmark":[96],"designed":[97],"evaluate":[99],"methods,":[101],"propose":[103],"MulSen-TripleAD,":[104],"decision-level":[106],"fusion":[107,125],"algorithm":[108],"that":[109,123],"integrates":[110],"three":[112],"modalities":[113],"robust,":[115],"unsupervised":[116],"object":[117],"detection.":[119,150],"Our":[120],"experiments":[121],"demonstrate":[122],"substantially":[126],"outperforms":[127],"approaches,":[129],"achieving":[130],"96.1%":[131],"AUROC":[132],"in":[133],"object-level":[134],"accuracy.":[136],"These":[137],"results":[138],"highlight":[139],"importance":[141],"integrating":[143],"comprehensive":[147],"code":[154],"available":[156],"at":[157],"https://github.com/ZZZBBBZZZ/MulSen-ADtosupportfurtherresearch.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}