{"id":"https://openalex.org/W4386598210","doi":"https://doi.org/10.1109/icip49359.2023.10222900","title":"Unsupervised Anomaly Detection Using Variational Autoencoder with Gaussian Random Field Prior","display_name":"Unsupervised Anomaly Detection Using Variational Autoencoder with Gaussian Random Field Prior","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386598210","doi":"https://doi.org/10.1109/icip49359.2023.10222900"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-03774853v1/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072463405","display_name":"Hugo Gangloff","orcid":"https://orcid.org/0000-0001-5544-3800"},"institutions":[{"id":"https://openalex.org/I22248866","display_name":"AgroParisTech","ror":"https://ror.org/02kbmgc12","country_code":"FR","type":"education","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210088668","display_name":"Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement","ror":"https://ror.org/003vg9w96","country_code":"FR","type":"government","lineage":["https://openalex.org/I4210088668"]},{"id":"https://openalex.org/I4387153087","display_name":"Math\u00e9matiques et Informatique Appliqu\u00e9es","ror":"https://ror.org/00780az30","country_code":null,"type":"facility","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210088668","https://openalex.org/I4387153087"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hugo Gangloff","raw_affiliation_strings":["Université Paris-Saclay, AgroParisTech, INRAE, UMR MIA Paris-Saclay,Palaiseau,France,91120"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Université Paris-Saclay, AgroParisTech, INRAE, UMR MIA Paris-Saclay,Palaiseau,France,91120","institution_ids":["https://openalex.org/I22248866","https://openalex.org/I4210088668","https://openalex.org/I4387153087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042574715","display_name":"Minh\u2010Tan Pham","orcid":"https://orcid.org/0000-0003-0266-767X"},"institutions":[{"id":"https://openalex.org/I2802204017","display_name":"Universit\u00e9 de Bretagne Sud","ror":"https://ror.org/04ed7fw48","country_code":"FR","type":"education","lineage":["https://openalex.org/I2802204017"]},{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Minh-Tan Pham","raw_affiliation_strings":["IRISA, Université Bretagne Sud, UMR 6074,Vannes,France,56000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRISA, Université Bretagne Sud, UMR 6074,Vannes,France,56000","institution_ids":["https://openalex.org/I2802204017","https://openalex.org/I2802519937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108103248","display_name":"Luc Courtrai","orcid":null},"institutions":[{"id":"https://openalex.org/I2802204017","display_name":"Universit\u00e9 de Bretagne Sud","ror":"https://ror.org/04ed7fw48","country_code":"FR","type":"education","lineage":["https://openalex.org/I2802204017"]},{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Luc Courtrai","raw_affiliation_strings":["IRISA, Université Bretagne Sud, UMR 6074,Vannes,France,56000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRISA, Université Bretagne Sud, UMR 6074,Vannes,France,56000","institution_ids":["https://openalex.org/I2802204017","https://openalex.org/I2802519937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024171000","display_name":"S\u00e9bastien Lef\u00e8vre","orcid":"https://orcid.org/0000-0002-2384-8202"},"institutions":[{"id":"https://openalex.org/I2802204017","display_name":"Universit\u00e9 de Bretagne Sud","ror":"https://ror.org/04ed7fw48","country_code":"FR","type":"education","lineage":["https://openalex.org/I2802204017"]},{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S\u00e9bastien Lef\u00e8vre","raw_affiliation_strings":["IRISA, Université Bretagne Sud, UMR 6074,Vannes,France,56000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRISA, Université Bretagne Sud, UMR 6074,Vannes,France,56000","institution_ids":["https://openalex.org/I2802204017","https://openalex.org/I2802519937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0888,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.89616803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1620","last_page":"1624"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9872999787330627,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9797999858856201,"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/autoencoder","display_name":"Autoencoder","score":0.9142915606498718},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7004455327987671},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6612654328346252},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6508680582046509},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6332718133926392},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5775328278541565},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5367722511291504},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5022046566009521},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4429958164691925},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4148250222206116},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35687971115112305},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.23792764544487},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1637415587902069}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9142915606498718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7004455327987671},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6612654328346252},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6508680582046509},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6332718133926392},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5775328278541565},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5367722511291504},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5022046566009521},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4429958164691925},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4148250222206116},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35687971115112305},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.23792764544487},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1637415587902069},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip49359.2023.10222900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03774853v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03774853","pdf_url":"https://hal.science/hal-03774853v1/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP), Oct 2023, Kuala Lumpur, Malaysia. pp.1620-1624, ⟨10.1109/ICIP49359.2023.10222900⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03774853v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03774853","pdf_url":"https://hal.science/hal-03774853v1/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP), Oct 2023, Kuala Lumpur, Malaysia. pp.1620-1624, ⟨10.1109/ICIP49359.2023.10222900⟩","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337808","display_name":"European Maritime and Fisheries Fund","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386598210.pdf","grobid_xml":"https://content.openalex.org/works/W4386598210.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W143236119","https://openalex.org/W1959608418","https://openalex.org/W2049058890","https://openalex.org/W2133665775","https://openalex.org/W2753738274","https://openalex.org/W2927874482","https://openalex.org/W2948982773","https://openalex.org/W2965720422","https://openalex.org/W2979688502","https://openalex.org/W3034648032","https://openalex.org/W3089028909","https://openalex.org/W3107147681","https://openalex.org/W3109715690","https://openalex.org/W3118868805","https://openalex.org/W3129166376","https://openalex.org/W3161916718","https://openalex.org/W4287598221","https://openalex.org/W4287869122","https://openalex.org/W4292213097","https://openalex.org/W4295312788","https://openalex.org/W6640963894","https://openalex.org/W6744627333","https://openalex.org/W6765215732","https://openalex.org/W6766978945","https://openalex.org/W6771530079","https://openalex.org/W6785827220"],"related_works":["https://openalex.org/W3186512740","https://openalex.org/W3194885736","https://openalex.org/W4363671829","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"],"abstract_inverted_index":{"We":[0,39,87],"propose":[1],"a":[2,21,25,71],"new":[3],"model":[4,23],"of":[5,77,112],"Variational":[6],"Autoencoder":[7],"(VAE)":[8],"for":[9,58,97],"Anomaly":[10],"Detection":[11],"(AD)":[12],"with":[13,24,81],"improved":[14],"modeling":[15],"power.":[16],"More":[17],"precisely,":[18],"we":[19],"introduce":[20],"VAE":[22,37,51,73,80],"Gaussian":[26],"Random":[27],"Field":[28],"(GRF)":[29],"prior,":[30],"namely":[31],"VAE-GRF,":[32],"which":[33],"generalizes":[34],"the":[35,45,49,65,78,92,104,110],"classical":[36],"model.":[38],"show":[40],"that,":[41],"under":[42],"some":[43,53],"assumptions,":[44],"VAE-GRF":[46,66],"largely":[47],"outperforms":[48],"traditional":[50,79],"and":[52],"other":[54],"probabilistic":[55],"models":[56],"developed":[57],"AD.":[59],"Our":[60],"experimental":[61],"results":[62,90],"suggest":[63],"that":[64],"could":[67],"be":[68],"used":[69],"as":[70,100,102],"relevant":[72],"baseline":[74],"in":[75],"place":[76],"very":[82],"limited":[83],"additional":[84],"computational":[85],"cost.":[86],"provide":[88],"competitive":[89],"on":[91,103],"public":[93,105],"MVTec":[94],"benchmark":[95],"dataset":[96,107],"visual":[98],"inspection,":[99],"well":[101],"Livestock":[106],"dedicated":[108],"to":[109],"task":[111],"unsupervised":[113],"animal":[114],"detection":[115],"from":[116],"aerial":[117],"images.":[118]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}