{"id":"https://openalex.org/W4414586202","doi":"https://doi.org/10.1002/cpe.70315","title":"Cross\u2010Scale Spatiotemporal Memory\u2010Augmented Network for Unsupervised Video Anomaly Detection","display_name":"Cross\u2010Scale Spatiotemporal Memory\u2010Augmented Network for Unsupervised Video Anomaly Detection","publication_year":2025,"publication_date":"2025-09-28","ids":{"openalex":"https://openalex.org/W4414586202","doi":"https://doi.org/10.1002/cpe.70315"},"language":"en","primary_location":{"id":"doi:10.1002/cpe.70315","is_oa":false,"landing_page_url":"https://doi.org/10.1002/cpe.70315","pdf_url":null,"source":{"id":"https://openalex.org/S11065456","display_name":"Concurrency and Computation Practice and Experience","issn_l":"1532-0626","issn":["1532-0626","1532-0634"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Concurrency and Computation: Practice and Experience","raw_type":"journal-article"},"type":"article","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/A5089770514","display_name":"Lihu Pan","orcid":"https://orcid.org/0000-0001-9530-694X"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lihu Pan","raw_affiliation_strings":["Department of Computing Science and Technology Taiyuan University of Science and Technology  Taiyuan China","Department of Computing Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing Science and Technology Taiyuan University of Science and Technology  Taiyuan China","institution_ids":["https://openalex.org/I46305995"]},{"raw_affiliation_string":"Department of Computing Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042887219","display_name":"Bingyi Li","orcid":null},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingyi Li","raw_affiliation_strings":["Department of Computing Science and Technology Taiyuan University of Science and Technology  Taiyuan China","Department of Computing Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China"],"raw_orcid":"https://orcid.org/0009-0003-8117-8264","affiliations":[{"raw_affiliation_string":"Department of Computing Science and Technology Taiyuan University of Science and Technology  Taiyuan China","institution_ids":["https://openalex.org/I46305995"]},{"raw_affiliation_string":"Department of Computing Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012748861","display_name":"Shouxin Peng","orcid":"https://orcid.org/0000-0002-1145-6498"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouxin Peng","raw_affiliation_strings":["Department of Computing Science and Technology Taiyuan University of Science and Technology  Taiyuan China","Department of Computing Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing Science and Technology Taiyuan University of Science and Technology  Taiyuan China","institution_ids":["https://openalex.org/I46305995"]},{"raw_affiliation_string":"Department of Computing Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062791391","display_name":"Rui Zhang","orcid":"https://orcid.org/0000-0002-7235-505X"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Zhang","raw_affiliation_strings":["Department of Computing Science and Technology Taiyuan University of Science and Technology  Taiyuan China","Department of Computing Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing Science and Technology Taiyuan University of Science and Technology  Taiyuan China","institution_ids":["https://openalex.org/I46305995"]},{"raw_affiliation_string":"Department of Computing Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001843974","display_name":"Linliang Zhang","orcid":"https://orcid.org/0009-0008-6732-4102"},"institutions":[{"id":"https://openalex.org/I4210167045","display_name":"Shanxi Transportation Research Institute","ror":"https://ror.org/05y7veh17","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210167045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linliang Zhang","raw_affiliation_strings":["Shanxi Province Intelligent Transportation Research Institute Co Ltd.  Taiyuan China","Shanxi Province Intelligent Transportation Research Institute Co Ltd., Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanxi Province Intelligent Transportation Research Institute Co Ltd.  Taiyuan China","institution_ids":["https://openalex.org/I4210167045"]},{"raw_affiliation_string":"Shanxi Province Intelligent Transportation Research Institute Co Ltd., Taiyuan, China","institution_ids":["https://openalex.org/I4210167045"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089770514"],"corresponding_institution_ids":["https://openalex.org/I46305995"],"apc_list":{"value":4740,"currency":"USD","value_usd":4740},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12772862,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":"25-26","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":1.0,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6796000003814697},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.650600016117096},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6348000168800354},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5853999853134155},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5584999918937683},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5371000170707703},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46480000019073486},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4235000014305115},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.3953000009059906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8772000074386597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6913999915122986},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6796000003814697},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.650600016117096},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6348000168800354},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5853999853134155},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5584999918937683},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5371000170707703},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46480000019073486},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4235000014305115},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.3953000009059906},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3856000006198883},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3849000036716461},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.35109999775886536},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.350600004196167},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.3441999852657318},{"id":"https://openalex.org/C101814296","wikidata":"https://www.wikidata.org/wiki/Q5439685","display_name":"Feature model","level":3,"score":0.325300008058548},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3149000108242035},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28760001063346863},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.2687000036239624},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.2614000141620636},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2605000138282776}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/cpe.70315","is_oa":false,"landing_page_url":"https://doi.org/10.1002/cpe.70315","pdf_url":null,"source":{"id":"https://openalex.org/S11065456","display_name":"Concurrency and Computation Practice and Experience","issn_l":"1532-0626","issn":["1532-0626","1532-0634"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Concurrency and Computation: Practice and Experience","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2122361470","https://openalex.org/W2138092272","https://openalex.org/W2186222003","https://openalex.org/W2341058432","https://openalex.org/W2777342313","https://openalex.org/W2921906393","https://openalex.org/W2963495494","https://openalex.org/W2963899855","https://openalex.org/W2987146532","https://openalex.org/W2987228832","https://openalex.org/W3044290927","https://openalex.org/W3044374951","https://openalex.org/W3082213779","https://openalex.org/W3151450043","https://openalex.org/W3190308053","https://openalex.org/W3190318906","https://openalex.org/W3199265481","https://openalex.org/W4200507080","https://openalex.org/W4225261310","https://openalex.org/W4281478450","https://openalex.org/W4316660910","https://openalex.org/W4319300089","https://openalex.org/W4379141192","https://openalex.org/W4379648877","https://openalex.org/W4386076578","https://openalex.org/W4390640588","https://openalex.org/W4392005642","https://openalex.org/W4402727956","https://openalex.org/W4402982670"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"Video":[1],"anomaly":[2,99],"detection":[3],"(VAD),":[4],"a":[5,52],"critical":[6],"task":[7],"in":[8,129],"intelligent":[9],"surveillance":[10],"systems,":[11],"faces":[12],"two":[13],"key":[14],"challenges:":[15],"Dynamic":[16],"behavioral":[17],"characterization":[18],"under":[19],"complex":[20],"scenarios":[21],"and":[22,41,78,116,132],"robust":[23],"spatiotemporal":[24,55,90,93],"context":[25],"modeling.":[26],"Existing":[27],"methods":[28],"face":[29],"limitations,":[30],"such":[31],"as":[32],"inadequate":[33],"cross\u2010scale":[34],"feature":[35,56,66,103],"fusion,":[36],"weak":[37],"channel\u2010wise":[38],"dependency":[39],"modeling,":[40],"sensitivity":[42],"to":[43,97],"background":[44],"noise.":[45],"To":[46],"address":[47],"these":[48],"issues,":[49],"we":[50],"propose":[51],"novel":[53],"multi\u2010scale":[54],"augmentation":[57],"framework.":[58],"Our":[59],"approach":[60],"introduces":[61],"three":[62],"core":[63],"innovations:":[64],"Hierarchical":[65],"pyramid":[67],"architecture":[68],"for":[69],"multi\u2010granularity":[70],"representation":[71],"learning,":[72],"capturing":[73],"both":[74,130],"local":[75],"motion":[76],"patterns":[77],"global":[79],"scene":[80],"semantics;":[81],"A":[82,92],"channel\u2010adaptive":[83],"attention":[84],"mechanism":[85],"that":[86,120],"dynamically":[87],"models":[88],"long\u2010range":[89],"dependencies;":[91],"Gaussian":[94],"difference":[95],"module":[96],"enhance":[98],"response":[100],"through":[101],"frequency\u2010domain":[102],"reconstruction,":[104],"effectively":[105],"suppressing":[106],"noise":[107],"interference.":[108],"Extensive":[109],"experiments":[110],"on":[111],"UCSD":[112],"Ped1/2,":[113],"CUHK":[114],"Avenue,":[115],"ShanghaiTech":[117],"benchmarks":[118],"demonstrate":[119],"our":[121],"method":[122],"achieves":[123],"state\u2010of\u2010the\u2010art":[124],"performance,":[125],"outperforming":[126],"existing":[127],"approaches":[128],"accuracy":[131],"robustness.":[133]},"counts_by_year":[],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}
