{"id":"https://openalex.org/W4408354615","doi":"https://doi.org/10.1109/icassp49660.2025.10890027","title":"Vision-text Enhancement Network For Weakly Supervised Video Anomaly Detection","display_name":"Vision-text Enhancement Network For Weakly Supervised Video Anomaly Detection","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408354615","doi":"https://doi.org/10.1109/icassp49660.2025.10890027"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5101702028","display_name":"Yiheng Chen","orcid":"https://orcid.org/0009-0002-8070-5280"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiheng Chen","raw_affiliation_strings":["Northeast Normal University,ChangChun,China"],"affiliations":[{"raw_affiliation_string":"Northeast Normal University,ChangChun,China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101675620","display_name":"Shuai Fu","orcid":"https://orcid.org/0000-0002-6558-0494"},"institutions":[{"id":"https://openalex.org/I4210087986","display_name":"Changchun Discovery Sciences (China)","ror":"https://ror.org/007e7b187","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Fu","raw_affiliation_strings":["Changchun Humanities and Sciences College,ChangChun,China"],"affiliations":[{"raw_affiliation_string":"Changchun Humanities and Sciences College,ChangChun,China","institution_ids":["https://openalex.org/I4210087986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102593136","display_name":"Niantong Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Niantong Qin","raw_affiliation_strings":["Northeast Normal University,ChangChun,China"],"affiliations":[{"raw_affiliation_string":"Northeast Normal University,ChangChun,China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101319150","display_name":"Xinning Du","orcid":"https://orcid.org/0009-0009-6942-4892"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinning Du","raw_affiliation_strings":["Northeast Normal University,ChangChun,China"],"affiliations":[{"raw_affiliation_string":"Northeast Normal University,ChangChun,China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102635158","display_name":"Jianping Ren","orcid":"https://orcid.org/0009-0005-8160-3675"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Ren","raw_affiliation_strings":["Northeast Normal University,ChangChun,China"],"affiliations":[{"raw_affiliation_string":"Northeast Normal University,ChangChun,China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106941407","display_name":"Shuhua Liu","orcid":"https://orcid.org/0009-0008-5577-6515"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhua Liu","raw_affiliation_strings":["Northeast Normal University,ChangChun,China"],"affiliations":[{"raw_affiliation_string":"Northeast Normal University,ChangChun,China","institution_ids":["https://openalex.org/I184983240"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101702028"],"corresponding_institution_ids":["https://openalex.org/I184983240"],"apc_list":null,"apc_paid":null,"fwci":1.319,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77995929,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9977999925613403,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973999857902527,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9818000197410583,"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":0.6754993796348572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6712229251861572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5086753964424133},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4550337791442871},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32090944051742554},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07369115948677063}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6754993796348572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6712229251861572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5086753964424133},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4550337791442871},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32090944051742554},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07369115948677063},{"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":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.5,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W2341058432","https://openalex.org/W2963795951","https://openalex.org/W2988098865","https://openalex.org/W3101133846","https://openalex.org/W3136793533","https://openalex.org/W4210416950","https://openalex.org/W4283811196","https://openalex.org/W4285606530","https://openalex.org/W4312480274","https://openalex.org/W4312686942","https://openalex.org/W4312723609","https://openalex.org/W4313194685","https://openalex.org/W4382464562","https://openalex.org/W4386071707","https://openalex.org/W4386076087","https://openalex.org/W4386076149","https://openalex.org/W4386597062","https://openalex.org/W4393153999"],"related_works":["https://openalex.org/W2806741695","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"],"abstract_inverted_index":{"The":[0],"recent":[1],"vision-language":[2],"pre-training":[3],"model":[4,40,102],"ImageBind":[5,101],"has":[6],"shown":[7],"significant":[8],"success":[9],"in":[10,27,74,189],"a":[11,38,62],"wide":[12],"range":[13],"of":[14,20,129,185],"visual":[15,28,55,113,149],"tasks,":[16],"demonstrating":[17],"excellent":[18],"ability":[19],"joint":[21],"embedding":[22],"space":[23],"across":[24,167],"different":[25],"modalities":[26],"or":[29],"textual":[30,72],"representation.":[31],"A":[32],"worthwhile":[33],"problem":[34],"is":[35],"utilizing":[36],"such":[37,68],"strong":[39],"for":[41,151],"weakly":[42],"supervised":[43],"video":[44,64,109,143,165,173],"anomaly":[45,59,79,144,174],"detection":[46,60],"(WSVAD).":[47],"Most":[48],"previous":[49],"works":[50],"only":[51],"use":[52,128],"the":[53,71,75,78,89,99,117,156,159,163,168,183,186],"single":[54],"modality,":[56],"and":[57,77,133,141,180,192],"define":[58],"as":[61],"simple":[63],"classification":[65],"task.":[66],"However,":[67],"solutions":[69],"ignore":[70],"information":[73],"dataset":[76,169],"event":[80],"localization.":[81],"To":[82],"address":[83],"these":[84],"issues,":[85],"this":[86],"paper":[87],"proposes":[88],"vision-text":[90],"enhancement":[91,120],"network":[92],"(VTENet).":[93],"For":[94,108],"text":[95,160],"features,":[96,110],"it":[97,111],"adopts":[98],"frozen":[100],"directly":[103],"without":[104],"any":[105],"fine-tuning":[106],"process.":[107],"enhances":[112],"feature":[114],"representation":[115],"through":[116],"proposed":[118,187],"temporal":[119],"graph":[121],"convolution":[122],"module":[123],"(TGC).":[124],"VTENet":[125],"makes":[126],"full":[127],"associations":[130],"between":[131],"vision":[132],"text,":[134],"contains":[135],"two":[136],"branches":[137],"to":[138,170],"complete":[139,171],"coarse-grained":[140,152,191],"fine-grained":[142,172,193],"detection.":[145,175],"One":[146],"branch":[147],"utilizes":[148],"features":[150,161,166],"binary":[153],"classification,":[154],"while":[155],"other":[157],"compares":[158],"with":[162],"entire":[164],"Extensive":[176],"experiments":[177],"on":[178],"XD-Violence":[179],"UCF-Crime":[181],"demonstrate":[182],"superiority":[184],"approach":[188],"both":[190],"tasks.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
