{"id":"https://openalex.org/W4402980255","doi":"https://doi.org/10.1109/icme57554.2024.10688367","title":"Fusion of Short-term and Long-term Attention for Video Mirror Detection","display_name":"Fusion of Short-term and Long-term Attention for Video Mirror Detection","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402980255","doi":"https://doi.org/10.1109/icme57554.2024.10688367"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10688367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10688367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","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/A5101619740","display_name":"Mingchen Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Mingchen Xu","raw_affiliation_strings":["Cardiff University,School of Computer Science and Informatics,Cardiff,United Kingdom"],"affiliations":[{"raw_affiliation_string":"Cardiff University,School of Computer Science and Informatics,Cardiff,United Kingdom","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013863229","display_name":"Jing Wu","orcid":"https://orcid.org/0000-0001-5123-9861"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jing Wu","raw_affiliation_strings":["Cardiff University,School of Computer Science and Informatics,Cardiff,United Kingdom"],"affiliations":[{"raw_affiliation_string":"Cardiff University,School of Computer Science and Informatics,Cardiff,United Kingdom","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067850699","display_name":"Yu\u2010Kun Lai","orcid":"https://orcid.org/0000-0002-2094-5680"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yukun Lai","raw_affiliation_strings":["Cardiff University,School of Computer Science and Informatics,Cardiff,United Kingdom"],"affiliations":[{"raw_affiliation_string":"Cardiff University,School of Computer Science and Informatics,Cardiff,United Kingdom","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068175770","display_name":"Ze Ji","orcid":"https://orcid.org/0000-0002-8968-9902"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ze Ji","raw_affiliation_strings":["Cardiff University,School of Engineering,Cardiff,United Kingdom"],"affiliations":[{"raw_affiliation_string":"Cardiff University,School of Engineering,Cardiff,United Kingdom","institution_ids":["https://openalex.org/I79510175"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101619740"],"corresponding_institution_ids":["https://openalex.org/I79510175"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16825689,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9976000189781189,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9976000189781189,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9911999702453613,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/term","display_name":"Term (time)","score":0.8534338474273682},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6066877841949463},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.46138647198677063},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39911866188049316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38198769092559814},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10071960091590881}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.8534338474273682},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6066877841949463},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.46138647198677063},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39911866188049316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38198769092559814},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10071960091590881},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme57554.2024.10688367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10688367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},{"id":"pmh:oai:https://orca.cardiff.ac.uk:168925","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W2133665775","https://openalex.org/W2507296351","https://openalex.org/W2594519801","https://openalex.org/W2737258237","https://openalex.org/W2795587607","https://openalex.org/W2811180360","https://openalex.org/W2883389863","https://openalex.org/W2889986507","https://openalex.org/W2964339842","https://openalex.org/W3034592098","https://openalex.org/W3035618398","https://openalex.org/W3115479333","https://openalex.org/W3174969937","https://openalex.org/W3175028288","https://openalex.org/W3175852502","https://openalex.org/W3179324864","https://openalex.org/W3211490618","https://openalex.org/W4282922170","https://openalex.org/W4309131501","https://openalex.org/W4312836786","https://openalex.org/W4382240899","https://openalex.org/W4382469027","https://openalex.org/W4385708500","https://openalex.org/W4386076350","https://openalex.org/W4390871874","https://openalex.org/W6746052068","https://openalex.org/W6759534164"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","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":{"Techniques":[0],"for":[1,79],"detecting":[2],"mirrors":[3,18,24,89],"from":[4,19,25,43,95,104,122],"static":[5],"images":[6],"have":[7],"witnessed":[8],"rapid":[9],"growth":[10],"in":[11],"recent":[12],"years.":[13],"However,":[14,56],"these":[15],"methods":[16],"detect":[17,88],"single":[20],"input":[21],"images.":[22],"Detecting":[23],"video":[26],"requires":[27],"further":[28],"consideration":[29],"of":[30,119],"temporal":[31],"consistency":[32],"between":[33],"frames.":[34],"We":[35],"observe":[36,76],"that":[37,59,128],"humans":[38],"can":[39],"recognize":[40],"mirror":[41,65],"candidates,":[42],"just":[44],"one":[45],"or":[46,69],"two":[47],"frames,":[48],"based":[49],"on":[50,134],"their":[51],"appearance":[52,92],"(e.g.":[53],"shape,":[54],"color).":[55],"to":[57,75,87],"ensure":[58],"the":[60,111,135],"candidate":[61],"is":[62],"indeed":[63],"a":[64,67,70,80,96,105,115],"(not":[66],"picture":[68],"window),":[71],"we":[72,113],"often":[73],"need":[74],"more":[77],"frames":[78,121],"global":[81],"view.":[82],"This":[83],"observation":[84],"motivates":[85],"us":[86],"by":[90],"fusing":[91],"features":[93],"extracted":[94,103],"short-term":[97],"attention":[98,107],"module":[99],"and":[100],"context":[101],"information":[102],"long-term":[106],"module.":[108],"To":[109],"evaluate":[110],"performance,":[112],"build":[114],"challenging":[116],"benchmark":[117,136],"dataset":[118],"19,255":[120],"281":[123],"videos.":[124],"Experimental":[125],"results":[126],"demonstrate":[127],"our":[129],"method":[130],"achieves":[131],"state-of-the-art":[132],"performance":[133],"dataset.":[137]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
