{"id":"https://openalex.org/W3093910428","doi":"https://doi.org/10.1145/3340531.3412081","title":"Event-Driven Network for Cross-Modal Retrieval","display_name":"Event-Driven Network for Cross-Modal Retrieval","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3093910428","doi":"https://doi.org/10.1145/3340531.3412081","mag":"3093910428"},"language":"en","primary_location":{"id":"doi:10.1145/3340531.3412081","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3412081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information & Knowledge Management","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/A5101581937","display_name":"Zhixiong Zeng","orcid":"https://orcid.org/0000-0002-3822-1074"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhixiong Zeng","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101687663","display_name":"Nan Xu","orcid":"https://orcid.org/0000-0002-9794-7262"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Xu","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035983004","display_name":"Wenji Mao","orcid":"https://orcid.org/0000-0003-2323-5091"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenji Mao","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101581937"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"],"apc_list":null,"apc_paid":null,"fwci":0.1954,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.50522619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2297","last_page":"2300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9965999722480774,"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/computer-science","display_name":"Computer science","score":0.8243904113769531},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6868389248847961},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6758548617362976},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6363544464111328},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6114760041236877},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6010628938674927},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5370418429374695},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5058019161224365},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4983944892883301},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4771116077899933},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4588925838470459},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4427492022514343},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4186980724334717},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3496331572532654}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8243904113769531},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6868389248847961},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6758548617362976},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6363544464111328},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6114760041236877},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6010628938674927},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5370418429374695},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5058019161224365},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4983944892883301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4771116077899933},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4588925838470459},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4427492022514343},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4186980724334717},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3496331572532654},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3340531.3412081","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3412081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1975969088","https://openalex.org/W2013535308","https://openalex.org/W2025341678","https://openalex.org/W2194775991","https://openalex.org/W2296438605","https://openalex.org/W2308864855","https://openalex.org/W2517585385","https://openalex.org/W2765440071","https://openalex.org/W2905169750","https://openalex.org/W2963055199","https://openalex.org/W2963658765","https://openalex.org/W2967957126","https://openalex.org/W4249992252"],"related_works":["https://openalex.org/W1972035260","https://openalex.org/W2375480909","https://openalex.org/W2393699422","https://openalex.org/W2168037874","https://openalex.org/W2387268739","https://openalex.org/W2135728080","https://openalex.org/W2379546782","https://openalex.org/W2534443799","https://openalex.org/W2148968119","https://openalex.org/W2391460410"],"abstract_inverted_index":{"Despite":[0],"extensive":[1],"research":[2,73],"on":[3,9,87,91,163],"cross-modal":[4,76,102,118,194],"retrieval,":[5],"existing":[6,179],"methods":[7,36,181],"focus":[8,86],"the":[10,20,41,68,80,88,111,132,150,164,178,191],"matching":[11,119],"between":[12,43,56],"image":[13,153],"objects":[14],"and":[15,30,46,54,94,96,117,128,154,182],"text":[16,45,50,93,155,187],"words.":[17],"However,":[18],"for":[19,101],"large":[21],"amount":[22],"of":[23,67,107,131,152],"social":[24],"media,":[25],"such":[26],"as":[27,58,60],"news":[28,165],"reports":[29,166],"online":[31],"posts":[32],"with":[33],"images,":[34],"previous":[35],"are":[37],"insufficient":[38],"to":[39,75,148,189],"model":[40,176],"associations":[42],"long":[44,49,92,138],"image.":[47],"As":[48],"contains":[51],"multiple":[52],"entities":[53],"relationships":[55],"them,":[57],"well":[59],"complex":[61],"events":[62,134],"sharing":[63],"a":[64,137,144,159],"common":[65,145],"scenario":[66],"text,":[69],"it":[70],"poses":[71],"unique":[72],"challenge":[74],"retrieval.":[77,103,195],"To":[78],"tackle":[79],"challenge,":[81],"in":[82,167,193],"this":[83],"paper,":[84],"we":[85],"retrieval":[89],"task":[90],"image,":[95],"propose":[97],"an":[98],"event-driven":[99],"network":[100,115,120],"Our":[104],"approach":[105],"consists":[106],"two":[108],"modules,":[109],"namely":[110],"contextual":[112],"neural":[113],"tensor":[114],"(CNTN)":[116],"(CMMN).":[121],"The":[122,140,170],"CNTN":[123],"module":[124,142],"captures":[125],"both":[126],"event-level":[127],"text-level":[129],"semantics":[130],"sequential":[133],"extracted":[135],"from":[136],"text.":[139],"CMMN":[141],"learns":[143],"representation":[146],"space":[147],"compute":[149],"similarity":[151],"modalities.":[156],"We":[157],"construct":[158],"multimodal":[160],"dataset":[161],"based":[162],"People's":[168],"Daily.":[169],"experimental":[171],"results":[172],"demonstrate":[173],"that":[174],"our":[175],"outperforms":[177],"state-of-the-art":[180],"can":[183],"provide":[184],"semantic":[185],"richer":[186],"representations":[188],"enhance":[190],"effectiveness":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}