{"id":"https://openalex.org/W2955738936","doi":"https://doi.org/10.1145/3331184.3331240","title":"Video Dialog via Multi-Grained Convolutional Self-Attention Context Networks","display_name":"Video Dialog via Multi-Grained Convolutional Self-Attention Context Networks","publication_year":2019,"publication_date":"2019-07-18","ids":{"openalex":"https://openalex.org/W2955738936","doi":"https://doi.org/10.1145/3331184.3331240","mag":"2955738936"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5051494566","display_name":"Weike Jin","orcid":"https://orcid.org/0000-0002-3132-5567"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weike Jin","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079260216","display_name":"Zhou Zhao","orcid":"https://orcid.org/0000-0001-6121-0384"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Zhao","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045029972","display_name":"Mao Gu","orcid":"https://orcid.org/0000-0002-3996-8399"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mao Gu","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050817770","display_name":"Jun Yu","orcid":"https://orcid.org/0000-0003-1922-7283"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yu","raw_affiliation_strings":["Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101485989","display_name":"Jun Xiao","orcid":"https://orcid.org/0000-0002-6142-9914"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xiao","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008666077","display_name":"Yueting Zhuang","orcid":"https://orcid.org/0000-0001-9017-2508"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueting Zhuang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.474,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":7,"citation_normalized_percentile":{"value":0.560633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":82,"max":84},"biblio":{"volume":null,"issue":null,"first_page":"465","last_page":"474"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Visual Question Answering in Images and Videos","score":0.9999,"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":"Visual Question Answering in Images and Videos","score":0.9999,"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/T10812","display_name":"Human Action Recognition and Pose Estimation","score":0.9923,"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/T10028","display_name":"Natural Language Processing","score":0.992,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/visual-question-answering","display_name":"Visual Question Answering","score":0.543544},{"id":"https://openalex.org/keywords/attention-mechanism","display_name":"Attention Mechanism","score":0.540879},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action Recognition","score":0.526565},{"id":"https://openalex.org/keywords/language-understanding","display_name":"Language Understanding","score":0.508891},{"id":"https://openalex.org/keywords/dialog-system","display_name":"Dialog system","score":0.48166692},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44919538}],"concepts":[{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.9193311},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8810132},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.63912743},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5996349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5048805},{"id":"https://openalex.org/C190954187","wikidata":"https://www.wikidata.org/wiki/Q5270587","display_name":"Dialog system","level":3,"score":0.48166692},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47561935},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44919538},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0717656},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":53,"referenced_works":["https://openalex.org/W1513901515","https://openalex.org/W1522301498","https://openalex.org/W1522734439","https://openalex.org/W1596841185","https://openalex.org/W1614298861","https://openalex.org/W1686810756","https://openalex.org/W1933349210","https://openalex.org/W2016053056","https://openalex.org/W2064675550","https://openalex.org/W2139501017","https://openalex.org/W2142192571","https://openalex.org/W2164290393","https://openalex.org/W2250539671","https://openalex.org/W2337601653","https://openalex.org/W2399880602","https://openalex.org/W2412393473","https://openalex.org/W2418993857","https://openalex.org/W2558809543","https://openalex.org/W2567070169","https://openalex.org/W2603266952","https://openalex.org/W2606982687","https://openalex.org/W2626778328","https://openalex.org/W2732016772","https://openalex.org/W2733628661","https://openalex.org/W2737435850","https://openalex.org/W2741903908","https://openalex.org/W2750998636","https://openalex.org/W2751185861","https://openalex.org/W2787266721","https://openalex.org/W2798786641","https://openalex.org/W2808124938","https://openalex.org/W2891416139","https://openalex.org/W2892245540","https://openalex.org/W2892347792","https://openalex.org/W2950761309","https://openalex.org/W2951619830","https://openalex.org/W2962707484","https://openalex.org/W2962749469","https://openalex.org/W2962883855","https://openalex.org/W2962949233","https://openalex.org/W2963176022","https://openalex.org/W2963187678","https://openalex.org/W2963643760","https://openalex.org/W2963781647","https://openalex.org/W2964004697","https://openalex.org/W2964138017","https://openalex.org/W2964199361","https://openalex.org/W2964259363","https://openalex.org/W3022187094","https://openalex.org/W3023993913","https://openalex.org/W3099768435","https://openalex.org/W4246999471","https://openalex.org/W4249013746"],"related_works":["https://openalex.org/W48079147","https://openalex.org/W3133893348","https://openalex.org/W2920931047","https://openalex.org/W2563921006","https://openalex.org/W2549666521","https://openalex.org/W2394821827","https://openalex.org/W2111550420","https://openalex.org/W1977846844","https://openalex.org/W1963944933","https://openalex.org/W1600043506"],"abstract_inverted_index":{"Video":[0],"dialog":[1,17,31,48,66,85,97,133],"is":[2],"a":[3,15,28,30,34,80,110,131,143],"new":[4,35,169],"and":[5,33,119,142,165,179],"challenging":[6],"task,":[7],"which":[8,92,123],"requires":[9],"an":[10],"AI":[11],"agent":[12,41],"to":[13,43,50,56,72,103,115,136,147,162],"maintain":[14],"meaningful":[16],"with":[18,47,96],"humans":[19],"in":[20],"natural":[21],"language":[22],"about":[23,37],"video":[24,45,60,73,84,94,145,151],"contents.":[25],"Specifically,":[26],"given":[27],"video,":[29,39],"history":[32,49,134],"question":[36,140],"the":[38,40,52,57,62,105,138,149,163,168,180,185],"has":[42],"combine":[44],"information":[46,95],"infer":[51],"answer.":[53],"And":[54],"due":[55],"complexity":[58],"of":[59,64,100,167,187],"information,":[61,107],"methods":[63],"image":[65],"might":[67],"be":[68],"ineffectively":[69],"applied":[70],"directly":[71],"dialog.":[74],"In":[75],"this":[76],"paper,":[77],"we":[78,108,129],"propose":[79],"novel":[81],"approach":[82],"for":[83],"called":[86],"multi-grained":[87,111,125],"convolutional":[88,112],"self-attention":[89,113],"context":[90],"network,":[91],"combines":[93],"history.":[98],"Instead":[99],"using":[101],"RNN":[102],"encode":[104],"sequence":[106,126],"design":[109,130],"mechanism":[114],"capture":[116],"both":[117],"element":[118],"segment":[120],"level":[121],"interactions":[122],"contain":[124],"information.":[127],"Then,":[128],"hierarchical":[132],"encoder":[135,146],"learn":[137,148],"context-aware":[139,150],"representation":[141],"two-stream":[144],"representation.":[152],"We":[153],"evaluate":[154],"our":[155,172,188],"method":[156,173],"on":[157],"two":[158],"large-scale":[159],"datasets.":[160],"Due":[161],"flexibility":[164],"parallelism":[166],"attention":[170],"mechanism,":[171],"can":[174],"achieve":[175],"higher":[176],"time":[177],"efficiency,":[178],"extensive":[181],"experiments":[182],"also":[183],"show":[184],"effectiveness":[186],"method.":[189]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2955738936","counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2024-11-30T14:02:06.607314","created_date":"2019-07-12"}