{"id":"https://openalex.org/W2904291752","doi":"https://doi.org/10.1609/aaai.v33i01.33016391","title":"Structured Two-Stream Attention Network for Video Question Answering","display_name":"Structured Two-Stream Attention Network for Video Question Answering","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2904291752","doi":"https://doi.org/10.1609/aaai.v33i01.33016391","mag":"2904291752"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33016391","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33016391","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4602/4480","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4602/4480","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066645546","display_name":"Lianli Gao","orcid":"https://orcid.org/0000-0002-2522-6394"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianli Gao","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087623065","display_name":"Pengpeng Zeng","orcid":"https://orcid.org/0000-0002-0672-3790"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengpeng Zeng","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036987388","display_name":"Jingkuan Song","orcid":"https://orcid.org/0000-0002-2549-8322"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingkuan Song","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017943466","display_name":"Yuan-Fang Li","orcid":"https://orcid.org/0000-0003-4651-2821"},"institutions":[{"id":"https://openalex.org/I2801239119","display_name":"Australian Regenerative Medicine Institute","ror":"https://ror.org/02qa5kg76","country_code":"AU","type":"facility","lineage":["https://openalex.org/I2801037857","https://openalex.org/I2801239119","https://openalex.org/I56590836"]},{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yuan-Fang Li","raw_affiliation_strings":["Monash University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Monash University","institution_ids":["https://openalex.org/I2801239119","https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068917997","display_name":"Wu Liu","orcid":"https://orcid.org/0000-0003-1633-7575"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]},{"id":"https://openalex.org/I72427458","display_name":"JDSU (United States)","ror":"https://ror.org/01a5v8x09","country_code":"US","type":"company","lineage":["https://openalex.org/I72427458"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Wu Liu","raw_affiliation_strings":["AI Research of JD.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Research of JD.com","institution_ids":["https://openalex.org/I72427458","https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017597537","display_name":"Tao Mei","orcid":"https://orcid.org/0000-0003-2497-7732"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]},{"id":"https://openalex.org/I72427458","display_name":"JDSU (United States)","ror":"https://ror.org/01a5v8x09","country_code":"US","type":"company","lineage":["https://openalex.org/I72427458"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Tao Mei","raw_affiliation_strings":["AI Research of JD.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Research of JD.com","institution_ids":["https://openalex.org/I72427458","https://openalex.org/I4210103986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052993469","display_name":"Heng Tao Shen","orcid":"https://orcid.org/0000-0002-2999-2088"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Tao Shen","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":72,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"01","first_page":"6391","last_page":"6398"},"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":0.9969000220298767,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9955999851226807,"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/computer-science","display_name":"Computer science","score":0.8518051505088806},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6451653242111206},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6288642883300781},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6052398085594177},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5841481685638428},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5142802596092224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44380664825439453},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4413136839866638},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4008476138114929},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3517445921897888}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8518051505088806},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6451653242111206},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6288642883300781},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6052398085594177},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5841481685638428},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5142802596092224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44380664825439453},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4413136839866638},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4008476138114929},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3517445921897888},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1609/aaai.v33i01.33016391","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33016391","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4602/4480","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:monash.edu:openaire/c8a1e6a1-1209-4ecd-a97f-3ca63250af08","is_oa":true,"landing_page_url":"https://research.monash.edu/en/publications/c8a1e6a1-1209-4ecd-a97f-3ca63250af08","pdf_url":null,"source":{"id":"https://openalex.org/S4306402625","display_name":"Monash University Research Portal (Monash University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I56590836","host_organization_name":"Monash University","host_organization_lineage":["https://openalex.org/I56590836"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Gao, L, Zeng, P, Song, J, Li, Y-F, Liu, W, Mei, T & Shen, H T 2019, Structured two\u00ad\u2010stream attention network for video question answering. in P Van Hentenryck & Z-H Zhou (eds), Proceedings of AAAI19-Thirty-Third AAAI conference on Artificial Intelligence. Proceedings of the AAAI Conference on Artificial Intelligence, no. 1, vol. 33, Association for the Advancement of Artificial Intelligence (AAAI), Palo Alto CA USA, pp. 6391-6398, AAAI Conference on Artificial Intelligence 2019, Honolulu, Hawaii, United States of America, 27/01/19. https://doi.org/10.1609/aaai.v33i01.33016391","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:ojs.aaai.org:article/4602","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33016391","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33016391","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4602/4480","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G3623292902","display_name":null,"funder_award_id":"61632007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6598207522","display_name":null,"funder_award_id":"ZYGX2014J063","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7095600686","display_name":null,"funder_award_id":"61602049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7413685474","display_name":null,"funder_award_id":"61502080","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8027008232","display_name":"\u534f\u540c\u6df1\u5ea6\u89c6\u9891\u7406\u89e3\u3001\u63cf\u8ff0\u548c\u89c6\u89c9\u95ee\u7b54\u7684\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61772116","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8167822162","display_name":null,"funder_award_id":"ZYGX2016J085","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2904291752.pdf","grobid_xml":"https://content.openalex.org/works/W2904291752.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1488163396","https://openalex.org/W1575833922","https://openalex.org/W1933349210","https://openalex.org/W2117539524","https://openalex.org/W2171810632","https://openalex.org/W2190067570","https://openalex.org/W2194775991","https://openalex.org/W2250539671","https://openalex.org/W2255577267","https://openalex.org/W2342350679","https://openalex.org/W2396147015","https://openalex.org/W2412400526","https://openalex.org/W2463565445","https://openalex.org/W2546696630","https://openalex.org/W2565656701","https://openalex.org/W2606982687","https://openalex.org/W2621571501","https://openalex.org/W2742570236","https://openalex.org/W2744822616","https://openalex.org/W2745132836","https://openalex.org/W2754927243","https://openalex.org/W2770883544","https://openalex.org/W2788527657","https://openalex.org/W2794578224","https://openalex.org/W2795782778","https://openalex.org/W2796001012","https://openalex.org/W2803686446","https://openalex.org/W2807941860","https://openalex.org/W2895902247","https://openalex.org/W2914699769","https://openalex.org/W2949197413","https://openalex.org/W2949218037","https://openalex.org/W2962949233","https://openalex.org/W2962958773","https://openalex.org/W2963066927","https://openalex.org/W2963150162","https://openalex.org/W2963176022","https://openalex.org/W2963293463","https://openalex.org/W2963383024","https://openalex.org/W2963466731","https://openalex.org/W2963560969","https://openalex.org/W2963656855","https://openalex.org/W2963890755","https://openalex.org/W2963954913","https://openalex.org/W2964345214","https://openalex.org/W3098019619","https://openalex.org/W6634232107","https://openalex.org/W6640773114","https://openalex.org/W6687483927","https://openalex.org/W6691431627","https://openalex.org/W6692647644","https://openalex.org/W6728881024","https://openalex.org/W6759204928","https://openalex.org/W6891744982"],"related_works":["https://openalex.org/W2805599431","https://openalex.org/W2379533788","https://openalex.org/W2361152157","https://openalex.org/W2351286801","https://openalex.org/W2389073067","https://openalex.org/W207304934","https://openalex.org/W4377703168","https://openalex.org/W15319282","https://openalex.org/W1560657467","https://openalex.org/W4205445283"],"abstract_inverted_index":{"To":[0],"date,":[1],"visual":[2,134],"question":[3,99],"answering":[4],"(VQA)":[5],"(i.e.,":[6,186,213],"image":[7,28,38],"QA":[8,29,45,81,173],"and":[9,19,41,55,121,142,159,164,198,204,226],"video":[10,24,44,61,80,141,160,172,192],"QA)":[11],"is":[12],"still":[13],"a":[14,47,60,84,93,104],"holy":[15],"grail":[16],"in":[17,114],"vision":[18],"language":[20,98],"understanding,":[21],"especially":[22],"for":[23,190,200],"QA.":[25],"Compared":[26],"with":[27,187,214],"that":[30,177],"focuses":[31,143],"primarily":[32],"on":[33,144,169,217],"understanding":[34],"the":[35,77,101,137,145,149,166,170,183,191,210,218],"associations":[36],"between":[37],"region-level":[39],"details":[40],"corresponding":[42],"questions,":[43],"requires":[46],"model":[48],"to":[49,66,91],"jointly":[50],"reason":[51],"across":[52],"both":[53],"spatial":[54],"long-range":[56],"temporal":[57,112],"structures":[58,113],"of":[59,79,103,139,157],"as":[62,64],"well":[63],"text":[65,123],"provide":[67],"an":[68],"accurate":[69],"answer.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74,108],"specifically":[75],"tackle":[76],"problem":[78],"by":[82,194,223],"proposing":[83],"Structured":[85],"Two-stream":[86],"Attention":[87],"network,":[88],"namely":[89],"STA,":[90],"answer":[92],"free-form":[94],"or":[95],"open-ended":[96],"natural":[97],"about":[100],"content":[102],"given":[105],"video.":[106],"First,":[107],"infer":[109],"rich":[110],"longrange":[111],"videos":[115],"using":[116],"our":[117,126,178],"structured":[118,127,150],"segment":[119],"component":[120,130,153],"encode":[122],"features.":[124],"Then,":[125],"two-stream":[128,151],"attention":[129],"simultaneously":[131],"localizes":[132],"important":[133],"instance,":[135],"reduces":[136],"influence":[138],"background":[140],"relevant":[146],"text.":[147],"Finally,":[148],"fusion":[152],"incorporates":[154],"different":[155],"segments":[156],"query":[158],"aware":[161],"context":[162],"representation":[163,189],"infers":[165],"answers.":[167],"Experiments":[168],"large-scale":[171],"dataset":[174],"TGIF-QA":[175],"show":[176],"proposed":[179],"method":[180],"significantly":[181],"surpasses":[182],"best":[184,211],"counterpart":[185],"one":[188],"input)":[193],"13.0%,":[195],"13.5%,":[196],"11.0%":[197],"0.3":[199],"Action,":[201,219],"Trans.,":[202,220],"TrameQA":[203,221],"Count":[205],"tasks.":[206],"It":[207],"also":[208],"outperforms":[209],"competitor":[212],"two":[215],"representations)":[216],"tasks":[222],"4.1%,":[224],"4.7%,":[225],"5.1%.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":12}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}