{"id":"https://openalex.org/W2952620298","doi":"https://doi.org/10.1109/tip.2019.2922062","title":"Long-Form Video Question Answering via Dynamic Hierarchical Reinforced Networks","display_name":"Long-Form Video Question Answering via Dynamic Hierarchical Reinforced Networks","publication_year":2019,"publication_date":"2019-06-17","ids":{"openalex":"https://openalex.org/W2952620298","doi":"https://doi.org/10.1109/tip.2019.2922062","mag":"2952620298","pmid":"https://pubmed.ncbi.nlm.nih.gov/31217111"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2922062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2922062","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/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":["College of Computer Science, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6121-0384","affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382805","display_name":"Zhu Zhang","orcid":"https://orcid.org/0000-0003-4195-5770"},"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":"Zhu Zhang","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4195-5770","affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021056315","display_name":"Shuwen Xiao","orcid":"https://orcid.org/0000-0002-2876-6601"},"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":"Shuwen Xiao","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2876-6601","affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056691992","display_name":"Zhenxin Xiao","orcid":"https://orcid.org/0000-0003-2762-5097"},"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":"Zhenxin Xiao","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101427643","display_name":"Xiaohui Yan","orcid":"https://orcid.org/0000-0003-0795-9321"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Yan","raw_affiliation_strings":["Poisson Lab, Huawei Technologies, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Poisson Lab, Huawei Technologies, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"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":["College of Computer Science, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1922-7283","affiliations":[{"raw_affiliation_string":"College of Computer Science, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037942269","display_name":"Deng Cai","orcid":"https://orcid.org/0000-0001-9817-4065"},"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":"Deng Cai","raw_affiliation_strings":["State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD&CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004882141","display_name":"Fei Wu","orcid":"https://orcid.org/0000-0003-2139-8807"},"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":"Fei Wu","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8783,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.9296908,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"28","issue":"12","first_page":"5939","last_page":"5952"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9968000054359436,"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":0.9948999881744385,"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":0.8591846227645874},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.8366450071334839},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.72968590259552},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6487134695053101},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6311190724372864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5409532189369202},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.519929826259613},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5022251605987549},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.49072182178497314},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4289509057998657},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4268660843372345},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4139511287212372},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21560236811637878}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8591846227645874},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.8366450071334839},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.72968590259552},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6487134695053101},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6311190724372864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5409532189369202},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.519929826259613},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5022251605987549},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.49072182178497314},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4289509057998657},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4268660843372345},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4139511287212372},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21560236811637878},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":2,"locations":[{"id":"doi:10.1109/tip.2019.2922062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2922062","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:31217111","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31217111","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5799999833106995}],"awards":[{"id":"https://openalex.org/G1022706131","display_name":null,"funder_award_id":"61602405","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6605900608","display_name":null,"funder_award_id":"61751209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7528510259","display_name":"\u57fa\u4e8e\u5927\u89c4\u6a21\u8de8\u5a92\u4f53\u77e5\u8bc6\u7f51\u7edc\u7684\u590d\u6742\u89c6\u9891\u95ee\u7b54\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61836002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"},{"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":75,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1522734439","https://openalex.org/W1575833922","https://openalex.org/W1586939924","https://openalex.org/W1614298861","https://openalex.org/W1633494854","https://openalex.org/W1686810756","https://openalex.org/W1933349210","https://openalex.org/W1972702299","https://openalex.org/W2064675550","https://openalex.org/W2067847022","https://openalex.org/W2068994826","https://openalex.org/W2136480620","https://openalex.org/W2242818861","https://openalex.org/W2412393473","https://openalex.org/W2463565445","https://openalex.org/W2497173630","https://openalex.org/W2536013558","https://openalex.org/W2553418567","https://openalex.org/W2606982687","https://openalex.org/W2607151106","https://openalex.org/W2735159761","https://openalex.org/W2737435850","https://openalex.org/W2741903908","https://openalex.org/W2745461083","https://openalex.org/W2747623286","https://openalex.org/W2751525844","https://openalex.org/W2765716052","https://openalex.org/W2766690867","https://openalex.org/W2768661419","https://openalex.org/W2799813539","https://openalex.org/W2808181286","https://openalex.org/W2808203533","https://openalex.org/W2918888132","https://openalex.org/W2949218037","https://openalex.org/W2951619830","https://openalex.org/W2962749469","https://openalex.org/W2962938145","https://openalex.org/W2962949233","https://openalex.org/W2963084599","https://openalex.org/W2963167310","https://openalex.org/W2963191264","https://openalex.org/W2963403868","https://openalex.org/W2963466731","https://openalex.org/W2963843052","https://openalex.org/W2963890755","https://openalex.org/W2963916161","https://openalex.org/W2963954913","https://openalex.org/W2964121744","https://openalex.org/W2964138343","https://openalex.org/W2964352247","https://openalex.org/W3023993913","https://openalex.org/W3099768435","https://openalex.org/W4235505822","https://openalex.org/W4249013746","https://openalex.org/W4298033729","https://openalex.org/W4298392976","https://openalex.org/W4385245566","https://openalex.org/W6618246250","https://openalex.org/W6631190155","https://openalex.org/W6634232107","https://openalex.org/W6636510571","https://openalex.org/W6637373629","https://openalex.org/W6682086655","https://openalex.org/W6690026940","https://openalex.org/W6715144786","https://openalex.org/W6719057275","https://openalex.org/W6722524744","https://openalex.org/W6728439319","https://openalex.org/W6729948091","https://openalex.org/W6730666313","https://openalex.org/W6739901393","https://openalex.org/W6748579893","https://openalex.org/W6750665087","https://openalex.org/W6780493881"],"related_works":["https://openalex.org/W2787518671","https://openalex.org/W3031223029","https://openalex.org/W3167704465","https://openalex.org/W2129146436","https://openalex.org/W2032507829","https://openalex.org/W3157284875","https://openalex.org/W2147241511","https://openalex.org/W2259406085","https://openalex.org/W2099715052","https://openalex.org/W4226247999"],"abstract_inverted_index":{"Open-ended":[0],"long-form":[1,23,51,66,147,157],"video":[2,24,39,52,67,148],"question":[3,40,68,149],"answering":[4,150],"is":[5],"a":[6,16,28,59,76,81,88,113,119,134,145],"challenging":[7],"task":[8],"in":[9],"visual":[10],"information":[11],"retrieval,":[12],"which":[13,70],"automatically":[14],"generates":[15],"natural":[17,140],"language":[18,141],"answer":[19],"from":[20,50],"the":[21,32,44,107,130,156,165],"referenced":[22],"contents":[25],"according":[26,105],"to":[27,43,100,106,138],"given":[29,108],"question.":[30,109],"However,":[31],"existing":[33],"works":[34],"mainly":[35],"focus":[36],"on":[37,155],"short-form":[38,162],"answering,":[41,69],"due":[42],"lack":[45],"of":[46,167],"modeling":[47],"semantic":[48,103,125],"representations":[49,104],"contents.":[53],"In":[54],"this":[55],"paper,":[56],"we":[57,85,128],"introduce":[58],"dynamic":[60,77,90],"hierarchical":[61,78,135],"reinforced":[62,82,131],"network":[63,95,117],"for":[64,123],"open-ended":[65],"employs":[71],"an":[72],"encoder-decoder":[73],"architecture":[74],"with":[75,96,118,133],"encoder":[79],"and":[80,159],"decoder.":[83],"Concretely,":[84],"first":[86],"propose":[87],"frame-level":[89,102],"long-short":[91],"term":[92],"memory":[93],"(LSTM)":[94],"binary":[97],"segmentation":[98],"gate":[99,122],"learn":[101],"We":[110,143],"then":[111],"develop":[112],"segment-level":[114,124],"highway":[115,121],"LSTM":[116],"question-aware":[120],"modeling.":[126],"Furthermore,":[127],"devise":[129],"decoder":[132],"attention":[136],"mechanism":[137],"generate":[139],"answers.":[142],"construct":[144],"large-scale":[146],"dataset.":[151],"The":[152],"extensive":[153],"experiments":[154],"dataset":[158,163],"another":[160],"public":[161],"show":[164],"effectiveness":[166],"our":[168],"method.":[169]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}