{"id":"https://openalex.org/W2904698318","doi":"https://doi.org/10.1609/aaai.v33i01.33018271","title":"Fully Convolutional Video Captioning with Coarse-to-Fine and Inherited Attention","display_name":"Fully Convolutional Video Captioning with Coarse-to-Fine and Inherited Attention","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2904698318","doi":"https://doi.org/10.1609/aaai.v33i01.33018271","mag":"2904698318"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33018271","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018271","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4839/4712","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/4839/4712","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061833697","display_name":"Kuncheng Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuncheng Fang","raw_affiliation_strings":["Fudan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101897650","display_name":"Lian Zhou","orcid":"https://orcid.org/0000-0001-8394-1698"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lian Zhou","raw_affiliation_strings":["Fudan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100625873","display_name":"Cheng Jin","orcid":"https://orcid.org/0000-0003-3063-1957"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Jin","raw_affiliation_strings":["Fudan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070073283","display_name":"Yuejie Zhang","orcid":"https://orcid.org/0000-0001-7993-7223"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuejie Zhang","raw_affiliation_strings":["Fudan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083989319","display_name":"Kangnian Weng","orcid":null},"institutions":[{"id":"https://openalex.org/I181679659","display_name":"Shanghai University of Finance and Economics","ror":"https://ror.org/00wtvfq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I181679659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kangnian Weng","raw_affiliation_strings":["Shanghai University of Finance and Economics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University of Finance and Economics","institution_ids":["https://openalex.org/I181679659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375722","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0001-7561-0143"},"institutions":[{"id":"https://openalex.org/I181679659","display_name":"Shanghai University of Finance and Economics","ror":"https://ror.org/00wtvfq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I181679659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["Shanghai University of Finance and Economics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University of Finance and Economics","institution_ids":["https://openalex.org/I181679659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075964389","display_name":"Weiguo Fan","orcid":"https://orcid.org/0000-0003-1272-5538"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weiguo Fan","raw_affiliation_strings":["University of Iowa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Iowa","institution_ids":["https://openalex.org/I126307644"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"01","first_page":"8271","last_page":"8278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9937000274658203,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9860000014305115,"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/closed-captioning","display_name":"Closed captioning","score":0.9397778511047363},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8901804089546204},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6453511118888855},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6156893968582153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5626954436302185},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5459014177322388},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.41254380345344543},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39130350947380066},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3738691210746765},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17649075388908386}],"concepts":[{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.9397778511047363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8901804089546204},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6453511118888855},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6156893968582153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5626954436302185},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5459014177322388},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.41254380345344543},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39130350947380066},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3738691210746765},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17649075388908386},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v33i01.33018271","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018271","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4839/4712","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:ojs.aaai.org:article/4839","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4839","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.v33i01.33018271","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018271","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4839/4712","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":[{"id":"https://metadata.un.org/sdg/4","score":0.8299999833106995,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G292109295","display_name":"\u878d\u5408\u591a\u6a21\u6001\u6587\u672c\u5173\u8054\u5206\u6790\u4e0e\u6316\u6398\u7684\u8de8\u5a92\u4f53\u793e\u4f1a\u56fe\u50cf\u68c0\u7d22\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61572140","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G361720454","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u624b\u7ed8\u8349\u56fe\u56fe\u50cf\u68c0\u7d22\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61672165","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7475107363","display_name":null,"funder_award_id":"16JC1420401","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321851","display_name":"Fudan University","ror":"https://ror.org/013q1eq08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2904698318.pdf","grobid_xml":"https://content.openalex.org/works/W2904698318.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W877909479","https://openalex.org/W1573040851","https://openalex.org/W1947481528","https://openalex.org/W1956340063","https://openalex.org/W1957740064","https://openalex.org/W1983364832","https://openalex.org/W2016053056","https://openalex.org/W2108598243","https://openalex.org/W2130942839","https://openalex.org/W2133459682","https://openalex.org/W2136036867","https://openalex.org/W2139501017","https://openalex.org/W2142900973","https://openalex.org/W2154652894","https://openalex.org/W2157331557","https://openalex.org/W2183341477","https://openalex.org/W2554906389","https://openalex.org/W2556388456","https://openalex.org/W2558834163","https://openalex.org/W2560346187","https://openalex.org/W2604141702","https://openalex.org/W2613904329","https://openalex.org/W2740388348","https://openalex.org/W2766375149","https://openalex.org/W2775506363","https://openalex.org/W2794504309","https://openalex.org/W2798725893","https://openalex.org/W2962681491","https://openalex.org/W2963177403","https://openalex.org/W2963686907","https://openalex.org/W2964253311","https://openalex.org/W4299341000","https://openalex.org/W4385245566","https://openalex.org/W6635091486","https://openalex.org/W6676297131","https://openalex.org/W6679436768","https://openalex.org/W6680375555","https://openalex.org/W6682631176","https://openalex.org/W6730061300","https://openalex.org/W6730380741","https://openalex.org/W6730438597","https://openalex.org/W6735368939","https://openalex.org/W6737778391","https://openalex.org/W6746003159","https://openalex.org/W6749578958","https://openalex.org/W6898505805"],"related_works":["https://openalex.org/W4210416330","https://openalex.org/W3088136942","https://openalex.org/W2949362007","https://openalex.org/W2775506363","https://openalex.org/W4290852288","https://openalex.org/W4388893791","https://openalex.org/W4283207562","https://openalex.org/W2963177403","https://openalex.org/W2330246314","https://openalex.org/W2949522393"],"abstract_inverted_index":{"Automatically":[0],"generating":[1],"natural":[2],"language":[3],"description":[4],"for":[5,22,35,68],"video":[6,23],"is":[7],"an":[8],"extremely":[9],"complicated":[10],"and":[11,56,77,85],"challenging":[12],"task.":[13],"To":[14],"tackle":[15],"the":[16,32,51,74,79,91,102,109],"obstacles":[17],"of":[18,93,114],"traditional":[19,75],"LSTM-based":[20,104],"model":[21,53,98],"captioning,":[24],"we":[25],"propose":[26],"a":[27,41],"novel":[28],"architecture":[29],"to":[30,50,90],"generate":[31,47],"optimal":[33],"descriptions":[34],"videos,":[36],"which":[37],"focuses":[38],"on":[39],"constructing":[40],"new":[42],"network":[43,82],"structure":[44],"that":[45,61],"can":[46,62],"sentences":[48],"superior":[49],"basic":[52,103],"with":[54,83,112],"LSTM,":[55,76],"establishing":[57],"special":[58],"attention":[59,87],"mechanisms":[60],"provide":[63],"more":[64],"useful":[65],"visual":[66],"information":[67],"caption":[69],"generation.":[70],"This":[71],"scheme":[72],"discards":[73],"exploits":[78],"fully":[80,94],"convolutional":[81,95],"coarse-to-fine":[84],"inherited":[86],"designed":[88],"according":[89],"characteristics":[92],"structure.":[96],"Our":[97],"cannot":[99],"only":[100],"outperform":[101],"model,":[105],"but":[106],"also":[107],"achieve":[108],"comparable":[110],"performance":[111],"those":[113],"state-of-the-art":[115],"methods":[116]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}