{"id":"https://openalex.org/W2749708282","doi":"https://doi.org/10.1145/3123266.3123366","title":"Fluency-Guided Cross-Lingual Image Captioning","display_name":"Fluency-Guided Cross-Lingual Image Captioning","publication_year":2017,"publication_date":"2017-10-20","ids":{"openalex":"https://openalex.org/W2749708282","doi":"https://doi.org/10.1145/3123266.3123366","mag":"2749708282"},"language":"en","primary_location":{"id":"doi:10.1145/3123266.3123366","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123266.3123366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM international conference on Multimedia","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1708.04390","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Weiyu Lan","orcid":null},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiyu Lan","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060270456","display_name":"Xirong Li","orcid":"https://orcid.org/0000-0002-0220-8310"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xirong Li","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008417257","display_name":"Jianfeng Dong","orcid":"https://orcid.org/0000-0001-5244-3274"},"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":"Jianfeng Dong","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7055,"has_fulltext":false,"cited_by_count":97,"citation_normalized_percentile":{"value":0.94438778,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1549","last_page":"1557"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9914000034332275,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9829999804496765,"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":0.9933580160140991},{"id":"https://openalex.org/keywords/fluency","display_name":"Fluency","score":0.938897967338562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8264819383621216},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6355512142181396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5778632164001465},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4946727454662323},{"id":"https://openalex.org/keywords/first-language","display_name":"First language","score":0.47279518842697144},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4354991614818573},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4336886703968048},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.20172983407974243}],"concepts":[{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.9933580160140991},{"id":"https://openalex.org/C2777413886","wikidata":"https://www.wikidata.org/wiki/Q3276013","display_name":"Fluency","level":2,"score":0.938897967338562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8264819383621216},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6355512142181396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5778632164001465},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4946727454662323},{"id":"https://openalex.org/C171041071","wikidata":"https://www.wikidata.org/wiki/Q36870","display_name":"First language","level":2,"score":0.47279518842697144},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4354991614818573},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4336886703968048},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.20172983407974243},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3123266.3123366","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123266.3123366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM international conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1708.04390","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1708.04390","pdf_url":"https://arxiv.org/pdf/1708.04390","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1708.04390","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1708.04390","pdf_url":"https://arxiv.org/pdf/1708.04390","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8600000143051147}],"awards":[{"id":"https://openalex.org/G1390901083","display_name":null,"funder_award_id":"61672523","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W68733909","https://openalex.org/W167016754","https://openalex.org/W218853445","https://openalex.org/W569521333","https://openalex.org/W1488163396","https://openalex.org/W1489525520","https://openalex.org/W1514535095","https://openalex.org/W1527575280","https://openalex.org/W1562458182","https://openalex.org/W1861492603","https://openalex.org/W1895577753","https://openalex.org/W1897761818","https://openalex.org/W1905882502","https://openalex.org/W1931639407","https://openalex.org/W1956340063","https://openalex.org/W2064675550","https://openalex.org/W2101105183","https://openalex.org/W2115752676","https://openalex.org/W2123024445","https://openalex.org/W2133459682","https://openalex.org/W2149557440","https://openalex.org/W2154652894","https://openalex.org/W2185175083","https://openalex.org/W2194775991","https://openalex.org/W2247931231","https://openalex.org/W2250384498","https://openalex.org/W2250861254","https://openalex.org/W2282219577","https://openalex.org/W2339652278","https://openalex.org/W2397895280","https://openalex.org/W2406165856","https://openalex.org/W2418300416","https://openalex.org/W2509490957","https://openalex.org/W2524558894","https://openalex.org/W2525778437","https://openalex.org/W2526273376","https://openalex.org/W2950178297","https://openalex.org/W2950477994","https://openalex.org/W2962706528","https://openalex.org/W2963084599","https://openalex.org/W2963383024","https://openalex.org/W2963991316","https://openalex.org/W2964018924","https://openalex.org/W2964121744","https://openalex.org/W2964308564","https://openalex.org/W3000226596","https://openalex.org/W3005285208"],"related_works":["https://openalex.org/W4210416330","https://openalex.org/W2775506363","https://openalex.org/W3088136942","https://openalex.org/W4290852288","https://openalex.org/W2949362007","https://openalex.org/W4283207562","https://openalex.org/W2963177403","https://openalex.org/W2330246314","https://openalex.org/W2949522393","https://openalex.org/W2749708282"],"abstract_inverted_index":{"Image":[0],"captioning":[1,23,38,62,114],"has":[2],"so":[3],"far":[4],"been":[5,34],"explored":[6],"mostly":[7],"in":[8,15,39,74,80,139],"English,":[9],"as":[10],"most":[11],"available":[12],"datasets":[13,126],"are":[14],"this":[16,81],"language.":[17,29,119,151],"However,":[18],"the":[19,70,75,95,98,105,117,136,149],"application":[20],"of":[21,72,97,135],"image":[22,37,113],"should":[24],"not":[25],"be":[26],"restricted":[27],"by":[28],"Only":[30],"few":[31],"studies":[32],"have":[33],"conducted":[35],"for":[36,52,116],"a":[40,50,53,60,83,90],"cross-lingual":[41,61],"setting.":[42],"Different":[43],"from":[44,65,148],"these":[45],"works":[46],"that":[47],"manually":[48,145],"build":[49],"dataset":[51],"target":[54,118,150],"language,":[55],"we":[56,78],"aim":[57],"to":[58,92,103,109],"learn":[59],"model":[63,115],"fully":[64],"machine-translated":[66],"sentences.":[67],"To":[68],"conquer":[69],"lack":[71],"fluency":[73,96,107,132],"translated":[76],"sentences,":[77],"propose":[79],"paper":[82],"fluency-guided":[84],"learning":[85],"framework.":[86],"The":[87],"framework":[88],"comprises":[89],"module":[91,102],"automatically":[93],"estimate":[94],"sentences":[99,147],"and":[100,133],"another":[101],"utilize":[104],"estimated":[106],"scores":[108],"effectively":[110],"train":[111],"an":[112],"As":[120],"experiments":[121],"on":[122],"two":[123],"bilingual":[124],"(English-Chinese)":[125],"show,":[127],"our":[128],"approach":[129],"improves":[130],"both":[131],"relevance":[134],"generated":[137],"captions":[138],"Chinese,":[140],"but":[141],"without":[142],"using":[143],"any":[144],"written":[146]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":4}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}