{"id":"https://openalex.org/W2991383599","doi":"https://doi.org/10.1109/itsc.2019.8917187","title":"Attention Neural Baby Talk: Captioning of Risk Factors while Driving","display_name":"Attention Neural Baby Talk: Captioning of Risk Factors while Driving","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2991383599","doi":"https://doi.org/10.1109/itsc.2019.8917187","mag":"2991383599"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2019.8917187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"},"type":"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/A5100607820","display_name":"Yuki Mori","orcid":"https://orcid.org/0000-0002-8783-6382"},"institutions":[{"id":"https://openalex.org/I184937672","display_name":"Chubu University","ror":"https://ror.org/02sps0775","country_code":"JP","type":"education","lineage":["https://openalex.org/I184937672"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuki Mori","raw_affiliation_strings":["College of Engineering, Chubu University, Kasugai, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Chubu University, Kasugai, Japan","institution_ids":["https://openalex.org/I184937672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031685667","display_name":"Hiroshi Fukui","orcid":"https://orcid.org/0000-0002-7880-635X"},"institutions":[{"id":"https://openalex.org/I184937672","display_name":"Chubu University","ror":"https://ror.org/02sps0775","country_code":"JP","type":"education","lineage":["https://openalex.org/I184937672"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Fukui","raw_affiliation_strings":["College of Engineering, Chubu University, Kasugai, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Chubu University, Kasugai, Japan","institution_ids":["https://openalex.org/I184937672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089532441","display_name":"Tsubasa Hirakawa","orcid":"https://orcid.org/0000-0003-3851-5221"},"institutions":[{"id":"https://openalex.org/I184937672","display_name":"Chubu University","ror":"https://ror.org/02sps0775","country_code":"JP","type":"education","lineage":["https://openalex.org/I184937672"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsubasa Hirakawa","raw_affiliation_strings":["College of Engineering, Chubu University, Kasugai, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Chubu University, Kasugai, Japan","institution_ids":["https://openalex.org/I184937672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014196825","display_name":"Jo Nishiyama","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110524","display_name":"Nissan (Japan)","ror":"https://ror.org/01nks1c62","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210110524"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jo Nishiyama","raw_affiliation_strings":["Nissan Motors, Yokohama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nissan Motors, Yokohama, Japan","institution_ids":["https://openalex.org/I4210110524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062009349","display_name":"Takayoshi Yamashita","orcid":"https://orcid.org/0000-0003-2631-9856"},"institutions":[{"id":"https://openalex.org/I184937672","display_name":"Chubu University","ror":"https://ror.org/02sps0775","country_code":"JP","type":"education","lineage":["https://openalex.org/I184937672"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takayoshi Yamashita","raw_affiliation_strings":["College of Engineering, Chubu University, Kasugai, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Chubu University, Kasugai, Japan","institution_ids":["https://openalex.org/I184937672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011810133","display_name":"Hironobu Fujiyoshi","orcid":"https://orcid.org/0000-0001-7391-4725"},"institutions":[{"id":"https://openalex.org/I184937672","display_name":"Chubu University","ror":"https://ror.org/02sps0775","country_code":"JP","type":"education","lineage":["https://openalex.org/I184937672"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hironobu Fujiyoshi","raw_affiliation_strings":["College of Engineering, Chubu University, Kasugai, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Chubu University, Kasugai, Japan","institution_ids":["https://openalex.org/I184937672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5084,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.70341852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4317","last_page":"4322"},"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":0.9976999759674072,"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":0.9934999942779541,"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":0.9742560982704163},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7803821563720703},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5842204093933105},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5649293661117554},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.48610401153564453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47205764055252075},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4533599317073822},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3792896866798401}],"concepts":[{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.9742560982704163},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7803821563720703},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5842204093933105},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5649293661117554},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.48610401153564453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47205764055252075},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4533599317073822},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3792896866798401},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2019.8917187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1514535095","https://openalex.org/W1861492603","https://openalex.org/W1895577753","https://openalex.org/W2064675550","https://openalex.org/W2101105183","https://openalex.org/W2133459682","https://openalex.org/W2143612262","https://openalex.org/W2147800946","https://openalex.org/W2575842049","https://openalex.org/W2613718673","https://openalex.org/W2745461083","https://openalex.org/W2795151422","https://openalex.org/W6620707391","https://openalex.org/W6630875275","https://openalex.org/W6639102338","https://openalex.org/W6725207838","https://openalex.org/W6898505805"],"related_works":["https://openalex.org/W4210416330","https://openalex.org/W3164229987","https://openalex.org/W3215212336","https://openalex.org/W4290852288","https://openalex.org/W3217388757","https://openalex.org/W3122720459","https://openalex.org/W4298897568","https://openalex.org/W4289422896","https://openalex.org/W1938708284","https://openalex.org/W4380190185"],"abstract_inverted_index":{"Driving":[0],"has":[1],"various":[2],"risk":[3,69,106,136],"factors,":[4],"including":[5],"the":[6,30,67,86,118],"possibility":[7],"of":[8,51,88],"traffic":[9,23],"accidents":[10,24],"involving":[11],"pedestrians":[12],"and/or":[13],"oncoming":[14],"vehicles.":[15],"A":[16,35],"driver":[17,31],"assistance":[18,119],"system":[19],"that":[20,76,104,159],"can":[21,162],"prevent":[22],"must":[25],"be":[26],"able":[27],"to":[28,100,146],"get":[29],"'":[32],"s":[33],"attention.":[34],"practical":[36],"solution":[37],"for":[38,53,66,117,165],"attention":[39,132,167],"attraction":[40],"should":[41],"involve":[42],"caption":[43,54],"generation":[44,55],"from":[45],"in-vehicle":[46],"images.":[47],"Although":[48],"a":[49,98],"number":[50],"approaches":[52],"with":[56,154],"deep":[57],"neural":[58,126],"networks":[59],"have":[60],"been":[61],"proposed,":[62],"they":[63],"are":[64],"inadequate":[65],"specific":[68],"factors":[70,84,107,137],"while":[71],"driving.":[72,109],"The":[73,141],"reason":[74],"is":[75,123],"conventional":[77],"captioning":[78,115],"methods":[79],"focus":[80],"on":[81,125,135,149],"not":[82],"these":[83],"but":[85],"entirety":[87],"an":[89,113,131,139],"image.":[90,140],"To":[91],"tackle":[92],"this":[93],"problem,":[94],"we":[95,111],"first":[96],"created":[97,156],"dataset":[99,157],"attract":[101],"attention,":[102],"one":[103],"considers":[105],"during":[108],"Furthermore,":[110],"propose":[112],"image":[114],"method":[116,122,161],"system.":[120],"Our":[121],"based":[124],"baby":[127],"talk":[128],"and":[129],"introduces":[130],"mask":[133,142],"focusing":[134],"in":[138],"enables":[143],"our":[144,155,160],"model":[145],"generate":[147,163],"captions":[148,164],"each":[150],"factor.":[151],"Experimental":[152],"results":[153],"show":[158],"ideal":[166],"attraction.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
