{"id":"https://openalex.org/W3161303840","doi":"https://doi.org/10.1109/icpr48806.2021.9412870","title":"Translating Adult's Focus of Attention to Elderly's","display_name":"Translating Adult's Focus of Attention to Elderly's","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3161303840","doi":"https://doi.org/10.1109/icpr48806.2021.9412870","mag":"3161303840"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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/A5091298991","display_name":"Onkar Krishna","orcid":"https://orcid.org/0000-0001-6227-7484"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Onkar Krishna","raw_affiliation_strings":["NTT Corporation"],"affiliations":[{"raw_affiliation_string":"NTT Corporation","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055847384","display_name":"Go Irie","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Go Irie","raw_affiliation_strings":["NTT Corporation"],"affiliations":[{"raw_affiliation_string":"NTT Corporation","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029349765","display_name":"Takahito Kawanishi","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahito Kawanishi","raw_affiliation_strings":["NTT Corporation"],"affiliations":[{"raw_affiliation_string":"NTT Corporation","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061465935","display_name":"Kunio Kashino","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kunio Kashino","raw_affiliation_strings":["NTT Corporation"],"affiliations":[{"raw_affiliation_string":"NTT Corporation","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069982192","display_name":"Kiyoharu Aizawa","orcid":"https://orcid.org/0000-0003-2146-6275"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiyoharu Aizawa","raw_affiliation_strings":["The University of Tokyo"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5091298991"],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":0.1921,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46728758,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"563","last_page":"568"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9997000098228455,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9997000098228455,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.8144211769104004},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.7755078673362732},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6837821006774902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6020225286483765},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5661487579345703},{"id":"https://openalex.org/keywords/scratch","display_name":"Scratch","score":0.5161136388778687},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5155734419822693},{"id":"https://openalex.org/keywords/elderly-people","display_name":"Elderly people","score":0.4344694912433624},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43216848373413086},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.43014830350875854},{"id":"https://openalex.org/keywords/gerontology","display_name":"Gerontology","score":0.0945064127445221},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08522042632102966}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8144211769104004},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.7755078673362732},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6837821006774902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6020225286483765},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5661487579345703},{"id":"https://openalex.org/C2781235140","wikidata":"https://www.wikidata.org/wiki/Q275131","display_name":"Scratch","level":2,"score":0.5161136388778687},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5155734419822693},{"id":"https://openalex.org/C3018697994","wikidata":"https://www.wikidata.org/wiki/Q191089","display_name":"Elderly people","level":2,"score":0.4344694912433624},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43216848373413086},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.43014830350875854},{"id":"https://openalex.org/C74909509","wikidata":"https://www.wikidata.org/wiki/Q10387","display_name":"Gerontology","level":1,"score":0.0945064127445221},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08522042632102966},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/icpr48806.2021.9412870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1954128991","https://openalex.org/W1964780333","https://openalex.org/W2007571554","https://openalex.org/W2030490728","https://openalex.org/W2049238726","https://openalex.org/W2054802006","https://openalex.org/W2099471712","https://openalex.org/W2110019070","https://openalex.org/W2128272608","https://openalex.org/W2135957164","https://openalex.org/W2169561119","https://openalex.org/W2339754110","https://openalex.org/W2558906385","https://openalex.org/W2617955417","https://openalex.org/W2725582423","https://openalex.org/W2798322248","https://openalex.org/W2891503551","https://openalex.org/W2904996308","https://openalex.org/W2963503775","https://openalex.org/W2963513865","https://openalex.org/W2963828885","https://openalex.org/W3099561715","https://openalex.org/W3101840568","https://openalex.org/W4320013936","https://openalex.org/W6680437723","https://openalex.org/W6684745935","https://openalex.org/W6703724764"],"related_works":["https://openalex.org/W2475116013","https://openalex.org/W2770018148","https://openalex.org/W2358308169","https://openalex.org/W2385135707","https://openalex.org/W2140315382","https://openalex.org/W2059109728","https://openalex.org/W322691623","https://openalex.org/W2494989134","https://openalex.org/W2509444723","https://openalex.org/W2133194887"],"abstract_inverted_index":{"Predicting":[0],"which":[1],"part":[2],"of":[3,32,40,75,99,132],"a":[4,86,96],"scene":[5],"elderly":[6,135],"people":[7],"would":[8],"pay":[9],"attention":[10,33],"to":[11,56,65,78,103,126],"could":[12],"be":[13],"useful":[14],"in":[15,59],"assisting":[16],"their":[17],"daily":[18],"activities,":[19],"such":[20],"as":[21],"driving,":[22],"walking,":[23],"and":[24,47,105,123,134],"searching.":[25],"Many":[26],"computational":[27],"models":[28],"for":[29,52],"predicting":[30,53],"focus":[31,42],"(FoA)":[34],"have":[35],"been":[36],"developed.":[37],"However,":[38],"most":[39],"them":[41],"on":[43,110,138],"mimicking":[44],"adult":[45,133],"FoA":[46,73,102],"do":[48],"not":[49],"work":[50],"well":[51],"elderly's,":[54],"due":[55],"age-related":[57],"changes":[58],"human":[60],"vision.":[61],"Is":[62],"it":[63],"possible":[64],"leverage":[66],"the":[67,128],"prediction":[68,147],"results":[69],"made":[70],"by":[71,118],"an":[72,107],"model":[74,115,144],"general":[76],"adults":[77],"accurately":[79],"predict":[80],"elderly's":[81,104],"FoA,":[82],"rather":[83],"than":[84],"training":[85],"new":[87],"network":[88],"from":[89],"scratch?":[90],"In":[91],"this":[92],"paper,":[93],"we":[94],"consider":[95],"novel":[97],"problem":[98],"translating":[100],"adult's":[101],"propose":[106],"approach":[108],"based":[109],"deep":[111],"image-to-image":[112],"translation.":[113],"Our":[114],"is":[116],"trained":[117],"minimizing":[119],"both":[120],"Kullback-Leibler":[121],"divergence":[122],"adversarial":[124],"loss":[125],"approximate":[127],"joint":[129],"probability":[130],"distribution":[131],"FoA.":[136],"Experiments":[137],"two":[139],"datasets":[140],"demonstrate":[141],"that":[142],"our":[143],"gives":[145],"remarkable":[146],"accuracy.":[148]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
