乐胖代购免代理版

{"id":"https://openalex.org/W4226151600","doi":"https://doi.org/10.48550/arxiv.2203.16542","title":"Towards Multimodal Depth Estimation from Light Fields","display_name":"Towards Multimodal Depth Estimation from Light Fields","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226151600","doi":"https://doi.org/10.48550/arxiv.2203.16542"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2203.16542","pdf_url":null,"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":["Cornell University"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2203.16542","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090581174","display_name":"Titus Leistner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leistner, Titus","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059449357","display_name":"Radek Mackowiak","orcid":"https://orcid.org/0000-0003-1453-6917"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mackowiak, Radek","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090402048","display_name":"Lynton Ardizzone","orcid":"https://orcid.org/0000-0001-9777-1773"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ardizzone, Lynton","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110454166","display_name":"Ullrich K\u00f6the","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K\u00f6the, Ullrich","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5102921586","display_name":"Carsten Rother","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rother, Carsten","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":60},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9999,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9999,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9959,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9885,"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/light-field","display_name":"Light Field","score":0.726967},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.43101156},{"id":"https://openalex.org/keywords/depth-of-field","display_name":"Depth of field","score":0.41316357}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.81188273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.736904},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.726967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6576082},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5872038},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5276702},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.43101156},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4172207},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.41617113},{"id":"https://openalex.org/C183072630","wikidata":"https://www.wikidata.org/wiki/Q215932","display_name":"Depth of field","level":2,"score":0.41316357},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.34268606},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17052257},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13770154},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2203.16542","pdf_url":null,"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":["Cornell University"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.16542","pdf_url":"http://arxiv.org/pdf/2203.16542","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2203.16542","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2203.16542","pdf_url":null,"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":["Cornell University"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4229030109","https://openalex.org/W3174287734","https://openalex.org/W2784261531","https://openalex.org/W2771003565","https://openalex.org/W2756963361","https://openalex.org/W2580863105","https://openalex.org/W2143789285","https://openalex.org/W2131925136","https://openalex.org/W2053392299","https://openalex.org/W2050501141"],"abstract_inverted_index":{"Light":[0],"field":[1,5,18,105],"applications,":[2],"especially":[3],"light":[4,17,104],"rendering":[6,19],"and":[7,23,89,132,150],"depth":[8,27,79,106,130,161],"estimation,":[9],"developed":[10],"rapidly":[11],"in":[12],"recent":[13],"years.":[14],"While":[15],"state-of-the-art":[16],"methods":[20,29,48,136],"handle":[21],"semi-transparent":[22],"reflective":[24],"objects":[25,58,114],"well,":[26],"estimation":[28,162],"either":[30],"ignore":[31],"these":[32],"cases":[33],"altogether":[34],"or":[35],"only":[36,49,83],"deliver":[37],"a":[38,51,67,77,84,121,157],"weak":[39],"performance.":[40],"We":[41],"argue":[42],"that":[43,108,164],"this":[44,172],"is":[45],"due":[46],"current":[47],"considering":[50],"single":[52,68,85],"\"true\"":[53],"depth,":[54],"even":[55],"when":[56],"multiple":[57],"at":[59],"different":[60,92],"depths":[61,111],"contributed":[62],"to":[63,95,117,126,155],"the":[64,72,96,101,110,118,128,139,143,168],"color":[65,119],"of":[66,75,82,112,120,142,160,167,171],"pixel.":[69,122],"Based":[70],"on":[71],"simple":[73],"idea":[74],"outputting":[76],"posterior":[78],"distribution":[80],"instead":[81],"estimate,":[86],"we":[87,99,153],"develop":[88],"explore":[90],"several":[91],"deep-learning-based":[93],"approaches":[94],"problem.":[97],"Additionally,":[98],"contribute":[100,116],"first":[102],"\"multimodal":[103],"dataset\"":[107],"contains":[109],"all":[113,135],"which":[115],"This":[123],"allows":[124],"us":[125],"supervise":[127],"multimodal":[129],"prediction":[131],"also":[133],"validate":[134],"by":[137],"measuring":[138],"KL":[140],"divergence":[141],"predicted":[144],"posteriors.":[145],"With":[146],"our":[147],"thorough":[148],"analysis":[149],"novel":[151],"dataset,":[152],"aim":[154],"start":[156],"new":[158],"line":[159],"research":[163],"overcomes":[165],"some":[166],"long-standing":[169],"limitations":[170],"field.":[173]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4226151600","counts_by_year":[],"updated_date":"2024-12-16T05:31:16.258849","created_date":"2022-05-05"}