{"id":"https://openalex.org/W2949362021","doi":"https://doi.org/10.1109/tip.2019.2923323","title":"A Framework for Learning Depth From a Flexible Subset of Dense and Sparse Light Field Views","display_name":"A Framework for Learning Depth From a Flexible Subset of Dense and Sparse Light Field Views","publication_year":2019,"publication_date":"2019-06-21","ids":{"openalex":"https://openalex.org/W2949362021","doi":"https://doi.org/10.1109/tip.2019.2923323","mag":"2949362021","pmid":"https://pubmed.ncbi.nlm.nih.gov/31247553"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2923323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2923323","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-02155040","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007965169","display_name":"Jinglei Shi","orcid":"https://orcid.org/0000-0003-2926-0415"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Centre Inria de l'Universit\u00e9 de Rennes","ror":"https://ror.org/04040yw90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Jinglei Shi","raw_affiliation_strings":["INRIA (Institut National de Recherche en Informatique et en Automatique) Rennes Bretagne Atlantique, Rennes, France","Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)"],"raw_orcid":"https://orcid.org/0000-0003-2926-0415","affiliations":[{"raw_affiliation_string":"INRIA (Institut National de Recherche en Informatique et en Automatique) Rennes Bretagne Atlantique, Rennes, France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054909749","display_name":"Xiaoran Jiang","orcid":"https://orcid.org/0000-0003-3030-4227"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Centre Inria de l'Universit\u00e9 de Rennes","ror":"https://ror.org/04040yw90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Xiaoran Jiang","raw_affiliation_strings":["INRIA (Institut National de Recherche en Informatique et en Automatique) Rennes Bretagne Atlantique, Rennes, France","Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)"],"raw_orcid":"https://orcid.org/0000-0003-3030-4227","affiliations":[{"raw_affiliation_string":"INRIA (Institut National de Recherche en Informatique et en Automatique) Rennes Bretagne Atlantique, Rennes, France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010468033","display_name":"Christine Guillemot","orcid":"https://orcid.org/0000-0003-1604-967X"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Centre Inria de l'Universit\u00e9 de Rennes","ror":"https://ror.org/04040yw90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christine Guillemot","raw_affiliation_strings":["INRIA (Institut National de Recherche en Informatique et en Automatique) Rennes Bretagne Atlantique, Rennes, France","Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)"],"raw_orcid":"https://orcid.org/0000-0003-1604-967X","affiliations":[{"raw_affiliation_string":"INRIA (Institut National de Recherche en Informatique et en Automatique) Rennes Bretagne Atlantique, Rennes, France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007965169"],"corresponding_institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"],"apc_list":null,"apc_paid":null,"fwci":7.5522,"has_fulltext":false,"cited_by_count":158,"citation_normalized_percentile":{"value":0.97814543,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"28","issue":"12","first_page":"5867","last_page":"5880"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.996999979019165,"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/image-warping","display_name":"Image warping","score":0.751306414604187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7428810000419617},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7212307453155518},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.5728977918624878},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5196582078933716},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5064660310745239},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5027225017547607},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4800185263156891},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4795122444629669},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4657156467437744},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4548549950122833},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23258784413337708},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21719947457313538}],"concepts":[{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.751306414604187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7428810000419617},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7212307453155518},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.5728977918624878},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5196582078933716},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5064660310745239},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5027225017547607},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4800185263156891},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4795122444629669},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4657156467437744},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4548549950122833},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23258784413337708},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21719947457313538},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"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":[{"id":"doi:10.1109/tip.2019.2923323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2923323","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:31247553","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31247553","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:HAL:hal-02155040v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02155040","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Image Processing, 2019, pp.5867-5880. ⟨10.1109/TIP.2019.2923323⟩","raw_type":"Journal articles"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-02155040v1","is_oa":true,"landing_page_url":"https://hal.science/hal-02155040","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Image Processing, 2019, pp.5867-5880. ⟨10.1109/TIP.2019.2923323⟩","raw_type":"Journal articles"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.41999998688697815,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G6077179641","display_name":"Computational Light fields IMaging","funder_award_id":"694122","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"}],"funders":[{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W764651262","https://openalex.org/W1522301498","https://openalex.org/W1585668122","https://openalex.org/W1914596733","https://openalex.org/W2009250577","https://openalex.org/W2042687553","https://openalex.org/W2064586097","https://openalex.org/W2099712288","https://openalex.org/W2104974755","https://openalex.org/W2117430149","https://openalex.org/W2142714012","https://openalex.org/W2144041313","https://openalex.org/W2148343513","https://openalex.org/W2214868166","https://openalex.org/W2259424905","https://openalex.org/W2289524987","https://openalex.org/W2345834824","https://openalex.org/W2402144811","https://openalex.org/W2548527721","https://openalex.org/W2551052086","https://openalex.org/W2560474170","https://openalex.org/W2586480386","https://openalex.org/W2586620788","https://openalex.org/W2591697814","https://openalex.org/W2604231069","https://openalex.org/W2607041014","https://openalex.org/W2737842117","https://openalex.org/W2751965900","https://openalex.org/W2758175304","https://openalex.org/W2778641202","https://openalex.org/W2794220116","https://openalex.org/W2794773028","https://openalex.org/W2800554784","https://openalex.org/W2800876221","https://openalex.org/W2887479417","https://openalex.org/W2939448601","https://openalex.org/W2953384591","https://openalex.org/W2963231581","https://openalex.org/W2963782415","https://openalex.org/W2964121744","https://openalex.org/W2964178790","https://openalex.org/W3100388886","https://openalex.org/W6631190155","https://openalex.org/W6634891648","https://openalex.org/W6704184719","https://openalex.org/W6713134421","https://openalex.org/W6734447043","https://openalex.org/W6753648260"],"related_works":["https://openalex.org/W1670332068","https://openalex.org/W2095618524","https://openalex.org/W2735770592","https://openalex.org/W1971024059","https://openalex.org/W1502062143","https://openalex.org/W4224236531","https://openalex.org/W4291993329","https://openalex.org/W2063177452","https://openalex.org/W2413982977","https://openalex.org/W2268850994"],"abstract_inverted_index":{"In":[0,74],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,42],"learning-based":[6],"depth":[7,28,109],"estimation":[8,37,66,110],"framework":[9,21],"suitable":[10],"for":[11],"both":[12],"densely":[13],"and":[14,34,70],"sparsely":[15],"sampled":[16],"light":[17,107],"fields.":[18],"The":[19,36,48],"proposed":[20,86,103],"consists":[22],"of":[23,45,50,82],"three":[24],"processing":[25],"steps:":[26],"initial":[27,51],"estimation,":[29],"fusion":[30,49],"with":[31,76],"occlusion":[32],"handling,":[33],"refinement.":[35],"can":[38],"be":[39],"performed":[40],"from":[41],"flexible":[43],"subset":[44],"input":[46],"views.":[47],"disparity":[52,96],"estimates,":[53],"relying":[54,78],"on":[55,79,94,116],"two":[56],"warping":[57],"error":[58],"measures,":[59],"allows":[60],"us":[61],"to":[62],"have":[63],"an":[64],"accurate":[65],"in":[67],"occluded":[68],"regions":[69],"along":[71],"the":[72,80,85,95,102],"contours.":[73],"contrast":[75],"methods":[77,114],"computation":[81],"cost":[83],"volumes,":[84],"approach":[87],"does":[88],"not":[89],"need":[90],"any":[91],"prior":[92,113],"information":[93],"range.":[97],"Experimental":[98],"results":[99],"show":[100],"that":[101],"method":[104],"outperforms":[105],"state-of-the-art":[106],"fields":[108],"methods,":[111],"including":[112],"based":[115],"deep":[117],"neural":[118],"architectures.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":31},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":2}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}