{"id":"https://openalex.org/W2978701653","doi":"https://doi.org/10.1109/tpami.2019.2945027","title":"High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction","display_name":"High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2978701653","doi":"https://doi.org/10.1109/tpami.2019.2945027","mag":"2978701653","pmid":"https://pubmed.ncbi.nlm.nih.gov/31581075"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2019.2945027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2019.2945027","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1910.01426","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001473276","display_name":"Nan Meng","orcid":"https://orcid.org/0000-0003-2821-7474"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Nan Meng","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Hong Kong, Pokfulam, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-2821-7474","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Hong Kong, Pokfulam, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020581824","display_name":"Hayden Kwok\u2010Hay So","orcid":"https://orcid.org/0000-0002-6514-0237"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hayden K.-H. So","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Hong Kong, Pokfulam, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-6514-0237","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Hong Kong, Pokfulam, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004402130","display_name":"Xing Sun","orcid":"https://orcid.org/0000-0001-8132-9083"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Sun","raw_affiliation_strings":["YouTu Lab, Tencent, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"YouTu Lab, Tencent, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008832723","display_name":"Edmund Y. Lam","orcid":"https://orcid.org/0000-0001-6268-950X"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Edmund Y. Lam","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Hong Kong, Pokfulam, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-6268-950X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Hong Kong, Pokfulam, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.5142,"has_fulltext":false,"cited_by_count":150,"citation_normalized_percentile":{"value":0.98018717,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"43","issue":"3","first_page":"873","last_page":"886"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9990000128746033,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.987500011920929,"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/computer-science","display_name":"Computer science","score":0.73991858959198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7321828603744507},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.6916232705116272},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6605428457260132},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5823639631271362},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5609230995178223},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5535880327224731},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5086734890937805},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4850289225578308},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4827975034713745},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4508155286312103},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4231812357902527},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4018493890762329},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3520127534866333},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2586681842803955},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14494457840919495}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.73991858959198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7321828603744507},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.6916232705116272},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6605428457260132},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5823639631271362},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5609230995178223},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5535880327224731},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5086734890937805},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4850289225578308},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4827975034713745},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4508155286312103},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4231812357902527},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4018493890762329},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3520127534866333},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2586681842803955},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14494457840919495},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2019.2945027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2019.2945027","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:31581075","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31581075","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 pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:arXiv.org:1910.01426","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.01426","pdf_url":"https://arxiv.org/pdf/1910.01426","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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:1910.01426","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.01426","pdf_url":"https://arxiv.org/pdf/1910.01426","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[{"id":"https://metadata.un.org/sdg/11","score":0.7799999713897705,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1016608629","display_name":null,"funder_award_id":"104005438","funder_id":"https://openalex.org/F4320322170","funder_display_name":"University of Hong Kong"},{"id":"https://openalex.org/G2104442225","display_name":null,"funder_award_id":"104005009","funder_id":"https://openalex.org/F4320322170","funder_display_name":"University of Hong Kong"}],"funders":[{"id":"https://openalex.org/F4320322170","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W1537348865","https://openalex.org/W1585668122","https://openalex.org/W1686810756","https://openalex.org/W1776042733","https://openalex.org/W1836465849","https://openalex.org/W1914596733","https://openalex.org/W1951771206","https://openalex.org/W1999522391","https://openalex.org/W2012451647","https://openalex.org/W2042687553","https://openalex.org/W2055397548","https://openalex.org/W2060167709","https://openalex.org/W2063366997","https://openalex.org/W2093381227","https://openalex.org/W2105198794","https://openalex.org/W2116361875","https://openalex.org/W2134091142","https://openalex.org/W2137313943","https://openalex.org/W2149694199","https://openalex.org/W2150007820","https://openalex.org/W2162834014","https://openalex.org/W2200825767","https://openalex.org/W2206577834","https://openalex.org/W2239879258","https://openalex.org/W2242218935","https://openalex.org/W2257183329","https://openalex.org/W2294985758","https://openalex.org/W2331128040","https://openalex.org/W2342420672","https://openalex.org/W2344700153","https://openalex.org/W2345834824","https://openalex.org/W2402144811","https://openalex.org/W2428327932","https://openalex.org/W2476548250","https://openalex.org/W2543431435","https://openalex.org/W2549094858","https://openalex.org/W2551052086","https://openalex.org/W2572840108","https://openalex.org/W2588196171","https://openalex.org/W2591697814","https://openalex.org/W2732597826","https://openalex.org/W2744570394","https://openalex.org/W2753246299","https://openalex.org/W2753630964","https://openalex.org/W2787138665","https://openalex.org/W2798664922","https://openalex.org/W2800554784","https://openalex.org/W2807342049","https://openalex.org/W2895527865","https://openalex.org/W2951063615","https://openalex.org/W2953384591","https://openalex.org/W2962835968","https://openalex.org/W2963013747","https://openalex.org/W2963182372","https://openalex.org/W2963446712","https://openalex.org/W2963470893","https://openalex.org/W2963872754","https://openalex.org/W2964101377","https://openalex.org/W2964178790","https://openalex.org/W3098172517","https://openalex.org/W6631943919","https://openalex.org/W6632101704","https://openalex.org/W6634891648","https://openalex.org/W6637373629","https://openalex.org/W6637839385","https://openalex.org/W6638667902","https://openalex.org/W6680045439","https://openalex.org/W6680152570","https://openalex.org/W6684116925","https://openalex.org/W6702130928","https://openalex.org/W6704184719","https://openalex.org/W6713134421","https://openalex.org/W6729480787","https://openalex.org/W6734447043","https://openalex.org/W6755419504"],"related_works":["https://openalex.org/W2591697403","https://openalex.org/W2944728705","https://openalex.org/W2904022177","https://openalex.org/W2359348847","https://openalex.org/W3011538607","https://openalex.org/W4294432981","https://openalex.org/W4297807321","https://openalex.org/W2744012867","https://openalex.org/W4292830147","https://openalex.org/W3098172517"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,28,74,77,90,95,117,127,134],"problem":[3],"of":[4,114,142],"high-dimensional":[5],"light":[6,47,143,153],"field":[7,48,144],"reconstruction":[8],"and":[9,16,30,54,93,125,151,161],"develop":[10,55,126],"a":[11,56,61,101,106,112,121,140],"learning-based":[12],"framework":[13,58],"for":[14],"spatial":[15,29],"angular":[17,31],"super-resolution.":[18],"Many":[19],"current":[20],"approaches":[21],"either":[22],"require":[23],"disparity":[24],"clues":[25],"or":[26,41],"restore":[27],"details":[32],"separately.":[33],"Such":[34,85],"methods":[35],"have":[36],"difficulties":[37],"with":[38,64,166],"non-Lambertian":[39],"surfaces":[40],"occlusions.":[42],"In":[43],"contrast,":[44],"we":[45,104],"formulate":[46],"super-resolution":[49],"(LFSR)":[50],"as":[51],"tensor":[52],"restoration":[53,63],"learning":[57],"based":[59,110],"on":[60,111,139],"two-stage":[62],"4-dimensional":[65],"(4D)":[66],"convolution.":[67],"This":[68],"allows":[69],"our":[70],"model":[71],"to":[72,131],"learn":[73],"features":[75,87],"capturing":[76],"geometry":[78],"information":[79],"encoded":[80],"in":[81,116],"multiple":[82],"adjacent":[83],"views.":[84],"geometric":[86],"vary":[88],"near":[89],"occlusion":[91],"regions":[92],"indicate":[94],"foreground":[96],"object":[97],"border.":[98],"To":[99],"train":[100],"feasible":[102],"network,":[103],"propose":[105],"novel":[107],"normalization":[108],"operation":[109],"group":[113],"views":[115],"feature":[118],"maps,":[119],"design":[120],"stage-wise":[122],"loss":[123],"function,":[124],"multi-range":[128],"training":[129],"strategy":[130],"further":[132],"improve":[133],"performance.":[135],"Evaluations":[136],"are":[137],"conducted":[138],"number":[141],"datasets":[145],"including":[146],"real-world":[147],"scenes,":[148],"synthetic":[149],"data,":[150],"microscope":[152],"fields.":[154],"The":[155],"proposed":[156],"method":[157],"achieves":[158],"superior":[159],"performance":[160],"less":[162],"execution":[163],"time":[164],"comparing":[165],"other":[167],"state-of-the-art":[168],"schemes.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":31},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}