{"id":"https://openalex.org/W3092856428","doi":"https://doi.org/10.1145/3394171.3413585","title":"Light Field Super-resolution via Attention-Guided Fusion of Hybrid Lenses","display_name":"Light Field Super-resolution via Attention-Guided Fusion of Hybrid Lenses","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3092856428","doi":"https://doi.org/10.1145/3394171.3413585","mag":"3092856428"},"language":"en","primary_location":{"id":"doi:10.1145/3394171.3413585","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5083714878","display_name":"Jing Jin","orcid":"https://orcid.org/0000-0002-6584-8438"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jing Jin","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031957432","display_name":"Junhui Hou","orcid":"https://orcid.org/0000-0003-3431-2021"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Junhui Hou","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100782730","display_name":"Jie Chen","orcid":"https://orcid.org/0000-0001-8419-4620"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jie Chen","raw_affiliation_strings":["Hong Kong Baptist University, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["City Univeristy of Hong Kong, Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City Univeristy of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101500646","display_name":"Jingyi Yu","orcid":"https://orcid.org/0000-0001-9198-6853"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyi Yu","raw_affiliation_strings":["Shanghai Tech University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Tech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7943,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.90162893,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"193","last_page":"201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"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":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.8443467020988464},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7688308358192444},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7119848132133484},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5343156456947327},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.5140320062637329},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5109254717826843},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.4832082986831665},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47860974073410034},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.47247573733329773},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4539754390716553},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.44680821895599365},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4446825087070465},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.42041996121406555},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4180401861667633},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3727250397205353},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3692251443862915},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09357041120529175},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.08068421483039856}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8443467020988464},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7688308358192444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7119848132133484},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5343156456947327},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.5140320062637329},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5109254717826843},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.4832082986831665},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47860974073410034},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.47247573733329773},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4539754390716553},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.44680821895599365},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4446825087070465},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.42041996121406555},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4180401861667633},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3727250397205353},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3692251443862915},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09357041120529175},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.08068421483039856},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394171.3413585","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7859158558","display_name":null,"funder_award_id":"CityU 21211518","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"}],"funders":[{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W201905283","https://openalex.org/W603908379","https://openalex.org/W1885185971","https://openalex.org/W1930824406","https://openalex.org/W1974973438","https://openalex.org/W1976598894","https://openalex.org/W1992367866","https://openalex.org/W2007165614","https://openalex.org/W2024528993","https://openalex.org/W2039298799","https://openalex.org/W2042687553","https://openalex.org/W2067827172","https://openalex.org/W2118963448","https://openalex.org/W2150007820","https://openalex.org/W2239879258","https://openalex.org/W2242218935","https://openalex.org/W2307624518","https://openalex.org/W2331128040","https://openalex.org/W2513285095","https://openalex.org/W2551052086","https://openalex.org/W2554753600","https://openalex.org/W2572840108","https://openalex.org/W2593390416","https://openalex.org/W2607041014","https://openalex.org/W2612113368","https://openalex.org/W2612645170","https://openalex.org/W2753246299","https://openalex.org/W2792891339","https://openalex.org/W2800554784","https://openalex.org/W2803603634","https://openalex.org/W2806752126","https://openalex.org/W2883996939","https://openalex.org/W2884462366","https://openalex.org/W2903622424","https://openalex.org/W2912980614","https://openalex.org/W2962947932","https://openalex.org/W2963470893","https://openalex.org/W2964101377","https://openalex.org/W2998715827","https://openalex.org/W3035271082","https://openalex.org/W3101633049","https://openalex.org/W3108335059"],"related_works":["https://openalex.org/W1965736178","https://openalex.org/W2554736181","https://openalex.org/W2727613554","https://openalex.org/W4292830147","https://openalex.org/W2744012867","https://openalex.org/W4221094196","https://openalex.org/W3098172517","https://openalex.org/W2884462366","https://openalex.org/W3004000015","https://openalex.org/W2559771220"],"abstract_inverted_index":{"This":[0],"paper":[1],"explores":[2],"the":[3,39,43,69,78,83,86,92,95,100,106,114,130,140,146,153,176],"problem":[4],"of":[5,42,85,94,117,148,178],"reconstructing":[6,160],"high-resolution":[7,17,87,108,162,179],"light":[8],"field":[9],"(LF)":[10],"images":[11],"from":[12,45],"hybrid":[13,167],"lenses,":[14],"including":[15],"a":[16,30,55,62,161,166],"camera":[18],"surrounded":[19],"by":[20,60,81,132],"multiple":[21],"low-resolution":[22],"cameras.":[23],"To":[24,145],"tackle":[25],"this":[26,151],"challenge,":[27],"we":[28],"propose":[29],"novel":[31],"end-to-end":[32,155],"learning-based":[33],"approach,":[34],"which":[35,76],"can":[36],"comprehensively":[37],"utilize":[38],"specific":[40],"characteristics":[41],"input":[44],"two":[46,96],"complementary":[47],"and":[48,65,183,191],"parallel":[49],"perspectives.":[50],"Specifically,":[51],"one":[52,71],"module":[53],"regresses":[54],"spatially":[56],"consistent":[57],"intermediate":[58,74,97],"estimation":[59],"learning":[61,157],"deep":[63,156],"multidimensional":[64],"cross-domain":[66],"feature":[67],"representation;":[68],"other":[70],"constructs":[72],"another":[73],"estimation,":[75],"maintains":[77],"high-frequency":[79],"textures,":[80],"propagating":[82],"information":[84],"view.":[88],"We":[89,169],"finally":[90],"leverage":[91],"advantages":[93],"estimations":[98],"via":[99],"learned":[101],"attention":[102],"maps,":[103],"leading":[104],"to":[105,187],"final":[107],"LF":[109,141,163,180,188],"image.":[110],"Extensive":[111],"experiments":[112],"demonstrate":[113],"significant":[115],"superiority":[116],"our":[118,125,149,171],"approach":[119],"over":[120],"state-of-the-art":[121],"ones.":[122],"That":[123],"is,":[124],"method":[126,158],"not":[127],"only":[128],"improves":[129],"PSNR":[131],"more":[133],"than":[134],"2":[135],"dB,":[136],"but":[137],"also":[138,184],"preserves":[139],"structure":[142],"much":[143],"better.":[144],"best":[147],"knowledge,":[150],"is":[152,195],"first":[154],"for":[159],"image":[164],"with":[165],"input.":[168],"believe":[170],"framework":[172],"could":[173],"potentially":[174],"decrease":[175],"cost":[177],"data":[181,189],"acquisition":[182],"be":[185],"beneficial":[186],"storage":[190],"transmission.":[192],"The":[193],"code":[194],"available":[196],"at":[197],"https://github.com/jingjin25/LFhybridSR-Fusion.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":6}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}