{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T17:04:22Z","timestamp":1780765462659,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":46,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T00:00:00Z","timestamp":1602460800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100002920","name":"Research Grants Council, University Grants Committee","doi-asserted-by":"publisher","award":["CityU 21211518"],"award-info":[{"award-number":["CityU 21211518"]}],"id":[{"id":"10.13039\/501100002920","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Basic Research General Program of Shenzhen Municipality","award":["JCYJ20190808183003968"],"award-info":[{"award-number":["JCYJ20190808183003968"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,12]]},"DOI":"10.1145\/3394171.3413585","type":"proceedings-article","created":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T12:27:35Z","timestamp":1602505655000},"page":"193-201","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":30,"title":["Light Field Super-resolution via Attention-Guided Fusion of Hybrid Lenses"],"prefix":"10.1145","author":[{"given":"Jing","family":"Jin","sequence":"first","affiliation":[{"name":"City University of Hong Kong, Hong Kong, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junhui","family":"Hou","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Chen","sequence":"additional","affiliation":[{"name":"Hong Kong Baptist University, Hong Kong, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sam","family":"Kwong","sequence":"additional","affiliation":[{"name":"City Univeristy of Hong Kong, Hong Kong, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingyi","family":"Yu","sequence":"additional","affiliation":[{"name":"Shanghai Tech University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,10,12]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"[n.d.]. Stanford Lytro Light Field Archive. http:\/\/lightfields.stanford.edu\/LF2016.html. [Online].  [n.d.]. Stanford Lytro Light Field Archive. http:\/\/lightfields.stanford.edu\/LF2016.html. [Online]."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCPHOT.2014.6831814"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.1315043"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2861212"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2017.2747127"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCPHOT.2014.6831809"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_17"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10599-4_48"},{"key":"e_1_3_2_2_10_1","volume-title":"Asian Conference on Computer Vision (ACCV). 19--34","author":"Honauer Katrin","year":"2016","unstructured":"Katrin Honauer , Ole Johannsen , Daniel Kondermann , and Bastian Goldluecke . 2016 . A dataset and evaluation methodology for depth estimation on 4d light fields . In Asian Conference on Computer Vision (ACCV). 19--34 . Katrin Honauer, Ole Johannsen, Daniel Kondermann, and Bastian Goldluecke. 2016. A dataset and evaluation methodology for depth estimation on 4d light fields. In Asian Conference on Computer Vision (ACCV). 19--34."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2802943"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766922"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299156"},{"key":"e_1_3_2_2_14_1","unstructured":"Max Jaderberg Karen Simonyan Andrew Zisserman etal 2015. Spatial transformer networks. In Advances in Neural Information Processing Systems (NeurIPS). 2017--2025.  Max Jaderberg Karen Simonyan Andrew Zisserman et al. 2015. Spatial transformer networks. In Advances in Neural Information Processing Systems (NeurIPS). 2017--2025."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00233"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDSP.2018.8631859"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6771"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2980179.2980251"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2461912.2461926"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.618"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.359"},{"key":"e_1_3_2_2_25_1","volume-title":"Fleischer","author":"Lu Chien-Hung","year":"2013","unstructured":"Chien-Hung Lu , Stefan Muenzel , and Jason W . Fleischer . 2013 . High-Resolution Light-Field Microscopy. In Imaging and Applied Optics . Chien-Hung Lu, Stefan Muenzel, and Jason W. Fleischer. 2013. High-Resolution Light-Field Microscopy. In Imaging and Applied Optics."},{"key":"e_1_3_2_2_26_1","volume-title":"International Conference on Learning Representations (ICLR)","author":"Mathieu Michael","year":"2016","unstructured":"Michael Mathieu , Camille Couprie , and Yann LeCun . 2016 . Deep multi-scale video prediction beyond mean square error . International Conference on Learning Representations (ICLR) (2016), 1--11. Michael Mathieu, Camille Couprie, and Yann LeCun. 2016. Deep multi-scale video prediction beyond mean square error. International Conference on Learning Representations (ICLR) (2016), 1--11."},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2012.6239346"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2828983"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.253"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-010-0204-6"},{"key":"e_1_3_2_2_31_1","volume-title":"IEEE Asian Conference on Computer Vision (ACCV). 111--126","author":"Timofte Radu","year":"2014","unstructured":"Radu Timofte , Vincent De Smet , and Luc Van Gool . 2014 . A+: Adjusted anchored neighborhood regression for fast super-resolution . In IEEE Asian Conference on Computer Vision (ACCV). 111--126 . Radu Timofte, Vincent De Smet, and Luc Van Gool. 2014. A+: Adjusted anchored neighborhood regression for fast super-resolution. In IEEE Asian Conference on Computer Vision (ACCV). 111--126."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_8"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073614"},{"key":"e_1_3_2_2_34_1","volume-title":"High-resolution light field reconstruction using a hybrid imaging system. Applied optics","author":"Wang Xiang","year":"2016","unstructured":"Xiang Wang , Lin Li , and GuangQi Hou . 2016a. High-resolution light field reconstruction using a hybrid imaging system. Applied optics , Vol. 55 , 10 ( 2016 ), 2580--2593. Xiang Wang, Lin Li, and GuangQi Hou. 2016a. High-resolution light field reconstruction using a hybrid imaging system. Applied optics, Vol. 55, 10 (2016), 2580--2593."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2834819"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2016.2628743"},{"key":"e_1_3_2_2_37_1","volume-title":"Deep Learning for Image Super-resolution: A Survey. arXiv preprint arXiv:1902.06068","author":"Wang Zhihao","year":"2019","unstructured":"Zhihao Wang , Jian Chen , and Steven CH Hoi . 2019. Deep Learning for Image Super-resolution: A Survey. arXiv preprint arXiv:1902.06068 ( 2019 ). Zhihao Wang, Jian Chen, and Steven CH Hoi. 2019. Deep Learning for Image Super-resolution: A Survey. arXiv preprint arXiv:1902.06068 (2019)."},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.147"},{"key":"e_1_3_2_2_39_1","volume-title":"Fast Light Field Reconstruction With Deep Coarse-To-Fine Modeling of Spatial-Angular Clues. In European Conference on Computer Vision (ECCV). 137--152","author":"Henry Yeung Wing Fung","year":"2018","unstructured":"Wing Fung Henry Yeung , Junhui Hou , Jie Chen , Yuk Ying Chung , and Xiaoming Chen . 2018 b. Fast Light Field Reconstruction With Deep Coarse-To-Fine Modeling of Spatial-Angular Clues. In European Conference on Computer Vision (ECCV). 137--152 . Wing Fung Henry Yeung, Junhui Hou, Jie Chen, Yuk Ying Chung, and Xiaoming Chen. 2018b. Fast Light Field Reconstruction With Deep Coarse-To-Fine Modeling of Spatial-Angular Clues. In European Conference on Computer Vision (ECCV). 137--152."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2885236"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2015.17"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2017.24"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2856619"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00262"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2018.2838457"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_6"}],"event":{"name":"MM '20: The 28th ACM International Conference on Multimedia","location":"Seattle WA USA","acronym":"MM '20","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 28th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394171.3413585","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394171.3413585","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:47:14Z","timestamp":1750193234000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394171.3413585"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,12]]},"references-count":46,"alternative-id":["10.1145\/3394171.3413585","10.1145\/3394171"],"URL":"https:\/\/doi.org\/10.1145\/3394171.3413585","relation":{},"subject":[],"published":{"date-parts":[[2020,10,12]]},"assertion":[{"value":"2020-10-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}