{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T16:22:44Z","timestamp":1781367764334,"version":"3.54.1"},"reference-count":73,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"JSPS KAKENHI","award":["19K12129"],"award-info":[{"award-number":["19K12129"]}]},{"name":"AFOSR Center of Excellence in Efficient and Robust Machine Learning","award":["FA9550-18-1-0166"],"award-info":[{"award-number":["FA9550-18-1-0166"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2021,12,1]]},"DOI":"10.1109\/tpami.2020.3002836","type":"journal-article","created":{"date-parts":[[2020,6,16]],"date-time":"2020-06-16T21:36:22Z","timestamp":1592343382000},"page":"4323-4337","source":"Crossref","is-referenced-by-count":88,"title":["Deep Back-ProjectiNetworks for Single Image Super-Resolution"],"prefix":"10.1109","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8868-8094","authenticated-orcid":false,"given":"Muhammad","family":"Haris","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Greg","family":"Shakhnarovich","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Norimichi","family":"Ukita","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2012.2227726"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2016.12.009"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.265"},{"key":"ref70","first-page":"658","article-title":"Generating images with perceptual similarity metrics based on deep networks","author":"dosovitskiy","year":"2016","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.196"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.398"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11021-5_21"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00130"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00179"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"1744","DOI":"10.1109\/TPAMI.2009.186","article-title":"Auto-context and its application to high-level vision tasks and 3D brain image segmentation","volume":"32","author":"tu","year":"2010","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995724"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.512"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00262"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref62","first-page":"114","article-title":"Analyzing perception-distortion tradeoff using enhanced perceptual super-resolution network","author":"vasu","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00070"},{"key":"ref63","first-page":"63","article-title":"ESRGAN: Enhanced super-resolution generative adversarial networks","author":"wang","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1006\/jvci.1993.1030"},{"key":"ref64","first-page":"51","article-title":"Generative adversarial network-based image super-resolution using perceptual content losses","author":"cheon","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/S0166-2236(00)01657-X"},{"key":"ref65","first-page":"3","article-title":"Multi–scale recursive and perception–distortion controllable image super–resolution","author":"navarrete michelini","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.06.103"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2007.4284831"},{"key":"ref67","first-page":"98","article-title":"Perception-enhanced image super-resolution via relativistic generative adversarial networks","author":"vu","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref68","first-page":"20","article-title":"Bi-GANs-ST for perceptual image super-resolution","author":"luo","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref69","first-page":"132","article-title":"Scale-recurrent multi-residual dense network for image super-resolution","author":"purohit","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.181"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-016-0880-y"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299003"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2687419"},{"key":"ref23","first-page":"111","article-title":"A+: Adjusted anchored neighborhood regression for fast super-resolution","author":"timofte","year":"2014","journal-title":"Proc Asian Conf Comput Vis"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2012.10.011"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/1.1.1"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.150"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-016-4020-z"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299156"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.161"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-27413-8_47"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.5244\/C.26.135"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01132"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_32"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2865304"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00693"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1364\/AO.56.006043"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_20"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.618"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.298"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_18"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_27"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_25"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.241"},{"key":"ref3","first-page":"1486","article-title":"Deep generative image models using a laplacian pyramid of adversarial networks","author":"denton","year":"2015","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref6","first-page":"1","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2016","journal-title":"Proc 4th Int Conf Learn Representations"},{"key":"ref5","first-page":"1","article-title":"FractalNet: Ultra-deep neural networks without residuals","author":"larsson","year":"2017","journal-title":"Proc 5th Int Conf Learn Representations"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.179"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.479"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.11.049"},{"key":"ref45","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc 3rd Int Conf Learn Representations"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.206"},{"key":"ref47","first-page":"349","article-title":"Nonlocal back-projection for adaptive image enlargement","author":"dong","year":"2009","journal-title":"Proc 16th IEEE Int Conf Image Process"},{"key":"ref42","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref41","first-page":"1","article-title":"Deep predictive coding networks for video prediction and unsupervised learning","author":"lotter","year":"2017","journal-title":"Proc 5th Int Conf Learn Representations"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.481"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/9600479\/09119166.pdf?arnumber=9119166","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,14]],"date-time":"2022-03-14T20:44:20Z","timestamp":1647290660000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9119166\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,1]]},"references-count":73,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2020.3002836","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12,1]]}}}