{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T00:48:41Z","timestamp":1762044521222,"version":"build-2065373602"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Shanghai Committee of Science and Technology, China","award":["21DZ1100100"],"award-info":[{"award-number":["21DZ1100100"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61906184"],"award-info":[{"award-number":["61906184"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Service Network Initiative of Chinese Academy of Sciences","award":["KFJ-STS-QYZX-092"],"award-info":[{"award-number":["KFJ-STS-QYZX-092"]}]},{"name":"Shenzhen Research Program","award":["RCJC20200714114557087"],"award-info":[{"award-number":["RCJC20200714114557087"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2022,12,1]]},"DOI":"10.1109\/tpami.2021.3129345","type":"journal-article","created":{"date-parts":[[2021,11,19]],"date-time":"2021-11-19T20:36:10Z","timestamp":1637354170000},"page":"9363-9379","source":"Crossref","is-referenced-by-count":10,"title":["Interactive Multi-Dimension Modulation for Image Restoration"],"prefix":"10.1109","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9021-1167","authenticated-orcid":false,"given":"Jingwen","family":"He","sequence":"first","affiliation":[{"name":"ShenZhen Key Lab of Computer Vision and Pattern Recognition, SIAT-SenseTime Joint Lab, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2260-8079","authenticated-orcid":false,"given":"Chao","family":"Dong","sequence":"additional","affiliation":[{"name":"ShenZhen Key Lab of Computer Vision and Pattern Recognition, SIAT-SenseTime Joint Lab, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9874-0602","authenticated-orcid":false,"given":"Yihao","family":"Liu","sequence":"additional","affiliation":[{"name":"ShenZhen Key Lab of Computer Vision and Pattern Recognition, SIAT-SenseTime Joint Lab, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1889-2567","authenticated-orcid":false,"given":"Yu","family":"Qiao","sequence":"additional","affiliation":[{"name":"ShenZhen Key Lab of Computer Vision and Pattern Recognition, SIAT-SenseTime Joint Lab, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Beijing, China"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.300"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.901238"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.150"},{"key":"ref30","article-title":"Rectifier nonlinearities improve neural network acoustic models","volume":"30","author":"maas","year":"2013"},{"article-title":"Benchmarking neural network robustness to common corruptions and perturbations","year":"0","author":"hendrycks","key":"ref36"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.5201\/ipol.2015.125"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58595-2_30"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.73"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1515\/9783110524116"},{"key":"ref13","first-page":"391","article-title":"Accelerating the super-resolution convolutional neural network","author":"dong","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2839891"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00181"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00170"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.881959"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00179"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.160"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00331"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00259"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_27"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00925"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00424"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58565-5_4"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01131"},{"key":"ref20","first-page":"63","article-title":"ESRGAN: Enhanced super-resolution generative adversarial networks","author":"wang","year":"2018","journal-title":"Proc Eur Conf Comput Vis Workshops"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3096255"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00319"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.683"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00262"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/9940446\/09622177.pdf?arnumber=9622177","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T22:37:06Z","timestamp":1670279826000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9622177\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,1]]},"references-count":36,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2021.3129345","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"type":"print","value":"0162-8828"},{"type":"electronic","value":"2160-9292"},{"type":"electronic","value":"1939-3539"}],"subject":[],"published":{"date-parts":[[2022,12,1]]}}}