{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T06:55:00Z","timestamp":1792047300942,"version":"4.4.0"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"SenseTime Group CUHK","award":["TS1610626"],"award-info":[{"award-number":["TS1610626"]}]},{"name":"SenseTime Group CUHK","award":["TS1712093"],"award-info":[{"award-number":["TS1712093"]}]},{"name":"Singapore MOE AcRF Tier 1","award":["2018-T1-002-056"],"award-info":[{"award-number":["2018-T1-002-056"]}]},{"name":"NTU NAP"},{"name":"Industry Alignment Fund – Industry Collaboration","award":["RIE2020"],"award-info":[{"award-number":["RIE2020"]}]},{"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":"Joint Lab of CAS-HK"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2022,10,1]]},"DOI":"10.1109\/tpami.2021.3096255","type":"journal-article","created":{"date-parts":[[2021,7,13]],"date-time":"2021-07-13T20:44:01Z","timestamp":1626209041000},"page":"7078-7092","source":"Crossref","is-referenced-by-count":74,"title":["Path-Restore: Learning Network Path Selection for Image Restoration"],"prefix":"10.1109","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4185-5668","authenticated-orcid":false,"given":"Ke","family":"Yu","sequence":"first","affiliation":[{"name":"Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xintao","family":"Wang","sequence":"additional","affiliation":[{"name":"Applied Research Center (ARC), Tencent PCG, Shenzhen, Guangdong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2260-8079","authenticated-orcid":false,"given":"Chao","family":"Dong","sequence":"additional","affiliation":[{"name":"Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoou","family":"Tang","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5345-1591","authenticated-orcid":false,"given":"Chen Change","family":"Loy","sequence":"additional","affiliation":[{"name":"S-Lab, Nanyang Technological University, Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00325"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.294"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00130"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.623"},{"key":"ref7","first-page":"769","article-title":"Natural image denoising with convolutional networks","volume-title":"Proc. Advances Neural Inf. Process. Syst.","author":"Jain"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00333"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00181"},{"key":"ref10","first-page":"1790","article-title":"Deep convolutional neural network for image deconvolution","volume-title":"Proc. Advances Neural Inf. Process. Syst.","author":"Xu"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298677"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.35"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.73"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.302"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_38"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.517"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.181"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.298"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11021-5_5"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2662206"},{"key":"ref24","first-page":"1087","article-title":"Neural nearest neighbors networks","volume-title":"Proc. Advances Neural Inf. Process. Syst.","author":"Pl\u00f6tz"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/VCIP47243.2019.8965754"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.71"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00259"},{"key":"ref28","article-title":"Estimating or propagating gradients through stochastic neurons for conditional computation","author":"Bengio","year":"2013"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.194"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00919"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_25"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref33","article-title":"Routing networks: Adaptive selection of non-linear functions for multi-task learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Rosenbaum"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11796"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1038\/nature24270"},{"key":"ref37","article-title":"Designing neural network architectures using reinforcement learning","author":"Baker","year":"2017"},{"key":"ref38","article-title":"Neural architecture search with reinforcement learning","author":"Zoph"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00257"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3181974"},{"key":"ref41","article-title":"Categorical reparameterization with gumbel-softmax","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Jang"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_1"},{"key":"ref43","article-title":"Snas: stochastic neural architecture search","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Xie"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01099"},{"key":"ref45","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","volume-title":"Proc. Advances Neural Inf. Process. Syst.","author":"Xingjian"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022672621406"},{"key":"ref48","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kingma"},{"key":"ref49","first-page":"265","article-title":"Tensorflow: A system for large-scale machine learning","volume-title":"12th USENIX Symp. Operating Syst. Des. Implementation","author":"Abadi"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2007.4378954"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2839891"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00182"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3322996"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2001.937655"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2631888"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2018.01.012"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-008-0197-6"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.150"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01129"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2596743"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/1531326.1531330"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/9893033\/09483659.pdf?arnumber=9483659","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T23:21:37Z","timestamp":1705015297000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9483659\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,1]]},"references-count":61,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2021.3096255","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":[[2022,10,1]]}}}