{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T09:55:55Z","timestamp":1766138155567,"version":"3.37.3"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013056","name":"Guizhou Institute of Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100013056","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,8,21]]},"DOI":"10.1109\/icpr56361.2022.9956183","type":"proceedings-article","created":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T19:34:13Z","timestamp":1669750453000},"page":"386-392","source":"Crossref","is-referenced-by-count":2,"title":["Swin-CasUNet: Cascaded U-Net with Swin Transformer for Masked Face Restoration"],"prefix":"10.1109","author":[{"given":"Chengbin","family":"Zeng","sequence":"first","affiliation":[{"name":"Guizhou Institute of Technology,School of Big Data,Guiyang,Guizhou,China,550003"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Liu","sequence":"additional","affiliation":[{"name":"Guizhou Institute of Technology,School of Big Data,Guiyang,Guizhou,China,550003"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunli","family":"Song","sequence":"additional","affiliation":[{"name":"Guizhou Institute of Technology,School of Big Data,Guiyang,Guizhou,China,550003"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/97.995823"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00158"},{"key":"ref30","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proceedings of the International Conference on Learning Representations (ICLR)"},{"key":"ref35","article-title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium","author":"heusel","year":"2017","journal-title":"Proceedings of Advances in Neural Information Processing Systems"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2005.859378"},{"key":"ref10","article-title":"Attention is all you need","author":"ashish","year":"2017","journal-title":"Proceedings of Advances in Neural Information Processing Systems"},{"article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","year":"2020","author":"alexey","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"article-title":"Transunet: Transformers make strong encoders for medical image segmentation","year":"2021","author":"jieneng","key":"ref13"},{"key":"ref14","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.278"},{"key":"ref16","article-title":"Generative adversarial networks","author":"goodfellow","year":"2014","journal-title":"Proceedings of Advances in Neural Information Processing Systems"},{"key":"ref17","article-title":"Image inpainting for irregular holes using partial convolutions","author":"liu","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00577"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413731"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1145\/1276377.1276382","article-title":"Scene completion using millions of photographs","volume":"26","author":"hays","year":"2007","journal-title":"ACM Transactions on Graphics (TOG)"},{"article-title":"Learning face representation from scratch","year":"2014","author":"yi","key":"ref27"},{"key":"ref3","first-page":"1","article-title":"Learning to incorporate structure knowledge for image inpainting","volume":"33","author":"huang","year":"2014","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2003.1238360"},{"year":"0","key":"ref29","article-title":"Dlib c++ toolkit"},{"key":"ref5","article-title":"Shift-map image editing","author":"pritch","year":"2009","journal-title":"Proceedings of IEEE International Conference on Computer Vision (ICCV)"},{"key":"ref8","article-title":"Learning to incorporate structure knowledge for image inpainting","author":"jie","year":"2020","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073659"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1145\/1531326.1531330","article-title":"Patchmatch: A randomized correspondence algorithm for structural image editing","volume":"28","author":"barnes","year":"2009","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00153"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2004.833105"},{"article-title":"Masked face recognition dataset and application","year":"2020","author":"wang","key":"ref20"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-020-02100-9"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01458"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref26","article-title":"Ms-celeb-1m: A dataset and benchmark for large-scale face recognition","author":"guo","year":"2016","journal-title":"Proceedings of European Conference on Computer Vision"},{"article-title":"A neural algorithm of artistic style","year":"2015","author":"gatys","key":"ref25"}],"event":{"name":"2022 26th International Conference on Pattern Recognition (ICPR)","start":{"date-parts":[[2022,8,21]]},"location":"Montreal, QC, Canada","end":{"date-parts":[[2022,8,25]]}},"container-title":["2022 26th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9956007\/9955631\/09956183.pdf?arnumber=9956183","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T20:06:25Z","timestamp":1671480385000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9956183\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,21]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/icpr56361.2022.9956183","relation":{},"subject":[],"published":{"date-parts":[[2022,8,21]]}}}