{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T05:34:47Z","timestamp":1770269687324,"version":"3.49.0"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"High-level Talents Programme of National University of Defense Technology"},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12204541"],"award-info":[{"award-number":["12204541"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/lsp.2024.3477298","type":"journal-article","created":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T17:59:38Z","timestamp":1728496778000},"page":"2905-2909","source":"Crossref","is-referenced-by-count":6,"title":["Edge-Aware Attention Transformer for Image Super-Resolution"],"prefix":"10.1109","volume":"31","author":[{"given":"Haoqian","family":"Wang","sequence":"first","affiliation":[{"name":"College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongyang","family":"Xing","sequence":"additional","affiliation":[{"name":"College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongjie","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangai","family":"Cheng","sequence":"additional","affiliation":[{"name":"College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5175-0819","authenticated-orcid":false,"given":"Teng","family":"Li","sequence":"additional","affiliation":[{"name":"College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/146370.146374"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/1049-9652(91)90045-L"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/38.988747"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.300"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_18"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10593-2_13"},{"key":"ref7","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Dosovitskiy","year":"2021"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00061"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01212"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00210"},{"key":"ref14","first-page":"832","article-title":"Blueprint separable residual network for efficient image super-resolution","volume-title":"Proc. 2022 IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. Workshops","author":"Li","year":"2022"},{"key":"ref15","first-page":"22367","article-title":"Activating more pixels in image super-resolution transformer","volume-title":"Proc. 2023 IEEE\/CVF Conf. Comput. Vis. Pattern Recognit.","author":"Chen","year":"2022"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02276"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/igarss.2002.1026581"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-25066-8_9"},{"key":"ref20","first-page":"764","article-title":"Deformable convolutional networks","volume-title":"Proc. 2017 IEEE Int. Conf. Comput. Vis.","author":"Dai","year":"2017"},{"key":"ref21","first-page":"9300","article-title":"Deformable ConvNets v2: More deformable, better results","volume-title":"Proc. 2019 IEEE\/CVF Conf. Comput. Vis. Pattern Recognit.","author":"Zhu","year":"2018"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2020.2982166"},{"key":"ref23","first-page":"456","article-title":"Transformer for single image super-resolution","volume-title":"Proc. 2022 IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. Workshops","author":"Lu","year":"2021"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW63382.2024.00628"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2022.3199733"},{"key":"ref26","article-title":"Parameter-free channel attention for image classification and super-resolution","author":"Shi","year":"2023"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.5244\/C.26.135"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-27413-8_47"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2001.937655"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299156"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-016-4020-z"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01132"},{"key":"ref34","first-page":"3499","article-title":"Cross-scale internal graph neural network for image super-resolution","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhou","year":"2020"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_12"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00352"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.150"},{"key":"ref38","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"CoRR"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00178"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/97\/10380231\/10710151.pdf?arnumber=10710151","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T01:13:32Z","timestamp":1732670012000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10710151\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/lsp.2024.3477298","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}