{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T23:18:31Z","timestamp":1771888711060,"version":"3.50.1"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,3,6]],"date-time":"2025-03-06T00:00:00Z","timestamp":1741219200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,3,6]],"date-time":"2025-03-06T00:00:00Z","timestamp":1741219200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,3,6]]},"DOI":"10.1109\/ncc63735.2025.10983879","type":"proceedings-article","created":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T17:43:35Z","timestamp":1747158215000},"page":"1-6","source":"Crossref","is-referenced-by-count":3,"title":["A Robust and Lightweight Generative Adversarial Network with Zero-Shot Learning for Image Super-Resolution"],"prefix":"10.1109","author":[{"given":"Masuma","family":"Aktar","sequence":"first","affiliation":[{"name":"NIT Silchar,Department of Electronics and Communication Engineering"}]},{"given":"Kuldeep Singh","family":"Yadav","sequence":"additional","affiliation":[{"name":"IIT,Department of Electrical Engineering,Delhi"}]},{"given":"Rabul Hussain","family":"Laskar","sequence":"additional","affiliation":[{"name":"NIT Silchar,Department of Electronics and Communication Engineering"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.09.005"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2919431"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.7578"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.2991\/978-94-6463-529-4_9"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10593-2_13"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2016.181"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-11021-5_5"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.481"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3096327"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3114428"},{"key":"ref16","article-title":"A Least Squares Generative Adversarial Neatwork with Multi-Scale Residual Block for Single Image Super-Resolution","volume-title":"International Conference on Computer Vision and Image Processing","author":"Aktar","year":"2024"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00329"},{"key":"ref18","article-title":"Blind super-resolution kernel estimation using an internal-gan","volume":"32","author":"Bell-Kligler","year":"2019","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00167"},{"key":"ref20","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017","journal-title":"arXiv preprint"},{"key":"ref21","article-title":"Spectral normalization for generative adversarial networks","author":"Miyato","year":"2018","journal-title":"ar Xiv p rep rint arXiv"},{"key":"ref22","first-page":"315","article-title":"Deep sparse rectifier neural networks","volume-title":"Proceedings of the fourteenth international conference on artificial intelligence and statistics. JMLR Workshop and Conference Proceedings","author":"Glorot","year":"2011"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.5244\/C.26.135"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-27413-8_47"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2001.937655"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.150"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref30","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv preprint"}],"event":{"name":"2025 National Conference on Communications (NCC)","location":"New Delhi, India","start":{"date-parts":[[2025,3,6]]},"end":{"date-parts":[[2025,3,9]]}},"container-title":["2025 National Conference on Communications (NCC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10982528\/10982694\/10983879.pdf?arnumber=10983879","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T05:37:06Z","timestamp":1747201026000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10983879\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,6]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/ncc63735.2025.10983879","relation":{},"subject":[],"published":{"date-parts":[[2025,3,6]]}}}