{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T04:04:11Z","timestamp":1778299451062,"version":"3.51.4"},"reference-count":60,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"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":["IEEE Trans. Artif. Intell."],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1109\/tai.2024.3418376","type":"journal-article","created":{"date-parts":[[2024,6,28]],"date-time":"2024-06-28T14:20:09Z","timestamp":1719584409000},"page":"5314-5324","source":"Crossref","is-referenced-by-count":1,"title":["Disentangled Cross-modal Fusion for Event-Guided Image Super-resolution"],"prefix":"10.1109","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-9855-8166","authenticated-orcid":false,"given":"Minjie","family":"Liu","sequence":"first","affiliation":[{"name":"Artificial Intelligence Thrust, Information Hub, Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8369-5925","authenticated-orcid":false,"given":"Hongjian","family":"Wang","sequence":"additional","affiliation":[{"name":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1634-2756","authenticated-orcid":false,"given":"Kuk-Jin","family":"Yoon","sequence":"additional","affiliation":[{"name":"Visual Intelligence Lab, Department of Mechanical Engineering, Korea Advanced Institute of Science &#x0026; Technology (KAIST), Daejeon, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7485-4493","authenticated-orcid":false,"given":"Lin","family":"Wang","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Thrust, Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00144"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58601-0_10"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00834"},{"key":"ref4","article-title":"Deep learning for event-based vision: A comprehensive survey and benchmarks","author":"Zheng","year":"2023"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.00124"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00067"},{"key":"ref7","first-page":"2768","article-title":"Learning to super resolve intensity images from events","volume-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit.","author":"Choi","year":"2020"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3240397"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00484"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6894"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00061"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20068-7_38"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01819"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00768"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00156"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00338"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19797-0_24"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00449"},{"key":"ref20","article-title":"CMX: Cross-modal fusion for RGB-X semantic segmentation with transformers","author":"Liu","year":"2022"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00262"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19797-0_33"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00179"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3077135"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00217"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00557"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00971"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3204461"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00966"},{"key":"ref32","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3152247"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref35","first-page":"5583","article-title":"VILT: Vision-and-language transformer without convolution or region supervision","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","volume":"139","author":"Kim","year":"2021"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00756"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00210"},{"key":"ref38","article-title":"Cross aggregation transformer for image restoration","author":"Venkataramanan","year":"2023"},{"key":"ref39","first-page":"12665","article-title":"MSRA-SR: Image super-resolution transformer with multi-scale shared representation acquisition","volume-title":"Proc. IEEE\/CVF Int. Conf. Comput. Vis.","author":"Zhou","year":"2023"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.02109"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02142"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01131"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02143"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_18"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.5555\/3045118.3045167"},{"key":"ref47","first-page":"514","article-title":"Learning for video super-resolution through HR optical flow estimation","volume-title":"Proc. Asian Conf. Comput. Vis.","author":"Wang","year":"2018"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref49","article-title":"Domain separation networks","volume":"29","author":"Bousmalis","year":"2016","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref50","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020"},{"key":"ref51","article-title":"Layer normalization","author":"Ba","year":"2016"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2865304"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.35"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.128"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00938"},{"key":"ref56","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2012.2227726"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00652"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"container-title":["IEEE Transactions on Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/9078688\/10720652\/10576683.pdf?arnumber=10576683","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T01:09:17Z","timestamp":1755911357000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10576683\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10]]},"references-count":60,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tai.2024.3418376","relation":{},"ISSN":["2691-4581"],"issn-type":[{"value":"2691-4581","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10]]}}}