{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T06:13:53Z","timestamp":1783491233961,"version":"3.55.0"},"reference-count":72,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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","award":["62471158"],"award-info":[{"award-number":["62471158"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U23B2009"],"award-info":[{"award-number":["U23B2009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013058","name":"Henan Provincial Key Research and Development Program","doi-asserted-by":"publisher","award":["261111210300"],"award-info":[{"award-number":["261111210300"]}],"id":[{"id":"10.13039\/501100013058","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/tip.2026.3692025","type":"journal-article","created":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T19:55:52Z","timestamp":1778874952000},"page":"7165-7178","source":"Crossref","is-referenced-by-count":0,"title":["RAW-CLIP Fusion: Unleashing Semantic-Aware Denoising for Sensor-Agnostic Low-Light Imaging"],"prefix":"10.1109","volume":"35","author":[{"given":"Mingde","family":"Qiao","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5694-505X","authenticated-orcid":false,"given":"Junjun","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-5384-156X","authenticated-orcid":false,"given":"Qing","family":"Ma","sequence":"additional","affiliation":[{"name":"Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-5625-7671","authenticated-orcid":false,"given":"Zhanghong","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institute of Future Educational Technology and Jinhua Research Institute, Zhejiang Chinese Medical University, Jinhua, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3431-2021","authenticated-orcid":false,"given":"Junhui","family":"Hou","sequence":"additional","affiliation":[{"name":"Department of Computer Science, City University of Hong Kong, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3264-3265","authenticated-orcid":false,"given":"Jiayi","family":"Ma","sequence":"additional","affiliation":[{"name":"Electronic Information School, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS55552.2023.10342139"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3286254"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51701.2025.00894"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00569"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3233\/ICA-170551"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/tiv.2024.3485004"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01525"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00265"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01129"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2024.106622"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00455"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3155948"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.00222"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3103114"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3515873"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01753"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00564"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2025.3546870"},{"issue":"4","key":"ref19","first-page":"4257","article-title":"APR-RD: Complemental two steps for self-supervised real image denoising","volume-title":"Proc. AAAI Conf. Artif. Intell.","volume":"39","author":"Kim"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00182"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2025.3527886"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2008.2001399"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00235"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01694"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.00535"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01221"},{"key":"ref27","article-title":"YOND: Practical blind raw image denoising free from camera-specific data dependency","author":"Feng","year":"2025","journal-title":"arXiv:2506.03645"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00347"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref30","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"139","author":"Radford"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00993"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01458"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01739"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/34.141557"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TED.2007.896718"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/34.276126"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2007.913972"},{"key":"ref40","article-title":"High-level numerical simulations of noise in CCD and CMOS photosensors: Review and tutorial","author":"Konnik","year":"2014","journal-title":"arXiv:1412.4031"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3301502"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00326"},{"key":"ref43","article-title":"Learning physics-informed noise models from dark frames for low-light raw image denoising","author":"Feng","year":"2024","journal-title":"arXiv:2310.09126"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00276"},{"key":"ref45","first-page":"19657","article-title":"Open-vocabulary object detection upon frozen vision and language models","volume-title":"Proc. 11th Int. Conf. Learn. Represent.","author":"Kuo"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01599"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19815-1_40"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/AIPMV62663.2024.10692307"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00682"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01755"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01075"},{"key":"ref52","first-page":"46895","article-title":"Controlling vision-language models for multi-task image restoration","volume-title":"Proc. 12th Int. Conf. Learn. Represent.","author":"Luo"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3368961"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02454"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/tcsvt.2025.3589476"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01576"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00556"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51701.2025.00977"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2016.2644865"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref63","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. 3rd Int. Conf. Learn. Represent. (ICLR)","author":"Kingma"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72649-1_13"},{"key":"ref65","article-title":"Masked pre-trained model enables universal zero-shot denoiser","author":"Ma","year":"2024","journal-title":"arXiv:2401.14966"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00291"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/s11633-023-1466-0"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01167"},{"key":"ref69","first-page":"1","article-title":"DINOv2: Learning robust visual features without supervision","author":"Oquab","year":"2024","journal-title":"Trans. Mach. Learn. Res."},{"key":"ref70","article-title":"Multi-task image restoration guided by robust dino features","author":"Lin","year":"2024","journal-title":"arXiv:2312.01677"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20071-7_2"},{"key":"ref72","first-page":"36361","article-title":"Selective frequency network for image restoration","volume-title":"Proc. 11th Int. Conf. Learn. Represent.","author":"Cui"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/83\/11355710\/11521070.pdf?arnumber=11521070","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T05:23:35Z","timestamp":1783488215000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11521070\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":72,"URL":"https:\/\/doi.org\/10.1109\/tip.2026.3692025","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}