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Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising

 
dc.contributor.authorZeng, Haijin
dc.contributor.authorCao, Jiezhang
dc.contributor.authorZhang, Kai
dc.contributor.authorChen, Yongyong
dc.contributor.authorLuong, Hiep
dc.contributor.authorPhilips, Wilfried
dc.contributor.imecauthorZeng, Haijin
dc.contributor.imecauthorLuong, Hiep
dc.contributor.imecauthorPhilips, Wilfried
dc.contributor.orcidimecZeng, Haijin::0000-0003-0398-3316
dc.contributor.orcidimecLuong, Hiep::0000-0002-6246-5538
dc.contributor.orcidimecPhilips, Wilfried::0000-0003-4456-4353
dc.date.accessioned2025-06-17T12:19:01Z
dc.date.available2025-03-04T20:00:17Z
dc.date.available2025-06-17T12:19:01Z
dc.date.issued2024
dc.description.wosFundingTextThis work was supported in part by the Flemish Government (AI Research Program), UGent-Special Research Fund (BOF).
dc.identifier.doi10.1109/CVPR52733.2024.02628
dc.identifier.eisbn979-8-3503-5300-6
dc.identifier.issn1063-6919
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45306
dc.publisherIEEE COMPUTER SOC
dc.source.beginpage27820
dc.source.conferenceIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
dc.source.conferencedateJUN 16-22, 2024
dc.source.conferencelocationSeattle
dc.source.endpage27830
dc.source.journalN/A
dc.source.numberofpages11
dc.subject.keywordsRANK
dc.subject.keywordsRECOVERY
dc.title

Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising

dc.typeProceedings paper
dspace.entity.typePublication
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