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Cluster Sparsity Field for Hyperspectral Imagery Denoising.

L. Zhang, W. Wei, Y. Zhang, C. Shen, A. van den Hengel, and Q. Shi. ECCV (5), volume 9909 of Lecture Notes in Computer Science, page 631-647. Springer, (2016)

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Denise van den Nouland

Jörg van den Hoff

Hendrik van den Bussche

Johannes van den Boom

Jörg van den Hoff

Other publications of authors with the same name

Fast Training of Effective Multi-class Boosting Using Coordinate Descent OptimizationG. Lin, C. Shen, A. van den Hengel, and D. Suter. Computer Vision -- ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part II, page 782--795. Berlin, Heidelberg, Springer Berlin Heidelberg, (2013)Exploring Context with Deep Structured Models for Semantic Segmentation.G. Lin, C. Shen, A. van den Hengel, and I. Reid. IEEE Trans. Pattern Anal. Mach. Intell., 40 (6): 1352-1366 (2018)Bridging Category-level and Instance-level Semantic Image Segmentation.Z. Wu, C. Shen, and A. van den Hengel. CoRR, (2016)Online Unsupervised Feature Learning for Visual Tracking.F. Liu, C. Shen, I. Reid, and A. van den Hengel. CoRR, (2013)Exploring Context with Deep Structured models for Semantic Segmentation.G. Lin, C. Shen, A. van den Hengel, and I. Reid. CoRR, (2016)Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation.G. Lin, C. Shen, A. van den Hengel, and I. Reid. CVPR, page 3194-3203. IEEE Computer Society, (2016)Revisiting Hartley's Normalized Eight-Point Algorithm.W. Chojnacki, M. Brooks, A. van den Hengel, and D. Gawley. IEEE Trans. Pattern Anal. Mach. Intell., 25 (9): 1172-1177 (2003)Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning.M. McDonnell, D. Gong, E. Abbasnejad, and A. van den Hengel. CoRR, (2024)Unshuffling Data for Improved Generalization in Visual Question Answering.D. Teney, E. Abbasnejad, and A. van den Hengel. ICCV, page 1397-1407. IEEE, (2021)End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging.G. Snaauw, D. Gong, G. Maicas, A. van den Hengel, W. Niessen, J. Verjans, and G. Carneiro. ISBI, page 802-805. IEEE, (2019)

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Disambiguation of "van den Hengel, Anton"

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Cluster Sparsity Field for Hyperspectral Imagery Denoising.

Please choose a person to relate this publication to

Denise van den Nouland

Jörg van den Hoff

Hendrik van den Bussche

Johannes van den Boom

Jörg van den Hoff

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "van den Hengel, Anton"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Cluster Sparsity Field for Hyperspectral Imagery Denoising.

Please choose a person to relate this publication to

Denise van den Nouland

Jörg van den Hoff

Hendrik van den Bussche

Johannes van den Boom

Jörg van den Hoff

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Cluster Sparsity Field for Hyperspectral Imagery Denoising.

Hendrik van den Bussche