Fast Image Deconvolution using Hyper-Laplacian Priors
- Authors
- Dilip KrishnanRob Fergus
- Journal
- Neural Information Processing Systems
In The Last Decade
doi.org/w8317197 →Countries where authors are citing Fast Image Deconvolution using Hyper-Laplacian Priors
This map shows the geographic impact of Fast Image Deconvolution using Hyper-Laplacian Priors. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fast Image Deconvolution using Hyper-Laplacian Priors with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fast Image Deconvolution using Hyper-Laplacian Priors more than expected).
Fields of papers citing Fast Image Deconvolution using Hyper-Laplacian Priors
This network shows the impact of Fast Image Deconvolution using Hyper-Laplacian Priors. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Fast Image Deconvolution using Hyper-Laplacian Priors.
About Fast Image Deconvolution using Hyper-Laplacian Priors
This paper, published in 2009, received 800 indexed citations . Written by Dilip Krishnan and Rob Fergus covering the research area of Computational Mechanics and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (708 citations), Media Technology (436 citations) and Computational Mechanics (174 citations). Published in Neural Information Processing Systems.
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This paper is also available at doi.org/w8317197.