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1.Deep Learning
Yoshua Bengio
Ian Goodfellow
Aaron Courville

October 03, 2015


2.Deep Face Recognition

3.GoogleNet Going Deeper

4.Deep Residual Learning for Image Recognition Hekaiming

5.Deep Residual Learning for Image Recognition

6.Fully Convolutional Networks for Semantic Segmentation

7.Fully Convolutional Networks for Semantic Segmentation

8.A General Framework for Fast Image
Deconvolution with Incomplete Observations.
Applications to Unknown Boundaries, Inpainting,
Superresolution, and Demosaicing

9.Beyond Color Difference: Residual Interpolation for
Color Image Demosaicking

10.Color Image Demosaicing Using
Iterative Residual Interpolation

11.Color imagedemosaickingusinginter-channelcorrelation
and nonlocalself-similarity

12.EFFICIENT REGRESSION PRIORS FOR POST-PROCESSING DEMOSAICED IMAGES



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