Low-Level Vision

R^2 Net Recurrent and Recursive Network for Sparse View CT Artifacts Removal
R^2 Net Recurrent and Recursive Network for Sparse View CT Artifacts Removal

We propose a novel neural network architecture to reduce streak artifacts generated in sparse-view 2D Cone Beam Computed To-mography (CBCT) image reconstruction.

Jun 19, 2019
Recurrent Squeeze-and-Excitation Net for Single Image Deraining
Recurrent Squeeze-and-Excitation Net for Single Image Deraining

We propose a novel deep network architecture based on deep convolutional and recurrent neural networksfor single image deraining.

Jul 19, 2018