1. Fast, accurate, and lightweight super-resolution with cascading residual network;Ahn,2018
2. Low-complexity single-image super-resolution based on nonnegative neighbor embedding;Bevilacqua,2012
3. Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture;Eigen,2015
4. A variational pan-sharpening with local gradient constraints;Fu,2019
5. Dual attention network for scene segmentation;Fu,2019