1. Efficient deep learning for stereo matching;Luo;TPAMI,2016
2. Learning to compare image patches via convolutional neural networks;Zagoruyko;CVPR,2015
3. Computing the stereo matching cost with a convolutional neural network;Zbontar;CVPR,2015
4. A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation;Mayer;CVPR,2016
5. Virtual DSLR: high quality dynamic depth-of-field synthesis on mobile platforms;Yang;Digital Photography and Mobile Imaging XII,2016