Background modeling has emerged as a popular foreground detection technique for various
applications in video surveillance. Background modeling methods have become increasing …

We present the full-resolution correspondence learning for cross-domain images, which aids
image translation. We adopt a hierarchical strategy that uses the correspondence from …

The FlowNet demonstrated that optical flow estimation can be cast as a learning problem.
However, the state of the art with regard to the quality of the flow has still been defined by …

We present a new, massively parallel method for high-quality multiview matching. Our work
builds on the Patchmatch idea: starting from randomly generated 3D planes in scene space …

It has been recently shown that a convolutional neural network can learn optical flow
estimation with unsuper-vised learning. However, the performance of the unsuper-vised …

Classical approaches for estimating optical flow have achieved rapid progress in the last
decade. However, most of them are too slow to be applied in real-time video analysis. Due …