Segmenting arbitrary unions of linear subspaces is an important tool for computer vision tasks such as motion and image segmentation, SfM or object recognition. We segment subspac...
Noisy or distorted video/audio training sets represent constant challenges in automated identification and verification tasks. We propose the method of Mutual Interdependence An...
There are many applications where multiple data sources, each with its own features, are integrated in order to perform an inference task in an optimal way. Researchers have shown...
Symmetry and self-similarity is the cornerstone of Nature, exhibiting itself through the shapes of natural creations and ubiquitous laws of physics. Since many natural objects are...
Daniel Raviv, Alexander M. Bronstein, Michael M. B...
Recent years have seen growing interest in mobile augmented reality. The ability to retrieve information and display it as virtual content overlaid on top of an image of the real ...
Jonathan Mooser, Lu Wang, Suya You, Ulrich Neumann