Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...
Abstract. We present a new generic method for vascular segmentation of angiography. Angiography is used for the medical diagnosis of arterial diseases. To facilitate an effective a...
Wilbur C. K. Wong, Albert C. S. Chung, Simon C. H....
Abstract. The visual analysis of human manipulation actions is of interest for e.g. human-robot interaction applications where a robot learns how to perform a task by watching a hu...
We present an image restoration method that leverages
a large database of images gathered from the web. Given
an input image, we execute an efficient visual search to
find the c...
Kevin Dale, Micah K. Johnson, Kalyan Sunkavalli, W...