This paper presents a novel processing scheme for the automatic computation of a medial shape model which is representative for an object population with shape variability. The se...
We present a new variational framework for recovery of apparent diffusion coefficient (ADC) from High Angular Resolution Diffusion-weighted (HARD) MRI. The model approximates the ...
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...
Stereo matching algorithms conventionally match over a range of disparities sufficient to encompass all visible 3D scene points. Human vision however does not do this. It works ov...
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
Shuicheng Yan, Dong Xu, Stephen Lin, Thomas S. Hua...