Many computer vision algorithms limit their performance by ignoring the underlying 3D geometric structure in the image. We show that we can estimate the coarse geometric propertie...
We present a two-layer hierarchical formulation to exploit different levels of contextual information in images for robust classification. Each layer is modeled as a conditional f...
This paper proposes a context-constrained hallucination approach for image super-resolution. Through building a training set of high-resolution/low-resolution image segment pairs,...
We present an interactive visualization tool that provides users with the capability of cutting away the surfaces of enclosing objects to reveal interior or occluded objects. This ...
The study of non-sequential alignments, with different connectivity of the aligned fragments in the proteins being compared can offer a more complete picture of the structural, evo...