— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
—Effective three-dimensional streamline placement and visualization plays an essential role in many science and engineering disciplines. The main challenge for effective streamli...
Detecting image pairs with a common field of view is
an important prerequisite for many computer vision tasks.
Typically, common local features are used as a criterion
for ident...
Tensor based dimensionality reduction has recently been extensively studied for computer vision applications. To our knowledge, however, there exist no rigorous error analysis on ...
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
Ramanan Navaratnam, Andrew W. Fitzgibbon, Roberto ...