Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...
The intrinsic image decomposition aims to retrieve “intrinsic”
properties of an image, such as shading and reflectance.
To make it possible to quantitatively compare
differe...
Roger Grosse, Micah K. Johnson, Edward H. Adelson,...
Stereo correspondence methods rely on matching costs for computing the similarity of image locations. In this paper we evaluate the insensitivity of different matching costs with ...
In this paper, we evaluate and investigate two main types of relevance feedback algorithms; the Euclidean and the correlation?based approaches. In the first case, we examine heuri...
We present metrics to evaluate the performance of video object segmentation and tracking methods quantitatively when groundtruth segmentation maps are not available. The proposed ...