This paper introduces a ”Diminished Reality” technique for removing an object or collection of objects and replacing it with an appropriate background image. Diminished Realit...
Abstract. Domain adaptation is an important emerging topic in computer vision. In this paper, we present one of the first studies of domain shift in the context of object recogniti...
Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darr...
—In this work, we address the problem of performing class-specific unsupervised object segmentation, i.e., automatic segmentation without annotated training images. Object segmen...
Inspired by tensor voting, we present luminance voting, a novel approach for image registration with global and local luminance alignment. The key to our modeless approach is the ...
An increasing interest in the soft hashing problem has been witnessed in recent times. Techniques implementing soft hashing intend to mirror the behaviour of cryptographic hashing...