Image auto-annotation is an important open problem in
computer vision. For this task we propose TagProp, a discriminatively
trained nearest neighbor model. Tags of test
images a...
Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek...
In this paper we present AnatomyBrowser, a framework for integration of images and textual information in medical applications. AnatomyBrowser allows the user to combine 3D surfac...
Polina Golland, Ron Kikinis, Christopher Umans, Mi...
Extensive labeled data for image annotation systems, which learn to assign class labels to image regions, is difficult to obtain. We explore a hybrid model framework for utilizing...
Semantic scene classification based only on low-level vision cues has had limited success on unconstrained image sets. On the other hand, camera metadata related to capture condit...
Cell membrane proteins play an important role in tissue architecture and cell-cell communication. We hypothesize that segmentation and multivariate characterization of the distrib...
Ju Han, Hang Chang, Kumari L. Andarawewa, Paul Yas...