People identification is an essential task for video content analysis in a surveillance system. A good classifier, however, requires a large amount of training data, which may not...
Currently, video analysis algorithms suffer from lack of information
regarding the objects present, their interactions,
as well as from missing comprehensive annotated video
dat...
Jenny Yuen, Bryan Russell, Ce Liu, Antonio Torralb...
For complex tasks such as parse selection, the creation of labelled training sets can be extremely costly. Resource-efficient schemes for creating informative labelled material mu...
Abstract. In this paper, we propose a framework for learning the parameters of registration cost functions ? such as the tradeoff between the regularization and image similiarity t...
B. T. Thomas Yeo, Mert R. Sabuncu, Polina Gollan...
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...