RANSAC (Random Sample Consensus) is a popular and effective technique for estimating model parameters in the presence of outliers. Efficient algorithms are necessary for both fram...
Paul McIlroy, Edward Rosten, Simon Taylor, Tom Dru...
This paper presents an algorithm that detects and tracks marine vessels in video taken by a non-stationary camera installed on an untethered buoy. 1 The video is characterized by ...
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
We present a novel approach to constraintbased causal discovery, that takes the form of straightforward logical inference, applied to a list of simple, logical statements about ca...
The matching and retrieval of 2D shapes is an important
challenge in computer vision. A large number of shape
similarity approaches have been developed, with the main
focus bein...
Xingwei Yang (Temple University), Suzan Koknar-Tez...