This paper presents a generative model based approach to man-made structure detection in 2D natural images. The proposed approach uses a causal multiscale random field suggested i...
This paper describes a hierarchical Bayesian network used for segmenting desert images and detecting off road drivable corridors for autonomous navigation. Unlike the embedded hid...
This paper proposes a new technique in wavelet video compression that exploits the spatiotemporal regularity of the video. A sequence of frames is said to be regular along the dire...
In this paper we introduce the idea of using Computer Vision techniques for improving and enhancing watermarking capabilities. Specifically, we incorporate Geometric Hashing techn...
Recent approaches to learning structured predictors often require approximate inference for tractability; yet its effects on the learned model are unclear. Meanwhile, most learnin...