The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
We present an algorithm for segmentation of traffic scenes that distinguishes moving objects from cast shadows. Three image features at each pixel site are considered: brightness,...
Ivana Mikic, Pamela C. Cosman, Greg T. Kogut, Moha...
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
One of the major problems in modeling images for vision tasks is that images with very similar structure may locally have completely different appearance, e.g., images taken under...
Abstract. This paper presents a method to segment the hand over complex backgrounds, such as the face. The similar colors and texture of the hand and face make the problem particul...