Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
Carolina Galleguillos, Boris Babenko, Andrew Rabin...
Detecting objects of interest from a video sequence is a fundamental and critical task in automated visual surveillance. Those objects can either be moving or stationary. However,...
The central topic of this work is the categories of modules over unital quantales. The main categorical properties are established and a special class of operators, called Q-module...
This paper presents a relative depth layer extraction system for monoscopic video, using multi-line filters and a layer selection algorithm. Main ideas are to extract multiple li...
A useful function of augmented reality (AR) systems is their ability to visualize occluded infrastructure directly in a user’s view of the environment. This is especially import...
Mark A. Livingston, J. Edward Swan II, Joseph L. G...