Object detectors are typically trained on a large set of still images annotated by bounding-boxes. This paper introduces an approach for learning object detectors from realworld w...
Alessandro Prest, Christian Leistner, Javier Civer...
Scene labeling research has mostly focused on outdoor scenes, leaving the harder case of indoor scenes poorly understood. Microsoft Kinect dramatically changed the landscape, show...
Objective image/video quality measures play important roles in various image/video processing applications, such as compression, communication, printing, analysis, registration, r...
In this paper we present a mixture density based approach to invariant image object recognition. We start our experiments using Gaussian mixture densities within a Bayesian classi...
* A common task in cell and molecular biology is to evaluate the difference or similarity among location patterns under different circumstances. Our previous work has described an...