This paper proposes EventCJ, a context-oriented programming (COP) language that can modularly control layer activation based on user-defined events. In addition to defining cont...
The paper presents a fusion-tracker and pedestrian classifier for color and thermal cameras. The tracker builds a background model as a multi-modal distribution of colors and temp...
In this paper, we propose a new approach for face shape recovery from a single image. A single near infrared (NIR) image is used as the input, and a mapping from the NIR tensor sp...
This paper describes a method for estimating a human spine posture from human images using a human spine model to compute the rough approximation of the physical forces working on ...
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...