This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Abstract. Manual surface reconstruction is still an everyday practice in applications involving complex irregular domains necessary for modeling biological systems. Rapid developme...
Background: The amount of available biological information is rapidly increasing and the focus of biological research has moved from single components to networks and even larger ...
Stephanie Heinen, Bernhard Thielen, Dietmar Schomb...
Abstract— Learning inverse kinematics has long been fascinating the robot learning community. While humans acquire this transformation to complicated tool spaces with ease, it is...
Attributes are visual concepts that can be detected by machines, understood by humans, and shared across categories. They are particularly useful for fine-grained domains where c...
Kun Duan, Devi Parikh, David J. Crandall, Kristen ...