We present a novel approach for multi-object tracking which considers object detection and spacetime trajectory estimation as a coupled optimization problem. It is formulated in a...
Abstract. It is common to think of a "learner model" as a global description of a student's understanding of domain content. We propose a notion of learner model whe...
Gordon I. McCalla, Julita Vassileva, Jim E. Greer,...
The paper presents a single-pass, view-dependent method to solve the general rendering equation, using a combined finite element and random walk approach. Applying finite element t...
We present a practical, stratified autocalibration algorithm with theoretical guarantees of global optimality. Given a projective reconstruction, the first stage of the algorithm ...
Global variable promotion, i.e. allocating unaliased globals to registers, can significantly reduce the number of memory operations. This results in reduced cache activity and less...