This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
We present an efficient and robust algorithm for finding points of collision between time-dependent parametric and implicit surfaces. The algorithm detects simultaneous collisio...
John M. Snyder, Adam R. Woodbury, Kurt W. Fleische...
Abstract. There has been great success in speeding up global illumination computation in diffuse environments. The concept of clustering allows radiosity computations even for scen...
Marc Stamminger, Philipp Slusallek, Hans-Peter Sei...
This paper presents a solution for texture mapping unparameterized models. The quality of a texture on a model is often limited by the model's parameterization into a 2D text...
David (grue) DeBry, Jonathan Gibbs, Devorah DeLeon...
We analyze the computational complexity of kCFA, a hierarchy of control flow analyses that determine which functions may be applied at a given call-site. This hierarchy specifies ...