Previous studies have shown that array regrouping and structure splitting significantly improve data locality. The most effective technique relies on profiling every access to eve...
We present a real-time algorithm called compensated ray marching for rendering of smoke under dynamic low-frequency environment lighting. Our approach is based on a decomposition ...
Kun Zhou, Zhong Ren, Stephen Lin, Hujun Bao, Baini...
The compositional nature of visual objects significantly limits their representation complexity and renders learning of structured object models tractable. Adopting this modeling ...
Markov Random Fields (MRFs) are proposed as viable stochastic models for the spatial distribution of gray level intensities for images of human faces. These models are trained usi...
Task-selection policies are critical to the performance of any architecture that uses speculation to extract parallel tasks from a sequential thread. This paper demonstrates that ...
Mayank Agarwal, Kshitiz Malik, Kevin M. Woley, Sam...