Learning the knowledge of scene structure and tracking a large number of targets are both active topics of computer vision in recent years, which plays a crucial role in surveilla...
Xuan Song, Xiaowei Shao, Huijing Zhao, Jinshi Cui,...
For the past two decades, developments in DRAM technology, the primary technology for the main memory of computers, have been directed towards increasing density. As a result 256 M...
We present a weakly compressible form of the Smoothed Particle Hydrodynamics method (SPH) for fluid flow based on the Tait equation. In contrast to commonly employed projection ap...
Robust tracking of abrupt motion is a challenging task
in computer vision due to the large motion uncertainty. In
this paper, we propose a stochastic approximation Monte
Carlo (...
Abstract. Some have argued that the dichotomy between high-performance operation and low resource utilization is false – an artifact that will soon succumb to Moore’s Law and c...
JeongGil Ko, Kevin Klues, Christian Richter, Wanja...