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CVPR
2010
IEEE
13 years 7 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
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 (...
Xiuzhuang Zhou and Yao Lu
CVPR
2006
IEEE
16 years 1 days ago
Image-Segmentation Evaluation From the Perspective of Salient Object Extraction
Image segmentation and its performance evaluation are very difficult but important problems in computer vision. A major challenge in segmentation evaluation comes from the fundame...
Feng Ge, Song Wang, Tiecheng Liu
CVPR
2008
IEEE
16 years 1 days ago
Robust 3D face recognition in uncontrolled environments
Most current 3D face recognition algorithms are designed based on the data collected in controlled situations, which leads to the un-guaranteed performance in practical systems. I...
Cheng Zhong, Zhenan Sun, Tieniu Tan, Zhaofeng He
HPCA
2009
IEEE
15 years 4 months ago
Reconciling specialization and flexibility through compound circuits
While parallelism and multi-cores are receiving much attention as a major scalability path, customization is another, orthogonal and complementary, scalability path which can targ...
Sami Yehia, Sylvain Girbal, Hugues Berry, Olivier ...
RTAS
2008
IEEE
15 years 4 months ago
Hybrid Timing Analysis of Modern Processor Pipelines via Hardware/Software Interactions
Embedded systems are often subject to constraints that require determinism to ensure that task deadlines are met. Such systems are referred to as real-time systems. Schedulability...
Sibin Mohan, Frank Mueller