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ASPLOS
2011
ACM
13 years 1 months ago
On-the-fly elimination of dynamic irregularities for GPU computing
The power-efficient massively parallel Graphics Processing Units (GPUs) have become increasingly influential for scientific computing over the past few years. However, their ef...
Eddy Z. Zhang, Yunlian Jiang, Ziyu Guo, Kai Tian, ...
ICCV
2005
IEEE
15 years 5 days ago
When Does a Camera See Rain?
Rain produces sharp intensity fluctuations in images and videos, which degrade the performance of outdoor vision systems. These intensity fluctuations depend on various factors, s...
Kshitiz Garg, Shree K. Nayar
CVPR
2006
IEEE
15 years 8 days ago
Image Denoising Via Learned Dictionaries and Sparse representation
We address the image denoising problem, where zeromean white and homogeneous Gaussian additive noise should be removed from a given image. The approach taken is based on sparse an...
Michael Elad, Michal Aharon
ECCV
2008
Springer
15 years 4 days ago
Online Sparse Matrix Gaussian Process Regression and Vision Applications
We present a new Gaussian Process inference algorithm, called Online Sparse Matrix Gaussian Processes (OSMGP), and demonstrate its merits with a few vision applications. The OSMGP ...
Ananth Ranganathan, Ming-Hsuan Yang
ICIP
2003
IEEE
14 years 12 months ago
Inhomogeneity correction of magnetic resonance images by minimization of intensity overlapping
This work presents a new algorithm (NIC; Non-uniform Intensity Correction) for the correction of intensity inhomogeneities in magnetic resonance images. The algorithm has been val...
Juan D. Gispert, Santiago Reig, Javier Pascau, Rau...