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ICIP
2006
IEEE
16 years 4 months ago
Denoising Archival Films using a Learned Bayesian Model
We develop a Bayesian model of digitized archival films and use this for denoising, or more specifically de-graining, individual frames. In contrast to previous approaches our mod...
Teodor Mihai Moldovan, Stefan Roth, Michael J. Bla...
154
Voted
ICCV
2009
IEEE
15 years 9 days ago
Modeling 3D human poses from uncalibrated monocular images
This paper introduces an efficient algorithm that reconstructs 3D human poses as well as camera parameters from a small number of 2D point correspondences obtained from uncalibrat...
Xiaolin K. Wei, Jinxiang Chai
123
Voted
NIPS
1998
15 years 3 months ago
Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model
We examine the statistics of natural monochromatic images decomposed using a multi-scale wavelet basis. Although the coefficients of this representation are nearly decorrelated, t...
Eero P. Simoncelli, Odelia Schwartz
112
Voted
IFIP
1994
Springer
15 years 6 months ago
Trends in Environmental Information Processing
In recent years, systems for processing environmental information have been evolving from research and development systems to practical applications. Today, many of these systems ...
Franz Josef Radermacher, Wolf-Fritz Riekert, Bernd...
107
Voted
ISBI
2007
IEEE
15 years 8 months ago
Noise and Artifact Removal in Knife-Edge Scanning Microscopy
Knife-Edge Scanning Microscopy (KESM) is a recently developed technique that allows fast and automated imaging of several hundred cubic millimeters of tissue at sub-micron resolut...
David Mayerich, Bruce H. McCormick, John Keyser