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» Learning from Highly Structured Data by Decomposition
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ECCV
2008
Springer
16 years 6 months ago
Learning Optical Flow
Assumptions of brightness constancy and spatial smoothness underlie most optical flow estimation methods. In contrast to standard heuristic formulations, we learn a statistical mod...
Deqing Sun, Stefan Roth, J. P. Lewis, Michael J. B...
179
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CG
2008
Springer
15 years 4 months ago
Parallel techniques for physically based simulation on multi-core processor architectures
As multi-core processor systems become more and more widespread, the demand for efficient parallel algorithms also propagates into the field of computer graphics. This is especial...
Bernhard Thomaszewski, Simon Pabst, Wolfgang Bloch...
TCSV
2008
130views more  TCSV 2008»
15 years 4 months ago
Aliasing Reduction via Frequency Roll-Off for Scalable Image/Video Coding
The extracted low resolution video from a motion compensated 3-D subband/wavelet scalable video coder is unnecessarily sharp and sometimes contains significant aliasing, compared ...
Yongjun Wu, John W. Woods
ICASSP
2010
IEEE
15 years 4 months ago
Ultrasound tomography with learned dictionaries
We propose a new method for imaging sound speed in breast tissue from measurements obtained by ultrasound tomography (UST) scanners. Given the measurements, our algorithm finds a...
Ivana Tosic, Ivana Jovanovic, Pascal Frossard, Mar...
CVPR
2008
IEEE
16 years 6 months ago
Max Margin AND/OR Graph learning for parsing the human body
We present a novel structure learning method, Max Margin AND/OR Graph (MM-AOG), for parsing the human body into parts and recovering their poses. Our method represents the human b...
Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan...