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» Graph-Theoretical Methods in Computer Vision
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CVPR
2012
IEEE
13 years 2 months ago
Detection by detections: Non-parametric detector adaptation for a video
We propose an approach to improving the detection results of a generic offline trained detector on a specific video. Our method does not leverage visual tracking as most detecti...
Xiaoyu Wang, Gang Hua, Tony X. Han
107
Voted
CVPR
2007
IEEE
16 years 2 months ago
Nonnegative Tucker Decomposition
Nonnegative tensor factorization (NTF) is a recent multiway (multilinear) extension of nonnegative matrix factorization (NMF), where nonnegativity constraints are imposed on the C...
Yong-Deok Kim, Seungjin Choi
149
Voted
ICPR
2008
IEEE
15 years 6 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock
ICCV
2007
IEEE
16 years 2 months ago
A Variational Method for Scene Flow Estimation from Stereo Sequences
This paper presents a method for scene flow estimation from a calibrated stereo image sequence. The scene flow contains the 3-D displacement field of scene points, so that the 2-D...
Frederik Huguet, Frederic Devernay
CVPR
2004
IEEE
16 years 2 months ago
Automatic Method for Correlating Horizons across Faults in 3D Seismic Data
Horizons are visible boundaries between certain sediment layers in seismic data, and a fault is a crack of horizons and it is recognized in seismic data by the discontinuities of ...
Fitsum Admasu, Klaus D. Tönnies