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» Quantifying Contextual Information for Object Detection
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ICMCS
2005
IEEE
340views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Adaptive local context suppression of multiple cues for salient visual attention detection
Visual attention is obtained through determination of contrasts of low level features or attention cues like intensity, color etc. We propose a new texture attention cue that is s...
Yiqun Hu, Deepu Rajan, Liang-Tien Chia
PAMI
2012
11 years 11 months ago
A Tree-Based Context Model for Object Recognition
—There has been a growing interest in exploiting contextual information in addition to local features to detect and localize multiple object categories in an image. A context mod...
Myung Jin Choi, Antonio Torralba, Alan S. Willsky
CGF
2008
125views more  CGF 2008»
13 years 8 months ago
Sparse points matching by combining 3D mesh saliency with statistical descriptors
This paper proposes new methodology for the detection and matching of salient points over several views of an object. The process is composed by three main phases. In the first st...
Umberto Castellani, Marco Cristani, Simone Fantoni...
WCRE
2005
IEEE
14 years 2 months ago
Diagnosing Design Problems in Object Oriented Systems
Software decay is a phenomenon that plagues aging software systems. While in recent years, there has been significant progress in the area of automatic detection of “code smells...
Adrian Trifu, Radu Marinescu
CVPR
2007
IEEE
14 years 10 months ago
A boosting regression approach to medical anatomy detection
The state-of-the-art object detection algorithm learns a binary classifier to differentiate the foreground object from the background. Since the detection algorithm exhaustively s...
Shaohua Kevin Zhou, Jinghao Zhou, Dorin Comaniciu