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» Training-Free, Generic Object Detection Using Locally Adapti...
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96
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PAMI
2010
128views more  PAMI 2010»
14 years 11 months ago
Training-Free, Generic Object Detection Using Locally Adaptive Regression Kernels
Hae Jong Seo, Peyman Milanfar
125
Voted
ICIP
2008
IEEE
16 years 2 months ago
Using local regression kernels for statistical object detection
We present a novel approach to the problem of detection of visual similarity between a template image, and patches in a given image. The method is based on the computation of a lo...
Hae Jong Seo, Peyman Milanfar
ICASSP
2011
IEEE
14 years 4 months ago
Combining generic and class-specific codebooks for object categorization and detection
Combining advantages of shape and appearance features, we propose a novel model that integrates these two complementary features into a common framework for object categorization ...
Hong Pan, Yaping Zhu, Liang-Zheng Xia, Truong Q. N...
121
Voted
DAGM
2009
Springer
15 years 7 months ago
Active Structured Learning for High-Speed Object Detection
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
Christoph H. Lampert, Jan Peters
147
Voted
CVPR
2010
IEEE
14 years 11 months ago
Adaptive pose priors for pictorial structures
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
Benjamin Sapp, Chris Jordan, Ben Taskar