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» Object detection at multiple scales improves accuracy
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AINA
2009
IEEE
15 years 2 months ago
A New Method of Proactive Recovery Mechanism for Large-Scale Network Failures
—This paper proposes a novel recovery mechanism from large-scale network failures caused by earthquakes, terrorist attacks, large-scale power outages and software bugs. Our metho...
Takuro Horie, Go Hasegawa, Satoshi Kamei, Masayuki...
CVPR
2011
IEEE
14 years 6 months ago
Finding the Weakest Link in Person Detectors
Detecting people remains a popular and challenging problem in computer vision. In this paper, we analyze parts-based models for person detection to determine which components of t...
Devi Parikh, Larry Zitnick
ICCV
2009
IEEE
14 years 7 months ago
Selection and context for action recognition
Recognizing human action in non-instrumented video is a challenging task not only because of the variability produced by general scene factors like illumination, background, occlu...
Dong Han, Liefeng Bo, Cristian Sminchisescu
CVPR
2006
IEEE
15 years 11 months ago
Image-Based Multiclass Boosting and Echocardiographic View Classification
We tackle the problem of automatically classifying cardiac view for an echocardiographic sequence as a multiclass object detection. As a solution, we present an imagebased multicl...
Shaohua Kevin Zhou, J. H. Park, Bogdan Georgescu, ...
ICASSP
2011
IEEE
14 years 1 months ago
Video processing with scale-aware saliency: Application to Frame Rate Up-Conversion
A new method for scale-aware saliency detection is introduced in this work. Scale determination is realized through a fast scale-space algorithm using color and texture. Scale inf...
Natan Jacobson, Truong Q. Nguyen