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» Object detection at multiple scales improves accuracy
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AINA
2009
IEEE
15 years 5 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 8 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 9 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
16 years 1 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 3 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