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CVPR
2008
IEEE
15 years 11 months ago
A hierarchical and contextual model for aerial image understanding
In this paper we present a novel method for parsing aerial images with a hierarchical and contextual model learned in a statistical framework. We learn hierarchies at the scene an...
Jake Porway, Kristy Wang, Benjamin Yao, Song Chun ...
CVPR
2009
IEEE
2358views Computer Vision» more  CVPR 2009»
16 years 4 months ago
Pictorial Structures Revisited: People Detection and Articulated Pose Estimation
Non-rigid object detection and articulated pose estimation are two related and challenging problems in computer vision. Numerous models have been proposed over the years and oft...
Mykhaylo Andriluka (TU Darmstadt), Stefan Roth (TU...
CVPR
2007
IEEE
15 years 11 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
151
Voted
CVPR
2011
IEEE
14 years 5 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
141
Voted
CVPR
2010
IEEE
2187views Computer Vision» more  CVPR 2010»
15 years 5 months ago
3D Scene Priors for Road Detection
Vision-based road detection is important in different areas of computer vision such as autonomous driving, car collision warning and pedestrian crossing detection. However, curre...
Jose M. Alvarez, Theo Gevers, Antonio M. Lopez