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» Max-Margin Additive Classifiers for Detection
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CVPR
2005
IEEE
14 years 9 months ago
Learning Spatiotemporal T-Junctions for Occlusion Detection
The goal of motion segmentation and layer extraction can be viewed as the detection and localization of occluding surfaces. A feature that has been shown to be a particularly stro...
Nicholas Apostoloff, Andrew W. Fitzgibbon
CVPR
2012
IEEE
11 years 10 months ago
Contextual Boost for Pedestrian Detection
Pedestrian detection from images is an important and yet challenging task. The conventional methods usually identify human figures using image features inside the local regions. In...
Yuanyuan Ding, Jing Xiao
ECCV
2008
Springer
14 years 9 months ago
Cat Head Detection - How to Effectively Exploit Shape and Texture Features
In this paper, we focus on the problem of detecting the head of cat-like animals, adopting cat as a test case. We show that the performance depends crucially on how to effectively ...
Weiwei Zhang, Jian Sun, Xiaoou Tang
BMCBI
2007
131views more  BMCBI 2007»
13 years 7 months ago
Prediction of peptides observable by mass spectrometry applied at the experimental set level
Background: When proteins are subjected to proteolytic digestion and analyzed by mass spectrometry using a method such as 2D LC MS/MS, only a portion of the proteotypic peptides a...
William S. Sanders, Susan M. Bridges, Fiona M. McC...
CVPR
2009
IEEE
1385views Computer Vision» more  CVPR 2009»
15 years 1 hour ago
Distance Transform Templates for Object Detection and Pose Estimation
We propose a new approach for detecting low textured planar objects and estimating their 3D pose. Standard matching and pose estimation techniques often depend on texture and fe...
Stefan Holzer, Stefan Hinterstoisser, Slobodan Ili...