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85
Voted
ICCV
2007
IEEE
16 years 5 days ago
Hierarchical Part-Template Matching for Human Detection and Segmentation
Local part-based human detectors are capable of handling partial occlusions efficiently and modeling shape articulations flexibly, while global shape template-based human detector...
Zhe Lin, Larry S. Davis, David S. Doermann, Daniel...
AMDO
2008
Springer
15 years 7 days ago
Body-Part Templates for Recovery of 2D Human Poses under Occlusion
Detection of humans and estimation of their 2D poses from a single image are challenging tasks. This is especially true when part of the observation is occluded. However, given a l...
Ronald Poppe, Mannes Poel
107
Voted
CVPR
2012
IEEE
13 years 19 days ago
Learning 3D object templates by hierarchical quantization of geometry and appearance spaces
This paper presents a method for learning 3D object templates from view labeled object images. The 3D template is defined in a joint appearance and geometry space, and is compose...
Wenze Hu
92
Voted
ECCV
2008
Springer
16 years 3 days ago
A Pose-Invariant Descriptor for Human Detection and Segmentation
We present a learning-based, sliding window-style approach for the problem of detecting humans in still images. Instead of traditional concatenation-style image location-based feat...
Zhe Lin, Larry S. Davis
ACCV
2007
Springer
15 years 4 months ago
Simultaneous Appearance Modeling and Segmentation for Matching People Under Occlusion
We describe an approach to segmenting foreground regions corresponding to a group of people into individual humans. Given background subtraction and ground plane homography, hierar...
Zhe Lin, Larry S. Davis, David S. Doermann, Daniel...