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» POP: Patchwork of Parts Models for Object Recognition
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EMMCVPR
2007
Springer
15 years 4 months ago
Bottom-Up Recognition and Parsing of the Human Body
Recognizing humans, estimating their pose and segmenting their body parts are key to high-level image understanding. Because humans are highly articulated, the range of deformation...
Praveen Srinivasan, Jianbo Shi
CVPR
2006
IEEE
15 years 12 months ago
Extracting Subimages of an Unknown Category from a Set of Images
Suppose a set of images contains frequent occurrences of objects from an unknown category. This paper is aimed at simultaneously solving the following related problems: (1) unsupe...
Sinisa Todorovic, Narendra Ahuja
INFORMATICALT
2008
137views more  INFORMATICALT 2008»
14 years 10 months ago
Acoustic Modelling for Croatian Speech Recognition and Synthesis
This paper presents the Croatian context-dependent acoustic modelling used in speech recognition and in speech synthesis. The proposed acoustic model is based on context-dependent ...
Sanda Martincic-Ipsic, Slobodan Ribaric, Ivo Ipsic
DAS
2006
Springer
15 years 1 months ago
Offline Handwritten Arabic Character Segmentation with Probabilistic Model
The research on offline handwritten Arabic character recognition has received more and more attention in recent years, because of the increasing needs of Arabic document digitizati...
Pingping Xiu, Liangrui Peng, Xiaoqing Ding, Hua Wa...
CVPR
2009
IEEE
2358views Computer Vision» more  CVPR 2009»
16 years 5 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...