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» Learning Hierarchical Models of Scenes, Objects, and Parts
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CVPR
2010
IEEE
15 years 6 months ago
Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities
Detecting objects in cluttered scenes and estimating articulated human body parts are two challenging problems in computer vision. The difficulty is particularly pronounced in ac...
Bangpeng Yao, Li Fei-Fei
ICCSA
2003
Springer
15 years 2 months ago
Camera Models and Optical Systems Used in Computer Graphics: Part I, Object-Based Techniques
Abstract. Images rendered with traditional computer graphics techniques, such as scanline rendering and ray tracing, appear focused at all depths. However, there are advantages to ...
Brian A. Barsky, Daniel R. Horn, Stanley A. Klein,...
CVPR
2010
IEEE
14 years 10 months ago
Scene understanding by statistical modeling of motion patterns
We present a novel method for the discovery and statistical representation of motion patterns in a scene observed by a static camera. Related methods involving learning of pattern...
Imran Saleemi, Lance Hartung, Mubarak Shah
ICRA
2010
IEEE
170views Robotics» more  ICRA 2010»
14 years 8 months ago
Dynamic 3D scene analysis for acquiring articulated scene models
— In this paper we present a new system for a mobile robot to generate an articulated scene model by analyzing complex dynamic 3D scenes. The system extracts essential knowledge ...
Agnes Swadzba, Niklas Beuter, Sven Wachsmuth, Fran...
CVPR
2007
IEEE
15 years 11 months ago
Unsupervised Segmentation of Objects using Efficient Learning
We describe an unsupervised method to segment objects detected in images using a novel variant of an interest point template, which is very efficient to train and evaluate. Once a...
Himanshu Arora, Nicolas Loeff, David A. Forsyth, N...