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» Learning to display high dynamic range images
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CVPR
2008
IEEE
14 years 8 months ago
Context and observation driven latent variable model for human pose estimation
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...
Abhinav Gupta, Trista Chen, Francine Chen, Don Kim...
SIGGRAPH
2010
ACM
13 years 10 months ago
envyLight: an interface for editing natural illumination
Scenes lit with high dynamic range environment maps of real-world environments exhibit all the complex nuances of natural illumination. For applications that need lighting adjustm...
Fabio Pellacini
HPDC
2009
IEEE
14 years 27 days ago
Maintaining reference graphs of globally accessible objects in fully decentralized distributed systems
Since the advent of electronic computing, the processors’ clock speed has risen tremendously. Now that energy efficiency requirements have stopped that trend, the number of proc...
Björn Saballus, Thomas Fuhrmann
ICAC
2005
IEEE
13 years 11 months ago
Towards Autonomic Virtual Applications in the In-VIGO System
Grid environments enable users to share non-dedicated resources that lack performance guarantees. This paper describes the design of application-centric middleware components to a...
Jing Xu, Sumalatha Adabala, José A. B. Fort...
ECCV
2006
Springer
14 years 8 months ago
Robust Attentive Behavior Detection by Non-linear Head Pose Embedding and Estimation
We present a new scheme to robustly detect a type of human attentive behavior, which we call frequent change in focus of attention (FCFA), from video sequences. FCFA behavior can b...
Nan Hu, Weimin Huang, Surendra Ranganath