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CVPR
2009
IEEE
1216views Computer Vision» more  CVPR 2009»
16 years 5 months ago
Marked Point Processes for Crowd Counting
A Bayesian marked point process (MPP) model is developed to detect and count people in crowded scenes. The model couples a spatial stochastic process governing number and placem...
Robert T. Collins, Weina Ge
ICIP
2010
IEEE
14 years 8 months ago
Monocular Extraction of 2.1D Sketch
The 2.1D sketch is a layered representation of occluding and occluded surfaces of the scene. Extracting the 2.1D sketch from a single image is a difficult and important problem ar...
Mohamed Amer, Raviv Raich, Sinisa Todorovic
KI
2010
Springer
14 years 8 months ago
Situation-Specific Intention Recognition for Human-Robot Cooperation
Recognizing human intentions is part of the decision process in many technical devices. In order to achieve natural interaction, the required estimation quality and the used comput...
Peter Krauthausen, Uwe D. Hanebeck
EDM
2009
114views Data Mining» more  EDM 2009»
14 years 8 months ago
Reducing the Knowledge Tracing Space
In Cognitive Tutors, student skill is represented by estimates of student knowledge on various knowledge components. The estimate for each knowledge component is based on a four-pa...
Steven Ritter, Thomas K. Harris, Tristan Nixon, Da...
86
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ICIP
2009
IEEE
14 years 8 months ago
An automatic Structure-Aware image extrapolation applied to error concealment
A novel framework for spatially estimating unknown image data is presented. Common applications include inpainting, concealment of transmission errors, prediction in video coding,...
Haricharan Lakshman, Patrick Ndjiki-Nya, Martin K&...