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» Situation Recognition: Representation and Algorithms
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AROBOTS
2007
159views more  AROBOTS 2007»
13 years 8 months ago
Structure-based color learning on a mobile robot under changing illumination
— A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. To operate in the real world, autonomo...
Mohan Sridharan, Peter Stone
CVPR
2009
IEEE
1528views Computer Vision» more  CVPR 2009»
15 years 24 days ago
Structured Output-Associative Regression
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
Liefeng Bo and Cristian Sminchisescu
CVPR
2000
IEEE
14 years 10 months ago
Fixed Topology Skeletons
In this paper, we present a novel approach to robust skeleton extraction. We use undirected graphs to model connectivity of the skeleton points. The graph topology remains unchang...
Polina Golland, W. Eric L. Grimson
CVPR
2010
IEEE
14 years 4 months ago
Automatic Discovery of Meaningful Object Parts with Latent CRFs
Object recognition is challenging due to high intra-class variability caused, e.g., by articulation, viewpoint changes, and partial occlusion. Successful methods need to strike a...
Paul Schnitzspan, Stefan Roth, Bernt Schiele
CVPR
2010
IEEE
14 years 3 months ago
Interest Seam Image
We propose interest seam image, an efficient visual synopsis for video. To extract an interest seam image, a spatiotemporal energy map is constructed for the target video shot. T...
Xiao Zhang, Gang Hua, Lei Zhang, Heung-Yeung Shum