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» Random Walks for Image Segmentation
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ICVS
2009
Springer
13 years 12 months ago
Learning Objects and Grasp Affordances through Autonomous Exploration
Abstract. We describe a system for autonomous learning of visual object representations and their grasp affordances on a robot-vision system. It segments objects by grasping and mo...
Dirk Kraft, Renaud Detry, Nicolas Pugeault, Emre B...
CVPR
2011
IEEE
13 years 1 months ago
Learning to Find Occlusion Regions
For two consecutive frames in a video, we identify which pixels in the first frame become occluded in the second. Such general-purpose detection of occlusion regions is difficul...
Ahmad Humayun, Oisin Mac Aodha, Gabriel Brostow
ICML
2008
IEEE
14 years 6 months ago
Training structural SVMs when exact inference is intractable
While discriminative training (e.g., CRF, structural SVM) holds much promise for machine translation, image segmentation, and clustering, the complex inference these applications ...
Thomas Finley, Thorsten Joachims
ACISICIS
2007
IEEE
13 years 11 months ago
Minimum Message Length Clustering of Spatially-Correlated Data with Varying Inter-Class Penalties
We present here some applications of the Minimum Message Length (MML) principle to spatially correlated data. Discrete valued Markov Random Fields are used to model spatial correl...
Gerhard Visser, David L. Dowe
ACCV
2006
Springer
13 years 11 months ago
A Novel Robust Statistical Method for Background Initialization and Visual Surveillance
In many visual tracking and surveillance systems, it is important to initialize a background model using a training video sequence which may include foreground objects. In such a c...
Hanzi Wang, David Suter