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» Incremental Learning for Visual Tracking
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EVENT
2001
267views more  EVENT 2001»
13 years 11 months ago
View-Invariant Representation and Learning of Human Action
Automatically understanding human actions from video sequences is a very challenging problem. This involves the extraction of relevant visual information from a video sequence, re...
Cen Rao, Mubarak Shah
WAPCV
2007
Springer
14 years 4 months ago
Language Label Learning for Visual Concepts Discovered from Video Sequences
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
Prithwijit Guha, Amitabha Mukerjee
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
14 years 2 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
EMMCVPR
2007
Springer
14 years 4 months ago
Compositional Object Recognition, Segmentation, and Tracking in Video
Abstract. The complexity of visual representations is substantially limited by the compositional nature of our visual world which, therefore, renders learning structured object mod...
Björn Ommer, Joachim M. Buhmann
3DUI
2011
75views more  3DUI 2011»
12 years 10 months ago
Dropping the ball: Releasing a virtual grasp
We present a method for improved release of whole-hand virtual grasps. It addresses the problem of objects “sticking” during release after the user’s (real) fingers interpen...
Mores Prachyabrued, Christoph W. Borst