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IJCV
2007
196views more  IJCV 2007»
13 years 7 months ago
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
Robert Fergus, Pietro Perona, Andrew Zisserman
IJCV
2008
139views more  IJCV 2008»
13 years 7 months ago
Multilevel Image Coding with Hyperfeatures
Histograms of local appearance descriptors are a popular representation for visual recognition. They are highly discriminant with good resistance to local occlusions and to geomet...
Ankur Agarwal, Bill Triggs
CVPR
2009
IEEE
15 years 2 months ago
Active Learning for Large Multi-class Problems
Scarcity and infeasibility of human supervision for large scale multi-class classification problems necessitates active learning. Unfortunately, existing active learning methods ...
Prateek Jain (University of Texas at Austin), Ashi...
CVPR
2010
IEEE
1182views Computer Vision» more  CVPR 2010»
14 years 4 months ago
Real Time Motion Capture using a Single Time-Of-Flight Camera
Markerless tracking of human pose is a hard yet relevant problem. In this paper, we derive an efficient filtering algorithm for tracking human pose at 4-10 frames per second using...
Varun Ganapathi, Christian Plagemann, Sebastian Th...
EUROCAST
1997
Springer
156views Hardware» more  EUROCAST 1997»
13 years 11 months ago
A Computational Model for Visual Size, Location and Movement
The ability to detect object size, location and movement is essential for a visual system in either a biological or man made environment. In this paper we present a model for esti...
Miguel Alemán-Flores, K. Nicholas Leibovic,...