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IJCV
2007
196views more  IJCV 2007»
15 years 1 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
TPHOL
1999
IEEE
15 years 6 months ago
Lifted-FL: A Pragmatic Implementation of Combined Model Checking and Theorem Proving
Combining theorem proving and model checking o ers the tantalizing possibility of e ciently reasoning about large circuits at high levels of abstraction. We have constructed a syst...
Mark Aagaard, Robert B. Jones, Carl-Johan H. Seger
156
Voted
CVPR
2009
IEEE
16 years 9 months ago
A Multi-View Probabilistic Model for 3D Object Classes
We propose a novel probabilistic framework for learning visual models of 3D object categories by combining appearance information and geometric constraints. Objects are represen...
Fei-Fei Li 0002, Hao Su, Min Sun, Silvio Savarese
GRAPHITE
2007
ACM
15 years 5 months ago
A shape hierarchy for 3D modelling from video
This paper describes an interactive method for generating a model of a scene from image data. The method uses the camera parameters and point cloud typically generated by structur...
Anton van den Hengel, Anthony R. Dick, Thorsten Th...
COMGEO
1999
ACM
15 years 1 months ago
Simplifying spline models
We present a new approach for simplifying models composed of rational spline patches. Given an input model, the algorithm computes a new approximation of the model in terms of cub...
M. Gopi, Dinesh Manocha