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» Learning Visual Invariance
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DAGSTUHL
2001
13 years 9 months ago
Understanding Algorithms by Means of Visualized Path Testing
Visualization of an algorithm offers only a rough picture of operations. Explanations are crucial for deeper understanding, because they help the viewer to associate the visualiza...
Ari Korhonen, Erkki Sutinen, Jorma Tarhio
ECCV
2004
Springer
14 years 10 months ago
A Visual Category Filter for Google Images
We extend the constellation model to include heterogeneous parts which may represent either the appearance or the geometry of a region of the object. The parts and their spatial co...
Robert Fergus, Pietro Perona, Andrew Zisserman
ICIP
2003
IEEE
14 years 9 months ago
Text to visual synthesis with appearance models
This paper presents a new method named text to visual synthesis with appearance models (TEVISAM) for generating videorealistic talking heads. In a first step, the system learns a ...
Javier Melenchón, Fernando De la Torre, Ign...
ICPR
2004
IEEE
14 years 9 months ago
Switching Particle Filters for Efficient Real-time Visual Tracking
Particle filtering is an approach to Bayesian estimation of intractable posterior distributions from time series signals distributed by non-Gaussian noise. A couple of variant par...
Kenji Doya, Shin Ishii, Takashi Bando, Tomohiro Sh...
CVPR
2010
IEEE
14 years 5 months ago
Online Visual Vocabulary Pruning Using Pairwise Constraints
Given a pair of images represented using bag-of-visual words and a label corresponding to whether the images are “related”(must-link constraint) or “unrelated” (must not li...
Pavan Mallapragada, Rong Jin and Anil Jain