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» Learning Generic Prior Models for Visual Computation
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CVPR
2007
IEEE
15 years 11 months ago
Learning the Compositional Nature of Visual Objects
The compositional nature of visual objects significantly limits their representation complexity and renders learning of structured object models tractable. Adopting this modeling ...
Björn Ommer, Joachim M. Buhmann
CVPR
2003
IEEE
15 years 11 months ago
A Bayesian Approach to Image-Based Visual Hull Reconstruction
We present a Bayesian approach to image-based visual hull reconstruction. The 3-D shape of an object of a known class is represented by sets of silhouette views simultaneously obs...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...
ICPR
2006
IEEE
15 years 10 months ago
An integrated Monte Carlo data association framework for multi-object tracking
We propose a sequential Monte Carlo data association algorithm based on a two-level computational framework for tracking varying number of interacting objects in dynamic scene. Fi...
Jianru Xue, Nanning Zheng, Xiaopin Zhong
84
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ECCV
2010
Springer
15 years 3 months ago
Randomized Locality Sensitive Vocabularies for Bag-of-Features Model
Abstract. Visual vocabulary construction is an integral part of the popular Bag-of-Features (BOF) model. When visual data scale up (in terms of the dimensionality of features or/an...
CAISE
1999
Springer
15 years 2 months ago
Applying Graph Reduction Techniques for Identifying Structural Conflicts in Process Models
Abstract. The foundation of a process model lies in its control flow specifications. Using a generic process modeling language for workflows, we show how a control flow specificati...
Wasim Sadiq, Maria E. Orlowska