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» Dynamic Programming and Graph Algorithms in Computer Vision
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ICCV
2009
IEEE
16 years 7 months ago
Learning Deformable Action Templates from Crowded Videos
In this paper, we present a Deformable Action Template (DAT) model that is learnable from cluttered real-world videos with weak supervisions. In our generative model, an action ...
Benjamin Yao, Song-Chun Zhu
ICS
1993
Tsinghua U.
15 years 7 months ago
Dynamic Control of Performance Monitoring on Large Scale Parallel Systems
Performance monitoring of large scale parallel computers creates a dilemma: we need to collect detailed information to find performance bottlenecks, yet collecting all this data ...
Jeffrey K. Hollingsworth, Barton P. Miller
CVPR
1998
IEEE
16 years 4 months ago
Markov Random Fields with Efficient Approximations
Markov Random Fields (MRF's) can be used for a wide variety of vision problems. In this paper we focus on MRF's with two-valued clique potentials, which form a generaliz...
Yuri Boykov, Olga Veksler, Ramin Zabih
CVPR
2004
IEEE
16 years 4 months ago
Spatially Coherent Clustering Using Graph Cuts
Feature space clustering is a popular approach to image segmentation, in which a feature vector of local properties (such as intensity, texture or motion) is computed at each pixe...
Ramin Zabih, Vladimir Kolmogorov
CVPR
2004
IEEE
16 years 4 months ago
Distortion Estimation Techniques in Solving Visual CAPTCHAs
Abstract-- This paper describes two distortion estimation techniques for object recognition that solve EZ-Gimpy and Gimpy-r, two of the visual CAPTCHAs ("Completely Automated ...
Gabriel Moy, Nathan Jones, Curt Harkless, Randall ...