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» Application of Level Set Methods in Computer Vision
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CVPR
2011
IEEE
15 years 2 months ago
Collaborative Personalization of Image Enhancement
While most existing enhancement tools for photographs have universal auto-enhancement functionality, recent research [8] shows that users can have personalized preferences. In thi...
Juan Caicedo, Ashish Kapoor, Sing Bing Kang
WACV
2012
IEEE
14 years 2 months ago
PTZ camera network calibration from moving people in sports broadcasts
In sports broadcasts, networks consisting of pan-tiltzoom (PTZ) cameras usually exhibit very wide baselines, making standard matching techniques for camera calibration very hard t...
Jens Puwein, Remo Ziegler, Luca Ballan, Marc Polle...
CVPR
2012
IEEE
13 years 9 months ago
Nonparametric discovery of activity patterns from video collections
We propose a nonparametric framework based on the beta process for discovering temporal patterns within a heterogenous video collection. Starting from quantized local motion descr...
Michael C. Hughes, Erik B. Sudderth
CVPR
2012
IEEE
13 years 9 months ago
A codebook-free and annotation-free approach for fine-grained image categorization
Fine-grained categorization refers to the task of classifying objects that belong to the same basic-level class (e.g. different bird species) and share similar shape or visual app...
Bangpeng Yao, Gary R. Bradski, Fei-Fei Li
CCGRID
2008
IEEE
15 years 8 months ago
Using Probabilistic Characterization to Reduce Runtime Faults in HPC Systems
Abstract--The current trend in high performance computing is to aggregate ever larger numbers of processing and interconnection elements in order to achieve desired levels of compu...
Jim M. Brandt, Bert J. Debusschere, Ann C. Gentile...