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112
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NIPS
2008
15 years 4 months ago
Unsupervised Learning of Visual Sense Models for Polysemous Words
Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...
Kate Saenko, Trevor Darrell
116
Voted
NIPS
1998
15 years 4 months ago
Bayesian Modeling of Facial Similarity
In previous work 6, 9, 10], we advanced a new technique for direct visual matching of images for the purposes of face recognition and image retrieval, using a probabilistic measur...
Baback Moghaddam, Tony Jebara, Alex Pentland
134
Voted
ICIP
2010
IEEE
14 years 12 months ago
Implicit Motion-Shape Model: A generic approach for action matching
We develop a robust technique to find similar matches of human actions in video. Given a query video, Motion History Images (MHI) are constructed for consecutive keyframes. This i...
Tuan Hue Thi, Li Cheng, Jian Zhang, Li Wang
126
Voted
CVPR
2011
IEEE
14 years 10 months ago
Object Cosegmentation
Cosegmentation is typically defined as the task of jointly segmenting “something similar” in a given set of images. Existing methods are too generic and so far have not demon...
Sara Vicente, Carsten Rother, Vladimir Kolmogorov
126
Voted
CIVR
2009
Springer
147views Image Analysis» more  CIVR 2009»
15 years 9 months ago
Integrating visual and semantic contexts for topic network generation and word sense disambiguation
To support more effective searches in large-scale weaklytagged image collections, we have developed a novel algorithm to integrate both the visual similarity contexts between the...
Jianping Fan, Hangzai Luo, Yi Shen, Chunlei Yang