141 search results - page 16 / 29 » LOCUS: Learning Object Classes with Unsupervised Segmentatio... |
135
Voted
CVPR
2012
IEEE
13 years 4 months ago
2012
IEEE
Bottom-up, fully unsupervised segmentation remains a daunting challenge for computer vision. In the cosegmentation context, on the other hand, the availability of multiple images ...
127
Voted
CVPR
2011
IEEE
14 years 9 months ago
2011
IEEE
From conventional wisdom and empirical studies of annotated data, it has been shown that visual statistics such as object frequencies and segment sizes follow power law distributi...
131
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ICANN
2005
Springer
15 years 7 months ago
2005
Springer
Spike synchronisation and de-synchronisation are important for feature binding and separation at various levels in the visual system. We present a model of complex valued neuron ac...
144
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PAMI
2012
13 years 4 months ago
2012
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
120
Voted
ICIP
2005
IEEE
15 years 7 months ago
2005
IEEE
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...