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@ -674,13 +674,13 @@ _Deep Learning Methods_
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## Scene Understanding
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<b>Characterizing Structural Relationships in Scenes Using Graph Kernels (2011 SIGGRAPH)</b> [[Paper]](https://graphics.stanford.edu/~mdfisher/graphKernel.html)
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<p align="center"><img width="30%" src="https://graphics.stanford.edu/~mdfisher/papers/graphKernelTeaser.png" /></p>
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<p align="center"><img width="60%" src="https://graphics.stanford.edu/~mdfisher/papers/graphKernelTeaser.png" /></p>
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<b>Understanding Indoor Scenes Using 3D Geometric Phrases (2013)</b> [[Paper]](http://cvgl.stanford.edu/projects/3dgp/)
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<p align="center"><img width="30%" src="http://cvgl.stanford.edu/projects/3dgp/images/title.png" /></p>
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<b>Organizing Heterogeneous Scene Collections through Contextual Focal Points (2014 SIGGRAPH)</b> [[Paper]](http://kevinkaixu.net/projects/focal.html)
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<p align="center"><img width="30%" src="http://kevinkaixu.net/projects/focal/overlapping_clusters.jpg" /></p>
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<p align="center"><img width="60%" src="http://kevinkaixu.net/projects/focal/overlapping_clusters.jpg" /></p>
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<b>SceneGrok: Inferring Action Maps in 3D Environments (2014, SIGGRAPH)</b> [[Paper]](http://graphics.stanford.edu/projects/scenegrok/)
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<p align="center"><img width="50%" src="http://graphics.stanford.edu/projects/scenegrok/scenegrok.png" /></p>
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