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What's the point? Frame-wise Pointing Gesture Recognition with Latent-Dynamic Conditional Random Fields
We use Latent-Dynamic Conditional Random Fields to perform skeleton-based pointing gesture classification at each time instance of a video sequence, where we achieve a frame-wise pointing accuracy of roughly 83%.
On the Distribution of Salient Objects in Web Images and its Influence on Salient Object Detection
Tseng et al. have shown that the photographer's tendency to place interesting objects in the center is a likely cause for the center bias of eye fixations.
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