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Space-Time Video Regularity and Visual Fidelity: Compression, Resolution and Frame Rate Adaptation
As a stringent test of the new model, we apply it to the difficult problem of predicting the quality of videos subjected not only to compression, but also to downsampling in space and/or time.
On the Space-Time Statistics of Motion Pictures
It is well-known that natural images possess statistical regularities that can be captured by bandpass decomposition and divisive normalization processes that approximate early neural processing in the human visual system.
Sample Efficient Reinforcement Learning with REINFORCE
Policy gradient methods are among the most effective methods for large-scale reinforcement learning, and their empirical success has prompted several works that develop the foundation of their global convergence theory.
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