Search Results for author: Jongho Kim

Found 3 papers, 0 papers with code

Space-Time Video Regularity and Visual Fidelity: Compression, Resolution and Frame Rate Adaptation

no code implementations31 Mar 2021 Dae Yeol Lee, Hyunsuk Ko, Jongho Kim, Alan C. Bovik

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

no code implementations29 Jan 2021 Dae Yeol Lee, Hyunsuk Ko, Jongho Kim, Alan C. Bovik

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.

Optical Flow Estimation

Sample Efficient Reinforcement Learning with REINFORCE

no code implementations22 Oct 2020 Junzi Zhang, Jongho Kim, Brendan O'Donoghue, Stephen Boyd

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.

Policy Gradient Methods reinforcement-learning +2

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