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Found 2 papers, 2 papers with code
Motion Inbetweening via Deep $Δ$-Interpolator
We show that the task of synthesizing human motion conditioned on a set of key frames can be solved more accurately and effectively if a deep learning based interpolator operates in the delta mode using the spherical linear interpolator as a baseline.
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FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting
Forecasting of multivariate time-series is an important problem that has applications in traffic management, cellular network configuration, and quantitative finance.
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