A Datasets Following [5, 7], we run experiments on five popular datasets for time series forecasting, including, T
–Neural Information Processing Systems
Dimension, domain, frequency, total training timesteps and prediction length properties of the training datasets used in the experiments. For human motion prediction, we run experiments on two datasets, namely, Human3.6M[2] and HumanEva-I [8], following [10]. As described in Section 5, Human3.6 is a large-scale dataset with 11 subjects performing 15 actions, totaling 3.6 million video frames recorded at 50Hz. To be consistent with previous work [4, 10], we adopt a 17-joint skeleton and train on 5 subjects (S1, S5, S6, S7, S8) and test on two subjects (S9, S11). For HumanEva-I, we adopt a 15-joint skeleton and use the same training and test split provided in the dataset.
Neural Information Processing Systems
Mar-21-2025, 18:00:05 GMT
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