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Deep Representation Learning for Human Motion Prediction and Classification

CVPR 2017 · Video › Action recognition · approach: Skeleton-based action recognition · 421 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use a temporal encoder trained to predict future frames from past frames instead of a deep sparse autoencoderHuman motion representation learning · CMU mocap action classificationclassification rateHelped
Use H-TE instead of S-TE or C-TE (ablation)Temporal encoder motion prediction · H3.6M specific-action predictionprediction errorHelped
Use C-TE instead of H-TE (ablation)Temporal encoder motion prediction · H3.6M general motion prediction, short termforecast errorHelped
Use S-TE instead of C-TE (ablation)Temporal encoder motion prediction · H3.6M general motion prediction, long termforecast errorMixed
Fine-tune H-TE on action-specific training data (ablation)H-TE · H3.6M specific-action predictionprediction errorHelped
Use feed-forward temporal encoders instead of recurrent modelsHuman motion prediction · H3.6M specific-action prediction at 160 ms and longerprediction errorHelped
Use LSTM3L instead of temporal encodersHuman motion prediction · H3.6M specific-action prediction, initial predictionsprediction errorHelped
Mask all input data for one limbTemporal encoder motion prediction · H3.6M, eatingprediction errorHurt

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