Triangular-Prism RNN For Action-Agnostic Human Pose Forecasting.pdf
pose_forecast_wacv19_poster.pdf
Description
The IEEE 2019 Winter Conference on Applications of Computer Vision introduced a novel Triangular-Prism RNN (TP-RNN) model for action-agnostic human pose forecasting, outperforming previous state-of-the-art methods with effective short-term and long-term predictions. This model, trained in velocity space, forecasts future poses from past sequences without relying on action labels.
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- File Format: PDF
- File Size: 1.2 MB
- Pages: 1
- Language: EN
- Total Downloads: 24
- Last Updated: 4 weeks ago
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