Hierarchical Spatio-Temporal Neural Network with Displacement Based Refinement for Monocular Head Pose Prediction
Author:
Affiliation:
1. Waseda University,Graduate School of Information, Production and Systems,Kitakyushu,Japan,808-0135
2. Southeast University,Nanjing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10215492/10215533/10216167.pdf?arnumber=10216167
Reference18 articles.
1. MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation
2. History repeats itself: Human motion prediction via motion attention;mao;Computer Vision–ECCV 2020 16th European Conference,2020
3. Subpixel Displacement Measurement at 784 FPS: From Algorithm to Hardware System
4. Robust FFT-Based Scale-Invariant Image Registration with Image Gradients
5. Fast Head Pose Estimation via Rotation-Adaptive Facial Landmark Detection for Video Edge Computation
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