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Sample Fusion Network: An End-to-End Data Augmentation Network for Skeleton-Based Human Action Recognition.

, , , , and . IEEE Trans. Image Process., 28 (11): 5281-5295 (2019)

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A Survey on 3D Skeleton-Based Action Recognition Using Learning Method., , , and . CoRR, (2020)Action recognition from depth sequences using weighted fusion of 2D and 3D auto-correlation of gradients features., , , , , and . Multim. Tools Appl., 76 (3): 4651-4669 (2017)A New End-to-End Long-Time Speech Synthesis System Based on Tacotron2., , and . SSPS, page 46-50. ACM, (2019)Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation., , , , , and . CoRR, (2023)Body Prior Guided Graph Convolutional Neural Network for Skeleton-Based Action Recognition., , , and . ICASSP, page 1-5. IEEE, (2023)Multi-Stream Facial Adaptive Network for Expression Recognition from a Single Image., , , and . ICASSP, page 1-5. IEEE, (2023)Novel Motion Patterns Matter for Practical Skeleton-Based Action Recognition., , , and . AAAI, page 1701-1709. AAAI Press, (2023)Research and Implementation of the Method of Perceiving Distance between UHF Band Passive RFID and Tag Groups Indoors., , , and . ISKE, page 439-443. IEEE, (2021)Spatial-Temporal Data Augmentation Based on LSTM Autoencoder Network for Skeleton-Based Human Action Recognition., , , , and . ICIP, page 3478-3482. IEEE, (2018)Human action recognition using Adaptive Hierarchical Depth Motion Maps and Gabor filter., , and . ICASSP, page 1432-1436. IEEE, (2017)