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3D action recognition using multi-temporal skeleton visualization.

, , , and . ICME Workshops, page 623-626. IEEE Computer Society, (2017)

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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)Infrared and visible imagery fusion based on region saliency detection for 24-hour-surveillance systems., , , , and . ROBIO, page 1083-1088. IEEE, (2013)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 Survey on 3D Skeleton-Based Action Recognition Using Learning Method., , , and . CoRR, (2020)Spatial-Temporal Asynchronous Normalization for Unsupervised 3D Action Representation Learning., , , and . IEEE Signal Process. Lett., (2022)Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation., , , , , and . CoRR, (2023)Nearshore Depth Estimation Using Fine-Resolution Remote Sensing of Ocean Surface Waves., , , , and . Sensors, 23 (23): 9316 (December 2023)A New End-to-End Long-Time Speech Synthesis System Based on Tacotron2., , and . SSPS, page 46-50. ACM, (2019)Body Prior Guided Graph Convolutional Neural Network for Skeleton-Based Action Recognition., , , and . ICASSP, page 1-5. IEEE, (2023)