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A spatial attentive and temporal dilated (SATD) GCN for skeleton-based action recognition.

, , , , , , and . CAAI Trans. Intell. Technol., 7 (1): 46-55 (2022)

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Multi-Part Adaptive Graph Convolutional Network for Skeleton-Based Action Recognition., , , , and . IJCNN, page 1-7. IEEE, (2022)Multi-Hyperedge Hypergraph for Group Activity Recognition., , , , and . IJCNN, page 1-7. IEEE, (2022)Real-Time Spatio-Temporal Action Localization via Learning Motion Representation., , , , and . ACCV Workshops, volume 12628 of Lecture Notes in Computer Science, page 184-198. Springer, (2020)Learning to Predict Pedestrian Intention via Variational Tracking Networks., , , and . ITSC, page 3132-3137. IEEE, (2018)Low Light Image Enhancement Based on Luminance Map and Haze Removal Model., , , , and . ISCID (2), page 143-146. IEEE, (2017)Detecting spatiotemporal irregularities in videos via a 3D convolutional autoencoder., , , , , and . J. Vis. Commun. Image Represent., (2020)Clustering Driven Deep Autoencoder for Video Anomaly Detection., , , and . ECCV (15), volume 12360 of Lecture Notes in Computer Science, page 329-345. Springer, (2020)Model-Based 3D Hand Reconstruction via Self-Supervised Learning., , , , , , , and . CVPR, page 10451-10460. Computer Vision Foundation / IEEE, (2021)Slow-Fast Visual Tempo Learning for Video-based Action Recognition., , , , , and . CoRR, (2022)Optical Flow for Video Super-Resolution: A Survey., , , , , , and . CoRR, (2022)