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Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition., , , , , , , и . IEEE Trans. Image Process., (2021)Skeleton Optical Spectra-Based Action Recognition Using Convolutional Neural Networks., , , и . IEEE Trans. Circuits Syst. Video Technol., 28 (3): 807-811 (2018)Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition., , , , , , , и . ICCV, стр. 337-346. IEEE, (2021)Mining Mid-Level Features for Action Recognition Based on Effective Skeleton Representation., , , , и . DICTA, стр. 1-8. IEEE, (2014)Multi-stage Factorized Spatio-Temporal Representation for RGB-D Action and Gesture Recognition., , , и . ACM Multimedia, стр. 3149-3160. ACM, (2023)Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition with Convolutional Neural Networks., , , , , и . CVPR, стр. 416-425. IEEE Computer Society, (2017)Focal and Global Spatial-Temporal Transformer for Skeleton-Based Action Recognition., , , , , , , и . ACCV (4), том 13844 из Lecture Notes in Computer Science, стр. 155-171. Springer, (2022)Transformer guided geometry model for flow-based unsupervised visual odometry., , , , , и . Neural Comput. Appl., 33 (13): 8031-8042 (2021)Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation., , , , , и . CVPR, стр. 604-613. IEEE, (2024)Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition., , , , , , , , и . CVPR, стр. 20122-20131. IEEE, (2022)