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Joint Distance Maps Based Action Recognition With Convolutional Neural Networks.

, , , and . IEEE Signal Process. Lett., 24 (5): 624-628 (2017)

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Skeleton Optical Spectra-Based Action Recognition Using Convolutional Neural Networks., , , and . IEEE Trans. Circuits Syst. Video Technol., 28 (3): 807-811 (2018)Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition., , , , , , , and . IEEE Trans. Image Process., (2021)Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition., , , , , , , and . ICCV, page 337-346. IEEE, (2021)Focal and Global Spatial-Temporal Transformer for Skeleton-Based Action Recognition., , , , , , , and . ACCV (4), volume 13844 of Lecture Notes in Computer Science, page 155-171. Springer, (2022)Mining Mid-Level Features for Action Recognition Based on Effective Skeleton Representation., , , , and . DICTA, page 1-8. IEEE, (2014)Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition with Convolutional Neural Networks., , , , , and . CVPR, page 416-425. IEEE Computer Society, (2017)A Unified Multimodal De- and Re-coupling Framework for RGB-D Motion Recognition., , , , and . CoRR, (2022)Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition., , , , , , , , and . CVPR, page 20122-20131. IEEE, (2022)Transformer Guided Geometry Model for Flow-Based Unsupervised Visual Odometry., , , , , and . CoRR, (2021)Multi-stage Factorized Spatio-Temporal Representation for RGB-D Action and Gesture Recognition., , , and . ACM Multimedia, page 3149-3160. ACM, (2023)