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YogaNet: 3-D Yoga Asana Recognition Using Joint Angular Displacement Maps With ConvNets.

, , , и . IEEE Trans. Multim., 21 (10): 2492-2503 (2019)

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Denoising Ultrasound Medical Images: A Block based Hard and Soft thresholding in Wavelet Domain., , , и . Int. J. Meas. Technol. Instrum. Eng., 5 (1): 1-14 (2015)YogaNet: 3-D Yoga Asana Recognition Using Joint Angular Displacement Maps With ConvNets., , , и . IEEE Trans. Multim., 21 (10): 2492-2503 (2019)A four-stream ConvNet based on spatial and depth flow for human action classification using RGB-D data., , , , , , и . Multim. Tools Appl., 79 (17-18): 11723-11746 (2020)Multi-view motion modelled deep attention networks (M2DA-Net) for video based sign language recognition., , и . J. Vis. Commun. Image Represent., (2021)Multi modal spatio temporal co-trained CNNs with single modal testing on RGB-D based sign language gesture recognition., , , , , и . J. Comput. Lang., (2019)Early estimation model for 3D-discrete indian sign language recognition using graph matching., , , и . J. King Saud Univ. Comput. Inf. Sci., 33 (7): 852-864 (2021)3D sign language recognition with joint distance and angular coded color topographical descriptor on a 2 - stream CNN., , , и . Neurocomputing, (2020)Train rolling stock segmentation with morphological differential gradient active contours., и . ICACCI, стр. 1174-1178. IEEE, (2015)Crowd Density Analysis and tracking., , , и . ICACCI, стр. 1209-1213. IEEE, (2015)Three-Dimensional Sign Language Recognition With Angular Velocity Maps and Connived Feature ResNet., , , , и . IEEE Signal Process. Lett., 25 (12): 1860-1864 (2018)