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CuDi3D: Curvilinear displacement based approach for online 3D action detection.

, , , and . Comput. Vis. Image Underst., (2018)

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CuDi3D: Curvilinear displacement based approach for online 3D action detection., , , and . Comput. Vis. Image Underst., (2018)Att2ResNet: A deep attention-based approach for melanoma skin cancer classification., , and . Int. J. Imaging Syst. Technol., 32 (2): 476-489 (2022)Early, intermediate and late fusion strategies for robust deep learning-based multimodal action recognition., , , and . Mach. Vis. Appl., 32 (6): 121 (2021)Extreme Subject Targeting for Deep Learning Based Action Recognition., , , , , and . CSA, volume 199 of Lecture Notes in Networks and Systems, page 38-49. Springer, (2020)AttR2U-Net: Deep Attention Based Approach for Melanoma Skin Cancer Image Segmentation., , and . CSA, volume 513 of Lecture Notes in Networks and Systems, page 3-13. Springer, (2022)Dynamic hand gesture recognition based on 3D pattern assembled trajectories., , , and . IPTA, page 1-6. IEEE, (2017)Structure and Sequencing Preserving Representations for Skeleton-based Action Recognition Relying on Attention Mechanisms., , and . J. Signal Process. Syst., 95 (8): 1003-1019 (August 2023)HIF3D: Handwriting-Inspired Features for 3D skeleton-based action recognition., , , and . ICPR, page 985-990. IEEE, (2016)Reconnaissance en-ligne d'actions 3D par l'analyse des trajectoires du squelette humain. (Online 3D actions recognition by analyzing the trajectories of human's skeleton).. INSA de Rennes, France, (2018)Heterogenous Action Ensembling for Visual Recognition of Large-Scale Actions., , , and . CSA, volume 513 of Lecture Notes in Networks and Systems, page 361-371. Springer, (2022)