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VERAM: View-Enhanced Recurrent Attention Model for 3D Shape Classification.

, , , , and . IEEE Trans. Vis. Comput. Graph., 25 (12): 3244-3257 (2019)

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VERAM: View-Enhanced Recurrent Attention Model for 3D Shape Classification., , , , and . CoRR, (2018)Relevance feedback for human motion retrieval using a boosting approach., , , and . Multim. Tools Appl., 75 (2): 787-817 (2016)Dynamic node selection in camera networks based on approximate reinforcement learning., , , and . Multim. Tools Appl., 75 (24): 17393-17419 (2016)3D shape segmentation via shape fully convolutional networks., , , , , , and . Comput. Graph., (2018)Visual Browse and Exploration in Motion Capture Data with Phylogenetic Tree of Context-Aware Poses., , , and . Sensors, 20 (18): 5224 (2020)A Weighted Frequent Itemset Mining Algorithm for Intelligent Decision in Smart Systems., , , , and . IEEE Access, (2018)Shape Recognition with Recurrent Neural Network., , , , and . ICAIS (3), volume 11634 of Lecture Notes in Computer Science, page 341-350. Springer, (2019)Energy and Delay Co-aware Computation Offloading with Deep Learning in Fog Computing Networks., , , and . IPCCC, page 1-6. IEEE, (2019)Corrigendum to "3D shape segmentation via shape fully convolutional networks" Computers & Graphics 70 (2018) 128-139., , , , , , and . Comput. Graph., (2018)Scalable Organization of Collections of Motion Capture Data via Quantitative and Qualitative Analysis., , and . ICMR, page 411-418. ACM, (2015)