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The Douglas County veterans memorial will be refreshed and refurbished starting this summer thanks to a grant awarded in early July.

Despite great progress achieved by transformer in various vision tasks, it is still underexplored for skeleton-based action recognition with only a few attempts. Besides, these methods directly calculate the pair-wise global self-attention equally for all the joints in both the spatial and temporal dimensions, undervaluing the effect of discriminative local joints and the short-range temporal dynamics. In this work, we propose a novel Focal and Global Spatial-Temporal Transformer network (FG-STFormer), that is equipped with two key components: (1) FG-SFormer: focal joints and global parts coup...

Skeleton data is widely used in human action recognition for easy access, computational efficiency and environmental robustness. Recently, encoding skeleton sequences into color images becomes a popular preprocessing procedure to make use of the spatial modeling ability of convolutional neural network (CNN). Furthermore, inspired by relevant work in other fields, attention mechanism has been introduced to CNN based skeleton action recognition. In this paper, we propose a two-branch hierarchical attention model (HAN) for skeleton based action recognition. The proposed model consists of a base b...

MIT MEng students Yo-whan “John” Kim, Emma Liu, and Clemente Ocejo tackled and guided application-focused research with the MIT-IBM Watson AI Lab.

This paper proposes a new graph convolutional operator called central difference graph convolution (CDGC) for skeleton based action recognition. It is not only able to aggregate node information like a vanilla graph convolutional operation but also gradient information. Without introducing any additional parameters, CDGC can replace vanilla graph convolution in any existing Graph Convolutional Networks (GCNs). In addition, an accelerated version of the CDGC is developed which greatly improves the speed of training. Experiments on two popular large-scale datasets NTU RGB+D 60 & 120 have dem...