Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Focusing and Diffusion: Bidirectional Attentive Graph Convolutional
  Networks for Skeleton-based Action Recognition   A collection of approaches based on graph convolutional networks have proven
success in skeleton-based action recognition by exploring neighborhood
information and dense dependencies between intra-frame joints. However, these
approaches usually ignore the spatial-temporal global context as well as the
local relation between inter-frame and intra-frame. In this paper, we propose a
focusing and diffusion mechanism to enhance graph convolutional networks by
paying attention to the kinematic dependence of articulated human pose in a
frame and their implicit dependencies over frames. In the focusing process, we
introduce an attention module to learn a latent node over the intra-frame
joints to convey spatial contextual information. In this way, the sparse
connections between joints in a frame can be well captured, while the global
context over the entire sequence is further captured by these hidden nodes with
a bidirectional LSTM. In the diffusing process, the learned spatial-temporal
contextual information is passed back to the spatial joints, leading to a
bidirectional attentive graph convolutional network (BAGCN) that can facilitate
skeleton-based action recognition. Extensive experiments on the challenging NTU
RGB+D and Skeleton-Kinetics benchmarks demonstrate the efficacy of our
approach.

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The categories of this paper are: cond-mat
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The categories of this paper are: funct-an
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The categories of this paper are: solv-int
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The categories of this paper are: nucl-th
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The categories of this paper are: q-fin
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The categories of this paper are: hep-ex
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The categories of this paper are: acc-phys
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The categories of this paper are: comp-gas
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The categories of this paper are: chao-dyn
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The categories of this paper are: patt-sol
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The categories of this paper are: physics
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The categories of this paper are: hep-lat
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The categories of this paper are: hep-th
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The categories of this paper are: mtrl-th
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The categories of this paper are: nlin
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The categories of this paper are: q-alg