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高艳博

Title:Associate Professor
Supervisor of Master's Candidates

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Language：English

中文

Paper Publications

Title : Improved Shift Graph Convolutional Network for Action Recognition With Skeleton

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Affiliation of Author(s):控制科学与工程学院

Title of Paper:Improved Shift Graph Convolutional Network for Action Recognition With Skeleton

Journal:IEEE Signal Processing Letters

First Author:Li, Chuankun

Document Code:1655508940644368385

Volume:30

Page Number:438-442

Number of Words:4

Translation or Not:no

Date of Publication:2023-01-01

Pre One : Static graph convolution with learned temporal and channel-wise graph topology generation for skeleton-based action recognition

Next One : A Bi-Directional Prediction based on Multi-Stage Deep Multilayer Perceptron for the Productive Process of Polyacrylonitrile Precursor

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