Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition
Author:
Affiliation:
1. Peking University
Funder
National Key R&D Program of China
Beijing Natural Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204368.pdf?arnumber=10204368
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1. InfoGCN: Representation Learning for Human Skeleton-based Action Recognition
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4. Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning
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