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Efficient Dense-Graph Convolutional Network with Inductive Prior Augmentations for Unsupervised Micro-Gesture Recognition

PaperCitations, authors & open-access status

Efficient Dense-Graph Convolutional Network with Inductive Prior Augmentations for Unsupervised Micro-Gesture Recognition is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 8 citations, 2022 year and closed oa status.

8
Citations
2022
Year
closed
OA Status

Related on ScholarIQ

Atif Shah
Author
2022 26th International Conference on Pattern Recognition (ICPR)
Journal
Human Pose and Action Recognition
Topic
Human Pose and Action Recognition
Topic
Hand Gesture Recognition Systems
Topic
Gait Recognition and Analysis
Topic
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