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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

DenseGCN: A multi-level and multi-temporal graph convolutional network for action recognition

Published in IET Image Processing, 2023

This paper proposes DenseGCN, a novel multi-level and multi-temporal graph convolutional network for skeleton-based action recognition that effectively captures both spatial and temporal dependencies in human motion sequences.

Recommended citation: Yu, C., et al. (2023). "DenseGCN: A multi-level and multi-temporal graph convolutional network for action recognition." IET Image Processing. 17(11), 3299-3312.
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A Self-Supervised Pressure Map Human Keypoint Detection Approach: Optimizing Generalization and Computational Efficiency Across Datasets

Published in IEEE Conference, 2024

This paper presents a novel self-supervised approach for human keypoint detection using pressure maps, achieving improved generalization and computational efficiency across different datasets without requiring manual annotations.

Recommended citation: Yu, C., et al. (2024). "A Self-Supervised Pressure Map Human Keypoint Detection Approach: Optimizing Generalization and Computational Efficiency Across Datasets." IEEE Conference Proceedings. DOI: 10.1109/10447055.
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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.