Sitemap
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
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
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
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
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
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
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
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.
Download Paper
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.
Download Paper
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
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.