Page Not Found
Page not found. Your pixels are in another canvas.
Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
Page not in menu
This is a page not in th emain menu
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
Differentiable Spatial Regression: A Novel Method for 3D Hand Pose Estimation
Published in IEEE Transactions on Multimedia, 2020
We propose a novel framework for hand pose estimation from depth image. The framework mainly utilise a differentiable decoder structure.
Recommended citation: X. Zhang and F. Zhang, "Differentiable Spatial Regression: A Novel Method for 3D Hand Pose Estimation," in IEEE Transactions on Multimedia, vol. 24, pp. 166-176, 2022, doi: 10.1109/TMM.2020.3047552. https://ieeexplore.ieee.org/document/9309323
NeoRL: A near real-world benchmark for offline reinforcement learning
Published in NeurIPS 2022, Datasets and Benchmarks Track, 2022
NeoRL presents conservative datasets for offline RL, highlights the complete pipeline for deploying offline RL in real-world applications, and also benchmarks recent offline RL algorithms on NeoRL under the complete pipeline.
Recommended citation: Qin, R. J., Zhang, X., Gao, S., Chen, X. H., Li, Z., Zhang, W., & Yu, Y. (2022). NeoRL: A near real-world benchmark for offline reinforcement learning. Advances in Neural Information Processing Systems, 35, 24753-24765. https://openreview.net/pdf?id=jNdLszxdtra
Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models
Published in NeurIPS 2023, 2023
We propose Action Inference by Maximising Evidence (AIME), a novel algorithm for imitation from observation by transferring learnt world models.
Recommended citation: Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl, Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models, NeurIPS 2023 https://openreview.net/forum?id=WjlCQxpuxU
talks
AIME RRL workshop @ ICLR 2023
Published:
AIME-NoB TAFM workshop @ RLC 2024
Published:
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.