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
Profile
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
Automatic human pose annotation for loose-fitting clothes
Published in 2019 16th International Conference on Machine Vision Applications (MVA), 2019
This paper proposes a framework for automatically annotating the keypoints of a human body in images for learning 2D pose estimation models.
Recommended citation: Matsumoto, T., Shimosato, K., Maeda, T., Murakami, T., Murakoso, K., Mino, K., & Ukita, N. (2019, May). Automatic human pose annotation for loose-fitting clothes. In 2019 16th International Conference on Machine Vision Applications (MVA) (pp. 1-6). IEEE.
Human Pose Annotation Using a Motion Capture System for Loose-Fitting Clothes
Published in 2020 IEICE Transactions on Information and Systems 103 (6), 1257-1264, 2020
This paper proposes a framework for automatically annotating the keypoints of a human body in images for learning 2D pose estimation models.
Recommended citation: Matsumoto, T., Shimosato, K., Maeda, T., Murakami, T., Murakoso, K., Mino, K., & Ukita, N. (2020). Human Pose Annotation Using a Motion Capture System for Loose-Fitting Clothes. IEICE Transactions on Information and Systems, 103(6), 1257-1264.
Grasp and Motion Planning for Dexterous Manipulation for the Real Robot Challenge
Published in arXiv preprint, 2021
This paper is a technical report for Real Robot Challenge Competition 2020, the Max Planck Institute for Intelligent Systems.
Recommended citation: Yoneda, T., Schaff, C., Maeda, T., & Walter, M. (2021). Grasp and motion planning for dexterous manipulation for the real robot challenge. arXiv preprint arXiv:2101.02842.
Data Augmentation for Human Motion Prediction
Published in 2021 17th International Conference on Machine Vision Applications (MVA), 2021
We proposed two data augmentation approaches using VAE and IK, and a motion refinement using Imitation Learning for Motion Prediciton
Recommended citation: T. Maeda and N. Ukita, "Data Augmentation for Human Motion Prediction," 2021 17th International Conference on Machine Vision and Applications (MVA), 2021, pp. 1-5, doi: 10.23919/MVA51890.2021.9511368.
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
Published in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021, 2021
The report of the challenge. 4th Place.
Recommended citation: Bhat, G., Danelljan, M., & Timofte, R. (2021). NTIRE 2021 challenge on burst super-resolution: Methods and results. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 613-626).
MotionAug: Augmentation with Physical Correction for Human Motion Prediction
Published in In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2022
This paper presents a motion data augmentation scheme incorporating motion synthesis encouraging diversity and motion correction imposing physical plausibility.
Recommended citation: T. Maeda and N. Ukita, "MotionAug: Augmentation with Physical Correction for Human Motion Prediction" CVPR2022
Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction
Published in Proceedings of the IEEE/CVF International Conference on Computer Vision., 2023
We proposed FlowChain: fast and accurate probability density estimation on time-series data based on Normalizing Flow.
Recommended citation: T. Maeda and N. Ukita, "Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction" ICCV2023
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files 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.