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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

Posts

Future Blog Post

less than 1 minute read

Published:

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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

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).

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.