Search Results for author: Yusuke Yoshiyasu

Found 7 papers, 1 papers with code

Rapid Pose Label Generation through Sparse Representation of Unknown Objects

1 code implementation7 Nov 2020 Rohan Pratap Singh, Mehdi Benallegue, Yusuke Yoshiyasu, Fumio Kanehiro

The sparse representation leads to the development of a dense model and the pose labels for each image frame in the set of scenes.

Pose Estimation

Deep Reactive Planning in Dynamic Environments

no code implementations31 Oct 2020 Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko SASAKI, Toshisada Mariyama, Daniel Nikovski

The main novelty of the proposed approach is that it allows a robot to learn an end-to-end policy which can adapt to changes in the environment during execution.

Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path

no code implementations3 Mar 2020 Kei Ota, Yoko SASAKI, Devesh K. Jha, Yusuke Yoshiyasu, Asako Kanezaki

Specifically, we train a deep convolutional network that can predict collision-free paths based on a map of the environment-- this is then used by a reinforcement learning algorithm to learn to closely follow the path.

Efficient Exploration

Learning Body Shape and Pose from Dense Correspondences

no code implementations27 Jul 2019 Yusuke Yoshiyasu, Lucas Gamez

In this paper, we address the problem of learning 3D human pose and body shape from 2D image dataset, without having to use 3D dataset (body shape and pose).

Motion Capture

Skeleton Transformer Networks: 3D Human Pose and Skinned Mesh from Single RGB Image

no code implementations29 Dec 2018 Yusuke Yoshiyasu, Ryusuke Sagawa, Ko Ayusawa, Akihiko Murai

In this paper, we present Skeleton Transformer Networks (SkeletonNet), an end-to-end framework that can predict not only 3D joint positions but also 3D angular pose (bone rotations) of a human skeleton from a single color image.

Understanding and Exploiting Object Interaction Landscapes

no code implementations27 Sep 2016 Sören Pirk, Vojtech Krs, Kaimo Hu, Suren Deepak Rajasekaran, Hao Kang, Bedrich Benes, Yusuke Yoshiyasu, Leonidas J. Guibas

We introduce a new general representation for proximal interactions among physical objects that is agnostic to the type of objects or interaction involved.

Symmetry-Aware Nonrigid Matching of Incomplete 3D Surfaces

no code implementations CVPR 2014 Yusuke Yoshiyasu, Eiichi Yoshida, Kazuhito Yokoi, Ryusuke Sagawa

We present a nonrigid shape matching technique for establishing correspondences of incomplete 3D surfaces that exhibit intrinsic reflectional symmetry.

Graph Matching

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