Learn to Predict How Humans Manipulate Large-Sized Objects From Interactive Motions

Author:

Wan WeilinORCID,Yang LeiORCID,Liu Lingjie,Zhang Zhuoying,Jia RuixingORCID,Choi Yi-KingORCID,Pan JiaORCID,Theobalt ChristianORCID,Komura Taku,Wang Wenping

Funder

ERC Consolidator

4DRepLy

Lise Meitner Postdoctoral Fellowship

Innovation and Technology Commission of the HKSAR Goverment

InnoHK

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Reference40 articles.

1. PLACE: Proximity Learning of Articulation and Contact in 3D Environments

2. View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data

3. Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition

4. GRAB: A dataset of whole-body human grasping of objects;taheri;Proc Eur Conf Comput Vis,0

5. Skeleton-based action recognition with spatial reasoning and temporal stack learning;si;Proc Eur Conf Comput Vis,0

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