Zhihua Wang

According to our database, Zhihua Wang authored at least 8 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling.

Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

Learning With Stochastic Guidance for Robot Navigation.

Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni

IEEE Trans. Neural Networks Learn. Syst., 2021

2020

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds.

Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Learning with Stochastic Guidance for Navigation.

Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni

CoRR, 2018

Neural Allocentric Intuitive Physics Prediction from Real Videos.

Zhihua Wang, Stefano Rosa, Yishu Miao, Zihang Lai, Linhai Xie, Andrew Markham, Niki Trigoni

CoRR, 2018

3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations.

Zhihua Wang, Stefano Rosa, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

DEFO-NET: Learning Body Deformation Using Generative Adversarial Networks.

Zhihua Wang, Stefano Rosa, Linhai Xie, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2016

RePWR: Wireless Power Transfer within Reinforced Concrete.

Zhihua Wang, Orfeas Kypris, Andrew Markham

Proceedings of the 4th International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems, Stanford, CA, USA, November 14, 2016