Zhihua Wang : Publications

Journal papers

• [1]

  Learning Semantic Segmentation of Large−Scale Point Clouds with Random Sampling

  N.i Trigoni Q. Hu B. Yang L. Xie S. Rosa Y. Guo Z. Wang and A. Markham

  In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2021.

  Details about Learning Semantic Segmentation of Large−Scale Point Clouds with Random Sampling | BibTeX data for Learning Semantic Segmentation of Large−Scale Point Clouds with Random Sampling

• [2]

  RandLA−Net: Efficient Semantic Segmentation of Large−Scale Point Clouds

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

  In IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR Oral). 2020.

  Details about RandLA−Net: Efficient Semantic Segmentation of Large−Scale Point Clouds | BibTeX data for RandLA−Net: Efficient Semantic Segmentation of Large−Scale Point Clouds | Download  (pdf) of RandLA−Net: Efficient Semantic Segmentation of Large−Scale Point Clouds | Link to RandLA−Net: Efficient Semantic Segmentation of Large−Scale Point Clouds

Conference papers

• [1]

  Learning with Stochastic Guidance for Robot Navigation

  Linhai Xie‚ Yishu Miao‚ Sen Wang‚ Phil Blunsom‚ Zhihua Wang‚ Changhao Cheng‚ Andrew Markham and Niki Trigoni

  In IEEE Transactions on Neural Networks and Learning Systems (TNNLS). IEEE. 2020.

  accepted

  Details about Learning with Stochastic Guidance for Robot Navigation | BibTeX data for Learning with Stochastic Guidance for Robot Navigation | Download  (pdf) of Learning with Stochastic Guidance for Robot Navigation

• [2]

  Defo−Net: Learning body deformation using generative adversarial networks

  N. Trigoni Z. Wang S. Rosa L. Xie B. Yang S. Wang and A. Markham

  In IEEE Intl Conference on Robotics and Automation (ICRA). 2018.

  Details about Defo−Net: Learning body deformation using generative adversarial networks | BibTeX data for Defo−Net: Learning body deformation using generative adversarial networks | Download of Defo−Net: Learning body deformation using generative adversarial networks

• [3]

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

  Zhihua Wang‚ Stefano Rosa‚ Bo Yang‚ Sen Wang‚ Niki Trigoni and Andrew Markham

  In 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence IJCAI−ECAI. 2018.

  Details about 3D−PhysNet: Learning the Intuitive Physics of Non−Rigid Object Deformations | BibTeX data for 3D−PhysNet: Learning the Intuitive Physics of Non−Rigid Object Deformations | Download  (pdf) of 3D−PhysNet: Learning the Intuitive Physics of Non−Rigid Object Deformations