Bo Yang : Publications

Journal papers

• [1]

  PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization

  Wei Wang‚ Bing Wang‚ Peijun Zhao‚ Changhao Chen‚ Ronald Clark‚ Bo Yang‚ Andrew Markham and Niki Trigoni

  In IEEE Sensors Journal. 2021.

  Details about PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization | BibTeX data for PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization | Download  (pdf) of PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization

• [2]

  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

• [3]

  RadarLoc: Learning to Relocalize in FMCW Radar

  Wei Wang Pedro P. B. de Gusmao Bo Yang Andrew Markham and Niki Trigoni

  In IEEE International Conference on Robotics and Automation (ICRA). 2021.

  Details about RadarLoc: Learning to Relocalize in FMCW Radar | BibTeX data for RadarLoc: Learning to Relocalize in FMCW Radar | Download  (pdf) of RadarLoc: Learning to Relocalize in FMCW Radar

• [4]

  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

• [5]

  Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds

  Bo Yang‚ Jianan Wang‚ Ronald Clark‚ Qingyong Hu‚ Sen Wang‚ Andrew Markham and Niki Trigoni

  In Conference on Neural Information Processing Systems (NeurIPS Spotlight). 2019.

  Details about Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds | BibTeX data for Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds | Download  (pdf) of Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds | Link to Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds

• [6]

  Robust Attentional Aggregation of Deep Feature Sets for Multi−view 3D Reconstruction

  Bo Yang‚ Sen Wang‚ Andrew Markham and Niki Trigoni

  In International Journal of Computer Vision (IJCV). 2019.

  Details about Robust Attentional Aggregation of Deep Feature Sets for Multi−view 3D Reconstruction | BibTeX data for Robust Attentional Aggregation of Deep Feature Sets for Multi−view 3D Reconstruction | Download  (pdf) of Robust Attentional Aggregation of Deep Feature Sets for Multi−view 3D Reconstruction | DOI (10.1007/s11263-019-01217-w)

• [7]

  Dense 3D Object Reconstruction from a Single Depth View

  Bo Yang‚ Stefano Rosa‚ Andrew Markham‚ Niki Trigoni and Hongkai Wen

  In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2018.

  Details about Dense 3D Object Reconstruction from a Single Depth View | BibTeX data for Dense 3D Object Reconstruction from a Single Depth View | Download  (pdf) of Dense 3D Object Reconstruction from a Single Depth View | DOI (10.1109/TPAMI.2018.2868195)

• [8]

  3D Object Dense Reconstruction from a Single Depth View with Adversarial Learning

  Bo Yang‚ Hongkai Wen‚ Sen Wang‚ Ronald Clark‚ Andrew Markham and Niki Trigoni

  In International Conference on Computer Vision (ICCV) Workshops. 2017.

  Details about 3D Object Dense Reconstruction from a Single Depth View with Adversarial Learning | BibTeX data for 3D Object Dense Reconstruction from a Single Depth View with Adversarial Learning | Download  (pdf) of 3D Object Dense Reconstruction from a Single Depth View with Adversarial Learning | DOI (10.1109/ICCVW.2017.86)