Bo Yang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 45

Top Topics

Top Venues

Int. J. Comput. Vis.

Publications

Ziyang Song, Jinxi Li, Bo Yang
OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos. CoRR (2024)
Yafei Yang, Bo Yang
Benchmarking and Analysis of Unsupervised Object Segmentation from Real-World Single Images. Int. J. Comput. Vis. 132 (6) (2024)
Kai Lu, Jia-Xing Zhong, Bo Yang, Bing Wang, Andrew Markham
Learning to Catch Reactive Objects with a Behavior Predictor. ICRA (2024)
Kai Lu, Bo Yang, Bing Wang, Andrew Markham
Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation. ICRA (2023)
Yafei Yang, Bo Yang
Benchmarking and Analysis of Unsupervised Object Segmentation from Real-world Single Images. CoRR (2023)
Sheng Ao, Yulan Guo, Qingyong Hu, Bo Yang, Andrew Markham, Zengping Chen
You Only Train Once: Learning General and Distinctive 3D Local Descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Jinxi Li, Ziyang Song, Bo Yang
NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos. CoRR (2023)
Junhao Zhao, Weijie Huang, Hai Wu, Chenglu Wen, Bo Yang, Yulan Guo, Cheng Wang
SemanticFlow: Semantic Segmentation of Sequential LiDAR Point Clouds From Sparse Frame Annotations. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Zihui Zhang, Bo Yang, Bing Wang, Bo Li
GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds. CVPR (2023)
Bing Wang, Lu Chen, Bo Yang
DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images. ICLR (2023)
Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham
SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds. Int. J. Comput. Vis. 130 (2) (2022)
Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Ales Leonardis, Niki Trigoni, Andrew Markham
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds. ECCV (27) (2022)
Bing Wang, Zhengdi Yu, Bo Yang, Jie Qin, Toby P. Breckon, Ling Shao, Niki Trigoni, Andrew Markham
RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds. CoRR (2022)
Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham
Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Alex Trevithick, Bo Yang
GRF: Learning a General Radiance Field for 3D Representation and Rendering. ICCV (2021)
Sheng Ao, Qingyong Hu, Bo Yang, Andrew Markham, Yulan Guo
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration. CVPR (2021)
Wei Wang, Pedro P. B. de Gusmao, Bo Yang, Andrew Markham, Niki Trigoni
RadarLoc: Learning to Relocalize in FMCW Radar. CoRR (2021)
Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Ales Leonardis, Niki Trigoni, Andrew Markham
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds with 1000x Fewer Labels. CoRR (2021)
Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges. CVPR (2021)
Wei Wang, Pedro Porto Buarque de Gusmão, Bo Yang, Andrew Markham, Niki Trigoni
RadarLoc: Learning to Relocalize in FMCW Radar. ICRA (2021)
Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham
Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling. CoRR (2021)
Wei Wang, Bing Wang, Peijun Zhao, Changhao Chen, Ronald Clark, Bo Yang, Andrew Markham, Niki Trigoni
PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization. CoRR (2020)
Sheng Ao, Qingyong Hu, Bo Yang, Andrew Markham, Yulan Guo
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration. CoRR (2020)
Alex Trevithick, Bo Yang
GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering. CoRR (2020)
Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds. CVPR (2020)
Bo Yang, Sen Wang, Andrew Markham, Niki Trigoni
Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction. Int. J. Comput. Vis. 128 (1) (2020)
Bo Yang
Learning to Reconstruct and Segment 3D Objects. CoRR (2020)
Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges. CoRR (2020)
Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds. CoRR (2019)
Wei Wang, Muhamad Risqi U. Saputra, Peijun Zhao, Pedro P. B. de Gusmao, Bo Yang, Changhao Chen, Andrew Markham, Niki Trigoni
DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network. IROS (2019)
Wei Wang, Muhamad Risqi U. Saputra, Peijun Zhao, Pedro P. B. de Gusmao, Bo Yang, Changhao Chen, Andrew Markham, Niki Trigoni
DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network. CoRR (2019)
Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds. CoRR (2019)
Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds. NeurIPS (2019)
Shuyu Lin, Bo Yang, Robert Birke, Ronald Clark
Learning Semantically Meaningful Embeddings Using Linear Constraints. CVPR Workshops (2019)
Bo Yang, Stefano Rosa, Andrew Markham, Niki Trigoni, Hongkai Wen
Dense 3D Object Reconstruction from a Single Depth View. IEEE Trans. Pattern Anal. Mach. Intell. 41 (12) (2019)
Zhihua Wang, Stefano Rosa, Linhai Xie, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham
Defo-Net: Learning Body Deformation using Generative Adversarial Networks. CoRR (2018)
Zhihua Wang, Stefano Rosa, Linhai Xie, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham
DEFO-NET: Learning Body Deformation Using Generative Adversarial Networks. ICRA (2018)
Bo Yang, Sen Wang, Andrew Markham, Niki Trigoni
Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction. CoRR (2018)
Bo Yang, Stefano Rosa, Andrew Markham, Niki Trigoni, Hongkai Wen
3D Object Dense Reconstruction from a Single Depth View. CoRR (2018)
Zhihua Wang, Stefano Rosa, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham
3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations. CoRR (2018)
Bo Yang, Zihang Lai, Xiaoxuan Lu, Shuyu Lin, Hongkai Wen, Andrew Markham, Niki Trigoni
Learning 3D Scene Semantics and Structure From a Single Depth Image. CVPR Workshops (2018)
Zhihua Wang, Stefano Rosa, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham
3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations. IJCAI (2018)
Bo Yang, Hongkai Wen, Sen Wang, Ronald Clark, Andrew Markham, Niki Trigoni
3D Object Reconstruction from a Single Depth View with Adversarial Learning. CoRR (2017)
Bo Yang, Hongkai Wen, Sen Wang, Ronald Clark, Andrew Markham, Niki Trigoni
3D Object Reconstruction from a Single Depth View with Adversarial Learning. ICCV Workshops (2017)
Bo Yang, Suining He, S.-H. Gary Chan
Updating Wireless Signal Map with Bayesian Compressive Sensing. MSWiM (2016)
S. H. Choi, Y. X. Yang, Bo Yang, H. H. Cheung
Item-level RFID for enhancement of customer shopping experience in apparel retail. Comput. Ind. 71 (2015)
S. H. Choi, Bo Yang, H. H. Cheung
A mechanised 3D scanning method for item-level radio frequency identification of palletised products. Comput. Ind. 72 (2015)
S. H. Choi, Bo Yang, H. H. Cheung, Y. X. Yang
RFID tag data processing in manufacturing for track-and-trace anti-counterfeiting. Comput. Ind. 68 (2015)
S. H. Choi, Bo Yang, H. H. Cheung, Y. X. Yang
Data management of RFID-based track-and-trace anti-counterfeiting in apparel supply chain. ICITST (2013)