Data management of RFID-based track-and-trace anti-counterfeiting in apparel supply chain. - Shiu Hong Choi; Bo Yang 027; H. H. Cheung; Y. X. Yang (ICITST, 2013)

A mechanised 3D scanning method for item-level radio frequency identification of palletised products. - Shiu Hong Choi; Bo Yang 027; H. H. Cheung (Comput. Ind., 2015)

RFID tag data processing in manufacturing for track-and-trace anti-counterfeiting. - Shiu Hong Choi; Bo Yang 027; H. H. Cheung; Y. X. Yang (Comput. Ind., 2015)

Item-level RFID for enhancement of customer shopping experience in apparel retail. - Shiu Hong Choi; Y. X. Yang; Bo Yang 027; H. H. Cheung (Comput. Ind., 2015)

Updating Wireless Signal Map with Bayesian Compressive Sensing. - Bo Yang 027; Suining He; S.-H. Gary Chan (MSWiM, 2016)

3D Object Reconstruction from a Single Depth View with Adversarial Learning. - Bo Yang 027; Hongkai Wen 001; Sen Wang 002; Ronald Clark; Andrew Markham; Niki Trigoni (ICCV Workshops, 2017)

Learning 3D Scene Semantics and Structure From a Single Depth Image. - Bo Yang 027; Zihang Lai; Xiaoxuan Lu 001; Shuyu Lin; Hongkai Wen 001; Andrew Markham; Niki Trigoni (CVPR Workshops, 2018)

DEFO-NET: Learning Body Deformation Using Generative Adversarial Networks. - Zhihua Wang 005; Stefano Rosa; Linhai Xie; Bo Yang 027; Sen Wang 002; Niki Trigoni; Andrew Markham (ICRA, 2018)

3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations. - Zhihua Wang 005; Stefano Rosa; Bo Yang 027; Sen Wang 002; Niki Trigoni; Andrew Markham (IJCAI, 2018)

3D Object Dense Reconstruction from a Single Depth View. - Bo Yang 027; Stefano Rosa; Andrew Markham; Niki Trigoni; Hongkai Wen 001 (CoRR, 2018)

Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction. - Bo Yang 027; Sen Wang 002; Andrew Markham; Niki Trigoni (CoRR, 2018)

Learning Semantically Meaningful Embeddings Using Linear Constraints. - Shuyu Lin; Bo Yang 027; Robert Birke; Ronald Clark (CVPR Workshops, 2019)

DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network. - Wei Wang 226; Muhamad Risqi Utama Saputra; Peijun Zhao; Pedro P. B. de Gusmao; Bo Yang 027; Changhao Chen; Andrew Markham; Niki Trigoni (IROS, 2019)

Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds. - Bo Yang 027; Jianan Wang; Ronald Clark; Qingyong Hu; Sen Wang 002; Andrew Markham; Niki Trigoni (NeurIPS, 2019)

Dense 3D Object Reconstruction from a Single Depth View. - Bo Yang 027; Stefano Rosa; Andrew Markham; Niki Trigoni; Hongkai Wen 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds. - Qingyong Hu; Bo Yang 027; Linhai Xie; Stefano Rosa; Yulan Guo; Zhihua Wang 005; Niki Trigoni; Andrew Markham (CVPR, 2020)

PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization. - Wei Wang 226; Bing Wang 013; Peijun Zhao; Changhao Chen; Ronald Clark; Bo Yang 027; Andrew Markham; Niki Trigoni (CoRR, 2020)

GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering. - Alex Trevithick; Bo Yang 027 (CoRR, 2020)

Learning to Reconstruct and Segment 3D Objects. - Bo Yang 027 (CoRR, 2020)

Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction. - Bo Yang 027; Sen Wang 002; Andrew Markham; Niki Trigoni (Int. J. Comput. Vis., 2020)

Learning to reconstruct and segment 3D objects. - Bo Yang 027 (2020)

SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration. - Sheng Ao; Qingyong Hu; Bo Yang 027; Andrew Markham; Yulan Guo (CVPR, 2021)

Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges. - Qingyong Hu; Bo Yang 027; Sheikh Khalid; Wen Xiao; Niki Trigoni; Andrew Markham (CVPR, 2021)

GRF: Learning a General Radiance Field for 3D Representation and Rendering. - Alex Trevithick; Bo Yang 027 (ICCV, 2021)

RadarLoc: Learning to Relocalize in FMCW Radar. - Wei Wang 226; Pedro Porto Buarque de Gusmão; Bo Yang 027; Andrew Markham; Niki Trigoni (ICRA, 2021)

SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds with 1000x Fewer Labels. - Qingyong Hu; Bo Yang 027; Guangchi Fang; Yulan Guo; Ales Leonardis; Niki Trigoni; Andrew Markham (CoRR, 2021)

SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds. - Qingyong Hu; Bo Yang 027; Guangchi Fang; Yulan Guo; Ales Leonardis; Niki Trigoni; Andrew Markham (ECCV (27), 2022)

OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds. - Ziyang Song; Bo Yang 027 (NeurIPS, 2022)

Promising or Elusive? Unsupervised Object Segmentation from Real-world Single Images. - Yafei Yang; Bo Yang 027 (NeurIPS, 2022)

RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds. - Bing Wang 013; Zhengdi Yu; Bo Yang 027; Jie Qin; Toby P. Breckon; Ling Shao 001; Niki Trigoni; Andrew Markham (CoRR, 2022)

SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds. - Qingyong Hu; Bo Yang 027; Sheikh Khalid; Wen Xiao; Niki Trigoni; Andrew Markham (Int. J. Comput. Vis., 2022)

Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling. - Qingyong Hu; Bo Yang 027; Linhai Xie; Stefano Rosa; Yulan Guo; Zhihua Wang 005; Niki Trigoni; Andrew Markham (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds. - Zihui Zhang; Bo Yang 027; Bing Wang 013; Bo Li 037 (CVPR, 2023)

DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images. - Bing Wang 013; Lu Chen; Bo Yang 027 (ICLR, 2023)

Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation. - Kai Lu 003; Bo Yang 027; Bing Wang 013; Andrew Markham (ICRA, 2023)

NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos. - Jinxi Li; Ziyang Song; Bo Yang 027 (NeurIPS, 2023)

RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency. - Zhuoman Liu; Bo Yang 027; Yan Luximon; Ajay Kumar; Jinxi Li (NeurIPS, 2023)

RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency. - Zhuoman Liu; Bo Yang 027 (CoRR, 2023)

SemanticFlow: Semantic Segmentation of Sequential LiDAR Point Clouds From Sparse Frame Annotations. - Junhao Zhao; Weijie Huang; Hai Wu; Chenglu Wen; Bo Yang 027; Yulan Guo; Cheng Wang 003 (IEEE Trans. Geosci. Remote. Sens., 2023)

You Only Train Once: Learning General and Distinctive 3D Local Descriptors. - Sheng Ao; Yulan Guo; Qingyong Hu; Bo Yang 027; Andrew Markham; Zengping Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

PositionNet: CNN-based GNSS positioning in urban areas with residual maps. - Penghui Xu; Guohao Zhang; Bo Yang 027; Li-Ta Hsu (Appl. Soft Comput., 2023)

OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos. - Ziyang Song; Jinxi Li; Bo Yang 027 (ICML, 2024)

Learning to Catch Reactive Objects with a Behavior Predictor. - Kai Lu 003; Jia-Xing Zhong; Bo Yang 027; Bing Wang 013; Andrew Markham (ICRA, 2024)

Benchmarking and Analysis of Unsupervised Object Segmentation from Real-World Single Images. - Yafei Yang; Bo Yang 027 (Int. J. Comput. Vis., 2024)

A Framework for Graphical GNSS Multipath and NLOS Mitigation. - Penghui Xu; Guohao Zhang; Yihan Zhong; Bo Yang 027; Li-Ta Hsu (IEEE Trans. Intell. Transp. Syst., 2024)

Unsupervised 3D Object Segmentation of Point Clouds by Geometry Consistency. - Ziyang Song; Bo Yang 027 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds. - Zihui Zhang; Weisheng Dai; Hongtao Wen 001; Bo Yang 027 (CVPR, 2025)

GrabS: Generative Embodied Agent for 3D Object Segmentation without Scene Supervision. - Zihui Zhang; Yafei Yang; Hongtao Wen 001; Bo Yang 027 (ICLR, 2025)

unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning. - Yafei Yang; Zihui Zhang; Bo Yang 027 (CoRR, 2025)