Bo Yang

Orcid: 0000-0002-2419-4140

Affiliations:
  • The Hong Kong Polytechnic University, Department of Computing, HKSAR
  • University of Oxford, Department of Computer Science, UK (former)
  • University of Hong Kong, Department of Industrial and Manufacturing Systems Engineering, Hong Kong (former)


According to our database1, Bo Yang authored at least 39 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
You Only Train Once: Learning General and Distinctive 3D Local Descriptors.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

SemanticFlow: Semantic Segmentation of Sequential LiDAR Point Clouds From Sparse Frame Annotations.
IEEE Trans. Geosci. Remote. Sens., 2023

NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos.
CoRR, 2023

Benchmarking and Analysis of Unsupervised Object Segmentation from Real-world Single Images.
CoRR, 2023

Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds.
Int. J. Comput. Vis., 2022

RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds.
CoRR, 2022

Promising or Elusive? Unsupervised Object Segmentation from Real-world Single Images.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds with 1000x Fewer Labels.
CoRR, 2021

RadarLoc: Learning to Relocalize in FMCW Radar.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

GRF: Learning a General Radiance Field for 3D Representation and Rendering.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Learning to reconstruct and segment 3D objects.
PhD thesis, 2020

Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction.
Int. J. Comput. Vis., 2020

Learning to Reconstruct and Segment 3D Objects.
CoRR, 2020

GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering.
CoRR, 2020

PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization.
CoRR, 2020

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Dense 3D Object Reconstruction from a Single Depth View.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Learning Semantically Meaningful Embeddings Using Linear Constraints.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction.
CoRR, 2018

3D Object Dense Reconstruction from a Single Depth View.
CoRR, 2018

3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

DEFO-NET: Learning Body Deformation Using Generative Adversarial Networks.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Learning 3D Scene Semantics and Structure From a Single Depth Image.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
3D Object Reconstruction from a Single Depth View with Adversarial Learning.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Updating Wireless Signal Map with Bayesian Compressive Sensing.
Proceedings of the 19th ACM International Conference on Modeling, 2016

2015
Item-level RFID for enhancement of customer shopping experience in apparel retail.
Comput. Ind., 2015

RFID tag data processing in manufacturing for track-and-trace anti-counterfeiting.
Comput. Ind., 2015

A mechanised 3D scanning method for item-level radio frequency identification of palletised products.
Comput. Ind., 2015

2013
Data management of RFID-based track-and-trace anti-counterfeiting in apparel supply chain.
Proceedings of the 8th International Conference for Internet Technology and Secured Transactions, 2013


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