Bo Yang

Bo Yang

University of Oxford

H-index: 17

Europe-United Kingdom

About Bo Yang

Bo Yang, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Machine Learning, Computer Vision, Robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Benchmarking and Analysis of Unsupervised Object Segmentation from Real-world Single Images

NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos

RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency

GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds

Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation

DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images

OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds

Promising or Elusive? Unsupervised Object Segmentation from Real-world Single Images

Bo Yang Information

University

Position

Asst Prof Hong Kong Polytechnic University; DPhil

Citations(all)

3215

Citations(since 2020)

3168

Cited By

626

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

20

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

Bo Yang Skills & Research Interests

Machine Learning

Computer Vision

Robotics

Top articles of Bo Yang

Benchmarking and Analysis of Unsupervised Object Segmentation from Real-world Single Images

International Journal of Computer Vision (IJCV), 2023

2023/12/8

NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos

Advances in Neural Information Processing Systems (NeurIPS), 2023

2023/12/11

RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency

Advances in Neural Information Processing Systems (NeurIPS), 2023

2023/10/30

GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds

2023/6

Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation

International Conference on Robotics and Automation (ICRA), 2023

2023/3/7

DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images

arXiv preprint arXiv:2208.07227

2022/8/15

OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds

Advances in Neural Information Processing Systems (NeurIPS), 2022

2022/12/6

Promising or Elusive? Unsupervised Object Segmentation from Real-world Single Images

Advances in Neural Information Processing Systems (NeurIPS), 2022

2022/10/5

You Only Train Once: Learning General and Distinctive 3D Local Descriptors

IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI)

2022/6/9

RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds

arXiv preprint arXiv:2204.09138

2022/4/19

SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds

2021/4/11

SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds

International Journal of Computer Vision

2022/2

GRF: Learning a General Radiance Field for 3D Representation and Rendering

International Conference on Computer Vision (ICCV), 2021

2021/10

SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021)

2020/11/24

Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021)

2020/9/7

Learning Semantic Segmentation of Large-scale Point Clouds with Random Sampling

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

2021/5

Learning to Reconstruct and Segment 3D Objects

2020/9/28

See List of Professors in Bo Yang University(University of Oxford)