Bing Wang
Orcid: 0000-0003-0977-0426Affiliations:
- University at Oxford, UK
- Shenzhen University, Shenzhen Key Laboratory of Spatial Smart Sensing and Services, China (former)
According to our database1,
Bing Wang
authored at least 32 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., December, 2024
WHU-Railway3D: A Diverse Dataset and Benchmark for Railway Point Cloud Semantic Segmentation.
IEEE Trans. Intell. Transp. Syst., December, 2024
DarkLoc+: Thermal Image-Based Indoor Localization for Dark Environments With Relative Geometry Constraints.
IEEE Trans. Geosci. Remote. Sens., 2024
Drone-NeRF: Efficient NeRF based 3D scene reconstruction for large-scale drone survey.
Image Vis. Comput., 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration.
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Complex buildings orientation recognition and description based on vector reconstruction.
Int. J. Appl. Earth Obs. Geoinformation, September, 2023
RoReg: Pairwise Point Cloud Registration With Oriented Descriptors and Local Rotations.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023
CubeLearn: End-to-End Learning for Human Motion Recognition From Raw mmWave Radar Signals.
IEEE Internet Things J., 2023
Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Robotics, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
CoRR, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence.
CoRR, 2020
CoRR, 2020
Proceedings of the MobiSys '20: The 18th Annual International Conference on Mobile Systems, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2018
Improved Method for GLONASS Long Baseline Ambiguity Resolution without Inter-Frequency Code Bias Calibration.
Remote. Sens., 2018
Proceedings of the 2018 Ubiquitous Positioning, 2018