Bing Wang

Orcid: 0000-0003-0977-0426

Affiliations:

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 29 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

DarkLoc+: Thermal Image-Based Indoor Localization for Dark Environments With Relative Geometry Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Drone-NeRF: Efficient NeRF based 3D scene reconstruction for large-scale drone survey.

[BibT_eX]

[DOI]

Zhihao Jia

Bing Wang

Changhao Chen

Image Vis. Comput., 2024

Learning to Catch Reactive Objects with a Behavior Predictor.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Complex buildings orientation recognition and description based on vector reconstruction.

[BibT_eX]

[DOI]

Int. J. Appl. Earth Obs. Geoinformation, September, 2023

RoReg: Pairwise Point Cloud Registration With Oriented Descriptors and Local Rotations.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

CubeLearn: End-to-End Learning for Human Motion Recognition From Raw mmWave Radar Signals.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2023

Deep Learning for Visual Localization and Mapping: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

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

[BibT_eX]

[DOI]

Bing Wang

Lu Chen

Bo Yang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Graph-Based Thermal-Inertial SLAM With Probabilistic Neural Networks.

[BibT_eX]

[DOI]

Muhamad Risqi Utama Saputra

Chris Xiaoxuan Lu

Pedro Porto Buarque de Gusmão

Bing Wang

Andrew Markham

Niki Trigoni

IEEE Trans. Robotics, 2022

RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds.

[BibT_eX]

[DOI]

CoRR, 2022

AutoPlace: Robust Place Recognition with Single-chip Automotive Radar.

[BibT_eX]

[DOI]

Kaiwen Cai

Bing Wang

Chris Xiaoxuan Lu

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

AutoPlace: Robust Place Recognition with Low-cost Single-chip Automotive Radar.

[BibT_eX]

[DOI]

Kaiwen Cai

Bing Wang

Chris Xiaoxuan Lu

CoRR, 2021

3D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization.

[BibT_eX]

[DOI]

Kaichen Zhou

Changhao Chen

Bing Wang

Muhamad Risqi Utama Saputra

Niki Trigoni

Andrew Markham

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

3-D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar.

[BibT_eX]

[DOI]

CoRR, 2020

A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence.

[BibT_eX]

[DOI]

CoRR, 2020

MVLoc: Multimodal Variational Geometry-Aware Learning for Visual Localization.

[BibT_eX]

[DOI]

CoRR, 2020

PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization.

[BibT_eX]

[DOI]

CoRR, 2020

See through smoke: robust indoor mapping with low-cost mmWave radar.

[BibT_eX]

[DOI]

Proceedings of the MobiSys '20: The 18th Annual International Conference on Mobile Systems, 2020

Heart Rate Sensing with a Robot Mounted mmWave Radar.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

AtLoc: Attention Guided Camera Localization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Remote. Sens., 2018

A High-precision Dynamic Indoor Localization Algorithm Based on UWB Technology.

[BibT_eX]

[DOI]

Proceedings of the 2018 Ubiquitous Positioning, 2018

Bing Wang

Timeline

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