Bing Wang

According to our database, Bing Wang authored at least 24 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham

IEEE Internet Things J., 2023

Drone-NeRF: Efficient NeRF Based 3D Scene Reconstruction for Large-Scale Drone Survey.

Zhihao Jia, Bing Wang, Changhao Chen

CoRR, 2023

Deep Learning for Visual Localization and Mapping: A Survey.

Changhao Chen, Bing Wang, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham

CoRR, 2023

Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation.

Kai Lu, Bo Yang, Bing Wang, Andrew Markham

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

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

Bing Wang, Lu Chen, Bo Yang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds.

Zihui Zhang, Bo Yang, Bing Wang, Bo Li

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

2022

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

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.

Bing Wang, Zhengdi Yu, Bo Yang, Jie Qin, Toby P. Breckon, Ling Shao, Niki Trigoni, Andrew Markham

CoRR, 2022

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

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.

Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham

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

2021

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

Changhao Chen, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham

IEEE Trans. Neural Networks Learn. Syst., 2021

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

Kaiwen Cai, Bing Wang, Chris Xiaoxuan Lu

CoRR, 2021

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

Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham

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.

Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham

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

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

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.

Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham

CoRR, 2020

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

Changhao Chen, Bing Wang, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham

CoRR, 2020

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

Rui Zhou, Changhao Chen, Bing Wang, Andrew Markham, Niki Trigoni

CoRR, 2020

PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization.

Wei Wang, Bing Wang, Peijun Zhao, Changhao Chen, Ronald Clark, Bo Yang, Andrew Markham, Niki Trigoni

CoRR, 2020

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

Chris Xiaoxuan Lu, Stefano Rosa, Peijun Zhao, Bing Wang, Changhao Chen, John A. Stankovic, Niki Trigoni, Andrew Markham

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

Heart Rate Sensing with a Robot Mounted mmWave Radar.

Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Changhao Chen, Linhai Xie, Mengyu Wang, Niki Trigoni, Andrew Markham

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

AtLoc: Attention Guided Camera Localization.

Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni, Andrew Markham

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.

Jiasong Zhu, Yanyan Liu, Bing Wang, Shirong Ye

Remote. Sens., 2018

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

Bing Wang, Yanyan Liu, Qingquan Li, Zhuang Yan

Proceedings of the 2018 Ubiquitous Positioning, 2018