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ORCIDBing Wang 0013
Person information
- affiliation: University at Oxford, UK
- affiliation (former): Shenzhen University, Shenzhen Key Laboratory of Spatial Smart Sensing and Services, China
Other persons with the same name
- Bing Wang — disambiguation page
- Bing Wang 0001
![[0000-0002-7632-6512]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-7632-6512")
— University of Connecticut, Computer Science and Engineering Department, Storrs, CT, USA (and 1 more) - Bing Wang 0002 — Shanghai University, School of Mechatronics and Automation, China
- Bing Wang 0003 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Bing Wang 0004 — Tongji University, Shanghai, China (and 2 more)
- Bing Wang 0005 — Virginia Polytechnic Institute and State University, Department of Computer Science, Falls Church, VA, USA (and 1 more)
- Bing Wang 0006 — Shanghai Jiao Tong University, Department of Automation, Key Laboratory of System Control and Information Processing, China
- Bing Wang 0007 — Stony Brook University, Computer Science Department, Visual Analytics and Imaging Lab., NY, USA
- Bing Wang 0008 — East China Normal University, Department of Mathematics, Shanghai Key Laboratory of PMMP, China
- Bing Wang 0009 — National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China
- Bing Wang 0010 — China University of Petroleum, State Key Laboratory of Petroleum Resources and Prospecting, Beijing, China
- Bing Wang 0011 — University of New South Wales, Canberra, Australia
- Bing Wang 0012 — University of York, UK
- Bing Wang 0014 — Nanjing Normal University of Special Education, Nanjing, China
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Journal Articles
- 2024
[j8]Zhihao Jia, Bing Wang, Changhao Chen:
Drone-NeRF: Efficient NeRF based 3D scene reconstruction for large-scale drone survey. Image Vis. Comput. 143: 104920 (2024)- [j7]Baoding Zhou, Yufeng Xiao, Qing Li, Chao Sun, Bing Wang, Longmin Pan, Dejin Zhang, Jiasong Zhu, Qingquan Li:
DarkLoc+: Thermal Image-Based Indoor Localization for Dark Environments With Relative Geometry Constraints. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - 2023
- [j6]Wei Ma, Bing Wang, Changzhen Liu, Qingquan Li, Chao Yang, Jianping Pan, Baoding Zhou, Yankun Wang:
Complex buildings orientation recognition and description based on vector reconstruction. Int. J. Appl. Earth Obs. Geoinformation 123: 103486 (2023) - [j5]Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham:
CubeLearn: End-to-End Learning for Human Motion Recognition From Raw mmWave Radar Signals. IEEE Internet Things J. 10(12): 10236-10249 (2023) - [j4]Haiping Wang, Yuan Liu, Qingyong Hu, Bing Wang, Jianguo Chen, Zhen Dong, Yulan Guo, Wenping Wang, Bisheng Yang:
RoReg: Pairwise Point Cloud Registration With Oriented Descriptors and Local Rotations. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10376-10393 (2023) - 2022
- [j3]Muhamad Risqi Utama Saputra, Chris Xiaoxuan Lu, Pedro Porto Buarque de Gusmão, Bing Wang, Andrew Markham, Niki Trigoni:
Graph-Based Thermal-Inertial SLAM With Probabilistic Neural Networks. IEEE Trans. Robotics 38(3): 1875-1893 (2022) - 2021
- [j2]Changhao Chen, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham:
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5479-5491 (2021) - 2018
- [j1]Jiasong Zhu, Yanyan Liu, Bing Wang, Shirong Ye:
Improved Method for GLONASS Long Baseline Ambiguity Resolution without Inter-Frequency Code Bias Calibration. Remote. Sens. 10(8): 1223 (2018)
Conference and Workshop Papers
- 2023
- [c12]Zihui Zhang, Bo Yang, Bing Wang, Bo Li:
GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds. CVPR 2023: 17619-17629 - [c11]Bing Wang, Lu Chen, Bo Yang:
DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images. ICLR 2023 - [c10]Kai Lu, Bo Yang, Bing Wang, Andrew Markham:
Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation. ICRA 2023: 864-870 - 2022
- [c9]Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham:
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces. CVPR 2022: 8500-8510 - [c8]Kaiwen Cai, Bing Wang, Chris Xiaoxuan Lu:
AutoPlace: Robust Place Recognition with Single-chip Automotive Radar. ICRA 2022: 2222-2228 - 2021
- [c7]Kaichen Zhou, Changhao Chen, Bing Wang, Muhamad Risqi Utama Saputra, Niki Trigoni, Andrew Markham:
VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization. AAAI 2021: 6165-6173 - [c6]Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham:
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching. ICCV 2021: 15984-15993 - [c5]Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham:
3D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar. ICRA 2021: 5186-5192 - 2020
- [c4]Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni, Andrew Markham:
AtLoc: Attention Guided Camera Localization. AAAI 2020: 10393-10401 - [c3]Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Changhao Chen, Linhai Xie, Mengyu Wang, Niki Trigoni, Andrew Markham:
Heart Rate Sensing with a Robot Mounted mmWave Radar. ICRA 2020: 2812-2818 - [c2]Chris Xiaoxuan Lu, Stefano Rosa, Peijun Zhao, Bing Wang, Changhao Chen, John A. Stankovic, Niki Trigoni, Andrew Markham:
See through smoke: robust indoor mapping with low-cost mmWave radar. MobiSys 2020: 14-27 - 2018
- [c1]Bing Wang, Yanyan Liu, Qingquan Li, Zhuang Yan:
A High-precision Dynamic Indoor Localization Algorithm Based on UWB Technology. UPINLBS 2018: 1-7
Informal and Other Publications
- 2023
- [i18]Kai Lu, Bo Yang, Bing Wang, Andrew Markham:
Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation. CoRR abs/2303.04016 (2023) - [i17]Zihui Zhang, Bo Yang, Bing Wang, Bo Li:
GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds. CoRR abs/2305.16404 (2023) - [i16]Changhao Chen, Bing Wang, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham:
Deep Learning for Visual Localization and Mapping: A Survey. CoRR abs/2308.14039 (2023) - [i15]Zhihao Jia, Bing Wang, Changhao Chen:
Drone-NeRF: Efficient NeRF Based 3D Scene Reconstruction for Large-Scale Drone Survey. CoRR abs/2308.15733 (2023) - [i14]Haiping Wang, Yuan Liu, Bing Wang, Yujing Sun, Zhen Dong, Wenping Wang, Bisheng Yang:
FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators. CoRR abs/2310.03420 (2023) - 2022
- [i13]Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham:
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces. CoRR abs/2203.11113 (2022) - [i12]Bing Wang, Zhengdi Yu, Bo Yang, Jie Qin, Toby P. Breckon, Ling Shao, Niki Trigoni, Andrew Markham:
RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds. CoRR abs/2204.09138 (2022) - [i11]Bing Wang, Lu Chen, Bo Yang:
DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images. CoRR abs/2208.07227 (2022) - 2021
- [i10]Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham:
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching. CoRR abs/2103.01055 (2021) - [i9]Muhamad Risqi Utama Saputra, Chris Xiaoxuan Lu, Pedro P. B. de Gusmao, Bing Wang, Andrew Markham, Niki Trigoni:
Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks. CoRR abs/2104.07196 (2021) - [i8]Kaiwen Cai, Bing Wang, Chris Xiaoxuan Lu:
AutoPlace: Robust Place Recognition with Low-cost Single-chip Automotive Radar. CoRR abs/2109.08652 (2021) - [i7]Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham:
CubeLearn: End-to-end Learning for Human Motion Recognition from Raw mmWave Radar Signals. CoRR abs/2111.03976 (2021) - 2020
- [i6]Wei Wang, Bing Wang, Peijun Zhao, Changhao Chen, Ronald Clark, Bo Yang, Andrew Markham, Niki Trigoni:
PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization. CoRR abs/2003.02392 (2020) - [i5]Rui Zhou, Changhao Chen, Bing Wang, Andrew Markham, Niki Trigoni:
MVLoc: Multimodal Variational Geometry-Aware Learning for Visual Localization. CoRR abs/2003.07289 (2020) - [i4]Changhao Chen, Bing Wang, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham:
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence. CoRR abs/2006.12567 (2020) - [i3]Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham:
3-D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar. CoRR abs/2011.06730 (2020) - 2019
- [i2]Changhao Chen, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham:
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction. CoRR abs/1908.03918 (2019) - [i1]Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni, Andrew Markham:
AtLoc: Attention Guided Camera Localization. CoRR abs/1909.03557 (2019)
Coauthor Index
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