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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.uni-trier.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
- 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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2020 – today
- 2025
[j18]Changhao Chen, Stefano Rosa, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham:
Learning Selective Sensor Fusion for State Estimation. IEEE Trans. Neural Networks Learn. Syst. 36(3): 4103-4117 (2025)- [i30]Sihao Lin, Daqi Liu, Ruochong Fu, Dongrui Liu, Andy Song, Hongwei Xie, Zhihui Li, Bing Wang, Xiaojun Chang:
Learning A Zero-shot Occupancy Network from Vision Foundation Models via Self-supervised Adaptation. CoRR abs/2503.07125 (2025) - 2024
- [j17]Jianfan Chen, Qingquan Li, Wei Zhang, Bing Wang, Dejin Zhang:
A Degradation-Robust Keyframe Selection Method Based on Image Quality Evaluation for Visual Localization. IEEE Internet Things J. 11(10): 18421-18434 (2024) - [j16]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) - [j15]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) - [j14]Bo Qiu, Yuzhou Zhou, Lei Dai, Bing Wang, Jianping Li, Zhen Dong, Chenglu Wen, Zhiliang Ma, Bisheng Yang:
WHU-Railway3D: A Diverse Dataset and Benchmark for Railway Point Cloud Semantic Segmentation. IEEE Trans. Intell. Transp. Syst. 25(12): 20900-20916 (2024) - [j13]Changhao Chen, Bing Wang, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham:
Deep Learning for Visual Localization and Mapping: A Survey. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17000-17020 (2024) - [c22]Xueyang Kang, Zhaoliang Luan, Kourosh Khoshelham, Bing Wang:
Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration. ECCV (4) 2024: 149-167 - [c21]Guangchi Fang, Bing Wang:
Mini-Splatting: Representing Scenes with a Constrained Number of Gaussians. ECCV (77) 2024: 165-181 - [c20]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. ICLR 2024 - [c19]Kai Lu, Jia-Xing Zhong, Bo Yang, Bing Wang, Andrew Markham:
Learning to Catch Reactive Objects with a Behavior Predictor. ICRA 2024: 9205-9211 - [i29]Wenzhi Guo, Bing Wang, Lijun Chen:
NeuV-SLAM: Fast Neural Multiresolution Voxel Optimization for RGBD Dense SLAM. CoRR abs/2402.02020 (2024) - [i28]Ying Chen, Yong Liu, Kai Wu, Qiang Nie, Shang Xu, Huifang Ma, Bing Wang, Chengjie Wang:
HCPM: Hierarchical Candidates Pruning for Efficient Detector-Free Matching. CoRR abs/2403.12543 (2024) - [i27]Guangchi Fang, Bing Wang:
Mini-Splatting: Representing Scenes with a Constrained Number of Gaussians. CoRR abs/2403.14166 (2024) - [i26]Dongrui Liu, Daqi Liu, Xueqian Li, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Lei Chu:
Self-Supervised Multi-Frame Neural Scene Flow. CoRR abs/2403.16116 (2024) - [i25]Huaiji Zhou, Bing Wang, Changhao Chen:
Matching Query Image Against Selected NeRF Feature for Efficient and Scalable Localization. CoRR abs/2406.11766 (2024) - [i24]Xueyang Kang, Zhaoliang Luan, Kourosh Khoshelham, Bing Wang:
Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration. CoRR abs/2410.05729 (2024) - 2023
- [j12]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) - [j11]Xiaolong Wei, Wenpeng Cui, Xianglin Huang, Lifang Yang, Zhulin Tao, Bing Wang:
Graph MADDPG with RNN for multiagent cooperative environment. Frontiers Neurorobotics 17 (2023) - [j10]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) - [j9]Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang:
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Vision Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4430-4446 (2023) - [j8]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) - [c18]Zihui Zhang, Bo Yang, Bing Wang, Bo Li:
GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds. CVPR 2023: 17619-17629 - [c17]Bing Wang, Lu Chen, Bo Yang:
DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images. ICLR 2023 - [c16]Kai Lu, Bo Yang, Bing Wang, Andrew Markham:
Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation. ICRA 2023: 864-870 - [i23]Kai Lu, Bo Yang, Bing Wang, Andrew Markham:
Decoupling Skill Learning from Robotic Control for Generalizable Object Manipulation. CoRR abs/2303.04016 (2023) - [i22]Zihui Zhang, Bo Yang, Bing Wang, Bo Li:
GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds. CoRR abs/2305.16404 (2023) - [i21]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) - [i20]Zhihao Jia, Bing Wang, Changhao Chen:
Drone-NeRF: Efficient NeRF Based 3D Scene Reconstruction for Large-Scale Drone Survey. CoRR abs/2308.15733 (2023) - [i19]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
- [j7]Bing Wang, Xianglin Huang, Gang Cao, Lifang Yang, Xiaolong Wei, Zhulin Tao:
Attention-enhanced and trusted multimodal learning for micro-video venue recognition. Comput. Electr. Eng. 102: 108127 (2022) - [j6]Xiaolong Wei, Xianglin Huang, Lifang Yang, Gang Cao, Zhulin Tao, Bing Wang, Jing An:
Hierarchical RNNs-Based transformers MADDPG for mixed cooperative-competitive environments. J. Intell. Fuzzy Syst. 43(1): 1011-1022 (2022) - [j5]Bing Wang, Xianglin Huang, Gang Cao, Lifang Yang, Xiaolong Wei, Zhulin Tao:
Hybrid-attention and frame difference enhanced network for micro-video venue recognition. J. Intell. Fuzzy Syst. 43(3): 3337-3353 (2022) - [j4]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) - [c15]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 - [c14]Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang:
Knowledge Distillation via the Target-aware Transformer. CVPR 2022: 10905-10914 - [c13]Kaiwen Cai, Bing Wang, Chris Xiaoxuan Lu:
AutoPlace: Robust Place Recognition with Single-chip Automotive Radar. ICRA 2022: 2222-2228 - [i18]Li Liu, Qingle Huang, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Xiaodan Liang:
Exploring Inter-Channel Correlation for Diversity-preserved KnowledgeDistillation. CoRR abs/2202.03680 (2022) - [i17]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) - [i16]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) - [i15]Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang:
Knowledge Distillation via the Target-aware Transformer. CoRR abs/2205.10793 (2022) - [i14]Bing Wang, Lu Chen, Bo Yang:
DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images. CoRR abs/2208.07227 (2022) - 2021
- [j3]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) - [c12]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 - [c11]Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang:
Dynamic Slimmable Network. CVPR 2021: 8607-8617 - [c10]Li Liu, Qingle Huang, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Xiaodan Liang:
Exploring Inter-Channel Correlation for Diversity-preserved Knowledge Distillation. ICCV 2021: 8251-8260 - [c9]Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang:
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search. ICCV 2021: 12261-12271 - [c8]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 - [c7]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 - [i13]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) - [i12]Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang:
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search. CoRR abs/2103.12424 (2021) - [i11]Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang:
Dynamic Slimmable Network. CoRR abs/2103.13258 (2021) - [i10]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) - [i9]Kaiwen Cai, Bing Wang, Chris Xiaoxuan Lu:
AutoPlace: Robust Place Recognition with Low-cost Single-chip Automotive Radar. CoRR abs/2109.08652 (2021) - [i8]Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang:
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers. CoRR abs/2109.10060 (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
- [j2]Xiaolong Wei, Lifang Yang, Gang Cao, Tao Lu, Bing Wang:
Recurrent MADDPG for Object Detection and Assignment in Combat Tasks. IEEE Access 8: 163334-163343 (2020) - [c6]Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni, Andrew Markham:
AtLoc: Attention Guided Camera Localization. AAAI 2020: 10393-10401 - [c5]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 - [c4]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 - [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)
2010 – 2019
- 2019
- [c3]Zhulin Tao, Bing Wang, Wenmei Wang, Lifang Yang, Qingyu Zhou:
Spatial Feature Collaborative Network for Trademark Image Retrieval. CCIS 2019: 144-148 - [c2]Xianglin Huang, Ruoyun Li, Bing Wang, Lei Li:
Classification of the Functions of Urban Area Based on Deep Learning. ICITEE 2019: 156:1-156:5 - [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) - 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) - [c1]Bing Wang, Yanyan Liu, Qingquan Li, Zhuang Yan:
A High-precision Dynamic Indoor Localization Algorithm Based on UWB Technology. UPINLBS 2018: 1-7
Coauthor Index
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