papers.bib

---
---
% 2026
@inproceedings{liu2026Collaborative,
  title={Collaborative Feature Matching with Progressive Correspondence Learning},
  author={Liu, Xin and Han, Yanbing and Qin, Rong and Wang, Bing and Yang, Jufeng },
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  abbr = {AAAI},
  year={2026}
}

% 2025
@article{zhang2025GrowSP++,
  title={GrowSP++: Growing Superpoints and Primitives for Unsupervised 3D Semantic Segmentation},
  author={Zhang, Zihui and Dai, Weisheng and Wang, Bing and Li, Bo and Yang, Bo},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  abbr = {TPAMI},
  year={2025}
}

@article{fang2025efficient,
  title={Efficient Scene Modeling via Structure-Aware and Region-Prioritized 3D Gaussians},
  author={Fang, Guangchi and Wang, Bing},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  abbr = {TPAMI},
  selected = {true},
  year={2025}
}

@inproceedings{wen2025geometry,
  title={Geometry Aware 3D Multiview Thermal Reconstruction with Emissive Residual Decomposition Gaussian Splatting},
  author={Wen, Xiangyu and Fang, Guangchi and Yang, Bo and Wang, Bing},
  booktitle={Proceedings of the 2025 ACM International Workshop on Thermal Sensing and Computing},
  pages={7--12},
  abbr = {MobiCom},
  year={2025}
}

@article{ma2025cross,
  title={Cross-Modal 2D-3D Feature Matching: Simultaneous Local Feature Description and Detection across Images and Point Clouds},
  author={Ma, Wei and Huang, Yucheng and Tang, Shengjun and Zheng, Xianwei and Dong, Zhen and Ge, Liang and Pan, Jianping and Li, Qingquan and Wang, Bing},
  journal={ISPRS Journal of Photogrammetry and Remote Sensing},
  volume={229},
  pages={155--169},
  year={2025},
  abbr = {ISPRS J},
  selected = {true},
  publisher={Elsevier}
}

@inproceedings{lin2025off3d,
  title={OFF3D: Object-Centric Feature Field for 3D Scene Segmentation},
  author={Lin, Qinwei and Wang, Bing and Zhao, Junjie and Xu, Jun and Wang, Haoqian},
  journal={Proceedings of the IEEE International Conference on Multimedia and Expo},
  abbr = {ICME},
  year={2025},
}

@article{zhang2025spatial,
  title={Spatial-Temporal Diffusion Model for Underwater Scene Reconstruction With Application to AUV Navigation},
  author={Zhang, Zhengyan and Fang, Liang and Yan, Zheping and Chen, Tao and Wang, Bing and Wen, Chih-yung},
  journal={IEEE/ASME Transactions on Mechatronics},
  abbr = {TMech},
  year={2025},
  publisher={IEEE}
}

@article{guo2025neuv,
  title={NeuV-SLAM: Fast Neural Multiresolution Voxel Optimization for RGBD Dense SLAM},
  author={Guo, Wenzhi and Wang, Bing and Chen, Lijun},
  journal={IEEE Transactions on Multimedia},
  abbr = {TMM},
  year={2025},
  publisher={IEEE}
}

@article{huang2025novel,
  title={A Novel Sonar Image Preprocessing Method for AUV Positioning Based on Underwater SLAM},
  author={Huang, Haoqian and Zhang, Mengdie and Zhang, Li and Wang, Di and Wang, Bing},
  journal={IEEE Transactions on Instrumentation and Measurement},
  year={2025},
  abbr = {TIM},
  publisher={IEEE}
}

@article{hu2025underwater,
  title={Underwater Sequential Images Enhancement via Diffusion and Physics Priors Fusion},
  author={Hu, Haochen and Bin, Yanrui and Wen, Chih-yung and Wang, Bing},
  journal={Information Fusion},
  pages={103365},
  year={2025},
  abbr = {INFFUS},
  publisher={Elsevier}
}

@article{zhong2025high,
  title={A High-Quality Underwater 3D Reconstruction Solution for Coral Reef Environments Leveraging Advanced Photogrammetric Computer Vision Techniques},
  author={Zhong, Jiageng and Li, Ming and Gruen, Armin and Liao, Xuan and Qin, Jiangying and Wang, Bing},
  journal={Photogrammetric Engineering \& Remote Sensing},
  abbr = {PE&RS},
  volume={91},
  number={6},
  pages={361--370},
  year={2025},
  publisher={American Society for Photogrammetry and Remote Sensing}
}

@inproceedings{zhu2025mambaml,
  title={MambaML: Exploring State Space Models for Multi-Label Image Classification},
  author={Zhu, Xuelin and Liu, Jian and Cao, Jiuxin and Wang, Bing},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  abbr = {ICCV},
  pages={4743--4753},
  year={2025}
}

@inproceedings{gu2025mmone,
  title={MMOne: Representing Multiple Modalities in One Scene},
  author={Gu, Zhifeng and Wang, Bing},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={1088--1098},
  abbr = {ICCV},
  selected = {true},
  year={2025}
}

@inproceedings{gu2025mmone,
  title={NormalCrafter: Learning Temporally Consistent Normals from Video Diffusion Priors},
  author={Bin, Yanrui and Hu, Wenbo and Wang, Haoyuan and Chen, Xinya and Wang, Bing},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  abbr = {ICCV},
  year={2025}
}

% 2024
@inproceedings{fang2024mini,
  title={Mini-Splatting: Representing Scenes with a Constrained Number of Gaussians},
  author={Fang, Guangchi and Wang, Bing},
  booktitle={The European Conference on Computer Vision},
  abbr = {ECCV},
  arxiv = {2403.14166},
  code = {https://github.com/fatPeter/mini-splatting},
  selected = {true},
  year={2024}
}

@inproceedings{kang2024equi,
  title     = {Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration},
  author    = {Kang, Xueyang and Luan, Zhaoliang and Khoshelham, Kourosh and Wang, Bing},
  booktitle = {The European Conference on Computer Vision},
  abbr = {ECCV},
  code = {https://github.com/alexandor91/se3-equi-graph-registration},
  award = {ECCV'24 Oral},
  selected = {true},
  year  = {2024}
}

@article{xie2024look,
  title = {Look at the Whole Scene: General Point Cloud Place Recognition by Classification Proxy},
  author={Xie, Yue and Wang, Bing and Wang, Haiping and Liang, Fuxun and Zhang, Wenxiao and Dong, Zhen and Yang, Bisheng},
  journal={ISPRS Journal of Photogrammetry and Remote Sensing},
  abbr = {ISPRS J},
  html = {https://www.sciencedirect.com/science/article/abs/pii/S0924271624002557},
  code = {https://github.com/WHU-USI3DV/LAWS},
  selected = {true},
  year={2024}
}

@inproceedings{lu2024learning,
  title={Learning to Catch Reactive Objects with a Behavior Predictor},
  author={Lu, Kai and Zhong, Jia-Xing and Yang, Bo and Wang, Bing and Markham, Andrew},
  booktitle={IEEE International Conference on Robotics and Automation},
  abbr = {ICRA},  
  html = {https://ieeexplore.ieee.org/abstract/document/10611106},
  code = {https://github.com/kailucs/DynCatch},
  year={2024}
}

@article{jia2024drone,
  title={Drone-NeRF: Efficient NeRF Based 3D Scene Reconstruction for Large-Scale Drone Survey},
  author={Jia, Zhihao and Wang, Bing and Chen, Changhao},
  journal={Image and Vision Computing},
  arxiv = {2308.15733},
  abbr = {IVC}, 
  year={2024}
}

@article{zhou2024darkloc+,
  title={DarkLoc+: Thermal Image-Based Indoor Localization for Dark Environments with Relative Geometry Constraints},
  author={Zhou, Baoding and Xiao, Yufeng and Li, Qing and Sun, Chao and Wang, Bing and Pan, Longmin and Zhang, Dejin and Zhu, Jiasong and Li, Qingquan},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  html = {https://ieeexplore.ieee.org/abstract/document/10380645},
  abbr = {TGRS},
  year={2024}
}

@inproceedings{wang2024freereg,
title={FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators},
author={Wang, Haiping and Liu, Yuan and Wang, Bing and Sun, Yujing and Dong, Zhen and Wang, Wenping and Yang, Bisheng},
booktitle={The International Conference on Learning Representations},
abbr = {ICLR},
arxiv = {2310.03420},
code = {https://github.com/WHU-USI3DV/FreeReg},
website = {https://whu-usi3dv.github.io/FreeReg/},
year={2024}
}

@article{chen2024degradation,
  title={A Degradation-Robust Keyframe Selection Method Based on Image Quality Evaluation for Visual Localization},
  author={Chen, Jianfan and Li, Qingquan and Zhang, Wei and Wang, Bing and Zhang, Dejin},
  journal={IEEE Internet of Things Journal},
  html = {https://ieeexplore.ieee.org/abstract/document/10440571},
  abbr = {IOT J},
  year={2024}
}

% 2023
@article{chen2023deep,
  title={Deep Learning for Visual Localization and Mapping: A Survey},
  author={Chen, Changhao and Wang, Bing and Lu, Chris Xiaoxuan and Trigoni, Niki and Markham, Andrew},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  html = {https://ieeexplore.ieee.org/abstract/document/10260323},
  code = {https://github.com/changhao-chen/deep-learning-localization-mapping},
  abbr = {TNNLS},
  selected = {true},
  year={2023}
}

@article{ma2023complex,
  title={Complex Buildings Orientation Recognition and Description Based on Vector Reconstruction},
  author={Ma, Wei and Wang, Bing and Liu, Changzhen and Li, Qingquan and Yang, Chao and Pan, Jianping and Zhou, Baoding and Wang, Yankun},
  journal={International Journal of Applied Earth Observation and Geoinformation},
  html = {https://www.sciencedirect.com/science/article/pii/S1569843223003102},
  abbr = {JAG},
  year={2023}
}

@article{wang2023roreg,
  title={RoReg: Pairwise Point Cloud Registration with Oriented Descriptors and Local Rotations},
  author={Wang, Haiping and Liu, Yuan and Hu, Qingyong and Wang, Bing and Chen, Jianguo and Dong, Zhen and Guo, Yulan and Wang, Wenping and Yang, Bisheng},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  html = {https://ieeexplore.ieee.org/document/10044259},
  code = {https://github.com/HpWang-whu/RoReg},
  website = {https://hpwang-whu.github.io/RoReg/},
  abbr = {TPAMI},
  year={2023}
}

@article{zhao2023cubelearn,
  title={CubeLearn: End-to-end Learning for Human Motion Recognition from Raw mmWave Radar Signals},
  author={Zhao, Peijun and Lu, Chris Xiaoxuan and Wang, Bing and Trigoni, Niki and Markham, Andrew},
  journal={IEEE Internet of Things Journal},
  html = {https://ieeexplore.ieee.org/abstract/document/10018429/},
  code = {https://github.com/zhaoymn/cubelearn},
  abbr = {IOT J},
  year={2023}
}

@inproceedings{zhang2023growsp,
  title={GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds},
  author={Zhang, Zihui and Yang, Bo and Wang, Bing and Li, Bo},
  booktitle={The IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  html = {https://openaccess.thecvf.com/content/CVPR2023/html/Zhang_GrowSP_Unsupervised_Semantic_Segmentation_of_3D_Point_Clouds_CVPR_2023_paper.html},
  code = {https://github.com/vLAR-group/GrowSP},
  abbr = {CVPR},
  year={2023}
}

@inproceedings{wang2022dm,
title={DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images},
author={Wang, Bing and Chen, Lu and Yang, Bo},
booktitle={The International Conference on Learning Representations},
abbr = {ICLR},
arxiv = {2208.07227},
code = {https://github.com/vLAR-group/DM-NeRF},
selected  = {true},
year={2023}
}

% 2022
@article{chen2022learning,
  title={Learning Selective Sensor Fusion for State Estimation},
  author={Chen, Changhao and Rosa, Stefano and Lu, Chris Xiaoxuan and Wang, Bing and Trigoni, Niki and Markham, Andrew},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  abbr = {TNNLS},
  html = {https://ieeexplore.ieee.org/document/9788038},
  code = {https://github.com/changhao-chen/selective_sensor_fusion},
  year={2022}
}

@inproceedings{cai2022autoplace,
  author={Cai, Kaiwen and Wang, Bing and Lu, Chris Xiaoxuan},
  title     = {AutoPlace: Robust Place Recognition with Single-Chip AutomotiveRadar},
  booktitle={IEEE International Conference on Robotics and Automation},
  abbr = {ICRA}, 
  arxiv   = {2109.08652},
  video = {https://www.youtube.com/watch?v=d_-ZYJhgGIk},
  code = {https://github.com/ramdrop/AutoPlace},
  website = {https://ramdrop.github.io/assets/pages/AutoPlace/AutoPlace_customized.html},
  year = {2022},
}

@article{wang2022rangeudf,
  title={RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds},
  author={Wang, Bing and Yu, Zhengdi and Yang, Bo and Qin, Jie and Breckon, Toby and Shao, Ling and Trigoni, Niki and Markham, Andrew},
  journal={arXiv},
  abbr = {Preprint}, 
  preprint = {true},
  arxiv   = {2204.09138},
  code = {https://github.com/vLAR-group/RangeUDF},
  year={2022}
}

@inproceedings{zhong2022no,
  title={No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-Level Space-Time Surfaces},
  author={Zhong, Jia-Xing and Zhou, Kaichen and Hu, Qingyong and Wang, Bing and Trigoni, Niki and Markham, Andrew},
  booktitle={The IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  html = {https://openaccess.thecvf.com/content/CVPR2022/html/Zhong_No_Pain_Big_Gain_Classify_Dynamic_Point_Cloud_Sequences_With_CVPR_2022_paper.html},
  code = {https://github.com/jx-zhong-for-academic-purpose/Kinet},
  abbr = {CVPR},
  year={2022}
}

% 2021
@article{saputra2021graph,
  title={Graph-Based Thermal–Inertial SLAM With Probabilistic Neural Networks},
  author={Saputra, Muhamad Risqi U and Lu, Chris Xiaoxuan and de Gusmao, Pedro Porto B and Wang, Bing and Markham, Andrew and Trigoni, Niki},
  journal={IEEE Transactions on Robotics},
  abbr = {TRO},
  html = {https://ieeexplore.ieee.org/abstract/document/9623261},
  code = {https://github.com/risqiutama/ti-slam},
  year={2021}
}

@article{wang2021pointloc,
  title={PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization},
  author={Wang, Wei and Wang, Bing and Zhao, Peijun and Chen, Changhao and Clark, Ronald and Yang, Bo and Markham, Andrew and Trigoni, Niki},
  journal={IEEE Sensors Journal},
  abbr = {Sensors J},
  html = {https://ieeexplore.ieee.org/abstract/document/9617633},
  year={2021}
}

@article{chen2021dynanet,
  title={DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction},
  author={Chen, Changhao and Lu, Chris Xiaoxuan and Wang, Bing and Trigoni, Niki and Markham, Andrew},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  abbr = {TNNLS},
  html = {https://ieeexplore.ieee.org/abstract/document/9547669/},
  year = {2021}
}

@inproceedings{zhao20213d,
  title={3D Motion Capture of an Unmodified Drone with Single-Chip Millimeter Wave Radar},
  author={Zhao, Peijun and Lu, Chris Xiaoxuan and Wang, Bing and Trigoni, Niki and Markham, Andrew},
  booktitle={IEEE International Conference on Robotics and Automation},
  abbr = {ICRA},  
  html = {https://ieeexplore.ieee.org/document/9561738},
  code = {https://github.com/zhaoymn/mdrone},
  year={2021}
}

@inproceedings{zhou2021vmloc,
  title={VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization},
  author={Zhou, Kaichen and Chen, Changhao and Wang, Bing and Saputra, Muhamad Risqi U and Trigoni, Niki and Markham, Andrew},
  booktitle={The AAAI Conference on Artificial Intelligence},
  abbr = {AAAI},
  html = {https://cdn.aaai.org/ojs/16767/16767-13-20261-1-2-20210518.pdf},
  code = {https://github.com/kaichen-z/VMLoc},
  year={2021}
}

@inproceedings{wang2021p2,
  title={P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching},
  author={Wang, Bing and Chen, Changhao and Cui, Zhaopeng and Qin, Jie and Lu, Chris Xiaoxuan and Yu, Zhengdi and Zhao, Peijun and Dong, Zhen and Zhu, Fan and Trigoni, Niki and others},
  booktitle={The IEEE/CVF International Conference on Computer Vision},
  abbr = {ICCV},
  html = {https://openaccess.thecvf.com/content/ICCV2021/html/Wang_P2-Net_Joint_Description_and_Detection_of_Local_Features_for_Pixel_ICCV_2021_paper.html},
  code = {https://github.com/BingCS/P2-Net},
  selected  = {true},
  year={2021}
}

% 2020
@inproceedings{lu2020see,
  title={See Through Smoke: Robust Indoor Mapping with Low-cost mmWave Radar},
  author={Lu, Chris Xiaoxuan and Rosa, Stefano and Zhao, Peijun and Wang, Bing and Chen, Changhao and Stankovic, John A and Trigoni, Niki and Markham, Andrew},
  booktitle={The International Conference on Mobile Systems, Applications, and Services},
  arxiv = {1911.00398},
  html = {https://doi.org/10.1145/3386901.3388945},
  code = {https://github.com/ChristopherLu/milliMap},
  video = {https://www.youtube.com/watch?v=uPVJu1mCTYc},
  abbr = {MobiSys},
  year={2020}
}

@inproceedings{zhao2020heart,
  title={Heart Rate Sensing with a Robot Mounted mmWave Radar},
  author={Zhao, Peijun and Lu, Chris Xiaoxuan and Wang, Bing and Chen, Changhao and Xie, Linhai and Wang, Mengyu and Trigoni, Niki and Markham, Andrew},
  booktitle={IEEE International Conference on Robotics and Automation},
  abbr = {ICRA},  
  html = {https://doi.org/10.1109/ICRA40945.2020.9197437},
  code = {https://github.com/zhaoymn/mbeats},
  video = {https://youtu.be/L8lLnR8RTW8},
  year={2022}
}

@inproceedings{wang2020atloc,
  title={AtLoc: Attention Guided Camera Localization},
  author={Wang, Bing and Chen, Changhao and Lu, Chris Xiaoxuan and Zhao, Peijun and Trigoni, Niki and Markham, Andrew},
  booktitle={The AAAI Conference on Artificial Intelligence},
  abbr = {AAAI},
  html = {https://aaai.org/ojs/index.php/AAAI/article/view/6608},
  arxiv = {1909.03557},
  code = {https://github.com/BingCS/AtLoc},
  selected  = {true},
  award = {AAAI'20 Oral},
  year={2020}
}