| A hierarchical path planning approach based on A⁎ and least-squares policy iteration for mobile robots L Zuo, Q Guo, X Xu, H Fu Neurocomputing 170, 257-266, 2015 | 91 | 2015 |
| Random forest for image annotation H Fu, Q Zhang, G Qiu Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 90 | 2012 |
| Segmenting overlapping cell nuclei in digital histopathology images J Shu, H Fu, G Qiu, P Kaye, M Ilyas 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 85 | 2013 |
| Multi-object tracking with correlation filter for autonomous vehicle D Zhao, H Fu, L Xiao, T Wu, B Dai Sensors 18 (7), 2004, 2018 | 66 | 2018 |
| A novel polar space random field model for the detection of glandular structures H Fu, G Qiu, J Shu, M Ilyas IEEE transactions on medical imaging 33 (3), 764-776, 2014 | 58 | 2014 |
| Large-scale outdoor slam based on 2d lidar R Ren, H Fu, M Wu Electronics 8 (6), 613, 2019 | 53 | 2019 |
| Salient covariance for near-duplicate image and video detection L Zheng, G Qiu, J Huang, H Fu 2011 18th IEEE International Conference on Image Processing, 2537-2540, 2011 | 34 | 2011 |
| SCNet: Subdivision coding network for object detection based on 3D point cloud Z Wang, H Fu, L Wang, L Xiao, B Dai IEEE Access 7, 120449-120462, 2019 | 29 | 2019 |
| IMU-aided high-frequency LiDAR odometry for autonomous driving H Xue, H Fu, B Dai Applied Sciences 9 (7), 1506, 2019 | 27 | 2019 |
| Detailed analysis on generating the range image for lidar point cloud processing T Wu, H Fu, B Liu, H Xue, R Ren, Z Tu Electronics 10 (11), 1224, 2021 | 26 | 2021 |
| LiDAR‐based robust localization for field autonomous vehicles in off‐road environments R Ren, H Fu, H Xue, X Li, X Hu, M Wu Journal of Field Robotics, 2021 | 22 | 2021 |
| Fast semantic image retrieval based on random forest H Fu, G Qiu Proceedings of the 20th ACM international conference on Multimedia, 909-912, 2012 | 21 | 2012 |
| Augmenting cascaded correlation filters with spatial–temporal saliency for visual tracking D Zhao, L Xiao, H Fu, T Wu, X Xu, B Dai Information Sciences 470, 78-93, 2019 | 20 | 2019 |
| LiDAR-based drivable region detection for autonomous driving H Xue, H Fu, R Ren, J Zhang, B Liu, Y Fan, B Dai 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 19 | 2021 |
| Integrating Low-level and Semantic Features for Object Consistent Segmentation GQ Hao Fu 2011 Sixth International Conference on Image and Graphics, 2011 | 19* | 2011 |
| 3D map-guided single indoor image localization refinement Q Li, J Zhu, J Liu, R Cao, H Fu, JM Garibaldi, Q Li, B Liu, G Qiu ISPRS Journal of Photogrammetry and Remote Sensing 161, 13-26, 2020 | 18 | 2020 |
| An efficient scan-to-map matching approach for autonomous driving H Fu, L Ye, R Yu, T Wu 2016 IEEE International Conference on Mechatronics and Automation, 1649-1654, 2016 | 17 | 2016 |
| Likelihood-field-model-based vehicle pose estimation with velodyne T Chen, B Dai, D Liu, H Fu, J Song, C Wei 2015 IEEE 18th International Conference on Intelligent Transportation …, 2015 | 16 | 2015 |
| Learn then match: A fast coarse-to-fine depth image-based indoor localization framework for dark environments via deep learning and keypoint-based geometry alignment Q Li, R Cao, J Zhu, H Fu, B Zhou, X Fang, S Jia, S Zhang, K Liu, Q Li ISPRS Journal of Photogrammetry and Remote Sensing 195, 169-177, 2023 | 14 | 2023 |
| An efficient scan-to-map matching approach based on multi-channel lidar H Fu, R Yu, L Ye, T Wu, X Xu Journal of Intelligent & Robotic Systems 91, 501-513, 2018 | 13 | 2018 |
Guoping QiuProfessor of Computer Science, University of Nottingham在 nottingham.ac.uk 的电子邮件经过验证
Guoping QiuProfessor of Computer Science, University of Nottingham在 nottingham.ac.uk 的电子邮件经过验证