| Deep learning for 3d point clouds: A survey Y Guo, H Wang, Q Hu, H Liu, L Liu, M Bennamoun IEEE transactions on pattern analysis and machine intelligence 43 (12), 4338 …, 2020 | 1693 | 2020 |
| Iterative tensor voting for pavement crack extraction using mobile laser scanning data H Guan, J Li, Y Yu, M Chapman, H Wang, C Wang, R Zhai IEEE Transactions on Geoscience and Remote Sensing 53 (3), 1527-1537, 2014 | 106 | 2014 |
| Learn multiple-kernel SVMs for domain adaptation in hyperspectral data Z Sun, C Wang, H Wang, J Li IEEE Geoscience and Remote Sensing Letters 10 (5), 1224-1228, 2013 | 88 | 2013 |
| Road boundaries detection based on local normal saliency from mobile laser scanning data H Wang, H Luo, C Wen, J Cheng, P Li, Y Chen, C Wang, J Li IEEE Geoscience and remote sensing letters 12 (10), 2085-2089, 2015 | 81 | 2015 |
| Vehicle Detection in High-Resolution Aerial Images Based on Fast Sparse Representation Classification and Multiorder Feature JL Ziyi Chen,Cheng Wang,Huan Luo,Hanyun Wang,Yiping Chen,Chenglu Wen ... IEEE Transactions on Intelligent Transportation Systems 17 (8), 2296 - 2309, 2016 | 68 | 2016 |
| Spatial-related traffic sign inspection for inventory purposes using mobile laser scanning data C Wen, J Li, H Luo, Y Yu, Z Cai, H Wang, C Wang IEEE Transactions on Intelligent Transportation Systems 17 (1), 27-37, 2015 | 61 | 2015 |
| Object detection in terrestrial laser scanning point clouds based on Hough forest H Wang, C Wang, H Luo, P Li, M Cheng, C Wen, J Li IEEE Geoscience and Remote Sensing Letters 11 (10), 1807-1811, 2014 | 56 | 2014 |
| Patch-based semantic labeling of road scene using colorized mobile LiDAR point clouds H Luo, C Wang, C Wen, Z Cai, Z Chen, H Wang, Y Yu, J Li IEEE Transactions on Intelligent Transportation Systems 17 (5), 1286-1297, 2015 | 53 | 2015 |
| Multispectral LiDAR Point Cloud Classification Using SE-PointNet++ Z Jing, GH Guan, Z Peiran, L Dilong, Y Yongtao, Z Yufu, W Hanyun, ... Remote Sensing 13, 2021 | 46 | 2021 |
| Automatic road extraction from mobile laser scanning data H Wang, Z Cai, H Luo, C Wang, P Li, W Yang, S Ren, J Li 2012 International conference on computer vision in remote sensing, 136-139, 2012 | 46 | 2012 |
| 3-D point cloud object detection based on supervoxel neighborhood with Hough forest framework H Wang, C Wang, H Luo, P Li, Y Chen, J Li IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 44 | 2015 |
| 3D Object Recognition and Pose Estimation From Point Cloud Using Stably Observed Point Pair Feature D Li, H Wang, N Liu, X Wang, J Xu IEEE Access 8, 44335 - 44345, 2020 | 30 | 2020 |
| AGFP-Net: Attentive geometric feature pyramid network for land cover classification using airborne multispectral LiDAR data D Li, X Shen, H Guan, Y Yu, H Wang, G Zhang, J Li, D Li International Journal of Applied Earth Observation and Geoinformation 108 …, 2022 | 26 | 2022 |
| Audio signal reconstruction based on adaptively selected seed points from laser speckle images Z Chen, C Wang, C Huang, H Fu, H Luo, H Wang Optics Communications 331, 6-13, 2014 | 22 | 2014 |
| Airborne multispectral LiDAR point cloud classification with a feature Reasoning-based graph convolution network P Zhao, H Guan, D Li, Y Yu, H Wang, K Gao, JM Junior, J Li International Journal of Applied Earth Observation and Geoinformation 105 …, 2021 | 21 | 2021 |
| Buffer: Balancing accuracy, efficiency, and generalizability in point cloud registration S Ao, Q Hu, H Wang, K Xu, Y Guo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 20 | 2023 |
| 3dac: Learning attribute compression for point clouds G Fang, Q Hu, H Wang, Y Xu, Y Guo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 19 | 2022 |
| Continuous Mapping Convolution for Large-Scale Point Clouds Semantic Segmentation K Yan, Q Hu, H Wang, X Huang, L Li, S Ji. IEEE Geoscience and Remote Sensing Letters, 1-5, 2021 | 17 | 2021 |
| Jointly optimizing global and local color consistency for multiple image mosaicking L Li, M Xia, C Liu, L Li, H Wang, J Yao ISPRS Journal of Photogrammetry and Remote Sensing 170, 45-56, 2020 | 16 | 2020 |
| Adv-Depth: Self-supervised Monocular Depth Estimation with an Adversarial Loss K Li, Z Fu, H Wang, Z Chen, Y Guo IEEE Signal Processing Letters, 2021 | 14 | 2021 |
Yulan GuoSenior Member of IEEE & ACMVerified email at nudt.edu.cn
