Deep learning on 3D point clouds SA Bello, S Yu, C Wang, JM Adam, J Li Remote Sensing 12 (11), 1729, 2020 | 288 | 2020 |
Urban 3D modeling using mobile laser scanning: A review C Wang, C Wen, Y Dai, S Yu, M Liu Virtual Reality & Intelligent Hardware 2 (3), 175-212, 2020 | 62 | 2020 |
Deep regression for LiDAR-based localization in dense urban areas S Yu, C Wang, Z Yu, X Li, M Cheng, Y Zang ISPRS Journal of Photogrammetry and Remote Sensing 172, 240-252, 2021 | 12 | 2021 |
LiDAR-based localization using universal encoding and memory-aware regression S Yu, C Wang, C Wen, M Cheng, M Liu, Z Zhang, X Li Pattern Recognition 128, 108685, 2022 | 9 | 2022 |
Learning to match ground camera image and uav 3-d model-rendered image based on siamese network with attention mechanism W Liu, C Wang, X Bian, S Chen, S Yu, X Lin, SH Lai, D Weng, J Li IEEE Geoscience and Remote Sensing Letters 17 (9), 1608-1612, 2019 | 9 | 2019 |
Category-level adversaries for outdoor lidar point clouds cross-domain semantic segmentation Z Yuan, C Wen, M Cheng, Y Su, W Liu, S Yu, C Wang IEEE Transactions on Intelligent Transportation Systems 24 (2), 1982-1993, 2022 | 5 | 2022 |
Prototype-guided multitask adversarial network for cross-domain LiDAR point clouds semantic segmentation Z Yuan, M Cheng, W Zeng, Y Su, W Liu, S Yu, C Wang IEEE Transactions on Geoscience and Remote Sensing 61, 1-13, 2023 | 4 | 2023 |
SGLoc: Scene geometry encoding for outdoor LiDAR localization W Li, S Yu, C Wang, G Hu, S Shen, C Wen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
STCLoc: Deep LiDAR Localization With Spatio-Temporal Constraints S Yu, C Wang, Y Lin, C Wen, M Cheng, G Hu IEEE Transactions on Intelligent Transportation Systems 24 (1), 489-500, 2022 | 3 | 2022 |
NIDALoc: Neurobiologically Inspired Deep LiDAR Localization S Yu, X Sun, W Li, C Wen, Y Yang, B Si, G Hu, C Wang IEEE Transactions on Intelligent Transportation Systems, 2023 | | 2023 |