| NeRF: Neural radiance field in 3d vision, a comprehensive review K Gao, Y Gao, H He, D Lu, L Xu, J Li arXiv preprint arXiv:2210.00379, 2022 | 240 | 2022 |
| 3DCTN: 3D convolution-transformer network for point cloud classification D Lu, Q Xie, K Gao, L Xu, J Li IEEE Transactions on Intelligent Transportation Systems 23 (12), 24854-24865, 2022 | 88 | 2022 |
| Transformers in 3d point clouds: A survey D Lu, Q Xie, M Wei, K Gao, L Xu, J Li arXiv preprint arXiv:2205.07417, 2022 | 78 | 2022 |
| Mask R-CNN based automated identification and extraction of oil well sites H He, H Xu, Y Zhang, K Gao, H Li, L Ma, J Li International Journal of Applied Earth Observation and Geoinformation 112 …, 2022 | 55 | 2022 |
| 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 | 38 | 2021 |
| WSPointNet: A multi-branch weakly supervised learning network for semantic segmentation of large-scale mobile laser scanning point clouds X Lei, H Guan, L Ma, Y Yu, Z Dong, K Gao, MR Delavar, J Li International journal of applied earth observation and geoinformation 115 …, 2022 | 24 | 2022 |
| Dynamic monitoring and modeling of the growth-poverty-inequality trilemma in the Nile River Basin with consistent night-time data (2000–2020) Y Lin, T Zhang, X Liu, J Yu, J Li, K Gao International Journal of Applied Earth Observation and Geoinformation 112 …, 2022 | 19 | 2022 |
| Fusion of Hyperspectral-Multispectral images joining Spatial-Spectral Dual-Dictionary and structured sparse Low-rank representation N Chen, L Sui, B Zhang, H He, K Gao, Y Li, JM Junior, J Li International Journal of Applied Earth Observation and Geoinformation 104 …, 2021 | 13 | 2021 |
| Weakly supervised high spatial resolution land cover mapping based on self-training with weighted pseudo-labels W Liu, J Liu, Z Luo, H Zhang, K Gao, J Li International Journal of Applied Earth Observation and Geoinformation 112 …, 2022 | 12 | 2022 |
| 3DGTN: 3D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation D Lu, K Gao, Q Xie, L Xu, J Li IEEE Transactions on Geoscience and Remote Sensing, 2024 | 10 | 2024 |
| Super-resolving and composing building dataset using a momentum spatial-channel attention residual feature aggregation network H He, K Gao, W Tan, L Wang, N Chen, L Ma, J Li International Journal of Applied Earth Observation and Geoinformation 111 …, 2022 | 10 | 2022 |
| 3dpct: 3d point cloud transformer with dual self-attention D Lu, K Gao, Q Xie, L Xu, J Li ArXiv, abs/2209.11255 2, 2022 | 9 | 2022 |
| Coarse-to-fine matching via cross fusion of satellite images L Li, L Han, K Gao, H He, L Wang, J Li International Journal of Applied Earth Observation and Geoinformation 125 …, 2023 | 6 | 2023 |
| Optimizing and evaluating swin transformer for aircraft classification: Analysis and generalizability of the mtarsi dataset K Gao, H He, D Lu, L Xu, L Ma, J Li IEEE Access 10, 134427-134439, 2022 | 6 | 2022 |
| Waterloo building dataset: A city-scale vector building dataset for mapping building footprints using aerial orthoimagery H He, Z Jiang, K Gao, S Narges Fatholahi, W Tan, B Hu, H Xu, ... Geomatica 75 (3), 99-115, 2022 | 6 | 2022 |
| A region-based deep learning approach to instance segmentation of aerial orthoimagery for building rooftop extraction K Gao, M Chen, S Narges Fatholahi, H He, H Xu, J Marcato Junior, ... Geomatica 75 (1), 148-164, 2022 | 5 | 2022 |
| Photorealistic 3D Urban Scene Reconstruction and Point Cloud Extraction using Google Earth Imagery and Gaussian Splatting K Gao, D Lu, H He, L Xu, J Li IEEE Transactions on Geoscience and Remote Sensing, 2025 | 4 | 2025 |
| Dynamic clustering transformer network for point cloud segmentation D Lu, J Zhou, KY Gao, J Du, L Xu, J Li International Journal of Applied Earth Observation and Geoinformation 128 …, 2024 | 4 | 2024 |
| L4dr: Lidar-4dradar fusion for weather-robust 3d object detection X Huang, Z Xu, H Wu, J Wang, Q Xia, Y Xia, J Li, K Gao, C Wen, C Wang Proceedings of the the AAAI Conference on Artificial Intelligence, 2025 | 2 | 2025 |
| 3D Learnable Supertoken Transformer for LiDAR Point Cloud Scene Segmentation D Lu, J Zhou, K Gao, L Xu, J Li arXiv preprint arXiv:2405.15826, 2024 | 2 | 2024 |
Jonathan LiProfessor, Geomatics & Systems Design Engineering, University of Waterloo; RSC/CAE/EIC/IEEE Fellowuwaterloo.ca의 이메일 확인됨