| DOTA: A large-scale dataset for object detection in aerial images GS Xia, X Bai, J Ding, Z Zhu, S Belongie, J Luo, M Datcu, M Pelillo, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 2456 | 2018 |
| Learning RoI transformer for oriented object detection in aerial images J Ding, N Xue, Y Long, GS Xia, Q Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1157* | 2019 |
| Align deep features for oriented object detection J Han, J Ding, J Li, GS Xia IEEE transactions on geoscience and remote sensing 60, 1-11, 2021 | 595 | 2021 |
| Redet: A rotation-equivariant detector for aerial object detection J Han, J Ding, N Xue, GS Xia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 502 | 2021 |
| Detco: Unsupervised contrastive learning for object detection E Xie, J Ding, W Wang, X Zhan, H Xu, P Sun, Z Li, P Luo Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 342 | 2021 |
| Object detection in aerial images: A large-scale benchmark and challenges J Ding, N Xue, GS Xia, X Bai, W Yang, MY Yang, S Belongie, J Luo, ... IEEE transactions on pattern analysis and machine intelligence 44 (11), 7778 …, 2021 | 319 | 2021 |
| Decoupling zero-shot semantic segmentation J Ding, N Xue, GS Xia, D Dai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 185 | 2022 |
| Mask OBB: A semantic attention-based mask oriented bounding box representation for multi-category object detection in aerial images J Wang, J Ding, H Guo, W Cheng, T Pan, W Yang Remote Sensing 11 (24), 2930, 2019 | 157 | 2019 |
| Expanding low-density latent regions for open-set object detection J Han, Y Ren, J Ding, X Pan, K Yan, GS Xia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 56 | 2022 |
| Deeply unsupervised patch re-identification for pre-training object detectors J Ding, E Xie, H Xu, C Jiang, Z Li, P Luo, GS Xia IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (3), 1348-1361, 2022 | 41* | 2022 |
| Dynamic coarse-to-fine learning for oriented tiny object detection C Xu, J Ding, J Wang, W Yang, H Yu, L Yu, GS Xia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 30 | 2023 |
| Few-shot object detection via variational feature aggregation J Han, Y Ren, J Ding, K Yan, GS Xia Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 755-763, 2023 | 23 | 2023 |
| Detecting building changes with off-nadir aerial images C Pang, J Wu, J Ding, C Song, GS Xia Science China Information Sciences 66 (4), 140306, 2023 | 18 | 2023 |
| Hgformer: Hierarchical grouping transformer for domain generalized semantic segmentation J Ding, N Xue, GS Xia, B Schiele, D Dai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 15 | 2023 |
| Minigpt4-video: Advancing multimodal llms for video understanding with interleaved visual-textual tokens K Ataallah, X Shen, E Abdelrahman, E Sleiman, D Zhu, J Ding, ... arXiv preprint arXiv:2404.03413, 2024 | 8 | 2024 |
| Icpr2018 contest on object detection in aerial images (odai-18) J Ding, Z Zhu, GS Xia, X Bai, S Belongie, J Luo, M Datcu, M Pelillo, ... 2018 24th International Conference on Pattern Recognition (ICPR), 1-6, 2018 | 8 | 2018 |
| Instance segmentation with oriented proposals for aerial images T Pan, J Ding, J Wang, W Yang, GS Xia IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 6 | 2020 |
| Prompting segmentation with sound is generalizable audio-visual source localizer Y Wang, W Liu, G Li, J Ding, D Hu, X Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 5669-5677, 2024 | 3 | 2024 |
| FreePoint: unsupervised point cloud instance segmentation Z Zhang, J Ding, L Jiang, D Dai, G Xia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
| On the robustness of object detection models in aerial images H He, J Ding, GS Xia arXiv preprint arXiv:2308.15378, 2023 | 3 | 2023 |
Gui-Song XiaProfessor of Computer Science, Wuhan University, China在 whu.edu.cn 的电子邮件经过验证
