| 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 | 1453 | 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 | 587* | 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 | 198 | 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 | 168 | 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 | 158 | 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 | 106 | 2021 |
| 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 | 75 | 2019 |
| 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, 2022 | 19* | 2022 |
| 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 | 11 | 2022 |
| 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 |
| 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 | 4 | 2022 |
| 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 | 4 | 2020 |
| LUAI Challenge 2021 on Learning to Understand Aerial Images GS Xia, J Ding, M Qian, N Xue, J Han, X Bai, MY Yang, S Li, S Belongie, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 762-768, 2021 | 2 | 2021 |
| Object detection in remote sensing J Ding, J Wang, W Yang, GS Xia Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote …, 2021 | 1 | 2021 |
| Few-Shot Object Detection via Variational Feature Aggregation J Han, Y Ren, J Ding, K Yan, GS Xia arXiv preprint arXiv:2301.13411, 2023 | | 2023 |
| Detecting Building Changes with Off-Nadir Aerial Images C Pang, J Wu, J Ding, C Song, GS Xia arXiv preprint arXiv:2301.10922, 2023 | | 2023 |
| Supplementary Material for “Decoupling Zero-Shot Semantic Segmentation” J Ding, N Xue, GS Xia, D Dai | | |
Gui-Song XiaProfessor of Computer Science, Wuhan University, ChinaVerified email at whu.edu.cn
