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Jian Ding
Jian Ding
Postdoc researcher, KAUST
Verified email at whu.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
22482018
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
1042*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
5042021
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
4302021
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
3152021
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
2702021
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
1402019
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
1362022
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
482022
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
37*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
192023
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
132023
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
92023
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
92023
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
82018
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
62020
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
22021
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
12024
On the robustness of object detection models in aerial images
H He, J Ding, GS Xia
arXiv preprint arXiv:2308.15378, 2023
12023
Towards generic and controllable attacks against object detection
G Li, Y Xu, J Ding, GS Xia
arXiv preprint arXiv:2307.12342, 2023
12023
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Articles 1–20