| Rethinking rotated object detection with gaussian wasserstein distance loss X Yang, J Yan, Q Ming, W Wang, X Zhang, Q Tian Proceedings of the 38th International Conference on Machine Learning, 2021 | 375 | 2021 |
| Learning high-precision bounding box for rotated object detection via kullback-leibler divergence X Yang, X Yang, J Yang, Q Ming, W Wang, Q Tian, J Yan Advances in Neural Information Processing Systems 34, 18381-18394, 2021 | 306 | 2021 |
| Dynamic anchor learning for arbitrary-oriented object detection Q Ming, Z Zhou, L Miao, H Zhang, L Li Proceedings of the 35th AAAI Conference on Artificial Intelligence 35 (3 …, 2021 | 292 | 2021 |
| Cfc-net: A critical feature capturing network for arbitrary-oriented object detection in remote sensing images Q Ming, L Miao, Z Zhou, Y Dong IEEE Transactions on Geoscience and Remote Sensing, 2021 | 162 | 2021 |
| Optimization for arbitrary-oriented object detection via representation invariance loss Q Ming, L Miao, Z Zhou, X Yang, Y Dong IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 92 | 2021 |
| Sparse label assignment for oriented object detection in aerial images Q Ming, L Miao, Z Zhou, J Song, X Yang Remote Sensing 13 (14), 2664, 2021 | 65 | 2021 |
| Task interleaving and orientation estimation for high-precision oriented object detection in aerial images Q Ming, L Miao, Z Zhou, J Song, Y Dong, X Yang ISPRS Journal of Photogrammetry and Remote Sensing 196, 241-255, 2023 | 33 | 2023 |
| Fine-grained object detection in remote sensing images via adaptive label assignment and refined-balanced feature pyramid network J Song, L Miao, Q Ming, Z Zhou, Y Dong IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 12 | 2022 |
| Oriented feature alignment for fine-grained object recognition in high-resolution satellite imagery Q Ming, J Song, Z Zhou arXiv preprint arXiv:2110.06628, 2021 | 8 | 2021 |
| Towards accurate medical image segmentation with gradient-optimized dice loss Q Ming, X Xiao IEEE Signal Processing Letters, 2023 | 6 | 2023 |
| Deep dive into gradients: Better optimization for 3D object detection with gradient-corrected IoU supervision Q Ming, L Miao, Z Ma, L Zhao, Z Zhou, X Huang, Y Chen, Y Guo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| Optimized point set representation for oriented object detection in remote sensing images J Song, L Miao, Z Zhou, Q Ming, Y Dong IEEE Geoscience and Remote Sensing Letters, 2023 | 2 | 2023 |
| A novel object detector based on high-quality rotation proposal generation and adaptive angle optimization Y Qiao, L Miao, Z Zhou, Q Ming IEEE Transactions on Geoscience and Remote Sensing, 2023 | 2 | 2023 |
| Gradient calibration loss for fast and accurate oriented bounding box regression Q Ming, L Miao, Z Zhou, J Song, A Pižurica IEEE Transactions on Geoscience and Remote Sensing, 2024 | 1 | 2024 |
| AdaL: adaptive gradient transformation contributes to convergences and generalizations H Zhang, W Zou, H Zhao, Q Ming, T Yan, Y Xia, W Cao arXiv preprint arXiv:2107.01525, 2021 | 1 | 2021 |
| Not All Boxes Are Equal: Learning to Optimize Bounding Boxes with Discriminative Distributions in Optical Remote Sensing Images Q Ming, L Miao, Z Zhou, N Vercheval, A Pižurica IEEE Transactions on Geoscience and Remote Sensing, 2024 | | 2024 |
| System-Level Calibration Method Considering Nonorthogonal Angles in Dual-Axis Rotational Inertial Navigation System Y Lin, L Miao, Z Zhou, Q Ming International Conference on Guidance, Navigation and Control, 4277-4287, 2022 | | 2022 |
Zhiqiang ZhouBeijing Institute of Technology確認したメール アドレス: bit.edu.cn
