| R3det: Refined single-stage detector with feature refinement for rotating object X Yang, J Yan, Z Feng, T He Thirty-Five AAAI Conference on Artificial Intelligence (AAAI'21) 35 (4 …, 2021 | 1058 | 2021 |
| Scrdet: Towards more robust detection for small, cluttered and rotated objects X Yang, J Yang, J Yan, Y Zhang, T Zhang, Z Guo, X Sun, K Fu International Conference on Computer Vision (ICCV'19), 8232-8241, 2019 | 1040 | 2019 |
| Arbitrary-Oriented Object Detection with Circular Smooth Label X Yang, J Yan European Conference on Computer Vision (ECCV'20), 677--694, 2020 | 586 | 2020 |
| Automatic ship detection in remote sensing images from google earth of complex scenes based on multiscale rotation dense feature pyramid networks X Yang, H Sun, K Fu, J Yang, X Sun, M Yan, Z Guo Remote sensing 10 (1), 132, 2018 | 573 | 2018 |
| Rethinking rotated object detection with gaussian wasserstein distance loss X Yang, J Yan, Q Ming, W Wang, X Zhang, Q Tian International Conference on Machine Learning (ICML'21), 11830-11841, 2021 | 487 | 2021 |
| Learning high-precision bounding box for rotated object detection via kullback-leibler divergence X Yang, XJ Yang, J Yang, Q Ming, W Wang, Q Tian, J Yan Advances in Neural Information Processing Systems (NeurIPS'21) 34, 2021 | 414 | 2021 |
| Learning modulated loss for rotated object detection W Qian, X Yang, S Peng, Y Guo, J Yan Thirty-Five AAAI Conference on Artificial Intelligence (AAAI'21) 35 (3 …, 2021 | 389 | 2021 |
| Dense label encoding for boundary discontinuity free rotation detection X Yang, L Hou, Y Zhou, W Wang, J Yan Computer Vision and Pattern Recognition (CVPR'21), 15819-15829, 2021 | 334 | 2021 |
| A densely connected end-to-end neural network for multiscale and multiscene SAR ship detection J Jiao, Y Zhang, H Sun, X Yang, X Gao, W Hong, K Fu, X Sun IEEE Access 6, 20881-20892, 2018 | 315 | 2018 |
| Scrdet++: Detecting small, cluttered and rotated objects via instance-level feature denoising and rotation loss smoothing X Yang, J Yan, W Liao, XK Yang, J Tang, T He IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 45 (2 …, 2022 | 299 | 2022 |
| MMRotate: A rotated object detection benchmark using pytorch Y Zhou*, X Yang*, G Zhang, J Wang, Y Liu, L Hou, X Jiang, X Liu, J Yan, ... The 30th ACM International Conference on Multimedia (ACM MM'22, Oral, Open …, 2022 | 287 | 2022 |
| The KFIoU Loss for Rotated Object Detection X Yang, Y Zhou, G Zhang, J Yang, W Wang, J Yan, X Zhang, Q Tian International Conference on Learning Representations (ICLR'23), 2023 | 200 | 2023 |
| Position detection and direction prediction for arbitrary-oriented ships via multitask rotation region convolutional neural network X Yang, H Sun, X Sun, M Yan, Z Guo, K Fu IEEE access 6, 50839-50849, 2018 | 200 | 2018 |
| On the arbitrary-oriented object detection: Classification based approaches revisited X Yang, J Yan International Journal of Computer Vision (IJCV) 130 (5), 1340-1365, 2022 | 168 | 2022 |
| 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 | 105 | 2021 |
| Detecting rotated objects as gaussian distributions and its 3-d generalization X Yang, G Zhang, XJ Yang, Y Zhou, W Wang, J Tang, T He, J Yan IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 | 90 | 2022 |
| InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT Beyond Language Z Liu, Y He, W Wang, W Wang, Y Wang, S Chen, Q Zhang, Y Yang, Q Li, ... arXiv preprint arXiv:2305.05662, 2023 | 88 | 2023 |
| 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 | 72 | 2021 |
| G-rep: Gaussian representation for arbitrary-oriented object detection L Hou, K Lu, X Yang, Y Li, J Xue Remote Sensing 15 (3), 757, 2023 | 68 | 2023 |
| H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection X Yang, G Zhang, W Li, X Wang, Y Zhou, J Yan International Conference on Learning Representations (ICLR'23), 2023 | 65 | 2023 |
Junchi YanFIAPR/FIET/IEEE-AI2Watch, Prof. SJTU (2018-), SII (2024-), IBM (2011-2018)Verified email at cs.sjtu.edu.cn
