| Domain adaptation for image dehazing Y Shao, L Li, W Ren, C Gao, N Sang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 419 | 2020 |
| Oadtr: Online action detection with transformers X Wang, S Zhang, Z Qing, Y Shao, Z Zuo, C Gao, N Sang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 120 | 2021 |
| Self-supervised learning for semi-supervised temporal action proposal X Wang, S Zhang, Z Qing, Y Shao, C Gao, N Sang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 72 | 2021 |
| Spatial and class structure regularized sparse representation graph for semi-supervised hyperspectral image classification Y Shao, N Sang, C Gao, L Ma Pattern Recognition 81, 81-94, 2018 | 69 | 2018 |
| Multi-centroid representation network for domain adaptive person re-id Y Wu, T Huang, H Yao, C Zhang, Y Shao, C Han, C Gao, N Sang Proceedings of the AAAI conference on artificial intelligence 36 (3), 2750-2758, 2022 | 58 | 2022 |
| Self-supervised Low-Light Image Enhancement via Histogram Equalization Prior F Zhang, Y Shao, Y Sun, C Gao, N Sang Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 63-75, 2023 | 48 | 2023 |
| Gtnet: Generative transfer network for zero-shot object detection S Zhao, C Gao, Y Shao, L Li, C Yu, Z Ji, N Sang Proceedings of the AAAI conference on artificial intelligence 34 (07), 12967 …, 2020 | 47 | 2020 |
| Probabilistic class structure regularized sparse representation graph for semi-supervised hyperspectral image classification Y Shao, N Sang, C Gao, L Ma Pattern recognition 63, 102-114, 2017 | 44 | 2017 |
| Weakly supervised text-based person re-identification S Zhao, C Gao, Y Shao, WS Zheng, N Sang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 26 | 2021 |
| Joint image deblurring and matching with feature-based sparse representation prior J Peng, Y Shao, N Sang, C Gao Pattern Recognition 103, 107300, 2020 | 23 | 2020 |
| Semantic Compression Embedding for Generative Zero-Shot Learning. Z Hong, S Chen, GS Xie, W Yang, J Zhao, Y Shao, Q Peng, X You IJCAI, 956-963, 2022 | 20 | 2022 |
| Improving the generalization of MAML in few-shot classification via bi-level constraint Y Shao, W Wu, X You, C Gao, N Sang IEEE Transactions on Circuits and Systems for Video Technology 33 (7), 3284-3295, 2022 | 16 | 2022 |
| Instance-based feature pyramid for visual object tracking Z Pi, Y Shao, C Gao, N Sang IEEE Transactions on Circuits and Systems for Video Technology 32 (6), 3774-3787, 2021 | 14 | 2021 |
| CondNet: Conditional classifier for scene segmentation C Yu, Y Shao, C Gao, N Sang IEEE Signal Processing Letters 28, 758-762, 2021 | 14 | 2021 |
| Method and system for estimating blur kernel size N Sang, LI Lerenhan, YAN Luxin, GAO Changxin, S Yuanjie, P Juncai, ... US Patent 10,311,560, 2019 | 13 | 2019 |
| A discriminant sparse representation graph-based semi-supervised learning for hyperspectral image classification Y Shao, C Gao, N Sang Multimedia Tools and Applications 76, 10959-10971, 2017 | 10 | 2017 |
| Few-shot object detection: Research advances and challenges Z Xin, S Chen, T Wu, Y Shao, W Ding, X You Information Fusion, 102307, 2024 | 7 | 2024 |
| Weakly-supervised temporal action localization through local-global background modeling X Wang, Z Qing, Z Huang, Y Feng, S Zhang, J Jiang, M Tang, Y Shao, ... arXiv preprint arXiv:2106.11811, 2021 | 5 | 2021 |
| Joint image restoration and matching based on distance-weighted sparse representation Y Shao, N Sang, C Gao, W Lin 2018 24th International Conference on Pattern Recognition (ICPR), 2498-2503, 2018 | 5 | 2018 |
| Representation space-based discriminative graph construction for semisupervised hyperspectral image classification Y Shao, N Sang, C Gao IEEE Signal Processing Letters 25 (1), 35-39, 2017 | 4 | 2017 |
Changxin Gao (高常鑫)School of Artificial Intelligence and Automation, Huazhong University of Science & TechnologyVerified email at hust.edu.cn
