| Semi-supervised transfer learning for image rain removal W Wei, D Meng, Q Zhao, Z Xu, Y Wu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 286 | 2019 |
| Video rain streak removal by multiscale convolutional sparse coding M Li, Q Xie, Q Zhao, W Wei, S Gu, J Tao, D Meng Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 174 | 2018 |
| Should We Encode Rain Streaks in Video as Deterministic or Stochastic? W Wei, L Yi, Q Xie, Q Zhao, D Meng, Z Xu Proceedings of the IEEE International Conference on Computer Vision, 2516-2525, 2017 | 137 | 2017 |
| Robust online rain removal for surveillance videos with dynamic rains L Yi, Q Zhao, W Wei, Z Xu Knowledge-Based Systems 222, 107006, 2021 | 7 | 2021 |
| Balancing Between Forgetting and Acquisition in Incremental Subpopulation Learning M Liang, J Zhou, W Wei, Y Wu Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 5 | 2022 |
| Beyond Visual Attractiveness: Physically Plausible Single Image HDR Reconstruction for Spherical Panoramas W Wei, L Guan, Y Liu, H Kang, H Li, Y Wu, G Hua arXiv preprint arXiv:2103.12926, 2021 | 2 | 2021 |
| Metaview: Few-shot active object recognition W Wei, H Yu, H Zhang, W Xu, Y Wu arXiv preprint arXiv:2103.04242, 2021 | 2 | 2021 |
| FLAR: a unified prototype framework for few-sample lifelong active recognition L Fan, P Xiong, W Wei, Y Wu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 2 | 2021 |
| Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness W Wei, J Zhou, Y Wu arXiv preprint arXiv:2303.16861, 2023 | | 2023 |
| ALUM: Adversarial Data Uncertainty Modeling from Latent Model Uncertainty Compensation W Wei, J Zhou, H Li, Y Wu arXiv preprint arXiv:2303.16866, 2023 | | 2023 |
Qian ZhaoXi'an Jiaotong UniversityVerified email at xjtu.edu.cn
