| 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 | 442 | 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 | 213 | 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 | 157 | 2017 |
| Balancing between forgetting and acquisition in incremental subpopulation learning M Liang, J Zhou, W Wei, Y Wu European Conference on Computer Vision, 364-380, 2022 | 11 | 2022 |
| Robust online rain removal for surveillance videos with dynamic rains L Yi, Q Zhao, W Wei, Z Xu Knowledge-Based Systems 222, 107006, 2021 | 8 | 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 | 6 | 2021 |
| 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 | 3 | 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 |
| ALUM: Adversarial Data Uncertainty Modeling from Latent Model Uncertainty Compensation W Wei, J Zhou, H Li, Y Wu arXiv preprint arXiv:2303.16866, 2023 | 1 | 2023 |
| 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 |
| Supplementary Material for ICCV 2021 Paper# 6632 FLAR: A Unified Prototype Framework for Few-sample Lifelong Active Recognition L Fan, P Xiong, W Wei, Y Wu | | |
Ying WuProfessor of Electrical and Computer Engineering, Northwestern University在 northwestern.edu 的电子邮件经过验证
