| Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels Y Wang*, H Wang*, Y Shen, J Fei, W Li, G Jin, L Wu, R Zhao, X Le Computer Vision and Pattern Recognition (CVPR), 2022, 2022 | 248 | 2022 |
| Hard Patches Mining for Masked Image Modeling H Wang, K Song, J Fan, Y Wang, J Xie, Z Zhang Computer Vision and Pattern Recognition (CVPR), 2023, 2023 | 23 | 2023 |
| Learning from Future: A Novel Self-Training Framework for Semantic Segmentation Y Du, Y Shen, H Wang, J Fei, W Li, L Wu, R Zhao, Z Fu, Q Liu Neural Information Processing Systems (NeurIPS), 2022, 2022 | 19 | 2022 |
| Balancing Logit Variation for Long-Tailed Semantic Segmentation Y Wang, J Fei, H Wang, W Li, T Bao, L Wu, R Zhao, Y Shen Computer Vision and Pattern Recognition (CVPR), 2023, 2023 | 15 | 2023 |
| DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions H Wang, J Fan, Y Wang, K Song, T Wang, Z Zhang Neural Information Processing Systems (NeurIPS), 2023, 2023 | 5 | 2023 |
| Using unreliable pseudo-labels for label-efficient semantic segmentation H Wang, Y Wang, Y Shen, J Fan, Y Wang, Z Zhang arXiv preprint arXiv:2306.02314, 2023 | 4 | 2023 |
| Pulling target to source: A new perspective on domain adaptive semantic segmentation H Wang, Y Shen, J Fei, W Li, L Wu, Y Wang, Z Zhang arXiv preprint arXiv:2305.13752, 2023 | 4 | 2023 |
| Continual Forgetting for Pre-trained Vision Models H Zhao, B Ni, H Wang, J Fan, F Zhu, Y Wang, Y Chen, G Meng, Z Zhang Computer Vision and Pattern Recognition (CVPR), 2024, 2024 | 1 | 2024 |
| Bootstrap Masked Visual Modeling via Hard Patches Mining H Wang, J Fan, Y Wang, K Song, T Wang, X Zhang, Z Zhang arXiv preprint arXiv:2312.13714, 2023 | 1 | 2023 |
Yujun ShenAnt Group在 link.cuhk.edu.hk 的电子邮件经过验证
