| Deep retinex decomposition for low-light enhancement C Wei, W Wang, W Yang, J Liu BMVC 2018, 2018 | 1832 | 2018 |
| iBOT: Image BERT Pre-Training with Online Tokenizer J Zhou, C Wei, H Wang, W Shen, C Xie, A Yuille, T Kong International Conference on Learning Representations (ICLR), 2022 | 660 | 2022 |
| Masked feature prediction for self-supervised visual pre-training C Wei, H Fan, S Xie, CY Wu, A Yuille, C Feichtenhofer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 563 | 2022 |
| Gladnet: Low-light enhancement network with global awareness W Wang, C Wei, W Yang, J Liu 2018 13th IEEE international conference on automatic face & gesture …, 2018 | 336 | 2018 |
| CReST: A class-rebalancing self-training framework for imbalanced semi-supervised learning C Wei, K Sohn, C Mellina, A Yuille, F Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 268 | 2021 |
| Iterative reorganization with weak spatial constraints: Solving arbitrary jigsaw puzzles for unsupervised representation learning C Wei, L Xie, X Ren, Y Xia, C Su, J Liu, Q Tian, AL Yuille Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 163* | 2019 |
| CO2: Consistent contrast for unsupervised visual representation learning C Wei, H Wang, W Shen, A Yuille International Conference on Learning Representations (ICLR), 2021 | 64 | 2021 |
| Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles C Ryali, YT Hu, D Bolya, C Wei, H Fan, PY Huang, V Aggarwal, ... ICML, 2023 | 43 | 2023 |
| CP: Copy-Paste Contrastive Pretraining for Semantic Segmentation F Wang, H Wang, C Wei, A Yuille, W Shen European Conference on Computer Vision, 499-515, 2022 | 29 | 2022 |
| Diffusion Models as Masked Autoencoders C Wei, K Mangalam, PY Huang, Y Li, H Fan, H Xu, H Wang, C Xie, ... ICCV, 2023 | 28 | 2023 |
| Masked autoencoders enable efficient knowledge distillers Y Bai, Z Wang, J Xiao, C Wei, H Wang, AL Yuille, Y Zhou, C Xie Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 28 | 2023 |
| Unleashing the power of visual prompting at the pixel level J Wu, X Li, C Wei, H Wang, A Yuille, Y Zhou, C Xie arXiv preprint arXiv:2212.10556, 2022 | 19 | 2022 |
| Smaug: Sparse masked autoencoder for efficient video-language pre-training Y Lin, C Wei, H Wang, A Yuille, C Xie Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10 | 2023 |
| Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning B Zhao, H Tu, C Wei, J Mei, C Xie ICLR 2024, 2023 | 7 | 2023 |
| Sight beyond text: Multi-modal training enhances llms in truthfulness and ethics H Tu, B Zhao, C Wei, C Xie arXiv preprint arXiv:2309.07120, 2023 | 6 | 2023 |
| Towards generalizable tumor synthesis Q Chen, X Chen, H Song, Z Xiong, A Yuille, C Wei, Z Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
| De-Diffusion Makes Text a Strong Cross-Modal Interface C Wei, C Liu, S Qiao, Z Zhang, A Yuille, J Yu arXiv preprint arXiv:2311.00618, 2023 | 2 | 2023 |
| Instruct2Attack: Language-Guided Semantic Adversarial Attacks J Liu, C Wei, Y Guo, H Yu, A Yuille, S Feizi, CP Lau, R Chellappa arXiv preprint arXiv:2311.15551, 2023 | 1 | 2023 |
| In Defense of Image Pre-Training for Spatiotemporal Recognition X Li, H Wang, C Wei, J Mei, A Yuille, Y Zhou, C Xie European Conference on Computer Vision, 675-691, 2022 | 1 | 2022 |
| ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning S Ren, H Zhu, C Wei, Y Li, A Yuille, C Xie arXiv preprint arXiv:2405.15160, 2024 | | 2024 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins University在 jhu.edu 的电子邮件经过验证
