| Sparse self-attention transformer for image inpainting W Huang, Y Deng, S Hui, Y Wu, S Zhou, J Wang Pattern Recognition 145, 109897, 2024 | 21 | 2024 |
| T-former: An efficient transformer for image inpainting Y Deng, S Hui, S Zhou, D Meng, J Wang Proceedings of the 30th ACM International Conference on Multimedia, 6559-6568, 2022 | 21 | 2022 |
| Learning contextual transformer network for image inpainting Y Deng, S Hui, S Zhou, D Meng, J Wang Proceedings of the 29th ACM international conference on multimedia, 2529-2538, 2021 | 16 | 2021 |
| Hourglass attention network for image inpainting Y Deng, S Hui, R Meng, S Zhou, J Wang European conference on computer vision, 483-501, 2022 | 10 | 2022 |
| Inverse adversarial diversity learning for network ensemble S Zhou, J Wang, L Wang, X Wan, S Hui, N Zheng IEEE Transactions on Neural Networks and Learning Systems, 2023 | 6 | 2023 |
| Image Inpainting with Bilateral Convolution W Huang, Y Deng, S Hui, J Wang Remote Sensing 14 (23), 6140, 2022 | 4 | 2022 |
| Adaptive-Attention Completing Network for Remote Sensing Image W Huang, Y Deng, S Hui, J Wang Remote Sensing 15 (5), 1321, 2023 | 3 | 2023 |
| Context Adaptive Network for Image Inpainting Y Deng, S Hui, S Zhou, W Huang, J Wang IEEE Transactions on Image Processing, 2023 | 2 | 2023 |
| Multi-Reception and Multi-Gradient Discriminator for Image Inpainting W Huang, Y Deng, S Hui, J Wang IEEE Access 10, 131579-131591, 2022 | 1 | 2022 |
| Auxiliary loss adaption for image inpainting S Hui, S Zhou, X Wan, J Wang, Y Deng, Y Wu, Z Gong, J Wang arXiv preprint arXiv 2111, 2021 | 1 | 2021 |
| Auxiliary loss reweighting for image inpainting S Hui, S Zhou, Y Deng, W Huang, J Wang arXiv preprint arXiv:2111.07279, 2021 | 1 | 2021 |
| Understanding the Overfitting of the Episodic Meta-training S Hui, S Zhou, J Wang arXiv preprint arXiv:2306.16873, 2023 | | 2023 |
| Meta Channel Masking for Cross-Domain Few-Shot Learning S Hui, S Zhou, Y Deng, P Li, J Wang Available at SSRN 4868540, 0 | | |
| Learning from Generalizable Teachers for Few-Shot Classification S Hui, Y Deng, S Zhou, W Huang, Y Wu, J Wang Available at SSRN 4583221, 0 | | |
