| Frequency and spatial dual guidance for image dehazing H Yu, N Zheng, M Zhou, J Huang, Z Xiao, F Zhao European Conference on Computer Vision, 181-198, 2022 | 108 | 2022 |
| Spatial-frequency domain information integration for pan-sharpening M Zhou, J Huang, K Yan, H Yu, X Fu, A Liu, X Wei, F Zhao European conference on computer vision, 274-291, 2022 | 88 | 2022 |
| Ingredient-oriented multi-degradation learning for image restoration J Zhang, J Huang, M Yao, Z Yang, H Yu, M Zhou, F Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 70 | 2023 |
| Deep fourier up-sampling H Yu, J Huang, F Zhao, J Gu, CC Loy, D Meng, C Li Advances in Neural Information Processing Systems 35, 22995-23008, 2022 | 52 | 2022 |
| Adaptively learning low-high frequency information integration for pan-sharpening M Zhou, J Huang, C Li, H Yu, K Yan, N Zheng, F Zhao Proceedings of the 30th ACM International Conference on Multimedia, 3375-3384, 2022 | 38 | 2022 |
| Source-free domain adaptation for real-world image dehazing H Yu, J Huang, Y Liu, Q Zhu, M Zhou, F Zhao Proceedings of the 30th ACM International Conference on Multimedia, 6645-6654, 2022 | 32 | 2022 |
| Visual recognition-driven image restoration for multiple degradation with intrinsic semantics recovery Z Yang, J Huang, J Chang, M Zhou, H Yu, J Zhang, F Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 21 | 2023 |
| High-quality image dehazing with diffusion model H Yu, J Huang, K Zheng, F Zhao arXiv preprint arXiv:2308.11949, 2023 | 15 | 2023 |
| Efficient Multi-exposure image fusion via filter-dominated fusion and gradient-driven unsupervised learning K Zheng, J Huang, H Yu, F Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 13 | 2023 |
| Deep fractional Fourier transform H Yu, J Huang, L Li, F Zhao Advances in Neural Information Processing Systems 36, 72761-72773, 2023 | 12 | 2023 |
| Uncovering the Text Embedding in Text-to-Image Diffusion Models H Yu, H Luo, F Wang, F Zhao arXiv preprint arXiv:2404.01154, 2024 | 9 | 2024 |
| Debias the training of diffusion models H Yu, L Shen, J Huang, M Zhou, H Li, F Zhao arXiv preprint arXiv:2310.08442, 2023 | 6 | 2023 |
| Freqmamba: Viewing mamba from a frequency perspective for image deraining Z Zou, H Yu, J Huang, F Zhao Proceedings of the 32nd ACM International Conference on Multimedia, 1905-1914, 2024 | 3 | 2024 |
| Unleashing the Potential of the Semantic Latent Space in Diffusion Models for Image Dehazing Z Yang, H Yu, B Li, J Zhang, J Huang, F Zhao European Conference on Computer Vision, 371-389, 2024 | | 2024 |
| Unmasking Bias in Diffusion Model Training H Yu, L Shen, J Huang, H Li, F Zhao European Conference on Computer Vision, 374-390, 2024 | | 2024 |
| DiffLoss: unleashing diffusion model as constraint for training image restoration network J Tan, H Yu, J Huang, Z Yang, F Zhao Proceedings of the Asian Conference on Computer Vision, 1566-1584, 2024 | | 2024 |
| Ratio-Residual Diffusion Model for Image Restoration Z Yang, J Huang, H Yu, M Zhou, B Li, F Zhao | | |
Feng ZhaoProfessor, PhD Supervisor, University of Science and Technology of ChinaDirección de correo verificada de ustc.edu.cn