| A recognition method for rice plant diseases and pests video detection based on deep convolutional neural network D Li, R Wang, C Xie, L Liu, J Zhang, R Li, F Wang, M Zhou, W Liu Sensors 20 (3), 578, 2020 | 213 | 2020 |
| Effective pan-sharpening by multiscale invertible neural network and heterogeneous task distilling M Zhou, J Huang, X Fu, F Zhao, D Hong IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2022 | 79 | 2022 |
| An effective data augmentation strategy for CNN-based pest localization and recognition in the field R Li, R Wang, J Zhang, C Xie, L Liu, F Wang, H Chen, T Chen, H Hu, X Jia, ... IEEE access 7, 160274-160283, 2019 | 75 | 2019 |
| Agripest: A large-scale domain-specific benchmark dataset for practical agricultural pest detection in the wild R Wang, L Liu, C Xie, P Yang, R Li, M Zhou Sensors 21 (5), 1601, 2021 | 71 | 2021 |
| Mutual information-driven pan-sharpening M Zhou, K Yan, J Huang, Z Yang, X Fu, F Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 69 | 2022 |
| Deep fourier-based exposure correction network with spatial-frequency interaction J Huang, Y Liu, F Zhao, K Yan, J Zhang, Y Huang, M Zhou, Z Xiong European Conference on Computer Vision, 163-180, 2022 | 61 | 2022 |
| 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 | 56 | 2022 |
| Image de-raining via continual learning M Zhou, J Xiao, Y Chang, X Fu, A Liu, J Pan, ZJ Zha Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 53 | 2021 |
| Embedding fourier for ultra-high-definition low-light image enhancement C Li, CL Guo, M Zhou, Z Liang, S Zhou, R Feng, CC Loy arXiv preprint arXiv:2302.11831, 2023 | 52 | 2023 |
| 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 | 52 | 2022 |
| Pan-sharpening with customized transformer and invertible neural network M Zhou, J Huang, Y Fang, X Fu, A Liu Proceedings of the AAAI conference on artificial intelligence 36 (3), 3553-3561, 2022 | 48 | 2022 |
| Memory-augmented deep unfolding network for guided image super-resolution M Zhou, K Yan, J Pan, W Ren, Q Xie, X Cao International Journal of Computer Vision 131 (1), 215-242, 2023 | 38 | 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 | 35 | 2022 |
| Memory-augmented deep conditional unfolding network for pan-sharpening G Yang, M Zhou, K Yan, A Liu, X Fu, F Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 33 | 2022 |
| When pansharpening meets graph convolution network and knowledge distillation K Yan, M Zhou, L Liu, C Xie, D Hong IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 29 | 2022 |
| Learning sample relationship for exposure correction J Huang, F Zhao, M Zhou, J Xiao, N Zheng, K Zheng, Z Xiong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 27 | 2023 |
| 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 | 25 | 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 | 24 | 2023 |
| Unfolding taylor's approximations for image restoration X Fu, Z Xiao, G Yang, A Liu, Z Xiong Advances in Neural Information Processing Systems 34, 18997-19009, 2021 | 24 | 2021 |
| 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 | 23 | 2022 |
