| Improving depth gradient continuity in transformers: A comparative study on monocular depth estimation with cnn J Yao, T Wu, X Zhang BMVC 2024, 2023 | 94 | 2023 |
| Building Lane-Level Maps from Aerial Images J Yao, X Pan, T Wu, X Zhang International Conference on Acoustics, Speech and Signal Processing(ICASSP 2024), 2024 | 53 | 2024 |
| SpA-Former: An Effective and lightweight Transformer for image shadow removal XF Zhang, Y Zhao, CC Gu, C Lu, SY Zhu IJCNN2023 oral，code:https://github.com/zhangbaijin/SpA-Former-shadow-removal, 2023 | 46* | 2023 |
| Sienet: Siamese expansion network for image extrapolation X Zhang, F Chen, C Wang, M Tao, GP Jiang IEEE Signal Processing Letters, code:https://github.com/nanjingxiaobawang …, 2020 | 44 | 2020 |
| UIR-Net: A Simple and Effective Baseline for Underwater Image Restoration and Enhancement X Mei, X Ye, X Zhang, Y Liu, J Wang, J Hou, X Wang Remote Sensing, 2022, Code:https://github.com/meixinkui/UIR-Net, 2022 | 22 | 2022 |
| AFFNet: attention mechanism network based on fusion feature for image cloud removal R Shen, X Zhang, Y Xiang International Journal of Pattern Recognition and Artificial Intelligence 36 …, 2022 | 18 | 2022 |
| A Semantics-Geometry Framework for Road Extraction from Remote Sensing Images L Qiu, D Yu, C Zhang, X Zhang IEEE Geoscience and Remote Sensing Letters, code:https://github.com/qiuluyi …, 2023 | 15 | 2023 |
| PCNet: partial convolution attention mechanism for image inpainting S Yan, X Zhang International Journal of Computers and Applications 44 (8), 738-745, 2021 | 15 | 2021 |
| Enlighten-anything: When Segment Anything Model Meets Low-light Image Enhancement X Zhang, Q Zhao, H Tang, C Gu, S Zhu arXiv:2306.10286，code:https://github.com/zhangbaijin/enlighten-anything, 2023 | 14 | 2023 |
| MuralDiff:Diffusion for Ancient Murals restoration on Large-scale Pre-training Z Xu, X Zhang, W Chen, J Liu, T Xu, Z Wang IEEE Transactions on Emerging Topics in Computational Intelligence, 2024 | 13 | 2024 |
| A review of image inpainting methods based on deep learning Z Xu, X Zhang, W Chen, M Yao, J Liu, T Xu, Z Wang Applied Sciences 13 (20), 11189, 2023 | 13 | 2023 |
| A Local–Global Framework for Semantic Segmentation of Multisource Remote Sensing Images L Qiu, D Yu, C Zhang, X Zhang Remote Sensing,Code:https://github.com/qiuluyi/Remote-sensing, 2022 | 12 | 2022 |
| Image extrapolation based on multi-column convolutional attention network X Zhang, S Wu, H Ding, Z Li 2020 IEEE 4th Information Technology, Networking, Electronic and Automation …, 2020 | 11 | 2020 |
| RGAN: Rethinking generative adversarial networks for cloud removal X Ran, L Ge, X Zhang International Journal of Intelligent Systems 36 (11), 6731-6747, 2021 | 10 | 2021 |
| SAM-helps-Shadow: When Segment Anything Model meet shadow removal X Zhang, C Gu, S Zhu arXiv: 2306.06113, code:https://github.com/zhangbaijin/SAM-helps-Shadow, 2023 | 8 | 2023 |
| Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement J Bai, Y Yin, Q He, Y Li, X Zhang ICONIP 2024. Code:https://github.com/YhuoyuH/RetinexMamba, 2024 | 7 | 2024 |
| Causal-story: Local causal attention utilizing parameter-efficient tuning for visual story synthesis T Song, J Cao, K Wang, B Liu, X Zhang International Conference on Acoustics, Speech and Signal Processing(ICASSP 2024), 2024 | 4 | 2024 |
| Dcfgan: Dynamic convolutional fusion generative adversarial network for text-to-image synthesis M Tao, S Wu, X Zhang, C Wang 2020 IEEE International Conference on Information Technology, Big Data and …, 2020 | 4 | 2020 |
| From Redundancy to Relevance: Enhancing Explainability in Multimodal Large Language Models X Zhang, C Shen, X Yuan, S Yan, L Xie, W Wang, C Gu, H Tang, J Ye arXiv preprint arXiv:2406.06579, 2024 | 3 | 2024 |
| Efficient Remote Sensing Segmentation With Generative Adversarial Transformer L Qiu, D Yu, X Zhang, C Zhang IEEE Geoscience and Remote Sensing Letters, 2023 | 3 | 2023 |
Chaochen Gu上海交通大学自动化系研究员在 sjtu.edu.cn 的电子邮件经过验证
