| T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models C Mou, X Wang, L Xie, J Zhang, Z Qi, Y Shan, X Qie arXiv preprint arXiv:2302.08453, 2023 | 115 | 2023 |
| Deep generalized unfolding networks for image restoration C Mou, Q Wang, J Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 91 | 2022 |
| Dynamic attentive graph learning for image restoration C Mou, J Zhang, Z Wu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 56 | 2021 |
| COLA-Net: Collaborative attention network for image restoration C Mou, J Zhang, X Fan, H Liu, R Wang IEEE Transactions on Multimedia 24, 1366-1377, 2021 | 52 | 2021 |
| Dense deep unfolding network with 3D-CNN prior for snapshot compressive imaging Z Wu, J Zhang, C Mou arXiv preprint arXiv:2109.06548, 2021 | 42 | 2021 |
| NTIRE 2021 challenge on quality enhancement of compressed video: Methods and results R Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 37 | 2021 |
| Robust invertible image steganography Y Xu, C Mou, Y Hu, J Xie, J Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 33 | 2022 |
| Metric learning based interactive modulation for real-world super-resolution C Mou, Y Wu, X Wang, C Dong, J Zhang, Y Shan European Conference on Computer Vision, 723-740, 2022 | 19 | 2022 |
| NTIRE 2023 Challenge on 360deg Omnidirectional Image and Video Super-Resolution: Datasets, Methods and Results M Cao, C Mou, F Yu, X Wang, Y Zheng, J Zhang, C Dong, G Li, Y Shan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 16 | 2023 |
| TransCL: Transformer makes strong and flexible compressive learning C Mou, J Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 5236-5251, 2022 | 12 | 2022 |
| Dragondiffusion: Enabling drag-style manipulation on diffusion models C Mou, X Wang, J Song, Y Shan, J Zhang arXiv preprint arXiv:2307.02421, 2023 | 9 | 2023 |
| Graph attention neural network for image restoration C Mou, J Zhang 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 7 | 2021 |
| Optimization-Inspired Cross-Attention Transformer for Compressive Sensing J Song, C Mou, S Wang, S Ma, J Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
| Large-capacity and flexible video steganography via invertible neural network C Mou, Y Xu, J Song, C Zhao, B Ghanem, J Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
| Attention Based Dual Branches Fingertip Detection Network and Virtual Key System C Mou, X Zhang Proceedings of the 28th ACM International Conference on Multimedia, 2159-2165, 2020 | 3 | 2020 |
| Synergic feature attention for image restoration C Mou, J Zhang ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 2 | 2021 |
| Image denoising based on correlation adaptive sparse modeling H Liu, J Zhang, C Mou ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 1 | 2021 |
Jian Zhang（张健）Assistant Professor, Shenzhen Graduate School, Peking UniversityVerified email at pku.edu.cn
