| Flowformer++: Masked cost volume autoencoding for pretraining optical flow estimation X Shi, Z Huang, D Li, M Zhang, KC Cheung, S See, H Qin, J Dai, H Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 101 | 2023 |
| Videoflow: Exploiting temporal cues for multi-frame optical flow estimation X Shi, Z Huang, W Bian, D Li, M Zhang, KC Cheung, S See, H Qin, J Dai, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 78 | 2023 |
| Idr: Self-supervised image denoising via iterative data refinement Y Zhang, D Li, KL Law, X Wang, H Qin, H Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 74 | 2022 |
| Learning degradation representations for image deblurring D Li, Y Zhang, KC Cheung, X Wang, H Qin, H Li European conference on computer vision, 736-753, 2022 | 72 | 2022 |
| Kbnet: Kernel basis network for image restoration Y Zhang, D Li, X Shi, D He, K Song, X Wang, H Qin, H Li arXiv preprint arXiv:2303.02881, 2023 | 61 | 2023 |
| Motion-i2v: Consistent and controllable image-to-video generation with explicit motion modeling X Shi, Z Huang, FY Wang, W Bian, D Li, Y Zhang, M Zhang, KC Cheung, ... ACM SIGGRAPH 2024 Conference Papers, 1-11, 2024 | 60 | 2024 |
| A simple baseline for video restoration with grouped spatial-temporal shift D Li, X Shi, Y Zhang, KC Cheung, S See, X Wang, H Qin, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 60 | 2023 |
| A unified conditional framework for diffusion-based image restoration Y Zhang, X Shi, D Li, X Wang, J Wang, H Li Advances in Neural Information Processing Systems 36, 2024 | 15 | 2024 |
| Efficient burst raw denoising with variance stabilization and multi-frequency denoising network D Li, Y Zhang, KL Law, X Wang, H Qin, H Li International Journal of Computer Vision 130 (8), 2060-2080, 2022 | 13 | 2022 |
| Delving Deep into Engagement Prediction of Short Videos D Li, W Li, B Lu, H Li, S Ma, G Krishnan, J Wang European Conference on Computer Vision, 289-306, 2024 | | 2024 |
Xiaoyu ShiMMLab, The Chinese University of Hong Kong確認したメール アドレス: link.cuhk.edu.hk