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Xiaoyu Shi
Xiaoyu Shi
Verified email at link.cuhk.edu.hk - Homepage
Title
Cited by
Cited by
Year
Flowformer: A transformer architecture for optical flow
Z Huang*, X Shi*, C Zhang, Q Wang, KC Cheung, H Qin, J Dai, H Li
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
1732022
Fuseformer: Fusing fine-grained information in transformers for video inpainting
R Liu, H Deng, Y Huang, X Shi, L Lu, W Sun, X Wang, J Dai, H Li
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
1102021
Decoupled spatial-temporal transformer for video inpainting
R Liu, H Deng, Y Huang, X Shi, L Lu, W Sun, X Wang, J Dai, H Li
arXiv preprint arXiv:2104.06637, 2021
462021
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
362023
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
242023
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
232023
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
122023
Blinkflow: A dataset to push the limits of event-based optical flow estimation
Y Li, Z Huang, S Chen, X Shi, H Li, H Bao, Z Cui, G Zhang
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
82023
No attention is needed: Grouped spatial-temporal shift for simple and efficient video restorers
D Li, X Shi, Y Zhang, X Wang, H Qin, H Li
CoRR, abs/2206.10810, 2022
42022
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
32024
Context-tap: Tracking any point demands spatial context features
W Bian, Z Huang, X Shi, Y Dong, Y Li, H Li
arXiv e-prints, arXiv: 2306.02000, 2023
32023
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, ...
arXiv preprint arXiv:2401.15977, 2024
22024
Flowformer: A transformer architecture and its masked cost volume autoencoding for optical flow
Z Huang, X Shi, C Zhang, Q Wang, Y Li, H Qin, J Dai, X Wang, H Li
arXiv preprint arXiv:2306.05442, 2023
22023
Context-PIPs: Persistent Independent Particles Demands Context Features
W Bian, Z Huang, X Shi, Y Dong, Y Li, H Li
Advances in Neural Information Processing Systems 36, 2024
12024
AnimateLCM: Accelerating the Animation of Personalized Diffusion Models and Adapters with Decoupled Consistency Learning
FY Wang, Z Huang, X Shi, W Bian, G Song, Y Liu, H Li
arXiv preprint arXiv:2402.00769, 2024
12024
Be-Your-Outpainter: Mastering Video Outpainting through Input-Specific Adaptation
FY Wang, X Wu, Z Huang, X Shi, D Shen, G Song, Y Liu, H Li
arXiv preprint arXiv:2403.13745, 2024
2024
Context-PIPs: Persistent Independent Particles Demands Spatial Context Features
W Bian, Z Huang, X Shi, Y Dong, Y Li, H Li
arXiv preprint arXiv:2306.02000, 2023
2023
VideoFlow: Supplementary Material
X Shi, Z Huang, W Bian, D Li, M Zhang, KC Cheung, S See, H Qin, J Dai, ...
Supplementary Material–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
FlowFormer: A Transformer Architecture for Optical Flow–Supplementary Materials
Z Huang*, X Shi*, C Zhang, Q Wang, K Chun, HQ Cheung, J Dai, H Li
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Articles 1–20