Flowformer: A transformer architecture for optical flow Z Huang, X Shi, C Zhang, Q Wang, KC Cheung, H Qin, J Dai, H Li
European conference on computer vision, 668-685, 2022
336 2022 Understanding top-k sparsification in distributed deep learning S Shi, X Chu, KC Cheung, S See
arXiv preprint arXiv:1911.08772, 2019
112 2019 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
104 2023 Mppnet: Multi-frame feature intertwining with proxy points for 3d temporal object detection X Chen, S Shi, B Zhu, KC Cheung, H Xu, H Li
European Conference on Computer Vision, 680-697, 2022
93 2022 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
84 2023 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 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
61 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
54 2023 KC Cheung, L Ling, R Schaback
SIAM Journal on Numerical Analysis 56 (1), 614-633, 2018
46 2018 A kernel-based embedding method and convergence analysis for surfaces PDEs KC Cheung, L Ling
SIAM Journal on Scientific Computing 40 (1), A266-A287, 2018
43 2018 Copyrnerf: Protecting the copyright of neural radiance fields Z Luo, Q Guo, KC Cheung, S See, R Wan
Proceedings of the IEEE/CVF international conference on computer vision …, 2023
38 2023 Self-distillation with batch knowledge ensembling improves imagenet classification Y Ge, X Zhang, CL Choi, KC Cheung, P Zhao, F Zhu, X Wang, R Zhao, ...
arXiv preprint arXiv:2104.13298, 2021
38 2021 Self-attention-based fully-inception networks for continuous sign language recognition M Zhou, M Ng, Z Cai, KC Cheung
ECAI 2020, 2832-2839, 2020
22 2020 A localized meshless method for diffusion on folded surfaces KC Cheung, L Ling, SJ Ruuth
Journal of Computational Physics 297, 194-206, 2015
22 2015 Attributed abnormality graph embedding for clinically accurate x-ray report generation S Yan, WK Cheung, K Chiu, TM Tong, KC Cheung, S See
IEEE Transactions on Medical Imaging 42 (8), 2211-2222, 2023
16 2023 Svd-pinns: Transfer learning of physics-informed neural networks via singular value decomposition Y Gao, KC Cheung, MK Ng
2022 IEEE Symposium Series on Computational Intelligence (SSCI), 1443-1450, 2022
14 2022 A kernel-based least-squares collocation method for surface diffusion M Chen, KC Cheung, L Ling
SIAM Journal on Numerical Analysis 61 (3), 1386-1404, 2023
13 2023 Trajectoryformer: 3d object tracking transformer with predictive trajectory hypotheses X Chen, S Shi, C Zhang, B Zhu, Q Wang, KC Cheung, S See, H Li
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
13 2023 Recent advance in machine learning for partial differential equation KC Cheung, S See
CCF Transactions on High Performance Computing, 2021
12 2021 Nas-lid: Efficient neural architecture search with local intrinsic dimension X He, J Yao, Y Wang, Z Tang, KC Cheung, S See, B Han, X Chu
Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7839-7847, 2023
11 2023 
Leevan LingHong Kong Baptist UniversityOverená e-mailová adresa na: hkbu.edu.hk