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
195 2022 Understanding top-k sparsification in distributed deep learning S Shi, X Chu, KC Cheung, S See
arXiv preprint arXiv:1911.08772, 2019
79 2019 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
59 2022 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
44 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
40 2022 -Convergence of Least-Squares Kernel Collocation MethodsKC Cheung, L Ling, R Schaback
SIAM Journal on Numerical Analysis 56 (1), 614-633, 2018
38 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
37 2018 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
29 2021 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
27 2023 Self-attention-based fully-inception networks for continuous sign language recognition M Zhou, M Ng, Z Cai, KC Cheung
ECAI 2020, 2832-2839, 2020
21 2020 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
18 2023 A localized meshless method for diffusion on folded surfaces KC Cheung, L Ling, SJ Ruuth
Journal of Computational Physics 297, 194-206, 2015
18 2015 Neuralmarker: A framework for learning general marker correspondence Z Huang, X Pan, W Pan, W Bian, Y Xu, KC Cheung, G Zhang, H Li
ACM Transactions on Graphics (TOG) 41 (6), 1-10, 2022
9 2022 Recent advance in machine learning for partial differential equation KC Cheung, S See
CCF Transactions on High Performance Computing, 2021
9 2021 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
7 2023 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
7 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, ...
arXiv preprint arXiv:2401.15977, 2024
6 2024 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
6 2022 Adaptive label smoothing with self-knowledge in natural language generation D Lee, KC Cheung, NL Zhang
arXiv preprint arXiv:2210.13459, 2022
6 2022 Convergence studies for an adaptive meshless least-squares collocation method KC Cheung, L Ling
International Journal of Computational Methods and Experimental Measurements …, 2017
6 2017