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 Methods KC 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 |