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2020 – today
- 2024
[c12]Yuhao Liu
, Zhanghan Ke, Ke Xu, Fang Liu, Zhenwei Wang, Rynson W. H. Lau:
Recasting Regional Lighting for Shadow Removal. AAAI 2024: 3810-3818- [c11]Yuhao Liu, Zhanghan Ke, Fang Liu, Nanxuan Zhao, Rynson W. H. Lau:
Diff-Plugin: Revitalizing Details for Diffusion-Based Low-Level Tasks. CVPR 2024: 4197-4208 - [i12]Yuhao Liu, Zhanghan Ke, Ke Xu, Fang Liu, Zhenwei Wang, Rynson W. H. Lau:
Recasting Regional Lighting for Shadow Removal. CoRR abs/2402.00341 (2024) - [i11]Yuhao Liu, Fang Liu, Zhanghan Ke, Nanxuan Zhao, Rynson W. H. Lau:
Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Tasks. CoRR abs/2403.00644 (2024) - 2023
- [j1]Yuhao Liu, Qing Guo, Lan Fu, Zhanghan Ke, Ke Xu, Wei Feng, Ivor W. Tsang, Rynson W. H. Lau:
Structure-Informed Shadow Removal Networks. IEEE Trans. Image Process. 32: 5823-5836 (2023) - [c10]Zaiquan Yang, Zhanghan Ke, Gerhard P. Hancke, Rynson W. H. Lau:
Cross-domain Semantic Decoupling for Weakly-Supervised Semantic Segmentation. BMVC 2023: 351-352 - [c9]Lei Zhu, Xinjiang Wang, Zhanghan Ke, Wayne Zhang, Rynson W. H. Lau:
BiFormer: Vision Transformer with Bi-Level Routing Attention. CVPR 2023: 10323-10333 - [c8]Zhanghan Ke, Yuhao Liu, Lei Zhu, Nanxuan Zhao, Rynson W. H. Lau:
Neural Preset for Color Style Transfer. CVPR 2023: 14173-14182 - [i10]Yuhao Liu, Qing Guo, Lan Fu, Zhanghan Ke, Ke Xu, Wei Feng, Ivor W. Tsang, Rynson W. H. Lau:
Structure-Informed Shadow Removal Networks. CoRR abs/2301.03182 (2023) - [i9]Lei Zhu, Xinjiang Wang, Zhanghan Ke, Wayne Zhang, Rynson W. H. Lau:
BiFormer: Vision Transformer with Bi-Level Routing Attention. CoRR abs/2303.08810 (2023) - [i8]Zhanghan Ke, Yuhao Liu, Lei Zhu, Nanxuan Zhao, Rynson W. H. Lau:
Neural Preset for Color Style Transfer. CoRR abs/2303.13511 (2023) - [i7]Lei Zhu, Zhanghan Ke, Rynson W. H. Lau:
Towards Self-Adaptive Pseudo-Label Filtering for Semi-Supervised Learning. CoRR abs/2309.09774 (2023) - 2022
- [c7]Zhanghan Ke, Jiayu Sun, Kaican Li, Qiong Yan, Rynson W. H. Lau:
MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition. AAAI 2022: 1140-1147 - [c6]Jiayu Sun, Zhanghan Ke, Ke Xu, Fan Shao, Lihe Zhang, Huchuan Lu, Rynson W. H. Lau:
Semantics-Adding Flaw-Erasing Network for Semantic Human Matting. BMVC 2022: 592 - [c5]Zhanghan Ke, Chunyi Sun, Lei Zhu, Ke Xu, Rynson W. H. Lau:
Harmonizer: Learning to Perform White-Box Image and Video Harmonization. ECCV (15) 2022: 690-706 - [i6]Zhanghan Ke, Chunyi Sun, Lei Zhu, Ke Xu, Rynson W. H. Lau:
Harmonizer: Learning to Perform White-Box Image and Video Harmonization. CoRR abs/2207.01322 (2022) - 2021
- [c4]Lei Zhu, Ke Xu, Zhanghan Ke, Rynson W. H. Lau:
Mitigating Intensity Bias in Shadow Detection via Feature Decomposition and Reweighting. ICCV 2021: 4682-4691 - [i5]Jiayu Sun, Zhanghan Ke, Lihe Zhang, Huchuan Lu, Rynson W. H. Lau:
MODNet-V: Improving Portrait Video Matting via Background Restoration. CoRR abs/2109.11818 (2021) - 2020
- [c3]Di Qiu, Jin Zeng, Zhanghan Ke, Wenxiu Sun, Chengxi Yang:
Towards Geometry Guided Neural Relighting with Flash Photography. 3DV 2020: 1137-1146 - [c2]Zhanghan Ke, Di Qiu, Kaican Li, Qiong Yan, Rynson W. H. Lau:
Guided Collaborative Training for Pixel-Wise Semi-Supervised Learning. ECCV (13) 2020: 429-445 - [i4]Di Qiu, Jin Zeng, Zhanghan Ke, Wenxiu Sun, Chengxi Yang:
Towards Geometry Guided Neural Relighting with Flash Photography. CoRR abs/2008.05157 (2020) - [i3]Zhanghan Ke, Di Qiu, Kaican Li, Qiong Yan, Rynson W. H. Lau:
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning. CoRR abs/2008.05258 (2020) - [i2]Zhanghan Ke, Kaican Li, Yurou Zhou, Qiuhua Wu, Xiangyu Mao, Qiong Yan, Rynson W. H. Lau:
Is a Green Screen Really Necessary for Real-Time Portrait Matting? CoRR abs/2011.11961 (2020)
2010 – 2019
- 2019
- [c1]Zhanghan Ke, Daoye Wang, Qiong Yan, Jimmy S. J. Ren, Rynson W. H. Lau:
Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning. ICCV 2019: 6727-6735 - [i1]Zhanghan Ke, Daoye Wang, Qiong Yan, Jimmy S. J. Ren, Rynson W. H. Lau:
Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning. CoRR abs/1909.01804 (2019)
Coauthor Index
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