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Ka Chun Cheung

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Motion-I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling

Jan 31, 2024
Xiaoyu Shi, Zhaoyang Huang, Fu-Yun Wang, Weikang Bian, Dasong Li, Yi Zhang, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li

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Resilient Practical Test-Time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bank

Jan 26, 2024
Xingzhi Zhou, Zhiliang Tian, Ka Chun Cheung, Simon See, Nevin L. Zhang

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CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields

Jul 29, 2023
Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan

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TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses

Jun 09, 2023
Xuesong Chen, Shaoshuai Shi, Chao Zhang, Benjin Zhu, Qiang Wang, Ka Chun Cheung, Simon See, Hongsheng Li

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VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation

Mar 17, 2023
Xiaoyu Shi, Zhaoyang Huang, Weikang Bian, Dasong Li, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li

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FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation

Mar 02, 2023
Xiaoyu Shi, Zhaoyang Huang, Dasong Li, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li

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SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition

Nov 16, 2022
Yihang Gao, Ka Chun Cheung, Michael K. Ng

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NeuralMarker: A Framework for Learning General Marker Correspondence

Sep 19, 2022
Zhaoyang Huang, Xiaokun Pan, Weihong Pan, Weikang Bian, Yan Xu, Ka Chun Cheung, Guofeng Zhang, Hongsheng Li

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