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AnhDung Dinh

Anh-Dung Dinh

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2020 – today

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2024
[i4]
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  - journals/corr/abs-2408-11194
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Anh-Dung Dinh, Daochang Liu, Chang Xu:
Compress Guidance in Conditional Diffusion Sampling. CoRR abs/2408.11194 (2024)
2023
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  - conf/iccv/LiuLDJS023
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Daochang Liu, Qiyue Li, Anh-Dung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu:
Diffusion Action Segmentation. ICCV 2023: 10105-10115
[c3]
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AnhDung Dinh, Daochang Liu, Chang Xu:
PixelAsParam: A Gradient View on Diffusion Sampling with Guidance. ICML 2023: 8120-8137
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  - conf/kdd/WangWD0X23
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Yunke Wang, Xiyu Wang, Anh-Dung Dinh, Bo Du, Charles Xu:
Learning to Schedule in Diffusion Probabilistic Models. KDD 2023: 2478-2488
[c1]
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Anh-Dung Dinh, Daochang Liu, Chang Xu:
Rethinking Conditional Diffusion Sampling with Progressive Guidance. NeurIPS 2023
[i3]
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  - journals/corr/abs-2303-17959
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Daochang Liu, Qiyue Li, AnhDung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu:
Diffusion Action Segmentation. CoRR abs/2303.17959 (2023)
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  - journals/corr/abs-2308-11941
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Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu:
Boosting Diffusion Models with an Adaptive Momentum Sampler. CoRR abs/2308.11941 (2023)
2022
[i1]
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  - journals/corr/abs-2202-02545
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Tianqu Kang, Anh-Dung Dinh, Binghong Wang, Tianyuan Du, Yijia Chen, Kevin Chau:
Optimization of a Real-Time Wavelet-Based Algorithm for Improving Speech Intelligibility. CoRR abs/2202.02545 (2022)

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