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AnhDung Dinh
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2020 – today
- 2024
- [c5]Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu:
Boosting Diffusion Models with an Adaptive Momentum Sampler. IJCAI 2024: 1416-1424 - [i4]Anh-Dung Dinh, Daochang Liu, Chang Xu:
Compress Guidance in Conditional Diffusion Sampling. CoRR abs/2408.11194 (2024) - 2023
- [c4]Daochang Liu, Qiyue Li, Anh-Dung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu:
Diffusion Action Segmentation. ICCV 2023: 10105-10115 - [c3]AnhDung Dinh, Daochang Liu, Chang Xu:
PixelAsParam: A Gradient View on Diffusion Sampling with Guidance. ICML 2023: 8120-8137 - [c2]Yunke Wang
, Xiyu Wang
Learning to Schedule in Diffusion Probabilistic Models. KDD 2023: 2478-2488 - [c1]Anh-Dung Dinh, Daochang Liu, Chang Xu:
Rethinking Conditional Diffusion Sampling with Progressive Guidance. NeurIPS 2023 - [i3]Daochang Liu
Diffusion Action Segmentation. CoRR abs/2303.17959 (2023) - [i2]Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu:
Boosting Diffusion Models with an Adaptive Momentum Sampler. CoRR abs/2308.11941 (2023) - 2022
- [i1]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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