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Detailed Region-Adaptive Normalization for Heavy Makeup Transfer


Sep 30, 2021
Yueming Lyu, Peibin Chen, Jingna Sun, Xu Wang, Jing Dong, Tieniu Tan

* Code is available at https://github.com/Yueming6568/MDMGAN 

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Neural Optimization Kernel: Towards Robust Deep Learning


Jun 23, 2021
Yueming Lyu, Ivor Tsang

* Deep Learning, Kernel Methods, Deep Learning Theory, Kernel Approximation, Integral Approximation 

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SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer


Apr 21, 2021
Yueming Lyu, Jing Dong, Bo Peng, Wei Wang, Tieniu Tan

* 9 pages, 11 figures, 1 table 

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Subgroup-based Rank-1 Lattice Quasi-Monte Carlo


Oct 29, 2020
Yueming Lyu, Yuan Yuan, Ivor W. Tsang

* NeurIPS 2020 

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Intrinsic Reward Driven Imitation Learning via Generative Model


Jul 09, 2020
Xingrui Yu, Yueming Lyu, Ivor W. Tsang


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Stochastic Implicit Natural Gradient for Black-box Optimization


Oct 09, 2019
Yueming Lyu, Ivor W. Tsang

* Black-box Optimization 

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Curriculum Loss: Robust Learning and Generalization against Label Corruption


May 28, 2019
Yueming Lyu, Ivor W. Tsang


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Efficient Batch Black-box Optimization with Deterministic Regret Bounds


May 24, 2019
Yueming Lyu, Yuan Yuan, Ivor W. Tsang


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