Search Results for author: Ying-Jun Du

Found 3 papers, 2 papers with code

Learning to Learn Kernels with Variational Random Features

1 code implementation ICML 2020 Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek

We propose meta variational random features (MetaVRF) to learn adaptive kernels for the base-learner, which is developed in a latent variable model by treating the random feature basis as the latent variable.

Few-Shot Learning Variational Inference

Conditional Variational Image Deraining

1 code implementation23 Apr 2020 Ying-Jun Du, Jun Xu, Xian-Tong Zhen, Ming-Ming Cheng, Ling Shao

In this paper, we propose a Conditional Variational Image Deraining (CVID) network for better deraining performance, leveraging the exclusive generative ability of Conditional Variational Auto-Encoder (CVAE) on providing diverse predictions for the rainy image.

Density Estimation Rain Removal

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