no code implementations • 1 Jan 2021 • Xiong-Hui Chen, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Yiping Meng, Jieping Ye
Instead of increasing the fidelity of models for policy learning, we handle the distortion issue via learning to adapt to diverse simulators generated by the offline dataset.
no code implementations • 17 Mar 2020 • Luanxuan Hou, Jie Cao, Yuan Zhao, Haifeng Shen, Yiping Meng, Ran He, Jieping Ye
At last, we proposed a differentiable auto data augmentation method to further improve estimation accuracy.
no code implementations • 12 Jul 2019 • Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei Qin, Yiping Meng, Jieping Ye
DEMER also derives a recommendation policy with a significantly improved performance in the test phase of the real application.
no code implementations • 20 Nov 2018 • Wanxin Tian, Zixuan Wang, Haifeng Shen, Weihong Deng, Yiping Meng, Binghui Chen, Xiubao Zhang, Yuan Zhao, Xiehe Huang
We assume that problems inside are inadequate use of supervision information and imbalance between semantics and details at all level feature maps in CNN even with Feature Pyramid Networks (FPN).
no code implementations • 12 Feb 2018 • Fan Tang, Wei-Ming Dong, Yiping Meng, Chongyang Ma, Fuzhang Wu, Xinrui Li, Tong-Yee Lee
In this work, we introduce the notion of image retargetability to describe how well a particular image can be handled by content-aware image retargeting.