1 code implementation • 14 Jan 2022 • Nishan Khatri, Agnibh Dasgupta, Yucong Shen, Xin Zhong, Frank Y. Shih
Incorporating geometric transformations that reflect the relative position changes between an observer and an object into computer vision and deep learning models has attracted much attention in recent years.
no code implementations • 23 Jul 2021 • Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang
In this paper we propose a new method, called TSInet, to reconstruct total solar irradiance by deep learning for short and long periods of time that span beyond the physical models' data availability.
no code implementations • 21 May 2020 • Yucong Shen, Li Shen, Hao-Zhi Huang, Xuan Wang, Wei Liu
Recent advances in deep neural networks (DNNs) lead to tremendously growing network parameters, making the deployments of DNNs on platforms with limited resources extremely difficult.
no code implementations • 4 Sep 2019 • Yucong Shen, Xin Zhong, Frank Y. Shih
With a known target, a single-filter morphological layer learns the structuring element correctly, and an adaptive layer can automatically select appropriate morphological operations.