no code implementations • 15 Mar 2024 • Nan Gao, Jia Li, Huaibo Huang, Zhi Zeng, Ke Shang, Shuwu Zhang, Ran He
Experimental results demonstrate the superiority of DiffMAC over state-of-the-art methods, with a high degree of generalization in real-world and heterogeneous settings.
no code implementations • 23 Mar 2023 • Nan Gao, Zeyu Zhao, Zhi Zeng, Shuwu Zhang, Dongdong Weng
Gesture synthesis has gained significant attention as a critical research area, focusing on producing contextually appropriate and natural gestures corresponding to speech or textual input.
no code implementations • 23 May 2022 • Zhi Zeng, Ting Wang
In this method, a hierarchical unsupervised neural network is constructed to estimate the marginal distribution function and the Copula function by solving differential equations.
no code implementations • 26 Jan 2022 • Pengpeng Shi, Zhi Zeng, Tianshou Liang
Different from "deep" fully-connected neural networks embedded with physical information (PINN), a novel shallow framework named physics-informed convolutional network (PICN) is recommended from a CNN perspective, in which the physical field is generated by a deconvolution layer and a single convolution layer.
no code implementations • 9 Nov 2021 • Shang Li, GuiXuan Zhang, Zhengxiong Luo, Jie Liu, Zhi Zeng, Shuwu Zhang
In this paper, instead of directly applying the LR guidance, we propose an additional invertible flow guidance module (FGM), which can transform the downscaled representation to the visually plausible image during downscaling and transform it back during upscaling.
no code implementations • 6 Jul 2021 • Shang Li, GuiXuan Zhang, Zhengxiong Luo, Jie Liu, Zhi Zeng, Shuwu Zhang
As a result, most previous methods may suffer a performance drop when the degradations of test images are unknown and various (i. e. the case of blind SR).
no code implementations • 19 Jun 2021 • Zhi Zeng, Pengpeng Shi, Fulei Ma, Peihan Qi
Here, a parallel frequency function-deep neural network (PFF-DNN) is proposed to suppress computational overhead while ensuring fitting accuracy by utilizing fast Fourier analysis of broadband signals and the spectral bias nature of neural networks.
no code implementations • 14 Jan 2021 • Zhi Zeng, YuAn Liu, Weijun Tang, Fangjiong Chen
Edge intelligence requires to fast access distributed data samples generated by edge devices.
Information Theory Information Theory
no code implementations • 27 Oct 2020 • Jingjun Wen, Daowei Dou, Jinfu Zhu, Zhi Zeng, Tao Xue, Jianmin Li, Junli Li, Yinong Liu
This paper describes a FADC Readout system developed for the tap water $\alpha/\beta$ dose monitoring system which is based on EJ444 phoswich scintillation detector and wavelength shifting fiber readout.
Instrumentation and Detectors
no code implementations • 24 Oct 2020 • Wenhan Dai, Zhi Zeng, Daowei Dou, Hao Ma, Jianping Chen, Junli Li, HUI ZHANG
We apply multilayer perceptron (MLP) to analyze the 662 keV full energy peak of Cs-137 in the seawater spectrum.