Guangming Shi

TL;DR: In this paper, a low specific absorption rate (SAR) mobile phone antenna was designed to decrease the electric field radiated by the antenna at the air-tissue interface and reduce the SAR of human tissues.

TL;DR: This paper proposes to model the sparse component with a Gaussian scale mixture (GSM) model, which has the advantages of jointly estimating the variances of the sparse coefficients (and hence the regularization parameters) and the unknown sparse coefficients, leading to significant estimation accuracy improvements for background subtraction.

TL;DR: A simultaneous spectral sparse (3S) model is proposed to reinforce the structural similarity across different bands and develop an efficient computational reconstruction algorithm to recover the HSHS video.

TL;DR: The proposed Skeleton-Guided Multimodal Network (SGM-Net) takes full use of the complementarity of RGB and skeleton modalities at semantic feature level, and achieves state-of-the-art performance over the existing methods on NTU and Sub-JHMDB datasets.

TL;DR: To take the fitting errors into account as well as the fitting parameters for feature extraction, and propose a novel NR IQA algorithm, the statistical distributions of the distorted images are discussed in detail.