Guangming Shi

TL;DR: Investigating the alterations in baseline brain activity in patients with pED, as indexed by the amplitude of low-frequency (0.01–0.08 Hz) fluctuation (ALFF) may shed light on the neural pathology underlying pED.

TL;DR: This paper proposes a multi-level feature fusion method for introducing contextual information in SSD, in order to improve the accuracy for small objects and designs two feature fusion modules, concatenation module and element-sum module, different in the way of adding contextual information.

TL;DR: Two nominal DOA estimation methods of multiple distributed sources for nested array based on difference co-array concept and an efficient method based on annihilating filter (AF) that exploit the annihilating property are proposed.

TL;DR: A novel robust tensor approximation (RTA) framework with the Laplacian Scale Mixture (LSM) modeling for three-dimensional data and beyond is proposed and Experimental results on three datasets have shown that the proposed algorithm can better preserve the sharpness of important image structures and outperform several existing state-of-the-art image/video denoising methods.

TL;DR: The proposed scheme can further exploit correlation between the current block and more possible references and shows improvement about 0.45dB PSNR increase or 9.3% bit saving on average, which leads to 1dB's gain or 19.5% bitsaving compared to the state-of-the-art scheme without using template matching.