Sparse representation has been applied to visual tracking by finding the best candidate with
minimal reconstruction error using target templates. However most sparse representation …

MicroRNAs (miRNAs) are small non-coding RNAs (typically consisting of 18–25 nucleotides)
that negatively control expression of target genes at the post-transcriptional level. Owing to …

This paper proposes the novel Pose Guided Person Generation Network (PG $^ 2$) that
allows to synthesize person images in arbitrary poses, based on an image of that person and a …

Based on the coupling relationship among radial velocity, range walk, and Doppler frequency
of the moving target's echoes, a novel method is proposed, ie, Radon-Fourier transform (…

We present an approach to accelerating a wide variety of image processing operators. Our
approach uses a fully-convolutional network that is trained on input-output pairs that …

In a traditional convolutional layer, the learned filters stay fixed after training. In contrast, we
introduce a new framework, the Dynamic Filter Network, where filters are generated …

Artificial neural networks thrive in solving the classification problem for a particular rigid task,
acquiring knowledge through generalized learning behaviour from a distinct training phase. …

The outbreak of the novel SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2)
responsible for coronavirus disease 2019 (COVID-19) has developed into an unprecedented …

Imaging in low light is challenging due to low photon count and low SNR. Short-exposure
images suffer from noise, while long exposure can lead to blurry images and is often …

The triglyceride-glucose (TyG) index has been identified as a reliable alternative biomarker
of insulin resistance (IR). Recently, a considerable number of studies have provided robust …