Spatiotemporal and motion features are two complementary and crucial information for
video action recognition. Recent state-of-the-art methods adopt a 3D CNN stream to learn …

Structured output support vector machine (SVM) based tracking algorithms have shown
favorable performance recently. Nonetheless, the time-consuming candidate sampling and …

The plant circadian clock is proposed to be a network of several interconnected feedback
loops, and loss of any component leads to changes in oscillator speed. We previously reported …

In recent decades, with the continuous development of high‐throughput sequencing
technology, data volume in medical research has increased, at the same time, almost all clinical …

The canonical approach to video action recognition dictates a neural model to do a classic
and standard 1-of-N majority vote task. They are trained to predict a fixed set of predefined …

The limited fossil fuel supply toward carbon neutrality has driven tremendous efforts to
replace fuel vehicles by electric ones. The recycling of retired power batteries, a core energy …

Background TNBC is the most aggressive breast cancer with higher recurrence and
mortality rate than other types of breast cancer. There is an urgent need for identification of …

Small object detection remains an unsolved challenge because it is hard to extract the
information of small objects with only a few pixels. While scale-level corresponding detection in …

Understanding the molecular mechanism behind protein–polyphenol interactions is critical
for the application of protein–polyphenol compounds in foods. The purpose of this research …

A self-powered, solution-processed perovskite photodetector with sub-nanosecond response
time is presented. Eliminating charge trapping and removing the constraints from the …