As the computing power of modern hardware is increasing strongly, pre-trained deep
learning models (eg, BERT, GPT-3) learned on large-scale datasets have shown their …

With the rapid development of computing technology, wearable devices make it easy to get
access to people's health information. Smart healthcare achieves great success by training …

Although the performance of person Re-Identification (ReID) has been significantly boosted,
many challenging issues in real scenarios have not been fully investigated, eg, the complex …

In this paper, we describe the acquisition and contents of a large-scale Chinese face
database: the CAS-PEAL face database. The goals of creating the CAS-PEAL face database …

Purpose This study compared miRNA expression patterns in primary squamous cell lung
carcinoma specimens with those of matched normal lung tissue in order to determine their …

For years, researchers in face recognition area have been representing and recognizing
faces based on subspace discriminant analysis or statistical learning. Nevertheless, these …

Inspired by Weber's Law, this paper proposes a simple, yet very powerful and robust local
descriptor, called the Weber Local Descriptor (WLD). It is based on the fact that human …

AI alignment aims to make AI systems behave in line with human intentions and values. As
AI systems grow more capable, so do risks from misalignment. To provide a comprehensive …

Feature extraction and matching are two crucial components in person Re-Identification (ReID).
The large pose deformations and the complex view variations exhibited by the captured …

The electrochemical nitrogen reduction reaction (ENRR) can allow the production of
ammonia from nitrogen and water under ambient conditions and is regarded as a sustainable …