In recent years, there has been a growing interest in synthetic data for several computer
vision applications, such as automotive, detection and tracking, surveillance, medical image …

Person re-identification plays a significant role in realistic scenarios due to its various
applications in public security and video surveillance. Recently, leveraging the supervised …

As a fundamental problem in video surveillance, person re-identification (re-ID) contributes a
lot to the development of modern metro city. Recently, learning from synthetic data on re-ID …

In recent years, image and video surveillance have made considerable progresses to the
Intelligent Transportation Systems (ITS) with the help of deep Convolutional Neural …

Person re-identification (ReID) plays an important role in applications such as public security
and video surveillance. Recently, learning from synthetic data, which benefits from the …

The detection of critical heat flux (CHF) is crucial in heat boiling applications as failure to do
so can cause rapid temperature ramp leading to device failures. Many machine learning …

Employing clustering strategy to assign unlabeled target images with pseudo labels has
become a trend for person re-identification (re-ID) algorithms in domain adaptation. A …

Medical image analysis techniques have been employed in diagnosing and screening
clinical diseases. However, both poor medical image quality and illumination style …

Unsupervised person re-identification (Re-ID) has better scalability and practicability than
supervised Re-ID in the actual deployment. However, it is difficult to learn a discriminative …

This article aims to use graphic engines to simulate a large number of training data that have
free annotations and possibly strongly resemble to real-world data. Between synthetic and …