Low-resolution face recognition (LRFR) has received increasing attention over the past few
years. Its applications lie widely in the real-world environment when high-resolution or high …

Although face recognition systems have achieved impressive performance in recent years,
the low-resolution face recognition task remains challenging, especially when the low …

Images from the surveillance networks are being extensively used for the purpose of
monitoring and criminal investigations. However, it is often difficult to recognize faces using …

Non-maximum suppression (NMS) plays a key role in many modern object detectors. It is
responsible to remove detection boxes that cover the same object. NMS greedily selects the …

Although unconstrained face recognition has been widely studied over the recent years,
state-of-the-art algorithms still result in an unsatisfactory performance for low-quality images …

Low-resolution face recognition suffers from domain shift due to the different resolution
between a high-resolution gallery and a low-resolution probe set. Conventional methods …

Abstract In the Clothes-Changing Re-Identification (CC-ReID) problem, given a query
sample of a person, the goal is to determine the correct identity based on a labeled gallery in …

传统身份识别技术需要将待识别人员信息预先录入, 同时未考虑识别过程中的遮挡问题,
不能满足公共场所基于监控视频的再识别需求. 现有行人再识别算法多依赖于服饰等外观特征 …

In a networked video surveillance system, the videos collected from different surveillance
cameras are stored in a centralized server. These videos can be made available for scrutiny …

Object recognition on images is very often used in modern life. Many factors greatly affect
the accuracy of detection and recognition. Belonging to a particular gender or race is one of …