Video object detection, a basic task in the computer vision field, is rapidly evolving and
widely used. In recent years, deep learning methods have rapidly become widespread in the …

Abstract Person Re-Identification (Re-ID) is a critical aspect of visual surveillance systems,
which aims to automatically recognize and locate individuals across a multi-camera network …

Comparing the appearance of corresponding body parts is essential for person re-
identification. As body parts are frequently misaligned between the detected human boxes …

In this paper, we address the problem of person re-identification, which refers to associating
the persons captured from different cameras. We propose a simple yet effective human part …

Person re-identification (re-ID) has been a popular topic in computer vision and pattern
recognition communities for a decade. Several important milestones such as metric-based …

Variations in visual factors such as viewpoint, pose, illumination and background, are
usually viewed as important challenges in person re-identification (re-ID). In spite of …

We address the person re-identification problem by effectively exploiting a globally
discriminative feature representation from a sequence of tracked human regions/patches …

Person re-identification (Re-ID) is an important problem in video surveillance for matching
pedestrian images across non-overlap** camera views. Currently, most works focus on …

Guided image super-resolution (GISR) aims to obtain a high-resolution (HR) target image by
enhancing the spatial resolution of a low-resolution (LR) target image under the guidance of …

Person re-identification (re-ID) tackles the problem of matching person images with the
same identity from different cameras. In practical applications, due to the differences in …