Abstract RGB-Thermal infrared (RGB-T) image analysis has been actively studied in recent
years. In the past decade, it has received wide attention and made a lot of important …

Visible-infrared person re-identification (VI-ReID) is a challenging task due to large cross-
modality discrepancies and intra-class variations. Existing methods mainly focus on learning …

When designing a diagnostic model for a clinical application, it is crucial to guarantee the
robustness of the model with respect to a wide range of image corruptions. Herein, an easy …

Multi-modal (ie, visible, near-infrared, and thermal-infrared) vehicle re-identification has
good potential to search vehicles of interest in low illumination. However, due to the fact that …

Person re-identification (Re-ID) in real-world scenarios suffers from various degradations,
eg, low resolution, weak lighting, and bad weather. These degradations hinders identity …

The re-identification (ReID) of individuals over a complex| network of cameras is a
challenging task, especially| under real-world surveillance conditions. Several deep …

Visible-infrared person re-identification (VI-ReID) aims to identify the same person across
visible and infrared images. Its main challenge is how to extract modality-irrelevant person …

In recent years, considerable progress has been witnessed in the person re-identification
(Re-ID). However, in a more realistic long-term scenario, the appearance shift arising from …

Stochastic embedding has several advantages over deterministic embedding, such as the
capability of associating uncertainty with the resulting embedding and robustness to noisy …

Recently, regression-based methods have dominated the field of 3D human pose and
shape estimation. Despite their promising results, a common issue is the misalignment …