摘要行人重识别是计算机视觉领域近年来非常热的一个研究课题, 可以被视为图像检索的一个子
问题, 其目标是给定一个监控行人图像检索跨设备下的该行人图像. 传统的方法依赖手工特征 …

Person Re-IDentification (ReID) aims at re-identifying persons from different viewpoints
across multiple cameras. Capturing the fine-grained appearance differences is often the key …

Person re-IDentification (re-ID) under various occlusions has been a long-standing
challenge as person images with different types of occlusions often suffer from misalignment …

Cross-view geo-localization is to spot images of the same geographic target from different
platforms, eg, drone-view cameras and satellites. It is challenging in the large visual …

Attention mechanisms can extract salient features in images, which has been proven to be
effective for person re-identification. However, focusing on the saliency of an image is not …

In this paper, we study the cross-view geo-localization problem to match images from
different viewpoints. The key motivation underpinning this task is to learn a discriminative …

Person re-identification (ReID) is an intelligent video surveillance technology that retrieves
the same person from different cameras. This task is extremely challenging due to changes …

Unsupervised domain adaptive (UDA) person re-identification (re-ID) is a challenging task
due to the missing of labels for the target domain data. To handle this problem, some recent …

Occlusion poses a major challenge for person re-identification (ReID). Existing approaches
typically rely on outside tools to infer visible body parts, which may be suboptimal in terms of …

With the popularity of multimedia technology, information is always represented from
multiple views. Even though multiview data can reflect the same sample from different …