In recent years, with the increasing demand for public safety and the rapid development of
intelligent surveillance networks, person re-identification (Re-ID) has become one of the hot …

摘要行人再识别(person re-identification, ReID) 旨在解决跨摄像头跨场景下目标行人的关联与
匹配, 作为智能视频监控系统的关键环节, 对维护社会公共秩序具有重大作用 …

People live in a 3D world. However, existing works on person re-identification (re-id) mostly
consider the semantic representation learning in a 2D space, intrinsically limiting the …

Unsupervised domain adaptive (UDA) methods for person re-identification (Re-ID) aim to
transfer the knowledge of the labeled source domain to the unlabeled target domain without …

Due to its significant capability of modeling long-range dependencies, vision transformer
(ViT) has achieved promising success in both holistic and occluded person re-identification …

Aligning human parts automatically is one of the most challenging problems for person re-
identification (re-ID). Recently, the stripe-based methods, which equally partition the person …

Video hashing learns compact representation by mapping video into low-dimensional
Hamming space and has achieved promising performance in large-scale video retrieval. It is …

Multiple people can have similar appearances and portions of images can be occluded or
have viewpoint changes in real scenarios, causing the increased difficulty of person re …

The image-level label has prevailed in weakly supervised semantic segmentation tasks due
to its easy availability. Since image-level labels can only indicate the existence or absence …

Person re-identification (Re-ID) aims to retrieve the same person in the gallery. Transformers
have been introduced to the Re-ID task due to their excellent ability to model long-range …