Person re-identification (Re-ID) plays an important role in many areas such as robotics,
multimedia and forensics. However, it becomes difficult when considering long-term …

Video-based person Re-Identification (Re-ID) is a hot research topic in intelligent
transportation systems, which aims to retrieve video sequences of the same person under …

Unsupervised person re-identification (Re-ID) aims to learn discriminative representations
for person retrieval from unlabeled data. Recent research accomplishes this task with …

Classification is a fundamental task in the field of data mining. Unfortunately, high-
dimensional data often degrade the performance of classification. To solve this problem …

It is inevitable to recognize objects in adverse weather conditions where the uncertainty of
contour areas is increased. Although some multi-task learning frameworks have gained from …

Cloth-changing person re-identification (CC-ReID) aims to retrieve specific pedestrians in a
cloth-changing scenario. Its main challenge is to disentangle the clothing-related and …

Person re-identification (re-ID) has many applications in intelligent transportation systems.
Clustering-based methods, which alternate between the generation of pseudo labels via …

Vehicle re-identification (re-ID) has attracted extensive attention in the field of computer
vision owing to the development of smart cities. Two issues remain in the task of vehicle re …

Object Re-identification (Re-ID), which includes person Re-ID and vehicle Re-ID, is one of
the core technologies of the intelligent transportation system. Existing supervised Re-ID …