Detecting, predicting, and alleviating traffic congestion are targeted at improving the level of
service of the transportation network. With increasing access to larger datasets of higher …

Fine-grained image analysis (FGIA) is a longstanding and fundamental problem in computer
vision and pattern recognition, and underpins a diverse set of real-world applications. The …

Vehicle re-identification is one of the core technologies of intelligent transportation systems,
and it is crucial for the construction of smart cities. With the rapid development of deep …

Vehicle re-identification (ReID) aims to retrieve the target vehicle in an extensive image
gallery through its appearances from various views in the cross-camera scenario. It has …

Object re-identification (ReID) aims to find instances with the same identity as the given
probe from a large gallery. Pairwise losses play an important role in training a strong ReID …

This paper presents an efficient and layout‐independent Automatic License Plate
Recognition (ALPR) system based on the state‐of‐the‐art you only look once (YOLO) object …

We argue that there are many notions of'similarity'and that models, like humans, should be
able to adapt to these dynamically. This contrasts with most representation learning …

Artificial intelligence (AI)-based technologies are actively used for purposes of cyber
defense. With the passage of time and with decreasing complexity in implementing AI-based …

Traffic surveillance cameras are the eyes of the Intelligent Transportation Systems (ITS).
However, they are currently isolated and can only extract information from each of their fixed …

To achieve robustness in Re-Identification, standard methods leverage tracking information
in a Video-To-Video fashion. However, these solutions face a large drop in performance for …