The applications of Vision-Language Models (VLMs) in the field of Autonomous Driving (AD)
have attracted widespread attention due to their outstanding performance and the ability to …

With the development of artificial intelligence and breakthroughs in deep learning, large-
scale foundation models (FMs), such as generative pre-trained transformer (GPT), Sora, etc …

Localizing video moments based on the movement patterns of objects is an important task in
video analytics. Existing video analytics systems offer two types of querying interfaces based …

Querying video data has become increasingly popular and useful. Video queries can be
complex, ranging from retrieval tasks (“find me the top videos that have…”), to analytics …

Radar sensors are low cost, long-range, and weather-resilient. Therefore, they are widely
used for driver assistance functions, and are expected to be crucial for the success of …

Complex video queries can be answered by decomposing them into modular subtasks.
However, existing video data management systems assume the existence of predefined …

High-quality and consistent annotations are fundamental to the successful development of
robust machine learning models. Traditional data annotation methods are resource …

As autonomous vehicles (AVs) advance, the integration of Large (Vision) Language Models
(L (V) LMs) has emerged as a promising approach to enhance AV capabilities in perception …