In the vast and dynamic landscape of urban settings Traffic Safety Description and Analysis
plays a pivotal role in applications ranging from insurance inspection to accident prevention …

The analysis of traffic patterns is crucial for enhancing safety and optimizing flow within
urban cities. While urban cities possess extensive camera networks for monitoring the raw …

The increasing complexity of traffic dynamics has underscored the necessity for advanced
traffic safety description and analysis challenging the efficacy of current methodologies in …

Visual language models (VLMs) rapidly progressed with the recent success of large
language models. There have been growing efforts on visual instruction tuning to extend the …

Traffic video description and analysis have received much attention recently due to the
growing demand for efficient and reliable urban surveillance systems. Most existing methods …

Vision language models (VLMs) have experienced rapid advancements through the
integration of large language models (LLMs) with image-text pairs yet they struggle with …

Unified vision-language frameworks have greatly advanced in recent years, most of which
adopt an encoder-decoder architecture to unify image-text tasks as sequence-to-sequence …

Vision-Language Models (VLMs) and Multi-Modal Language models (MMLMs) have
become prominent in autonomous driving research, as these models can provide …

In recent years large visual-language (V+ L) models have achieved great success in various
downstream tasks. However it is not well studied whether these models have a conceptual …

In our work, we explore the synergistic capabilities of pre-trained vision-and-language
models (VLMs) and large language models (LLMs) for visual commonsense reasoning …