3 papers
cs.CV2025
Multi-Agent Visual-Language Reasoning for Comprehensive Highway Scene Understanding
Yunxiang Yang, Ningning Xu, Jidong J. Yang
This paper introduces a multi-agent framework for comprehensive highway scene understanding, designed around a mixture-of-experts strategy. In this framework, a large generic visio…
cs.CV2025
Structured Prompting and Multi-Agent Knowledge Distillation for Traffic Video Interpretation and Risk Inference
Yunxiang Yang, Ningning Xu, Jidong J. Yang
Comprehensive highway scene understanding and robust traffic risk inference are vital for advancing Intelligent Transportation Systems (ITS) and autonomous driving. Traditional app…
cs.CV2024
Leveraging Scene Geometry and Depth Information for Robust Image Deraining
Ningning Xu, Jidong J. Yang
Image deraining holds great potential for enhancing the vision of autonomous vehicles in rainy conditions, contributing to safer driving. Previous works have primarily focused on e…