2 papers
cs.CV2024
Enhancing Nighttime Vehicle Detection with Day-to-Night Style Transfer and Labeling-Free Augmentation
Yunxiang Yang, Hao Zhen, Yongcan Huang +1
Existing deep learning-based object detection models perform well under daytime conditions but face significant challenges at night, primarily because they are predominantly traine…
cs.CL2024
Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and Inference
Hao Zhen, Yucheng Shi, Yongcan Huang +2
Harnessing the power of Large Language Models (LLMs), this study explores the use of three state-of-the-art LLMs, specifically GPT-3.5-turbo, LLaMA3-8B, and LLaMA3-70B, for crash s…