Jinnyeong Yang

LLMs can decode partner intents but struggle to translate this knowledge into cooperative actions, with explicit action recommendations proving far more effective than abstract rule statements.

Automating LiDAR annotation can cut down the labor-intensive process of data labeling while achieving near-human accuracy in segmentation tasks.

FrozenDrive generates high-fidelity driving scenes under adverse conditions without sacrificing pre-trained model knowledge, outperforming existing methods.