ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding

Yiyang Zhou, Yangfan He, Yaofeng Su +5

Video understanding is fundamental to tasks such as action recognition, video reasoning, and robotic control. Early video understanding methods based on large vision-language model…