Papers with EGAgent
Agentic Very Long Video Understanding (2026.acl-long)
Copied to clipboard
Aniket Rege, Arka Sadhu, Yuliang Li, Kejie Li, Ramya Korlakai Vinayak, Yuning Chai, Yong Jae Lee, Hyo Jin Kim
| Challenge: | Existing methods for understanding video over long periods of time are limited . eGAgent system provides tools for structured search and reasoning over entity scene graphs . |
| Approach: | They propose a system that can interpret and recall video over days or weeks . they use entity scene graphs to equip a planning agent with tools for structured search and reasoning . |
| Outcome: | The proposed method achieves state-of-the-art performance on EgoLifeQA and Video-MME-long datasets. |