Papers by Wenhao Hong
MoPrune: Scene-Guided Motion-Aware Token Pruning for Efficient Video Large Language Models (2026.findings-acl)
Copied to clipboard
| Challenge: | Prior approaches to token pruning ignore video dynamics and the fact that different scenes exhibit different redundancy patterns. |
| Approach: | They propose a token pruning framework that is train-free and scene-guided to accelerate VideoLLMs by removing redundant visual information from video frames. |
| Outcome: | MoPrune is a training-free, scene-guided and motion-centric token pruning framework for accelerating VideoLLMs. |