2 papers
cs.CV2026
Contribution-aware Token Compression for Efficient Video Understanding via Reinforcement Learning
Yinchao Ma, Qiang Zhou, Zhibin Wang +4
Video large language models have demonstrated remarkable capabilities in video understanding tasks. However, the redundancy of video tokens introduces significant computational ove…
cs.CV2025
FiLA-Video: Spatio-Temporal Compression for Fine-Grained Long Video Understanding
Yanan Guo, Wenhui Dong, Jun Song +7
Recent advancements in video understanding within visual large language models (VLLMs) have led to notable progress. However, the complexity of video data and contextual processing…