2025
V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding
ICCV 2025poster
Vision-Language Models (VLMs) have shown promising capabilities in handling various multimodal tasks, yet they struggle in long-context scenarios, particularly tasks involving videos, high-resolution images, or lengthy image-text documents. In our work, we first conduct an empirical analysis of VLMs…