Showing cs.CVShow all
2 papers · 1 filter
cs.CV2026
QuickGrasp: Responsive Video-Language Querying Service via Accelerated Tokenization and Edge-Augmented Inference
Miao Zhang, Ruixiao Zhang, Jianxin Shi +3
Video-language models (VLMs) are reshaping video querying services, bringing unified solutions to complex perception and reasoning tasks. However, deploying large VLMs in real-worl…
cs.CV2025
StreamingAssistant: Efficient Visual Token Pruning for Accelerating Online Video Understanding
Xinqi Jin, Hanxun Yu, Bohan Yu +8
Online video understanding is essential for applications like public surveillance and AI glasses. However, applying Multimodal Large Language Models (MLLMs) to this domain is chall…