3 papers
cs.CV2026
Towards a Dynamic and Fixed-budget Memory Bank for Efficient Streaming Video Understanding
Baiyang Song, Yuli Lin, Qiong Wu +5
Currently, streaming video understanding is still a daunting task for existing \emph{multimodal large language models} (MLLMs). Its difficulties not only lie in handling the ever-i…
cs.CV2025
Towards Effective Long Video Understanding of Multimodal Large Language Models via One-shot Clip Retrieval
Tao Chen, Shaobo Ju, Qiong Wu +6
Due to excessive memory overhead, most Multimodal Large Language Models (MLLMs) can only process videos of limited frames. In this paper, we propose an effective and efficient para…
cs.CV2025
AdaFlow: Efficient Long Video Editing via Adaptive Attention Slimming And Keyframe Selection
Shuheng Zhang, Yuqi Liu, Hongbo Zhou +4
Despite great progress, text-driven long video editing is still notoriously challenging mainly due to excessive memory overhead. Although recent efforts have simplified this task i…