4 papers
Training-Free Inference Acceleration for Video Large Language Models: Methods, Trade-offs, and Evaluation
Yuqi Li, Chuanyue Yan, Neil Rodrigues +8
Video Large Language Models (VLMs) have demonstrated strong capabilities in video understanding and reasoning, but processing long visual sequences incurs substantial computational…
OpenHome: From Perception to Insight in Smart-Home Camera Videos
Xianglong Wang, Neil Rodrigues, Pei Guo +9
Vision language models (VLMs) have been increasingly adopted in consumer smart-home camera systems to interpret recorded videos and provide insights. However, video clips captured…
ContextTom: Training-Free Video VLM Acceleration with Early Spatial Context
Yuqi Li, Neil Rodrigues, Xianglong Wang +8
Video vision-language models process thousands of visual tokens before producing an answer. Reducing these tokens early saves computation, but also determines which evidence reache…
TeQCo: Temporal Quota Consistency for Training-Free Video Token Compression
Yuqi Li, Xianglong Wang, Neil Rodrigues +8
Video token compression must control both temporal coverage and task relevance, but sequential stages can conflict: a content-driven allocation stage may be overwritten by a global…