Rethinking Long-Video Efficiency: A Joint Allocation Perspective on Frames, Pixels, and Front-End Latency
LoHi pairs dense low-resolution video with sparse high-resolution frames, raising long-video accuracy and cutting decode latency.
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LoHi pairs dense low-resolution video with sparse high-resolution frames, raising long-video accuracy and cutting decode latency.
CoEvoWhen jointly evolves VLM policies and media tools for ultra-long video temporal grounding without updating parameters.
Grounded Entity Biographies lift long-video QA to 72.0% on EgoLifeQA.
LVMT uses GRU memory and truncated query propagation to set a faster state of the art in long-term video segmentation.
KeyRec lets VLMs answer long-video questions using 10% of dense visual tokens via bounded memory.
Ambient team wins EgoLongQA 2026 sub-2B division by distilling an agentic long-video perception pipeline into a 2B vision-language model.
MovieGrid arranges long videos on spatial grids during post-training, generating 6.05x more shots than temporal packing with state-of-the-art cross-shot consistency.
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