LongVideo-R1 trains a reasoning agent on 33K trajectories to intelligently select informative video clips via iterative refinement and RL, achieving better accuracy-efficiency tradeoffs on long video QA benchmarks.
Tempme: Video temporal token merging for efficient text- video retrieval
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FastVGGT achieves 4x speedup on VGGT for 1000-image inputs using training-free token merging tailored to 3D architectures while reducing error accumulation.
Short, simple captions describing single actions achieve higher retrieval recall than complex multi-step or fine-grained scene descriptions across all tested models.
ST-Merge is a plug-and-play spatio-temporal token merging method that delivers 2x speedup on VLMs and 8.3x on a VLA at high resolution with minimal accuracy loss via 3D coordinate matching and positional correction.
AOT reduces visual tokens in VLLMs via intra-frame and inter-frame anchors with local-global optimal transport, delivering competitive benchmark performance and efficiency gains in a training-free way.
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Understanding the Performance Plateau in Text-to-Video Retrieval: A Comprehensive Empirical and Linguistic Analysis
Short, simple captions describing single actions achieve higher retrieval recall than complex multi-step or fine-grained scene descriptions across all tested models.